Calculates joint and conditional return periods
Conditional_RP_2D.RdUnivariate return period events are obtained from the GPDs to be consistent with the isolines produced by the Design_Event_2D function.
To find the conditional probabilities a large number of realizations are simulated from the copulas fit to the conditioned samples, in proportion with the sizes of the conditional samples. The realizations are transformed to the original scale and the relevant probabilities estimated empirically.
Usage
Conditional_RP_2D(
Data,
Data_Con1,
Data_Con2,
u1,
u2,
Thres1 = NA,
Thres2 = NA,
Copula_Family1,
Copula_Family2,
Marginal_Dist1,
Marginal_Dist2,
Con1 = "Rainfall",
Con2 = "OsWL",
mu = 365.25,
Con_Var,
RP_Con,
RP_Non_Con,
Var1 = NA,
Var2 = NA,
x_lab = "Rainfall (mm)",
y_lab = "O-sWL (mNGVD 29)",
x_lim_min = NA,
x_lim_max = NA,
y_lim_min = NA,
y_lim_max = NA,
DecP = 2,
N
)Arguments
- Data
Data frame of dimension
nx2containing two co-occurring time series of lengthn.- Data_Con1
Data frame containing the conditional sample (declustered excesses paired with concurrent values of other variable), conditioned on the variable in the first column.
- Data_Con2
Data frame containing the conditional sample (declustered excesses paired with concurrent values of other variable), conditioned on the variable in the second column. Can be obtained using the
Con_Sampling_2Dfunction.- u1
Numeric vector of length one specifying the (quantile) threshold above which the variable in the first column was sampled in Data_Con1.
- u2
Numeric vector of length one specifying the (quantile) threshold above which the variable in the second column was sampled in Data_Con2.
- Thres1
Numeric vector of length one specifying the threshold above which the variable in the first column was sampled in Data_Con1. Only one of
u1andThres1should be supplied. Default isNA.- Thres2
Numeric vector of length one specifying the threshold above which the variable in the second column was sampled in Data_Con2. Only one of
u2andThres2should be supplied. Default isNA.- Copula_Family1
Numeric vector of length one specifying the copula family used to model the
Data_Con1dataset.- Copula_Family2
Numeric vector of length one specifying the copula family used to model the
Data_Con2dataset. Best fitting of 40 copulas can be found using theCopula_Threshold_2Dfunction.- Marginal_Dist1
Character vector of length one specifying (non-extreme) distribution used to model the marginal distribution of the non-conditioned variable in
Data_Con1.- Marginal_Dist2
Character vector of length one specifying (non-extreme) distribution used to model the marginal distribution of the non-conditioned variable in
Data_Con2.- Con1
Character vector of length one specifying the name of variable in the first column of
Data.- Con2
Character vector of length one specifying the name of variable in the second column of
Data.- mu
Numeric vector of length one specifying the (average) occurrence frequency of events in
Data. Default is365.25, daily data.- Con_Var
Character vector of length one specifying the (column) name of the conditioning variable.
- RP_Con
Numeric vector of length one specifying the return period of the conditioning variable
Con_Var.- RP_Non_Con
Numeric vector of length one specifying the return period of the non-conditioning variable.
- Var1
Numeric vector of length one specifying a value of variable in the first column of
Data. Can be used instead of specifying a return period. Default isNA.- Var2
Numeric vector of length one specifying a value of variable in the second column of
Data. Can be used instead of specifying a return period. Default isNA.- x_lab
Character vector specifying the x-axis label.
- y_lab
Character vector specifying the y-axis label.
- x_lim_min
Numeric vector of length one specifying x-axis minimum. Default is
NA.- x_lim_max
Numeric vector of length one specifying x-axis maximum. Default is
NA.- y_lim_min
Numeric vector of length one specifying y-axis minimum. Default is
NA.- y_lim_max
Numeric vector of length one specifying y-axis maximum. Default is
NA.- DecP
Numeric vector of length one specifying the number of decimal places to round the data in the conditional samples to in order to identify observations in both conditional samples. Default is
2.- N
Numeric vector of length one specifying the size of the sample from the fitted joint distributions used to estimate the density along an isoline. Samples are collected from the two joint distribution with proportions consistent with the total number of extreme events conditioned on each variable. Default is
10^6
Value
Console output:
Con_Var Name of the conditioning variable
RP_Var1 Return period of variable Con1 i.e., variable in second column of
DataRP_Var2 Return period of variable Con2 i.e., variable in third column of
DataVar1 Value of Con1 at the return period of interest i.e. RP_Var1
Var2 Value of Con2 at the return period of interest i.e. RP_Var2
RP_Full_Dependence Joint return period of the (Var1,Var2) event under full dependence
RP_Independence Joint return period of the (Var1,Var2) event under independence
RP_Copula Joint return period of the (Var1,Var2) event according to the two sided conditional sampling - copula theory approach
Prob Probability associated with
RP_CopulaN_Excess Number of realizations of the
Con_VaraboveRP_Con-year return period valueNon_Con_Var_X Values of the non-conditioned variable of the (conditional) Cummulative Distribution Function (CDF) i.e. x-axis of bottom left plot
Con_Prob
Con_ProbCDF of the non-conditioned variable given the return period ofCon_VarexceedsRP_ConCon_Prob_Est Probability the non-conditioned variable is less than or equal to
RP_Non_Congiven the return period ofCon_VarexceedsRP_Con
Graphical output:
Top left: Sample conditioned on Con1 (red crosses) and Con2 (blue circles). Black dot is the event with a marginal return period of the conditioned variable
Var_Conand non-conditioned variable equal toRP_ConandRP_Non_Con, respectively. The joint return period of the event using the conditional sampling - copula theory approach and under the assumptions of full dependence and independence between the variables are printed.Top right: Sample conditioned on Con1 (red crosses) and Con2 (blue circles). Only the region where Con_Var exceeds RP_Con is visible. This is the region for which the conditional distribution (of the non-conditioned variable given Con_Var exceeds RP_Con) and in turn conditional return periods are calculated.
Bottom left: Conditional Cumulative Distribution Function (CDF) of the non-conditioned variable given the marginal return period of the conditioned variable
Var_ConexceedsRP_Conyears i.e. the points visible in the top right plot.Bottom right: Conditional return period of the non-conditioned variable given the conditioned variable
Var_Conhas a return period longer thanRP_Con.
Examples
#Under a 10yr (or greater) rainfall event condition, what is the joint probability that a 10yr
#O-sWL event occurs simultaneously? What is the cumulative probability of events with the
#frequency equal to or less than a 10yr O-sWL event?
#Conditional samples
con.sample.Rainfall<-Con_Sampling_2D(Data_Detrend=S22.Detrend.df[,-c(1,4)],
Data_Declust=S22.Detrend.Declustered.df[,-c(1,4)],
Con_Variable="Rainfall",u=0.98)
con.sample.OsWL<-Con_Sampling_2D(Data_Detrend=S22.Detrend.df[,-c(1,4)],
Data_Declust=S22.Detrend.Declustered.df[,-c(1,4)],
Con_Variable="OsWL",u=0.98)
#Add some noise to rainfall to aid distribution fitting in Conditional_RP_2D function
con.sample.OsWL$Data$Rainfall<-con.sample.OsWL$Data$Rainfall+
runif(length(con.sample.OsWL$Data$Rainfall),0.001,0.01)
#Find the best fitting copula
cop.Rainfall <- Copula_Threshold_2D(Data_Detrend=S22.Detrend.df[,-c(1,4)],
Data_Declust=S22.Detrend.Declustered.df[,-c(1,4)],
u1=0.98, u2=NA, PLOT=FALSE)$Copula_Family_Var1
cop.OsWL<- Copula_Threshold_2D(Data_Detrend=S22.Detrend.df[,-c(1,4)],
Data_Declust=S22.Detrend.Declustered.df[,-c(1,4)],
u1=NA, u2=0.98, PLOT=FALSE)$Copula_Family_Var2
#Calculate conditional probabilities
Conditional_RP_2D(Data=S22.Detrend.df,
Data_Con1=con.sample.Rainfall$Data, Data_Con2=con.sample.OsWL$Data,
u1=0.98, u2=0.98,
Copula_Family1=cop.Rainfall,Copula_Family2=cop.OsWL,
Marginal_Dist1="Logis", Marginal_Dist2="BS",
Con1 = "Rainfall", Con2 = "OsWL",
mu = 365.25,
Con_Var="Rainfall",
RP_Con=10, RP_Non_Con=10,
x_lab = "Rainfall (Inches)", y_lab = "O-sWL (ft NGVD 29)",
y_lim_max = 10,
N=10^4)
#> Warning: NaNs produced
#> Warning: NaNs produced
#> $Con_Var
#> [1] "Rainfall"
#>
#> $RP_Var1
#> [1] 10
#>
#> $RP_Var2
#> [1] 10
#>
#> $Var1
#> [1] 7.248577
#>
#> $Var2
#> [1] 4.139639
#>
#> $RP_Full_Dependence
#> [1] 10
#>
#> $RP_Independence
#> [1] 100
#>
#> $RP_Copula
#> [1] 55.17067
#>
#> $Prob
#> [1] 0.01812557
#>
#> $N_Excess
#> [1] 137
#>
#> $Non_Con_Var_X
#> [1] 1.47 1.48 1.49 1.50 1.51 1.52 1.53 1.54 1.55 1.56 1.57 1.58
#> [13] 1.59 1.60 1.61 1.62 1.63 1.64 1.65 1.66 1.67 1.68 1.69 1.70
#> [25] 1.71 1.72 1.73 1.74 1.75 1.76 1.77 1.78 1.79 1.80 1.81 1.82
#> [37] 1.83 1.84 1.85 1.86 1.87 1.88 1.89 1.90 1.91 1.92 1.93 1.94
#> [49] 1.95 1.96 1.97 1.98 1.99 2.00 2.01 2.02 2.03 2.04 2.05 2.06
#> [61] 2.07 2.08 2.09 2.10 2.11 2.12 2.13 2.14 2.15 2.16 2.17 2.18
#> [73] 2.19 2.20 2.21 2.22 2.23 2.24 2.25 2.26 2.27 2.28 2.29 2.30
#> [85] 2.31 2.32 2.33 2.34 2.35 2.36 2.37 2.38 2.39 2.40 2.41 2.42
#> [97] 2.43 2.44 2.45 2.46 2.47 2.48 2.49 2.50 2.51 2.52 2.53 2.54
#> [109] 2.55 2.56 2.57 2.58 2.59 2.60 2.61 2.62 2.63 2.64 2.65 2.66
#> [121] 2.67 2.68 2.69 2.70 2.71 2.72 2.73 2.74 2.75 2.76 2.77 2.78
#> [133] 2.79 2.80 2.81 2.82 2.83 2.84 2.85 2.86 2.87 2.88 2.89 2.90
#> [145] 2.91 2.92 2.93 2.94 2.95 2.96 2.97 2.98 2.99 3.00 3.01 3.02
#> [157] 3.03 3.04 3.05 3.06 3.07 3.08 3.09 3.10 3.11 3.12 3.13 3.14
#> [169] 3.15 3.16 3.17 3.18 3.19 3.20 3.21 3.22 3.23 3.24 3.25 3.26
#> [181] 3.27 3.28 3.29 3.30 3.31 3.32 3.33 3.34 3.35 3.36 3.37 3.38
#> [193] 3.39 3.40 3.41 3.42 3.43 3.44 3.45 3.46 3.47 3.48 3.49 3.50
#> [205] 3.51 3.52 3.53 3.54 3.55 3.56 3.57 3.58 3.59 3.60 3.61 3.62
#> [217] 3.63 3.64 3.65 3.66 3.67 3.68 3.69 3.70 3.71 3.72 3.73 3.74
#> [229] 3.75 3.76 3.77 3.78 3.79 3.80 3.81 3.82 3.83 3.84 3.85 3.86
#> [241] 3.87 3.88 3.89 3.90 3.91 3.92 3.93 3.94 3.95 3.96 3.97 3.98
#> [253] 3.99 4.00 4.01 4.02 4.03 4.04 4.05 4.06 4.07 4.08 4.09 4.10
#> [265] 4.11 4.12 4.13 4.14 4.15 4.16 4.17 4.18 4.19 4.20 4.21 4.22
#> [277] 4.23 4.24 4.25 4.26 4.27 4.28 4.29 4.30 4.31 4.32 4.33 4.34
#> [289] 4.35 4.36 4.37 4.38 4.39 4.40 4.41 4.42 4.43 4.44 4.45 4.46
#> [301] 4.47 4.48 4.49 4.50 4.51 4.52 4.53 4.54 4.55 4.56 4.57 4.58
#> [313] 4.59 4.60 4.61 4.62 4.63 4.64 4.65 4.66 4.67 4.68 4.69 4.70
#> [325] 4.71 4.72 4.73 4.74 4.75 4.76 4.77 4.78 4.79 4.80 4.81 4.82
#> [337] 4.83 4.84 4.85 4.86 4.87 4.88 4.89 4.90 4.91 4.92 4.93 4.94
#> [349] 4.95 4.96 4.97 4.98 4.99 5.00 5.01 5.02 5.03 5.04 5.05 5.06
#> [361] 5.07 5.08 5.09 5.10 5.11 5.12 5.13 5.14 5.15 5.16 5.17 5.18
#> [373] 5.19 5.20 5.21 5.22 5.23 5.24 5.25 5.26 5.27 5.28 5.29 5.30
#> [385] 5.31 5.32 5.33 5.34 5.35 5.36 5.37 5.38 5.39 5.40 5.41 5.42
#> [397] 5.43 5.44 5.45 5.46 5.47 5.48 5.49 5.50 5.51 5.52 5.53 5.54
#> [409] 5.55 5.56 5.57 5.58 5.59 5.60 5.61 5.62 5.63 5.64 5.65 5.66
#> [421] 5.67 5.68 5.69 5.70 5.71 5.72 5.73 5.74 5.75 5.76 5.77 5.78
#> [433] 5.79 5.80 5.81 5.82 5.83 5.84 5.85 5.86 5.87 5.88 5.89 5.90
#> [445] 5.91 5.92 5.93 5.94 5.95 5.96 5.97 5.98 5.99 6.00 6.01 6.02
#> [457] 6.03 6.04 6.05 6.06 6.07 6.08 6.09 6.10 6.11 6.12 6.13 6.14
#> [469] 6.15 6.16 6.17 6.18 6.19 6.20 6.21 6.22 6.23 6.24 6.25 6.26
#> [481] 6.27 6.28 6.29 6.30 6.31 6.32 6.33 6.34 6.35 6.36 6.37 6.38
#> [493] 6.39 6.40 6.41 6.42 6.43 6.44 6.45 6.46 6.47 6.48 6.49 6.50
#> [505] 6.51 6.52 6.53 6.54 6.55 6.56 6.57 6.58 6.59 6.60 6.61 6.62
#> [517] 6.63 6.64 6.65 6.66 6.67 6.68 6.69 6.70 6.71 6.72 6.73 6.74
#> [529] 6.75 6.76 6.77 6.78 6.79 6.80 6.81 6.82 6.83 6.84 6.85 6.86
#> [541] 6.87 6.88 6.89 6.90 6.91 6.92 6.93 6.94 6.95 6.96 6.97 6.98
#> [553] 6.99 7.00 7.01 7.02 7.03 7.04 7.05 7.06 7.07 7.08 7.09 7.10
#> [565] 7.11 7.12 7.13 7.14 7.15 7.16 7.17 7.18 7.19 7.20 7.21 7.22
#> [577] 7.23 7.24 7.25 7.26 7.27 7.28 7.29 7.30 7.31 7.32 7.33 7.34
#> [589] 7.35 7.36 7.37 7.38 7.39 7.40 7.41 7.42 7.43 7.44 7.45 7.46
#> [601] 7.47 7.48 7.49 7.50 7.51 7.52 7.53 7.54 7.55 7.56 7.57 7.58
#> [613] 7.59 7.60 7.61 7.62 7.63 7.64 7.65 7.66 7.67 7.68 7.69 7.70
#> [625] 7.71 7.72 7.73 7.74 7.75 7.76 7.77 7.78 7.79 7.80 7.81 7.82
#> [637] 7.83 7.84 7.85 7.86 7.87 7.88 7.89 7.90 7.91 7.92 7.93 7.94
#> [649] 7.95 7.96 7.97 7.98 7.99 8.00 8.01 8.02 8.03 8.04 8.05 8.06
#> [661] 8.07 8.08 8.09 8.10 8.11 8.12 8.13 8.14 8.15 8.16 8.17 8.18
#> [673] 8.19 8.20 8.21 8.22 8.23 8.24 8.25 8.26 8.27 8.28 8.29 8.30
#> [685] 8.31 8.32 8.33 8.34 8.35 8.36 8.37 8.38 8.39 8.40 8.41 8.42
#> [697] 8.43 8.44 8.45 8.46 8.47 8.48 8.49 8.50 8.51 8.52 8.53 8.54
#> [709] 8.55 8.56 8.57 8.58 8.59 8.60 8.61 8.62 8.63 8.64 8.65 8.66
#> [721] 8.67 8.68 8.69 8.70 8.71 8.72 8.73 8.74 8.75 8.76 8.77 8.78
#> [733] 8.79 8.80 8.81 8.82 8.83 8.84 8.85 8.86 8.87 8.88 8.89 8.90
#> [745] 8.91 8.92 8.93 8.94 8.95 8.96 8.97 8.98 8.99 9.00 9.01 9.02
#> [757] 9.03 9.04 9.05 9.06 9.07 9.08 9.09 9.10 9.11 9.12 9.13 9.14
#> [769] 9.15 9.16 9.17 9.18 9.19 9.20 9.21 9.22 9.23 9.24 9.25 9.26
#> [781] 9.27 9.28 9.29 9.30 9.31 9.32 9.33 9.34 9.35 9.36 9.37 9.38
#> [793] 9.39 9.40 9.41 9.42 9.43 9.44 9.45 9.46 9.47 9.48 9.49 9.50
#> [805] 9.51 9.52 9.53 9.54 9.55 9.56 9.57 9.58 9.59 9.60 9.61 9.62
#> [817] 9.63 9.64 9.65 9.66 9.67 9.68 9.69 9.70 9.71 9.72 9.73 9.74
#> [829] 9.75 9.76 9.77 9.78 9.79 9.80 9.81 9.82 9.83 9.84 9.85 9.86
#> [841] 9.87 9.88 9.89 9.90 9.91 9.92 9.93 9.94 9.95 9.96 9.97 9.98
#> [853] 9.99 10.00 10.01 10.02 10.03 10.04 10.05 10.06 10.07 10.08 10.09 10.10
#> [865] 10.11 10.12 10.13 10.14 10.15 10.16 10.17 10.18 10.19 10.20 10.21 10.22
#> [877] 10.23 10.24 10.25 10.26 10.27 10.28 10.29 10.30 10.31 10.32 10.33 10.34
#> [889] 10.35 10.36 10.37 10.38 10.39 10.40 10.41 10.42 10.43 10.44 10.45 10.46
#> [901] 10.47 10.48 10.49 10.50 10.51 10.52 10.53 10.54 10.55 10.56 10.57 10.58
#> [913] 10.59 10.60 10.61 10.62 10.63 10.64 10.65 10.66 10.67 10.68 10.69 10.70
#> [925] 10.71 10.72 10.73 10.74 10.75 10.76 10.77 10.78 10.79 10.80 10.81 10.82
#> [937] 10.83 10.84 10.85 10.86 10.87 10.88 10.89 10.90 10.91 10.92 10.93 10.94
#> [949] 10.95 10.96 10.97 10.98 10.99 11.00 11.01 11.02 11.03 11.04 11.05 11.06
#> [961] 11.07 11.08 11.09 11.10 11.11 11.12 11.13 11.14 11.15 11.16 11.17 11.18
#> [973] 11.19 11.20 11.21 11.22 11.23 11.24 11.25 11.26 11.27 11.28 11.29 11.30
#> [985] 11.31 11.32 11.33 11.34 11.35 11.36 11.37 11.38 11.39 11.40 11.41 11.42
#> [997] 11.43 11.44 11.45 11.46 11.47 11.48 11.49 11.50 11.51 11.52 11.53 11.54
#> [1009] 11.55 11.56 11.57 11.58 11.59 11.60 11.61 11.62 11.63 11.64 11.65 11.66
#> [1021] 11.67 11.68 11.69 11.70 11.71 11.72 11.73 11.74 11.75 11.76 11.77 11.78
#> [1033] 11.79 11.80 11.81 11.82 11.83 11.84 11.85 11.86 11.87 11.88 11.89 11.90
#> [1045] 11.91 11.92 11.93 11.94 11.95 11.96 11.97 11.98 11.99 12.00 12.01 12.02
#> [1057] 12.03 12.04 12.05 12.06 12.07 12.08 12.09 12.10 12.11 12.12 12.13 12.14
#> [1069] 12.15 12.16 12.17 12.18 12.19 12.20 12.21 12.22 12.23 12.24 12.25 12.26
#> [1081] 12.27 12.28 12.29 12.30 12.31 12.32 12.33 12.34 12.35 12.36 12.37 12.38
#> [1093] 12.39 12.40 12.41 12.42 12.43 12.44 12.45 12.46 12.47 12.48 12.49 12.50
#> [1105] 12.51 12.52 12.53 12.54 12.55 12.56 12.57 12.58 12.59 12.60 12.61 12.62
#> [1117] 12.63 12.64 12.65 12.66 12.67 12.68 12.69 12.70 12.71 12.72 12.73 12.74
#> [1129] 12.75 12.76 12.77 12.78 12.79 12.80 12.81 12.82 12.83 12.84 12.85 12.86
#> [1141] 12.87 12.88 12.89 12.90 12.91 12.92 12.93 12.94 12.95 12.96 12.97 12.98
#> [1153] 12.99 13.00 13.01 13.02 13.03 13.04 13.05 13.06 13.07 13.08 13.09 13.10
#> [1165] 13.11 13.12 13.13 13.14 13.15 13.16 13.17 13.18 13.19 13.20 13.21 13.22
#> [1177] 13.23 13.24 13.25 13.26 13.27 13.28 13.29 13.30 13.31 13.32 13.33 13.34
#> [1189] 13.35 13.36 13.37 13.38 13.39 13.40 13.41 13.42 13.43 13.44 13.45 13.46
#> [1201] 13.47 13.48 13.49 13.50 13.51 13.52 13.53 13.54 13.55 13.56 13.57 13.58
#> [1213] 13.59 13.60 13.61 13.62 13.63 13.64 13.65 13.66 13.67 13.68 13.69 13.70
#> [1225] 13.71 13.72 13.73 13.74 13.75 13.76 13.77 13.78 13.79 13.80 13.81 13.82
#> [1237] 13.83 13.84 13.85 13.86 13.87 13.88 13.89 13.90 13.91 13.92 13.93 13.94
#> [1249] 13.95 13.96 13.97 13.98 13.99 14.00 14.01 14.02 14.03 14.04 14.05 14.06
#> [1261] 14.07 14.08 14.09 14.10 14.11 14.12 14.13 14.14 14.15 14.16 14.17 14.18
#> [1273] 14.19 14.20 14.21 14.22 14.23 14.24 14.25 14.26 14.27 14.28 14.29 14.30
#> [1285] 14.31 14.32 14.33 14.34 14.35 14.36 14.37 14.38 14.39 14.40 14.41 14.42
#> [1297] 14.43 14.44 14.45 14.46 14.47 14.48 14.49 14.50 14.51 14.52 14.53 14.54
#> [1309] 14.55 14.56 14.57 14.58 14.59 14.60 14.61 14.62 14.63 14.64 14.65 14.66
#> [1321] 14.67 14.68 14.69 14.70 14.71 14.72 14.73 14.74 14.75 14.76 14.77 14.78
#> [1333] 14.79 14.80 14.81 14.82 14.83 14.84 14.85 14.86 14.87 14.88 14.89 14.90
#> [1345] 14.91 14.92 14.93 14.94 14.95 14.96 14.97 14.98 14.99 15.00 15.01 15.02
#> [1357] 15.03 15.04 15.05 15.06 15.07 15.08 15.09 15.10 15.11 15.12 15.13 15.14
#> [1369] 15.15 15.16 15.17 15.18 15.19 15.20 15.21 15.22 15.23 15.24 15.25 15.26
#> [1381] 15.27 15.28 15.29 15.30 15.31 15.32 15.33 15.34 15.35 15.36 15.37 15.38
#> [1393] 15.39 15.40 15.41 15.42 15.43 15.44 15.45 15.46 15.47 15.48 15.49 15.50
#> [1405] 15.51 15.52 15.53 15.54 15.55 15.56 15.57 15.58 15.59 15.60 15.61 15.62
#> [1417] 15.63 15.64 15.65 15.66 15.67 15.68 15.69 15.70 15.71 15.72 15.73 15.74
#> [1429] 15.75 15.76 15.77 15.78 15.79 15.80 15.81 15.82 15.83 15.84 15.85 15.86
#> [1441] 15.87 15.88 15.89 15.90 15.91 15.92 15.93 15.94 15.95 15.96 15.97 15.98
#> [1453] 15.99 16.00 16.01 16.02 16.03 16.04 16.05 16.06 16.07 16.08 16.09 16.10
#> [1465] 16.11 16.12 16.13 16.14 16.15 16.16 16.17 16.18 16.19 16.20 16.21 16.22
#> [1477] 16.23 16.24 16.25 16.26 16.27 16.28 16.29 16.30 16.31 16.32 16.33 16.34
#> [1489] 16.35 16.36 16.37 16.38 16.39 16.40 16.41 16.42 16.43 16.44 16.45 16.46
#> [1501] 16.47 16.48 16.49 16.50 16.51 16.52 16.53 16.54 16.55 16.56 16.57 16.58
#> [1513] 16.59 16.60 16.61 16.62 16.63 16.64 16.65 16.66 16.67 16.68 16.69 16.70
#> [1525] 16.71 16.72 16.73 16.74 16.75 16.76 16.77 16.78 16.79 16.80 16.81 16.82
#> [1537] 16.83 16.84 16.85 16.86 16.87 16.88 16.89 16.90 16.91 16.92 16.93 16.94
#> [1549] 16.95 16.96 16.97 16.98 16.99 17.00 17.01 17.02 17.03 17.04 17.05 17.06
#> [1561] 17.07 17.08 17.09 17.10 17.11 17.12 17.13 17.14 17.15 17.16 17.17 17.18
#> [1573] 17.19 17.20 17.21 17.22 17.23 17.24 17.25 17.26 17.27 17.28 17.29 17.30
#> [1585] 17.31 17.32 17.33 17.34 17.35 17.36 17.37 17.38 17.39 17.40 17.41 17.42
#> [1597] 17.43 17.44 17.45 17.46 17.47 17.48 17.49 17.50 17.51 17.52 17.53 17.54
#> [1609] 17.55 17.56 17.57 17.58 17.59 17.60 17.61 17.62 17.63 17.64 17.65 17.66
#> [1621] 17.67 17.68 17.69 17.70 17.71 17.72 17.73 17.74 17.75 17.76 17.77 17.78
#> [1633] 17.79 17.80 17.81 17.82 17.83 17.84 17.85 17.86 17.87 17.88 17.89 17.90
#> [1645] 17.91 17.92 17.93 17.94 17.95 17.96 17.97 17.98 17.99 18.00 18.01 18.02
#> [1657] 18.03 18.04 18.05 18.06 18.07 18.08 18.09 18.10 18.11 18.12 18.13 18.14
#> [1669] 18.15 18.16 18.17 18.18 18.19 18.20 18.21 18.22 18.23 18.24 18.25 18.26
#> [1681] 18.27 18.28 18.29 18.30 18.31 18.32 18.33 18.34 18.35 18.36 18.37 18.38
#> [1693] 18.39 18.40 18.41 18.42 18.43 18.44 18.45 18.46 18.47 18.48 18.49 18.50
#> [1705] 18.51 18.52 18.53 18.54 18.55 18.56 18.57 18.58 18.59 18.60 18.61 18.62
#> [1717] 18.63 18.64 18.65 18.66 18.67 18.68 18.69 18.70 18.71 18.72 18.73 18.74
#> [1729] 18.75 18.76 18.77 18.78 18.79 18.80 18.81 18.82 18.83 18.84 18.85 18.86
#> [1741] 18.87 18.88 18.89 18.90 18.91 18.92 18.93 18.94 18.95 18.96 18.97 18.98
#> [1753] 18.99 19.00 19.01 19.02 19.03 19.04 19.05 19.06 19.07 19.08 19.09 19.10
#> [1765] 19.11 19.12 19.13 19.14 19.15 19.16 19.17 19.18 19.19 19.20 19.21 19.22
#> [1777] 19.23 19.24 19.25 19.26 19.27 19.28 19.29 19.30 19.31 19.32 19.33 19.34
#> [1789] 19.35 19.36 19.37 19.38 19.39 19.40 19.41 19.42 19.43 19.44 19.45 19.46
#> [1801] 19.47 19.48 19.49 19.50 19.51 19.52 19.53 19.54 19.55 19.56 19.57 19.58
#> [1813] 19.59 19.60 19.61 19.62 19.63 19.64 19.65 19.66 19.67 19.68 19.69 19.70
#> [1825] 19.71 19.72 19.73 19.74 19.75 19.76 19.77 19.78 19.79 19.80 19.81 19.82
#> [1837] 19.83 19.84 19.85 19.86 19.87 19.88 19.89 19.90 19.91 19.92 19.93 19.94
#> [1849] 19.95 19.96 19.97 19.98 19.99 20.00 20.01 20.02 20.03 20.04 20.05 20.06
#> [1861] 20.07 20.08 20.09 20.10 20.11 20.12 20.13 20.14 20.15 20.16 20.17 20.18
#> [1873] 20.19 20.20 20.21 20.22 20.23 20.24 20.25 20.26 20.27 20.28 20.29 20.30
#> [1885] 20.31 20.32 20.33 20.34 20.35 20.36 20.37 20.38 20.39 20.40 20.41 20.42
#> [1897] 20.43 20.44 20.45 20.46 20.47 20.48 20.49 20.50 20.51 20.52 20.53 20.54
#> [1909] 20.55 20.56 20.57 20.58 20.59 20.60 20.61 20.62 20.63 20.64 20.65 20.66
#> [1921] 20.67 20.68 20.69 20.70 20.71 20.72 20.73 20.74 20.75 20.76 20.77 20.78
#> [1933] 20.79 20.80 20.81 20.82 20.83 20.84 20.85 20.86 20.87 20.88 20.89 20.90
#> [1945] 20.91 20.92 20.93 20.94 20.95 20.96 20.97 20.98 20.99 21.00 21.01 21.02
#> [1957] 21.03 21.04 21.05 21.06 21.07 21.08 21.09 21.10 21.11 21.12 21.13 21.14
#> [1969] 21.15 21.16 21.17 21.18 21.19 21.20 21.21 21.22 21.23 21.24 21.25 21.26
#> [1981] 21.27 21.28 21.29 21.30 21.31 21.32 21.33 21.34 21.35 21.36 21.37 21.38
#> [1993] 21.39 21.40 21.41 21.42 21.43 21.44 21.45 21.46 21.47 21.48 21.49 21.50
#> [2005] 21.51 21.52 21.53 21.54 21.55 21.56 21.57 21.58 21.59 21.60 21.61 21.62
#> [2017] 21.63 21.64 21.65 21.66 21.67 21.68 21.69 21.70 21.71 21.72 21.73 21.74
#> [2029] 21.75 21.76 21.77 21.78 21.79 21.80 21.81 21.82 21.83 21.84 21.85 21.86
#> [2041] 21.87 21.88 21.89 21.90 21.91 21.92 21.93 21.94 21.95 21.96 21.97 21.98
#> [2053] 21.99 22.00 22.01 22.02 22.03 22.04 22.05 22.06 22.07 22.08 22.09 22.10
#> [2065] 22.11 22.12 22.13 22.14 22.15 22.16 22.17 22.18 22.19 22.20 22.21 22.22
#> [2077] 22.23 22.24 22.25 22.26 22.27 22.28 22.29 22.30 22.31 22.32 22.33 22.34
#> [2089] 22.35 22.36 22.37 22.38 22.39 22.40 22.41 22.42 22.43 22.44 22.45 22.46
#> [2101] 22.47 22.48 22.49 22.50 22.51 22.52 22.53 22.54 22.55 22.56 22.57 22.58
#> [2113] 22.59 22.60 22.61 22.62 22.63 22.64 22.65 22.66 22.67 22.68 22.69 22.70
#> [2125] 22.71 22.72 22.73 22.74 22.75 22.76 22.77 22.78 22.79 22.80 22.81 22.82
#> [2137] 22.83 22.84 22.85 22.86 22.87 22.88 22.89 22.90 22.91 22.92 22.93 22.94
#> [2149] 22.95 22.96 22.97 22.98 22.99 23.00 23.01 23.02 23.03 23.04 23.05 23.06
#> [2161] 23.07 23.08 23.09 23.10 23.11 23.12 23.13 23.14 23.15 23.16 23.17 23.18
#> [2173] 23.19 23.20 23.21 23.22 23.23 23.24 23.25 23.26 23.27 23.28 23.29 23.30
#> [2185] 23.31 23.32 23.33 23.34 23.35 23.36 23.37 23.38 23.39 23.40 23.41 23.42
#> [2197] 23.43 23.44 23.45 23.46 23.47 23.48 23.49 23.50 23.51 23.52 23.53 23.54
#> [2209] 23.55 23.56 23.57 23.58 23.59 23.60 23.61 23.62 23.63 23.64 23.65 23.66
#> [2221] 23.67 23.68 23.69 23.70 23.71 23.72 23.73 23.74 23.75 23.76 23.77 23.78
#> [2233] 23.79 23.80 23.81 23.82 23.83 23.84 23.85 23.86 23.87 23.88 23.89 23.90
#> [2245] 23.91 23.92 23.93 23.94 23.95 23.96 23.97 23.98 23.99 24.00 24.01 24.02
#> [2257] 24.03 24.04 24.05 24.06 24.07 24.08 24.09 24.10 24.11 24.12 24.13 24.14
#> [2269] 24.15 24.16 24.17 24.18 24.19 24.20 24.21 24.22 24.23 24.24 24.25 24.26
#> [2281] 24.27 24.28 24.29 24.30 24.31 24.32 24.33 24.34 24.35 24.36 24.37 24.38
#> [2293] 24.39 24.40 24.41 24.42 24.43 24.44 24.45 24.46 24.47 24.48 24.49 24.50
#> [2305] 24.51 24.52 24.53 24.54 24.55 24.56 24.57 24.58 24.59 24.60 24.61 24.62
#> [2317] 24.63 24.64 24.65 24.66 24.67 24.68 24.69 24.70 24.71 24.72 24.73 24.74
#> [2329] 24.75 24.76 24.77 24.78 24.79 24.80 24.81 24.82 24.83 24.84 24.85 24.86
#> [2341] 24.87 24.88 24.89 24.90 24.91 24.92 24.93 24.94 24.95 24.96 24.97 24.98
#> [2353] 24.99 25.00 25.01 25.02 25.03 25.04 25.05 25.06 25.07 25.08 25.09 25.10
#> [2365] 25.11 25.12 25.13 25.14 25.15 25.16 25.17 25.18 25.19 25.20 25.21 25.22
#> [2377] 25.23 25.24 25.25 25.26 25.27 25.28 25.29 25.30 25.31 25.32 25.33 25.34
#> [2389] 25.35 25.36 25.37 25.38 25.39 25.40 25.41 25.42 25.43 25.44 25.45 25.46
#> [2401] 25.47 25.48 25.49 25.50 25.51 25.52 25.53 25.54 25.55 25.56 25.57 25.58
#> [2413] 25.59 25.60 25.61 25.62 25.63 25.64 25.65 25.66 25.67 25.68 25.69 25.70
#> [2425] 25.71 25.72 25.73 25.74 25.75 25.76 25.77 25.78 25.79 25.80 25.81 25.82
#> [2437] 25.83 25.84 25.85 25.86 25.87 25.88 25.89 25.90 25.91 25.92 25.93 25.94
#> [2449] 25.95 25.96 25.97 25.98 25.99 26.00 26.01 26.02 26.03 26.04 26.05 26.06
#> [2461] 26.07 26.08 26.09 26.10 26.11 26.12 26.13 26.14 26.15 26.16 26.17 26.18
#> [2473] 26.19 26.20 26.21 26.22 26.23 26.24 26.25 26.26 26.27 26.28 26.29 26.30
#> [2485] 26.31 26.32 26.33 26.34 26.35 26.36 26.37 26.38 26.39 26.40 26.41 26.42
#> [2497] 26.43 26.44 26.45 26.46 26.47 26.48 26.49 26.50 26.51 26.52 26.53 26.54
#> [2509] 26.55 26.56 26.57 26.58 26.59 26.60 26.61 26.62 26.63 26.64 26.65 26.66
#> [2521] 26.67 26.68 26.69 26.70 26.71 26.72 26.73 26.74 26.75 26.76 26.77 26.78
#> [2533] 26.79 26.80 26.81 26.82 26.83 26.84 26.85 26.86 26.87 26.88 26.89 26.90
#> [2545] 26.91 26.92 26.93 26.94 26.95 26.96 26.97 26.98 26.99 27.00 27.01 27.02
#> [2557] 27.03 27.04 27.05 27.06 27.07 27.08 27.09 27.10 27.11 27.12 27.13 27.14
#> [2569] 27.15 27.16 27.17 27.18 27.19 27.20 27.21 27.22 27.23 27.24 27.25 27.26
#> [2581] 27.27 27.28 27.29 27.30 27.31 27.32 27.33 27.34 27.35 27.36 27.37 27.38
#> [2593] 27.39 27.40 27.41 27.42 27.43 27.44 27.45 27.46 27.47 27.48 27.49 27.50
#> [2605] 27.51 27.52 27.53 27.54 27.55 27.56 27.57 27.58 27.59 27.60 27.61 27.62
#> [2617] 27.63 27.64 27.65 27.66 27.67 27.68 27.69 27.70 27.71 27.72 27.73 27.74
#> [2629] 27.75 27.76 27.77 27.78 27.79 27.80 27.81 27.82 27.83 27.84 27.85 27.86
#> [2641] 27.87 27.88 27.89 27.90 27.91 27.92 27.93 27.94 27.95 27.96 27.97 27.98
#> [2653] 27.99 28.00 28.01 28.02 28.03 28.04 28.05 28.06 28.07 28.08 28.09 28.10
#> [2665] 28.11 28.12 28.13 28.14 28.15 28.16 28.17 28.18 28.19 28.20 28.21 28.22
#> [2677] 28.23 28.24 28.25 28.26 28.27 28.28 28.29 28.30 28.31 28.32 28.33 28.34
#> [2689] 28.35 28.36 28.37 28.38 28.39 28.40 28.41 28.42 28.43 28.44 28.45 28.46
#> [2701] 28.47 28.48 28.49 28.50 28.51 28.52 28.53 28.54 28.55 28.56 28.57 28.58
#> [2713] 28.59 28.60 28.61 28.62 28.63 28.64 28.65 28.66 28.67 28.68 28.69 28.70
#> [2725] 28.71 28.72 28.73 28.74 28.75 28.76 28.77 28.78 28.79 28.80 28.81 28.82
#> [2737] 28.83 28.84 28.85 28.86 28.87 28.88 28.89 28.90 28.91 28.92 28.93 28.94
#> [2749] 28.95 28.96 28.97 28.98 28.99 29.00 29.01 29.02 29.03 29.04 29.05 29.06
#> [2761] 29.07 29.08 29.09 29.10 29.11 29.12 29.13 29.14 29.15 29.16 29.17 29.18
#> [2773] 29.19 29.20 29.21 29.22 29.23 29.24 29.25 29.26 29.27 29.28 29.29 29.30
#> [2785] 29.31 29.32 29.33 29.34 29.35 29.36 29.37 29.38 29.39 29.40 29.41 29.42
#> [2797] 29.43 29.44 29.45 29.46 29.47 29.48 29.49 29.50 29.51 29.52 29.53 29.54
#> [2809] 29.55 29.56 29.57 29.58 29.59 29.60 29.61 29.62 29.63 29.64 29.65 29.66
#> [2821] 29.67 29.68 29.69 29.70 29.71 29.72 29.73 29.74 29.75 29.76 29.77 29.78
#> [2833] 29.79 29.80 29.81 29.82 29.83 29.84 29.85 29.86 29.87 29.88 29.89 29.90
#> [2845] 29.91 29.92 29.93 29.94 29.95 29.96 29.97 29.98 29.99 30.00 30.01 30.02
#> [2857] 30.03 30.04 30.05 30.06 30.07 30.08 30.09 30.10 30.11 30.12 30.13 30.14
#> [2869] 30.15 30.16 30.17 30.18 30.19 30.20 30.21 30.22 30.23 30.24 30.25 30.26
#> [2881] 30.27 30.28 30.29 30.30 30.31 30.32 30.33 30.34 30.35 30.36 30.37 30.38
#> [2893] 30.39 30.40 30.41 30.42 30.43 30.44 30.45 30.46 30.47 30.48 30.49 30.50
#> [2905] 30.51 30.52 30.53 30.54 30.55 30.56 30.57 30.58 30.59 30.60 30.61 30.62
#> [2917] 30.63 30.64 30.65 30.66 30.67 30.68 30.69 30.70 30.71 30.72 30.73 30.74
#> [2929] 30.75 30.76 30.77 30.78 30.79 30.80 30.81 30.82 30.83 30.84 30.85 30.86
#> [2941] 30.87 30.88 30.89 30.90 30.91 30.92 30.93 30.94 30.95 30.96 30.97 30.98
#> [2953] 30.99 31.00 31.01 31.02 31.03 31.04 31.05 31.06 31.07 31.08 31.09 31.10
#> [2965] 31.11 31.12 31.13 31.14 31.15 31.16 31.17 31.18 31.19 31.20 31.21 31.22
#> [2977] 31.23 31.24 31.25 31.26 31.27 31.28 31.29 31.30 31.31 31.32 31.33 31.34
#> [2989] 31.35 31.36 31.37 31.38 31.39 31.40 31.41 31.42 31.43 31.44 31.45 31.46
#> [3001] 31.47 31.48 31.49 31.50 31.51 31.52 31.53 31.54 31.55 31.56 31.57 31.58
#> [3013] 31.59 31.60 31.61 31.62 31.63 31.64 31.65 31.66 31.67 31.68 31.69 31.70
#> [3025] 31.71 31.72 31.73 31.74 31.75 31.76 31.77 31.78 31.79 31.80 31.81 31.82
#> [3037] 31.83 31.84 31.85 31.86 31.87 31.88 31.89 31.90 31.91 31.92 31.93 31.94
#> [3049] 31.95 31.96 31.97 31.98 31.99 32.00 32.01 32.02 32.03 32.04 32.05 32.06
#> [3061] 32.07 32.08 32.09 32.10 32.11 32.12 32.13 32.14 32.15 32.16 32.17 32.18
#> [3073] 32.19 32.20 32.21 32.22 32.23 32.24 32.25 32.26 32.27 32.28 32.29 32.30
#> [3085] 32.31 32.32 32.33 32.34 32.35 32.36 32.37 32.38 32.39 32.40 32.41 32.42
#> [3097] 32.43 32.44 32.45 32.46 32.47 32.48 32.49 32.50 32.51 32.52 32.53 32.54
#> [3109] 32.55 32.56 32.57 32.58 32.59 32.60 32.61 32.62 32.63 32.64 32.65 32.66
#> [3121] 32.67 32.68 32.69 32.70 32.71 32.72 32.73 32.74 32.75 32.76 32.77 32.78
#> [3133] 32.79 32.80 32.81 32.82 32.83 32.84 32.85 32.86 32.87 32.88 32.89 32.90
#> [3145] 32.91 32.92 32.93 32.94 32.95 32.96 32.97 32.98 32.99 33.00 33.01 33.02
#> [3157] 33.03 33.04 33.05 33.06 33.07 33.08 33.09 33.10 33.11 33.12 33.13 33.14
#> [3169] 33.15 33.16 33.17 33.18 33.19 33.20 33.21 33.22 33.23 33.24 33.25 33.26
#> [3181] 33.27 33.28 33.29 33.30 33.31 33.32 33.33 33.34 33.35 33.36 33.37 33.38
#> [3193] 33.39 33.40 33.41 33.42 33.43 33.44 33.45 33.46 33.47 33.48 33.49 33.50
#> [3205] 33.51 33.52 33.53 33.54 33.55 33.56 33.57 33.58 33.59 33.60 33.61 33.62
#> [3217] 33.63 33.64 33.65 33.66 33.67 33.68 33.69 33.70 33.71 33.72 33.73 33.74
#> [3229] 33.75 33.76 33.77 33.78 33.79 33.80 33.81 33.82 33.83 33.84 33.85 33.86
#> [3241] 33.87 33.88 33.89 33.90 33.91 33.92 33.93 33.94 33.95 33.96 33.97 33.98
#> [3253] 33.99 34.00 34.01 34.02 34.03 34.04 34.05 34.06 34.07 34.08 34.09 34.10
#> [3265] 34.11 34.12 34.13 34.14 34.15 34.16 34.17 34.18 34.19 34.20 34.21 34.22
#> [3277] 34.23 34.24 34.25 34.26 34.27 34.28 34.29 34.30 34.31 34.32 34.33 34.34
#> [3289] 34.35 34.36 34.37 34.38 34.39 34.40 34.41 34.42 34.43 34.44 34.45 34.46
#> [3301] 34.47 34.48 34.49 34.50 34.51 34.52 34.53 34.54 34.55 34.56 34.57 34.58
#> [3313] 34.59 34.60 34.61 34.62 34.63 34.64 34.65 34.66 34.67 34.68 34.69 34.70
#> [3325] 34.71 34.72 34.73 34.74 34.75 34.76 34.77 34.78 34.79 34.80 34.81 34.82
#> [3337] 34.83 34.84 34.85 34.86 34.87 34.88 34.89 34.90 34.91 34.92 34.93 34.94
#> [3349] 34.95 34.96 34.97 34.98 34.99 35.00 35.01 35.02 35.03 35.04 35.05 35.06
#> [3361] 35.07 35.08 35.09 35.10 35.11 35.12 35.13 35.14 35.15 35.16 35.17 35.18
#> [3373] 35.19 35.20 35.21 35.22 35.23 35.24 35.25 35.26 35.27 35.28 35.29 35.30
#> [3385] 35.31 35.32 35.33 35.34 35.35 35.36 35.37 35.38 35.39 35.40 35.41 35.42
#> [3397] 35.43 35.44 35.45 35.46 35.47 35.48 35.49 35.50 35.51 35.52 35.53 35.54
#> [3409] 35.55 35.56 35.57 35.58 35.59 35.60 35.61 35.62 35.63 35.64 35.65 35.66
#> [3421] 35.67 35.68 35.69 35.70 35.71 35.72 35.73 35.74 35.75 35.76 35.77 35.78
#> [3433] 35.79 35.80 35.81 35.82 35.83 35.84 35.85 35.86 35.87 35.88 35.89 35.90
#> [3445] 35.91 35.92 35.93 35.94 35.95 35.96 35.97 35.98 35.99 36.00 36.01 36.02
#> [3457] 36.03 36.04 36.05 36.06 36.07 36.08 36.09 36.10 36.11 36.12 36.13 36.14
#> [3469] 36.15 36.16 36.17 36.18 36.19 36.20 36.21 36.22 36.23 36.24 36.25 36.26
#> [3481] 36.27 36.28 36.29 36.30 36.31 36.32 36.33 36.34 36.35 36.36 36.37 36.38
#> [3493] 36.39 36.40 36.41 36.42 36.43 36.44 36.45 36.46 36.47 36.48 36.49 36.50
#> [3505] 36.51 36.52 36.53 36.54 36.55 36.56 36.57 36.58 36.59 36.60 36.61 36.62
#> [3517] 36.63 36.64 36.65 36.66 36.67 36.68 36.69 36.70 36.71 36.72 36.73 36.74
#> [3529] 36.75 36.76 36.77 36.78 36.79 36.80 36.81 36.82 36.83 36.84 36.85 36.86
#> [3541] 36.87 36.88 36.89 36.90 36.91 36.92 36.93 36.94 36.95 36.96 36.97 36.98
#> [3553] 36.99 37.00 37.01 37.02 37.03 37.04 37.05 37.06 37.07 37.08 37.09 37.10
#> [3565] 37.11 37.12 37.13 37.14 37.15 37.16 37.17 37.18 37.19 37.20 37.21 37.22
#> [3577] 37.23 37.24 37.25 37.26 37.27 37.28 37.29 37.30 37.31 37.32 37.33 37.34
#> [3589] 37.35 37.36 37.37 37.38 37.39 37.40 37.41 37.42 37.43 37.44 37.45 37.46
#> [3601] 37.47 37.48 37.49 37.50 37.51 37.52 37.53 37.54 37.55 37.56 37.57 37.58
#> [3613] 37.59 37.60 37.61 37.62 37.63 37.64 37.65 37.66 37.67 37.68 37.69 37.70
#> [3625] 37.71 37.72 37.73 37.74 37.75 37.76 37.77 37.78 37.79 37.80 37.81 37.82
#> [3637] 37.83 37.84 37.85 37.86 37.87 37.88 37.89 37.90 37.91 37.92 37.93 37.94
#> [3649] 37.95 37.96 37.97 37.98 37.99 38.00 38.01 38.02 38.03 38.04 38.05 38.06
#> [3661] 38.07 38.08 38.09 38.10 38.11 38.12 38.13 38.14 38.15 38.16 38.17 38.18
#> [3673] 38.19 38.20 38.21 38.22 38.23 38.24 38.25 38.26 38.27 38.28 38.29 38.30
#> [3685] 38.31 38.32 38.33 38.34 38.35 38.36 38.37 38.38 38.39 38.40 38.41 38.42
#> [3697] 38.43 38.44 38.45 38.46 38.47 38.48 38.49 38.50 38.51 38.52 38.53 38.54
#> [3709] 38.55 38.56 38.57 38.58 38.59 38.60 38.61 38.62 38.63 38.64 38.65 38.66
#> [3721] 38.67 38.68 38.69 38.70 38.71 38.72 38.73 38.74 38.75 38.76 38.77 38.78
#> [3733] 38.79 38.80 38.81 38.82 38.83 38.84 38.85 38.86 38.87 38.88 38.89 38.90
#> [3745] 38.91 38.92 38.93 38.94 38.95 38.96 38.97 38.98 38.99 39.00 39.01 39.02
#> [3757] 39.03 39.04 39.05 39.06 39.07 39.08 39.09 39.10 39.11 39.12 39.13 39.14
#> [3769] 39.15 39.16 39.17 39.18 39.19 39.20 39.21 39.22 39.23 39.24 39.25 39.26
#> [3781] 39.27 39.28 39.29 39.30 39.31 39.32 39.33 39.34 39.35 39.36 39.37 39.38
#> [3793] 39.39 39.40 39.41 39.42 39.43 39.44 39.45 39.46 39.47 39.48 39.49 39.50
#> [3805] 39.51 39.52 39.53 39.54 39.55 39.56 39.57 39.58 39.59 39.60 39.61 39.62
#> [3817] 39.63 39.64 39.65 39.66 39.67 39.68 39.69 39.70 39.71 39.72 39.73 39.74
#> [3829] 39.75 39.76 39.77 39.78 39.79 39.80 39.81 39.82 39.83 39.84 39.85 39.86
#> [3841] 39.87 39.88 39.89 39.90 39.91 39.92 39.93 39.94 39.95 39.96 39.97 39.98
#> [3853] 39.99 40.00 40.01 40.02 40.03 40.04 40.05 40.06 40.07 40.08 40.09 40.10
#> [3865] 40.11 40.12 40.13 40.14 40.15 40.16 40.17 40.18 40.19 40.20 40.21 40.22
#> [3877] 40.23 40.24 40.25 40.26 40.27 40.28 40.29 40.30 40.31 40.32 40.33 40.34
#> [3889] 40.35 40.36 40.37 40.38 40.39 40.40 40.41 40.42 40.43 40.44 40.45 40.46
#> [3901] 40.47 40.48 40.49 40.50 40.51 40.52 40.53 40.54 40.55 40.56 40.57 40.58
#> [3913] 40.59 40.60 40.61 40.62 40.63 40.64 40.65 40.66 40.67 40.68 40.69 40.70
#> [3925] 40.71 40.72 40.73 40.74 40.75 40.76 40.77 40.78 40.79 40.80 40.81 40.82
#> [3937] 40.83 40.84 40.85 40.86 40.87 40.88 40.89 40.90 40.91 40.92 40.93 40.94
#> [3949] 40.95 40.96 40.97 40.98 40.99 41.00 41.01 41.02 41.03 41.04 41.05 41.06
#> [3961] 41.07 41.08 41.09 41.10 41.11 41.12 41.13 41.14 41.15 41.16 41.17 41.18
#> [3973] 41.19 41.20 41.21 41.22 41.23 41.24 41.25 41.26 41.27 41.28 41.29 41.30
#> [3985] 41.31 41.32 41.33 41.34 41.35 41.36 41.37 41.38 41.39 41.40 41.41 41.42
#> [3997] 41.43 41.44 41.45 41.46 41.47 41.48 41.49 41.50 41.51 41.52 41.53 41.54
#> [4009] 41.55 41.56 41.57 41.58 41.59 41.60 41.61 41.62 41.63 41.64 41.65 41.66
#> [4021] 41.67 41.68 41.69 41.70 41.71 41.72 41.73 41.74 41.75 41.76 41.77 41.78
#> [4033] 41.79 41.80 41.81 41.82 41.83 41.84 41.85 41.86 41.87 41.88 41.89 41.90
#> [4045] 41.91 41.92 41.93 41.94 41.95 41.96 41.97 41.98 41.99 42.00 42.01 42.02
#> [4057] 42.03 42.04 42.05 42.06 42.07 42.08 42.09 42.10 42.11 42.12 42.13 42.14
#> [4069] 42.15 42.16 42.17 42.18 42.19 42.20 42.21 42.22 42.23 42.24 42.25 42.26
#> [4081] 42.27 42.28 42.29 42.30 42.31 42.32 42.33 42.34 42.35 42.36 42.37 42.38
#> [4093] 42.39 42.40 42.41 42.42 42.43 42.44 42.45 42.46 42.47 42.48 42.49 42.50
#> [4105] 42.51 42.52 42.53 42.54 42.55 42.56 42.57 42.58 42.59 42.60 42.61 42.62
#> [4117] 42.63 42.64 42.65 42.66 42.67 42.68 42.69 42.70 42.71 42.72 42.73 42.74
#> [4129] 42.75 42.76 42.77 42.78 42.79 42.80 42.81 42.82 42.83 42.84 42.85 42.86
#> [4141] 42.87 42.88 42.89 42.90 42.91 42.92 42.93 42.94 42.95 42.96 42.97 42.98
#> [4153] 42.99 43.00 43.01 43.02 43.03 43.04 43.05 43.06 43.07 43.08 43.09 43.10
#> [4165] 43.11 43.12 43.13 43.14 43.15 43.16 43.17 43.18 43.19 43.20 43.21 43.22
#> [4177] 43.23 43.24 43.25 43.26 43.27 43.28 43.29 43.30 43.31 43.32 43.33 43.34
#> [4189] 43.35 43.36 43.37 43.38 43.39 43.40 43.41 43.42 43.43 43.44 43.45 43.46
#> [4201] 43.47 43.48 43.49 43.50 43.51 43.52 43.53 43.54 43.55 43.56 43.57 43.58
#> [4213] 43.59 43.60 43.61 43.62 43.63 43.64 43.65 43.66 43.67 43.68
#>
#> $Con_Prob
#> [1] NA 0.008141691 0.008301763 0.008461835 0.008621906 0.008781978
#> [7] 0.008942049 0.009102121 0.009262193 0.009422264 0.009582336 0.009742408
#> [13] 0.009902479 0.010062551 0.010222622 0.010382694 0.010542766 0.010702837
#> [19] 0.010862909 0.011022981 0.011183052 0.011343124 0.011503195 0.011663267
#> [25] 0.011823339 0.011983410 0.012143482 0.012303554 0.012463625 0.012623697
#> [31] 0.012783768 0.012943840 0.013103912 0.013263983 0.013424055 0.013584127
#> [37] 0.013744198 0.013904270 0.014083380 0.014290816 0.014498251 0.014705687
#> [43] 0.014913123 0.015215728 0.015586912 0.015958097 0.016329281 0.016700465
#> [49] 0.017071650 0.017442834 0.017814019 0.018185203 0.018556387 0.018927572
#> [55] 0.019298756 0.019669941 0.020041125 0.020412309 0.020783494 0.021170812
#> [61] 0.021580715 0.021990617 0.026792553 0.030931888 0.034335051 0.036598620
#> [67] 0.037468151 0.038180138 0.038892124 0.039604111 0.040316097 0.041028084
#> [73] 0.041740070 0.042452057 0.043190045 0.044038862 0.046192648 0.048346433
#> [79] 0.050500219 0.060458249 0.063609955 0.066749941 0.069867067 0.072968741
#> [85] 0.073968694 0.074947359 0.075926024 0.076904689 0.077883354 0.078862019
#> [91] 0.079840684 0.090935274 0.096163961 0.098861322 0.101558683 0.113284494
#> [97] 0.124238952 0.126312922 0.128328589 0.130344257 0.132811264 0.135761866
#> [103] 0.138528229 0.140096167 0.141493727 0.142891288 0.144288849 0.145694981
#> [109] 0.153023396 0.155796705 0.158371479 0.161969986 0.168909465 0.171477214
#> [115] 0.174044962 0.179653698 0.186406121 0.190759996 0.192969923 0.195179851
#> [121] 0.197916894 0.203800189 0.214732965 0.225380325 0.228163108 0.230247987
#> [127] 0.232332866 0.234442934 0.236590252 0.238737570 0.240973293 0.248762023
#> [133] 0.255337833 0.270985948 0.272342407 0.273697892 0.275053377 0.276408862
#> [139] 0.277727577 0.278989623 0.280244113 0.281498603 0.282753092 0.284010588
#> [145] 0.289020826 0.293770064 0.296413264 0.299051052 0.301391535 0.303699514
#> [151] 0.306013148 0.319402007 0.323814639 0.327298075 0.331614656 0.336518153
#> [157] 0.342598842 0.363448724 0.379616935 0.382424586 0.385078557 0.388409687
#> [163] 0.393126483 0.412135376 0.422783468 0.433314386 0.441055914 0.454141834
#> [169] 0.459936131 0.472579028 0.507422732 0.520032764 0.524053482 0.541944904
#> [175] 0.555754830 0.561614153 0.564664859 0.567493323 0.569607770 0.570708467
#> [181] 0.571722862 0.572737257 0.573751652 0.574766047 0.575780442 0.577445555
#> [187] 0.582788331 0.586885587 0.590639979 0.594145966 0.597604618 0.602617035
#> [193] 0.613020449 0.614429686 0.615713044 0.616996402 0.618279760 0.619563119
#> [199] 0.621568344 0.625119431 0.630157122 0.639825083 0.645419094 0.649338073
#> [205] 0.651287891 0.652992473 0.654697055 0.656424619 0.663588698 0.666444777
#> [211] 0.668813817 0.671223986 0.674859476 0.678698022 0.681301814 0.683816193
#> [217] 0.687042205 0.698780859 0.702128517 0.703797241 0.705465965 0.707134688
#> [223] 0.716307315 0.719062685 0.721818056 0.724186708 0.726394430 0.728602153
#> [229] 0.731277441 0.734654371 0.745023775 0.751603413 0.756012741 0.761309338
#> [235] 0.766886175 0.768339005 0.769752228 0.771165452 0.772578675 0.774374821
#> [241] 0.777797750 0.781567284 0.789020204 0.791732847 0.794445489 0.803428320
#> [247] 0.807331211 0.817557988 0.819936455 0.822095334 0.824253999 0.826405779
#> [253] 0.828554764 0.830703749 0.835204251 0.839978123 0.841056075 0.842126006
#> [259] 0.843195936 0.844265866 0.845335797 0.846509167 0.849370539 0.853106935
#> [265] 0.862353650 0.863747799 0.865141948 0.866536096 0.867930245 0.868884950
#> [271] 0.869535106 0.870145611 0.870756115 0.871366620 0.871977125 0.872587630
#> [277] 0.873198135 0.873808639 0.874419144 0.875031202 0.875673688 0.876695914
#> [283] 0.878110058 0.879524202 0.880938346 0.882352489 0.883875585 0.885549848
#> [289] 0.887229046 0.888908245 0.890618520 0.892467669 0.894339135 0.896210601
#> [295] 0.898062773 0.899801413 0.901540052 0.903278692 0.905003035 0.905307465
#> [301] 0.905611896 0.905916327 0.906200430 0.906476828 0.906753225 0.907029623
#> [307] 0.907306021 0.907582419 0.907858817 0.908135215 0.908411612 0.908688010
#> [313] 0.908964408 0.909240806 0.909517204 0.909793602 0.910070000 0.910346397
#> [319] 0.910622795 0.910899193 0.911175591 0.911451989 0.911728387 0.912003905
#> [325] 0.912229476 0.912455048 0.912680620 0.912906192 0.913116902 0.913317031
#> [331] 0.913517160 0.913717289 0.913917418 0.914117547 0.914317676 0.914517804
#> [337] 0.914717933 0.914918062 0.915118191 0.915318320 0.915518449 0.915718578
#> [343] 0.915918707 0.916118836 0.916318965 0.916519094 0.916719223 0.916919352
#> [349] 0.917119481 0.917319610 0.917519739 0.917719868 0.917919997 0.918120126
#> [355] 0.918320255 0.918520384 0.918720513 0.918920642 0.919117920 0.919313324
#> [361] 0.919508729 0.919704133 0.919899538 0.920089801 0.920274625 0.920459448
#> [367] 0.920644272 0.920829095 0.921013919 0.921198742 0.921383566 0.921568389
#> [373] 0.921753213 0.921938036 0.922122860 0.922307683 0.922492507 0.922677331
#> [379] 0.922862154 0.923046978 0.923231801 0.923416625 0.923601448 0.923786272
#> [385] 0.923971095 0.924155919 0.924340742 0.924525566 0.924710389 0.924895213
#> [391] 0.925080036 0.925264860 0.925449684 0.925634507 0.925819331 0.926004154
#> [397] 0.926188978 0.926373801 0.926558625 0.926743448 0.926928272 0.927421738
#> [403] 0.928113227 0.928816557 0.929519887 0.930223216 0.930926546 0.931629876
#> [409] 0.932333206 0.933036536 0.933739865 0.934383074 0.934990994 0.935565027
#> [415] 0.936138550 0.936712074 0.937285597 0.937859121 0.938432644 0.939006168
#> [421] 0.939579692 0.940153215 0.940726739 0.941105710 0.941307625 0.941509540
#> [427] 0.941711454 0.941913369 0.942057760 0.942158924 0.942260089 0.942361253
#> [433] 0.942462417 0.942563582 0.942664746 0.942765910 0.942867074 0.942968239
#> [439] 0.943069403 0.943170567 0.943271732 0.943372896 0.943474060 0.943575225
#> [445] 0.943676389 0.943777553 0.943878718 0.943979882 0.944081046 0.944182211
#> [451] 0.944283375 0.944384539 0.944485704 0.944586868 0.944688032 0.944789196
#> [457] 0.944890361 0.944991525 0.945092689 0.945193854 0.945295018 0.945396182
#> [463] 0.945497347 0.945598511 0.945699675 0.945800840 0.945902004 0.946003168
#> [469] 0.946104333 0.946205497 0.946306661 0.946407826 0.946508990 0.946610154
#> [475] 0.946711318 0.946812483 0.946913647 0.947014811 0.947115976 0.947217140
#> [481] 0.947318304 0.947419469 0.947520633 0.947621797 0.947722962 0.947824126
#> [487] 0.947925290 0.948028374 0.948136876 0.948245379 0.948353882 0.948462384
#> [493] 0.948570887 0.948679390 0.948787893 0.948896395 0.949015898 0.949368081
#> [499] 0.949720264 0.950072448 0.950424631 0.950776814 0.951128997 0.951481180
#> [505] 0.951833363 0.952185547 0.952537730 0.952889913 0.953242096 0.953594279
#> [511] 0.953946463 0.954298646 0.954650829 0.955003012 0.955355195 0.955707379
#> [517] 0.956061541 0.956425430 0.956789318 0.957154526 0.957521548 0.957888570
#> [523] 0.958255591 0.958622613 0.958989635 0.959356657 0.959723679 0.960090701
#> [529] 0.960457723 0.960824745 0.961191767 0.961558789 0.961925810 0.962292832
#> [535] 0.962659854 0.963016648 0.963243987 0.963471326 0.963698666 0.963926005
#> [541] 0.964110624 0.964274628 0.964438632 0.964602636 0.964766640 0.964930644
#> [547] 0.965094648 0.965258652 0.965422657 0.965586661 0.965750665 0.965914669
#> [553] 0.966078673 0.966242677 0.966406681 0.966570685 0.966734690 0.966898694
#> [559] 0.967062698 0.967226702 0.967390706 0.967554710 0.967718714 0.967882718
#> [565] 0.968046722 0.968210727 0.968374731 0.968538735 0.968702739 0.968866743
#> [571] 0.969030747 0.969194751 0.969358755 0.969522760 0.969686764 0.969850768
#> [577] 0.970009246 0.970111898 0.970214550 0.970317201 0.970419853 0.970522505
#> [583] 0.970625157 0.970727809 0.970830461 0.970933113 0.971014169 0.971054839
#> [589] 0.971095508 0.971136177 0.971176846 0.971217515 0.971258184 0.971298854
#> [595] 0.971339523 0.971380192 0.971420861 0.971461530 0.971502199 0.971542869
#> [601] 0.971583538 0.971624207 0.971664876 0.971705545 0.971746215 0.971786884
#> [607] 0.971827553 0.971868222 0.971908891 0.971949560 0.971990230 0.972030899
#> [613] 0.972071568 0.972112237 0.972152906 0.972193575 0.972234245 0.972274914
#> [619] 0.972315583 0.972356252 0.972396921 0.972437591 0.972478260 0.972518929
#> [625] 0.972559598 0.972600267 0.972640936 0.972681606 0.972722275 0.972762944
#> [631] 0.972803613 0.972844282 0.972884952 0.972925621 0.972966290 0.973006959
#> [637] 0.973047628 0.973088297 0.973128967 0.973169636 0.973210305 0.973250974
#> [643] 0.973291643 0.973332312 0.973372982 0.973413651 0.973454320 0.973494989
#> [649] 0.973535658 0.973576328 0.973616997 0.973657666 0.973698335 0.973739004
#> [655] 0.973779673 0.973820343 0.973861012 0.973901681 0.973942350 0.973983019
#> [661] 0.974023689 0.974064358 0.974105027 0.974145696 0.974186365 0.974227034
#> [667] 0.974267704 0.974308373 0.974349042 0.974389711 0.974430380 0.974471049
#> [673] 0.974511719 0.974552388 0.974593057 0.974633726 0.974674395 0.974715065
#> [679] 0.974755734 0.974796403 0.974837072 0.974877741 0.974918410 0.974959080
#> [685] 0.974999749 0.975040418 0.975081087 0.975121756 0.975162426 0.975203095
#> [691] 0.975243764 0.975284433 0.975325102 0.975365771 0.975406441 0.975447110
#> [697] 0.975487779 0.975528448 0.975569117 0.975609786 0.975650456 0.975691125
#> [703] 0.975731794 0.975772463 0.975813132 0.975853802 0.975894471 0.975935140
#> [709] 0.975975809 0.976016478 0.976057147 0.976097817 0.976138486 0.976179155
#> [715] 0.976219824 0.976260493 0.976301162 0.976341832 0.976382501 0.976423170
#> [721] 0.976463839 0.976504508 0.976545178 0.976585847 0.976626516 0.976667185
#> [727] 0.976707854 0.976748523 0.976789193 0.976829862 0.976870531 0.976911200
#> [733] 0.976951869 0.976992539 0.977033208 0.977073877 0.977114546 0.977155215
#> [739] 0.977195884 0.977236554 0.977277223 0.977317892 0.977358561 0.977399230
#> [745] 0.977439899 0.977480569 0.977521238 0.977561907 0.977602576 0.977643245
#> [751] 0.977683915 0.977724584 0.977765253 0.977805922 0.977846591 0.977887260
#> [757] 0.977927930 0.977968599 0.978011831 0.978063750 0.978115668 0.978167586
#> [763] 0.978219504 0.978271422 0.978323340 0.978375259 0.978427177 0.978479095
#> [769] 0.978531013 0.978582931 0.978634849 0.978686768 0.978738686 0.978790604
#> [775] 0.978842522 0.978894440 0.978946358 0.978998277 0.979051826 0.979105432
#> [781] 0.979159038 0.979212644 0.979266250 0.979319855 0.979373461 0.979427067
#> [787] 0.979480673 0.979534279 0.979587884 0.979641490 0.979695096 0.979748702
#> [793] 0.979802308 0.979855913 0.979909519 0.979963125 0.980016731 0.980070337
#> [799] 0.980123943 0.980177548 0.980231154 0.980284760 0.980338366 0.980391972
#> [805] 0.980445577 0.980499183 0.980552789 0.980606395 0.980660001 0.980713606
#> [811] 0.980767212 0.980820818 0.980874424 0.980928030 0.980981635 0.981035241
#> [817] 0.981088847 0.981142453 0.981196059 0.981249665 0.981303270 0.981356876
#> [823] 0.981410482 0.981464088 0.981517694 0.981571299 0.981624905 0.981678511
#> [829] 0.981732117 0.981785723 0.981839328 0.981892934 0.981946540 0.982000146
#> [835] 0.982053752 0.982107358 0.982160963 0.982214569 0.982268175 0.982321781
#> [841] 0.982375387 0.982428992 0.982482598 0.982536204 0.982589810 0.982643416
#> [847] 0.982697021 0.982750627 0.982804233 0.982857839 0.982911445 0.982965051
#> [853] 0.983018656 0.983072262 0.983125868 0.983179474 0.983233080 0.983286685
#> [859] 0.983340291 0.983393897 0.983447503 0.983501109 0.983554714 0.983608320
#> [865] 0.983661926 0.983715532 0.983769138 0.983822743 0.983876349 0.983929955
#> [871] 0.983983561 0.984037167 0.984090773 0.984144378 0.984197984 0.984251590
#> [877] 0.984305196 0.984358802 0.984412407 0.984466013 0.984519619 0.984573225
#> [883] 0.984626831 0.984680436 0.984734042 0.984787648 0.984841254 0.984894860
#> [889] 0.984948466 0.985000449 0.985012079 0.985023708 0.985035337 0.985046966
#> [895] 0.985058595 0.985070224 0.985081853 0.985093483 0.985105112 0.985116741
#> [901] 0.985128370 0.985139999 0.985151628 0.985163257 0.985174887 0.985186516
#> [907] 0.985198145 0.985209774 0.985221403 0.985233032 0.985244662 0.985256291
#> [913] 0.985267920 0.985279549 0.985291178 0.985302807 0.985314436 0.985326066
#> [919] 0.985337695 0.985349324 0.985360953 0.985372582 0.985384211 0.985395840
#> [925] 0.985407470 0.985419099 0.985430728 0.985442357 0.985453986 0.985465615
#> [931] 0.985477245 0.985488874 0.985500503 0.985512132 0.985523761 0.985535390
#> [937] 0.985547019 0.985558649 0.985570278 0.985581907 0.985593536 0.985605165
#> [943] 0.985616794 0.985628424 0.985640053 0.985651682 0.985663311 0.985674940
#> [949] 0.985686569 0.985698198 0.985709828 0.985721457 0.985733086 0.985744715
#> [955] 0.985756344 0.985767973 0.985779602 0.985791232 0.985802861 0.985814490
#> [961] 0.985826119 0.985837748 0.985849377 0.985861007 0.985872636 0.985884265
#> [967] 0.985895894 0.985907523 0.985919152 0.985930781 0.985942411 0.985954040
#> [973] 0.985965669 0.985977298 0.985988927 0.986000365 0.986007989 0.986015614
#> [979] 0.986023238 0.986030863 0.986038488 0.986046112 0.986053737 0.986061361
#> [985] 0.986068986 0.986076610 0.986084235 0.986091859 0.986099484 0.986107108
#> [991] 0.986114733 0.986122358 0.986129982 0.986137607 0.986145231 0.986152856
#> [997] 0.986160480 0.986168105 0.986175729 0.986183354 0.986190979 0.986198603
#> [1003] 0.986206228 0.986213852 0.986221477 0.986229101 0.986236726 0.986244350
#> [1009] 0.986251975 0.986259600 0.986267224 0.986274849 0.986282473 0.986290098
#> [1015] 0.986297722 0.986305347 0.986312971 0.986320596 0.986328220 0.986335845
#> [1021] 0.986343470 0.986351094 0.986358719 0.986366343 0.986373968 0.986381592
#> [1027] 0.986389217 0.986396841 0.986404466 0.986412091 0.986419715 0.986427340
#> [1033] 0.986434964 0.986442589 0.986450213 0.986457838 0.986465462 0.986473087
#> [1039] 0.986480712 0.986488336 0.986495961 0.986503585 0.986511210 0.986518834
#> [1045] 0.986526459 0.986534083 0.986541708 0.986549332 0.986556957 0.986564582
#> [1051] 0.986572206 0.986579831 0.986587455 0.986595080 0.986602704 0.986610329
#> [1057] 0.986617953 0.986625578 0.986633203 0.986640827 0.986648452 0.986656076
#> [1063] 0.986663701 0.986671325 0.986678950 0.986686574 0.986694199 0.986701823
#> [1069] 0.986709448 0.986717073 0.986724697 0.986732322 0.986739946 0.986747571
#> [1075] 0.986755195 0.986762820 0.986770444 0.986778069 0.986785694 0.986793318
#> [1081] 0.986800943 0.986808567 0.986816192 0.986823816 0.986831441 0.986839065
#> [1087] 0.986846690 0.986854315 0.986861939 0.986869564 0.986877188 0.986884813
#> [1093] 0.986892437 0.986900062 0.986907686 0.986915311 0.986922935 0.986930560
#> [1099] 0.986938185 0.986945809 0.986953434 0.986961058 0.986968683 0.986976307
#> [1105] 0.986983932 0.986991556 0.986999181 0.987006806 0.987014430 0.987022055
#> [1111] 0.987029679 0.987037304 0.987044928 0.987052553 0.987060177 0.987067802
#> [1117] 0.987075427 0.987083051 0.987090676 0.987098300 0.987105925 0.987113549
#> [1123] 0.987121174 0.987128798 0.987136423 0.987144047 0.987151672 0.987159297
#> [1129] 0.987166921 0.987174546 0.987182170 0.987189795 0.987197419 0.987205044
#> [1135] 0.987212668 0.987220293 0.987227918 0.987235542 0.987243167 0.987250791
#> [1141] 0.987258416 0.987266040 0.987273665 0.987281289 0.987288914 0.987296539
#> [1147] 0.987304163 0.987311788 0.987319412 0.987327037 0.987334661 0.987342286
#> [1153] 0.987349910 0.987357535 0.987365159 0.987372784 0.987380409 0.987388033
#> [1159] 0.987395658 0.987403282 0.987410907 0.987418531 0.987426156 0.987433780
#> [1165] 0.987441405 0.987449030 0.987456654 0.987464279 0.987471903 0.987479528
#> [1171] 0.987487152 0.987494777 0.987502401 0.987510026 0.987517650 0.987525275
#> [1177] 0.987532900 0.987540524 0.987548149 0.987555773 0.987563398 0.987571022
#> [1183] 0.987578647 0.987586271 0.987593896 0.987601521 0.987609145 0.987616770
#> [1189] 0.987624394 0.987632019 0.987639643 0.987647268 0.987654892 0.987662517
#> [1195] 0.987670142 0.987677766 0.987685391 0.987693015 0.987700640 0.987708264
#> [1201] 0.987715889 0.987723513 0.987731138 0.987738762 0.987746387 0.987754012
#> [1207] 0.987761636 0.987769261 0.987776885 0.987784510 0.987792134 0.987799759
#> [1213] 0.987807383 0.987815008 0.987822633 0.987830257 0.987837882 0.987845506
#> [1219] 0.987853131 0.987860755 0.987868380 0.987876004 0.987883629 0.987891254
#> [1225] 0.987898878 0.987906503 0.987914127 0.987921752 0.987929376 0.987937001
#> [1231] 0.987944625 0.987952250 0.987959874 0.987967499 0.987975124 0.987982748
#> [1237] 0.987990373 0.987997997 0.988005622 0.988013246 0.988020871 0.988028495
#> [1243] 0.988036120 0.988043745 0.988051369 0.988058994 0.988066618 0.988074243
#> [1249] 0.988081867 0.988089492 0.988097116 0.988104741 0.988112365 0.988119990
#> [1255] 0.988127615 0.988135239 0.988142864 0.988150488 0.988158113 0.988165737
#> [1261] 0.988173362 0.988180986 0.988188611 0.988196236 0.988203860 0.988211485
#> [1267] 0.988219109 0.988226734 0.988234358 0.988241983 0.988249607 0.988257232
#> [1273] 0.988264857 0.988272481 0.988280106 0.988287730 0.988295355 0.988302979
#> [1279] 0.988310604 0.988318228 0.988325853 0.988333477 0.988341102 0.988348727
#> [1285] 0.988356351 0.988363976 0.988371600 0.988379225 0.988386849 0.988394474
#> [1291] 0.988402098 0.988409723 0.988417348 0.988424972 0.988432597 0.988440221
#> [1297] 0.988447846 0.988455470 0.988463095 0.988470719 0.988478344 0.988485969
#> [1303] 0.988493593 0.988501218 0.988508842 0.988516467 0.988524091 0.988531716
#> [1309] 0.988539340 0.988546965 0.988554589 0.988562214 0.988569839 0.988577463
#> [1315] 0.988585088 0.988592712 0.988600337 0.988607961 0.988615586 0.988623210
#> [1321] 0.988630835 0.988638460 0.988646084 0.988653709 0.988661333 0.988668958
#> [1327] 0.988676582 0.988684207 0.988691831 0.988699456 0.988707081 0.988714705
#> [1333] 0.988722330 0.988729954 0.988737579 0.988745203 0.988752828 0.988760452
#> [1339] 0.988768077 0.988775701 0.988783326 0.988790951 0.988798575 0.988806200
#> [1345] 0.988813824 0.988821449 0.988829073 0.988836698 0.988844322 0.988851947
#> [1351] 0.988859572 0.988867196 0.988874821 0.988882445 0.988890070 0.988897694
#> [1357] 0.988905319 0.988912943 0.988920568 0.988928192 0.988935817 0.988943442
#> [1363] 0.988951066 0.988958691 0.988966315 0.988973940 0.988981564 0.988989189
#> [1369] 0.988996813 0.989004438 0.989012063 0.989019687 0.989027312 0.989034936
#> [1375] 0.989042561 0.989050185 0.989057810 0.989065434 0.989073059 0.989080684
#> [1381] 0.989088308 0.989095933 0.989103557 0.989111182 0.989118806 0.989126431
#> [1387] 0.989134055 0.989141680 0.989149304 0.989156929 0.989164554 0.989172178
#> [1393] 0.989179803 0.989187427 0.989195052 0.989202676 0.989210301 0.989217925
#> [1399] 0.989225550 0.989233175 0.989240799 0.989248424 0.989256048 0.989263673
#> [1405] 0.989271297 0.989278922 0.989286546 0.989294171 0.989301796 0.989309420
#> [1411] 0.989317045 0.989324669 0.989332294 0.989339918 0.989347543 0.989355167
#> [1417] 0.989362792 0.989370416 0.989378041 0.989385666 0.989393290 0.989400915
#> [1423] 0.989408539 0.989416164 0.989423788 0.989431413 0.989439037 0.989446662
#> [1429] 0.989454287 0.989461911 0.989469536 0.989477160 0.989484785 0.989492409
#> [1435] 0.989500034 0.989507658 0.989515283 0.989522907 0.989530532 0.989538157
#> [1441] 0.989545781 0.989553406 0.989561030 0.989568655 0.989576279 0.989583904
#> [1447] 0.989591528 0.989599153 0.989606778 0.989614402 0.989622027 0.989629651
#> [1453] 0.989637276 0.989644900 0.989652525 0.989660149 0.989667774 0.989675399
#> [1459] 0.989683023 0.989690648 0.989698272 0.989705897 0.989713521 0.989721146
#> [1465] 0.989728770 0.989736395 0.989744019 0.989751644 0.989759269 0.989766893
#> [1471] 0.989774518 0.989782142 0.989789767 0.989797391 0.989805016 0.989812640
#> [1477] 0.989820265 0.989827890 0.989835514 0.989843139 0.989850763 0.989858388
#> [1483] 0.989866012 0.989873637 0.989881261 0.989888886 0.989896511 0.989904135
#> [1489] 0.989911760 0.989919384 0.989927009 0.989934633 0.989942258 0.989949882
#> [1495] 0.989957507 0.989965131 0.989972756 0.989980381 0.989988005 0.989995630
#> [1501] 0.990003254 0.990010879 0.990018503 0.990026128 0.990033752 0.990041377
#> [1507] 0.990049002 0.990056626 0.990064251 0.990071875 0.990079500 0.990087124
#> [1513] 0.990094749 0.990102373 0.990109998 0.990117623 0.990125247 0.990132872
#> [1519] 0.990140496 0.990148121 0.990155745 0.990163370 0.990170994 0.990178619
#> [1525] 0.990186243 0.990193868 0.990201493 0.990209117 0.990216742 0.990224366
#> [1531] 0.990231991 0.990239615 0.990247240 0.990254864 0.990262489 0.990270114
#> [1537] 0.990277738 0.990285363 0.990292987 0.990300612 0.990308236 0.990315861
#> [1543] 0.990323485 0.990331110 0.990338734 0.990346359 0.990353984 0.990361608
#> [1549] 0.990369233 0.990376857 0.990384482 0.990392106 0.990399731 0.990407355
#> [1555] 0.990414980 0.990422605 0.990430229 0.990437854 0.990445478 0.990453103
#> [1561] 0.990460727 0.990468352 0.990475976 0.990483601 0.990491226 0.990498850
#> [1567] 0.990506475 0.990514099 0.990521724 0.990529348 0.990536973 0.990544597
#> [1573] 0.990552222 0.990559846 0.990567471 0.990575096 0.990582720 0.990590345
#> [1579] 0.990597969 0.990605594 0.990613218 0.990620843 0.990628467 0.990636092
#> [1585] 0.990643717 0.990651341 0.990658966 0.990666590 0.990674215 0.990681839
#> [1591] 0.990689464 0.990697088 0.990704713 0.990712338 0.990719962 0.990727587
#> [1597] 0.990735211 0.990742836 0.990750460 0.990758085 0.990765709 0.990773334
#> [1603] 0.990780958 0.990788583 0.990796208 0.990803832 0.990811457 0.990819081
#> [1609] 0.990826706 0.990834330 0.990841955 0.990849579 0.990857204 0.990864829
#> [1615] 0.990872453 0.990880078 0.990887702 0.990895327 0.990902951 0.990910576
#> [1621] 0.990918200 0.990925825 0.990933449 0.990941074 0.990948699 0.990956323
#> [1627] 0.990963948 0.990971572 0.990979197 0.990986821 0.990994446 0.991002070
#> [1633] 0.991009695 0.991017320 0.991024944 0.991032569 0.991040193 0.991047818
#> [1639] 0.991055442 0.991063067 0.991070691 0.991078316 0.991085941 0.991093565
#> [1645] 0.991101190 0.991108814 0.991116439 0.991124063 0.991131688 0.991139312
#> [1651] 0.991146937 0.991154561 0.991162186 0.991169811 0.991177435 0.991185060
#> [1657] 0.991192684 0.991200309 0.991207933 0.991215558 0.991223182 0.991230807
#> [1663] 0.991238432 0.991246056 0.991253681 0.991261305 0.991268930 0.991276554
#> [1669] 0.991284179 0.991291803 0.991299428 0.991307053 0.991314677 0.991322302
#> [1675] 0.991329926 0.991337551 0.991345175 0.991352800 0.991360424 0.991368049
#> [1681] 0.991375673 0.991383298 0.991390923 0.991398547 0.991406172 0.991413796
#> [1687] 0.991421421 0.991429045 0.991436670 0.991444294 0.991451919 0.991459544
#> [1693] 0.991467168 0.991474793 0.991482417 0.991490042 0.991497666 0.991505291
#> [1699] 0.991512915 0.991520540 0.991528165 0.991535789 0.991543414 0.991551038
#> [1705] 0.991558663 0.991566287 0.991573912 0.991581536 0.991589161 0.991596785
#> [1711] 0.991604410 0.991612035 0.991619659 0.991627284 0.991634908 0.991642533
#> [1717] 0.991650157 0.991657782 0.991665406 0.991673031 0.991680656 0.991688280
#> [1723] 0.991695905 0.991703529 0.991711154 0.991718778 0.991726403 0.991734027
#> [1729] 0.991741652 0.991749276 0.991756901 0.991764526 0.991772150 0.991779775
#> [1735] 0.991787399 0.991795024 0.991802648 0.991810273 0.991817897 0.991825522
#> [1741] 0.991833147 0.991840771 0.991848396 0.991856020 0.991863645 0.991871269
#> [1747] 0.991878894 0.991886518 0.991894143 0.991901768 0.991909392 0.991917017
#> [1753] 0.991924641 0.991932266 0.991939890 0.991947515 0.991955139 0.991962764
#> [1759] 0.991970388 0.991978013 0.991985638 0.991993262 0.992000615 0.992005908
#> [1765] 0.992011200 0.992016493 0.992021785 0.992027078 0.992032370 0.992037663
#> [1771] 0.992042955 0.992048247 0.992053540 0.992058832 0.992064125 0.992069417
#> [1777] 0.992074710 0.992080002 0.992085295 0.992090587 0.992095879 0.992101172
#> [1783] 0.992106464 0.992111757 0.992117049 0.992122342 0.992127634 0.992132926
#> [1789] 0.992138219 0.992143511 0.992148804 0.992154096 0.992159389 0.992164681
#> [1795] 0.992169974 0.992175266 0.992180558 0.992185851 0.992191143 0.992196436
#> [1801] 0.992201728 0.992207021 0.992212313 0.992217606 0.992222898 0.992228190
#> [1807] 0.992233483 0.992238775 0.992244068 0.992249360 0.992254653 0.992259945
#> [1813] 0.992265238 0.992270530 0.992275822 0.992281115 0.992286407 0.992291700
#> [1819] 0.992296992 0.992302285 0.992307577 0.992312869 0.992318162 0.992323454
#> [1825] 0.992328747 0.992334039 0.992339332 0.992344624 0.992349917 0.992355209
#> [1831] 0.992360501 0.992365794 0.992371086 0.992376379 0.992381671 0.992386964
#> [1837] 0.992392256 0.992397549 0.992402841 0.992408133 0.992413426 0.992418718
#> [1843] 0.992424011 0.992429303 0.992434596 0.992439888 0.992445180 0.992450473
#> [1849] 0.992455765 0.992461058 0.992466350 0.992471643 0.992476935 0.992482228
#> [1855] 0.992487520 0.992492812 0.992498105 0.992503397 0.992508690 0.992513982
#> [1861] 0.992519275 0.992524567 0.992529860 0.992535152 0.992540444 0.992545737
#> [1867] 0.992551029 0.992556322 0.992561614 0.992566907 0.992572199 0.992577492
#> [1873] 0.992582784 0.992588076 0.992593369 0.992598661 0.992603954 0.992609246
#> [1879] 0.992614539 0.992619831 0.992625123 0.992630416 0.992635708 0.992641001
#> [1885] 0.992646293 0.992651586 0.992656878 0.992662171 0.992667463 0.992672755
#> [1891] 0.992678048 0.992683340 0.992688633 0.992693925 0.992699218 0.992704510
#> [1897] 0.992709803 0.992715095 0.992720387 0.992725680 0.992730972 0.992736265
#> [1903] 0.992741557 0.992746850 0.992752142 0.992757434 0.992762727 0.992768019
#> [1909] 0.992773312 0.992778604 0.992783897 0.992789189 0.992794482 0.992799774
#> [1915] 0.992805066 0.992810359 0.992815651 0.992820944 0.992826236 0.992831529
#> [1921] 0.992836821 0.992842114 0.992847406 0.992852698 0.992857991 0.992863283
#> [1927] 0.992868576 0.992873868 0.992879161 0.992884453 0.992889746 0.992895038
#> [1933] 0.992900330 0.992905623 0.992910915 0.992916208 0.992921500 0.992926793
#> [1939] 0.992932085 0.992937377 0.992942670 0.992947962 0.992953255 0.992958547
#> [1945] 0.992963840 0.992969132 0.992974425 0.992979717 0.992985009 0.992990302
#> [1951] 0.992995594 0.993000517 0.993003601 0.993006684 0.993009768 0.993012852
#> [1957] 0.993015936 0.993019020 0.993022104 0.993025188 0.993028271 0.993031355
#> [1963] 0.993034439 0.993037523 0.993040607 0.993043691 0.993046774 0.993049858
#> [1969] 0.993052942 0.993056026 0.993059110 0.993062194 0.993065278 0.993068361
#> [1975] 0.993071445 0.993074529 0.993077613 0.993080697 0.993083781 0.993086864
#> [1981] 0.993089948 0.993093032 0.993096116 0.993099200 0.993102284 0.993105368
#> [1987] 0.993108451 0.993111535 0.993114619 0.993117703 0.993120787 0.993123871
#> [1993] 0.993126955 0.993130038 0.993133122 0.993136206 0.993139290 0.993142374
#> [1999] 0.993145458 0.993148541 0.993151625 0.993154709 0.993157793 0.993160877
#> [2005] 0.993163961 0.993167045 0.993170128 0.993173212 0.993176296 0.993179380
#> [2011] 0.993182464 0.993185548 0.993188632 0.993191715 0.993194799 0.993197883
#> [2017] 0.993200967 0.993204051 0.993207135 0.993210218 0.993213302 0.993216386
#> [2023] 0.993219470 0.993222554 0.993225638 0.993228722 0.993231805 0.993234889
#> [2029] 0.993237973 0.993241057 0.993244141 0.993247225 0.993250308 0.993253392
#> [2035] 0.993256476 0.993259560 0.993262644 0.993265728 0.993268812 0.993271895
#> [2041] 0.993274979 0.993278063 0.993281147 0.993284231 0.993287315 0.993290399
#> [2047] 0.993293482 0.993296566 0.993299650 0.993302734 0.993305818 0.993308902
#> [2053] 0.993311985 0.993315069 0.993318153 0.993321237 0.993324321 0.993327405
#> [2059] 0.993330489 0.993333572 0.993336656 0.993339740 0.993342824 0.993345908
#> [2065] 0.993348992 0.993352076 0.993355159 0.993358243 0.993361327 0.993364411
#> [2071] 0.993367495 0.993370579 0.993373662 0.993376746 0.993379830 0.993382914
#> [2077] 0.993385998 0.993389082 0.993392166 0.993395249 0.993398333 0.993401417
#> [2083] 0.993404501 0.993407585 0.993410669 0.993413753 0.993416836 0.993419920
#> [2089] 0.993423004 0.993426088 0.993429172 0.993432256 0.993435339 0.993438423
#> [2095] 0.993441507 0.993444591 0.993447675 0.993450759 0.993453843 0.993456926
#> [2101] 0.993460010 0.993463094 0.993466178 0.993469262 0.993472346 0.993475429
#> [2107] 0.993478513 0.993481597 0.993484681 0.993487765 0.993490849 0.993493933
#> [2113] 0.993497016 0.993500100 0.993503184 0.993506268 0.993509352 0.993512436
#> [2119] 0.993515520 0.993518603 0.993521687 0.993524771 0.993527855 0.993530939
#> [2125] 0.993534023 0.993537106 0.993540190 0.993543274 0.993546358 0.993549442
#> [2131] 0.993552526 0.993555610 0.993558693 0.993561777 0.993564861 0.993567945
#> [2137] 0.993571029 0.993574113 0.993577197 0.993580280 0.993583364 0.993586448
#> [2143] 0.993589532 0.993592616 0.993595700 0.993598783 0.993601867 0.993604951
#> [2149] 0.993608035 0.993611119 0.993614203 0.993617287 0.993620370 0.993623454
#> [2155] 0.993626538 0.993629622 0.993632706 0.993635790 0.993638873 0.993641957
#> [2161] 0.993645041 0.993648125 0.993651209 0.993654293 0.993657377 0.993660460
#> [2167] 0.993663544 0.993666628 0.993669712 0.993672796 0.993675880 0.993678964
#> [2173] 0.993682047 0.993685131 0.993688215 0.993691299 0.993694383 0.993697467
#> [2179] 0.993700550 0.993703634 0.993706718 0.993709802 0.993712886 0.993715970
#> [2185] 0.993719054 0.993722137 0.993725221 0.993728305 0.993731389 0.993734473
#> [2191] 0.993737557 0.993740641 0.993743724 0.993746808 0.993749892 0.993752976
#> [2197] 0.993756060 0.993759144 0.993762227 0.993765311 0.993768395 0.993771479
#> [2203] 0.993774563 0.993777647 0.993780731 0.993783814 0.993786898 0.993789982
#> [2209] 0.993793066 0.993796150 0.993799234 0.993802318 0.993805401 0.993808485
#> [2215] 0.993811569 0.993814653 0.993817737 0.993820821 0.993823904 0.993826988
#> [2221] 0.993830072 0.993833156 0.993836240 0.993839324 0.993842408 0.993845491
#> [2227] 0.993848575 0.993851659 0.993854743 0.993857827 0.993860911 0.993863994
#> [2233] 0.993867078 0.993870162 0.993873246 0.993876330 0.993879414 0.993882498
#> [2239] 0.993885581 0.993888665 0.993891749 0.993894833 0.993897917 0.993901001
#> [2245] 0.993904085 0.993907168 0.993910252 0.993913336 0.993916420 0.993919504
#> [2251] 0.993922588 0.993925671 0.993928755 0.993931839 0.993934923 0.993938007
#> [2257] 0.993941091 0.993944175 0.993947258 0.993950342 0.993953426 0.993956510
#> [2263] 0.993959594 0.993962678 0.993965762 0.993968845 0.993971929 0.993975013
#> [2269] 0.993978097 0.993981181 0.993984265 0.993987348 0.993990432 0.993993516
#> [2275] 0.993996600 0.993999684 0.994002768 0.994005852 0.994008935 0.994012019
#> [2281] 0.994015103 0.994018187 0.994021271 0.994024355 0.994027439 0.994030522
#> [2287] 0.994033606 0.994036690 0.994039774 0.994042858 0.994045942 0.994049025
#> [2293] 0.994052109 0.994055193 0.994058277 0.994061361 0.994064445 0.994067529
#> [2299] 0.994070612 0.994073696 0.994076780 0.994079864 0.994082948 0.994086032
#> [2305] 0.994089115 0.994092199 0.994095283 0.994098367 0.994101451 0.994104535
#> [2311] 0.994107619 0.994110702 0.994113786 0.994116870 0.994119954 0.994123038
#> [2317] 0.994126122 0.994129206 0.994132289 0.994135373 0.994138457 0.994141541
#> [2323] 0.994144625 0.994147709 0.994150792 0.994153876 0.994156960 0.994160044
#> [2329] 0.994163128 0.994166212 0.994169296 0.994172379 0.994175463 0.994178547
#> [2335] 0.994181631 0.994184715 0.994187799 0.994190883 0.994193966 0.994197050
#> [2341] 0.994200134 0.994203218 0.994206302 0.994209386 0.994212469 0.994215553
#> [2347] 0.994218637 0.994221721 0.994224805 0.994227889 0.994230973 0.994234056
#> [2353] 0.994237140 0.994240224 0.994243308 0.994246392 0.994249476 0.994252559
#> [2359] 0.994255643 0.994258727 0.994261811 0.994264895 0.994267979 0.994271063
#> [2365] 0.994274146 0.994277230 0.994280314 0.994283398 0.994286482 0.994289566
#> [2371] 0.994292650 0.994295733 0.994298817 0.994301901 0.994304985 0.994308069
#> [2377] 0.994311153 0.994314236 0.994317320 0.994320404 0.994323488 0.994326572
#> [2383] 0.994329656 0.994332740 0.994335823 0.994338907 0.994341991 0.994345075
#> [2389] 0.994348159 0.994351243 0.994354327 0.994357410 0.994360494 0.994363578
#> [2395] 0.994366662 0.994369746 0.994372830 0.994375913 0.994378997 0.994382081
#> [2401] 0.994385165 0.994388249 0.994391333 0.994394417 0.994397500 0.994400584
#> [2407] 0.994403668 0.994406752 0.994409836 0.994412920 0.994416004 0.994419087
#> [2413] 0.994422171 0.994425255 0.994428339 0.994431423 0.994434507 0.994437590
#> [2419] 0.994440674 0.994443758 0.994446842 0.994449926 0.994453010 0.994456094
#> [2425] 0.994459177 0.994462261 0.994465345 0.994468429 0.994471513 0.994474597
#> [2431] 0.994477680 0.994480764 0.994483848 0.994486932 0.994490016 0.994493100
#> [2437] 0.994496184 0.994499267 0.994502351 0.994505435 0.994508519 0.994511603
#> [2443] 0.994514687 0.994517771 0.994520854 0.994523938 0.994527022 0.994530106
#> [2449] 0.994533190 0.994536274 0.994539357 0.994542441 0.994545525 0.994548609
#> [2455] 0.994551693 0.994554777 0.994557861 0.994560944 0.994564028 0.994567112
#> [2461] 0.994570196 0.994573280 0.994576364 0.994579448 0.994582531 0.994585615
#> [2467] 0.994588699 0.994591783 0.994594867 0.994597951 0.994601034 0.994604118
#> [2473] 0.994607202 0.994610286 0.994613370 0.994616454 0.994619538 0.994622621
#> [2479] 0.994625705 0.994628789 0.994631873 0.994634957 0.994638041 0.994641124
#> [2485] 0.994644208 0.994647292 0.994650376 0.994653460 0.994656544 0.994659628
#> [2491] 0.994662711 0.994665795 0.994668879 0.994671963 0.994675047 0.994678131
#> [2497] 0.994681215 0.994684298 0.994687382 0.994690466 0.994693550 0.994696634
#> [2503] 0.994699718 0.994702801 0.994705885 0.994708969 0.994712053 0.994715137
#> [2509] 0.994718221 0.994721305 0.994724388 0.994727472 0.994730556 0.994733640
#> [2515] 0.994736724 0.994739808 0.994742892 0.994745975 0.994749059 0.994752143
#> [2521] 0.994755227 0.994758311 0.994761395 0.994764478 0.994767562 0.994770646
#> [2527] 0.994773730 0.994776814 0.994779898 0.994782982 0.994786065 0.994789149
#> [2533] 0.994792233 0.994795317 0.994798401 0.994801485 0.994804569 0.994807652
#> [2539] 0.994810736 0.994813820 0.994816904 0.994819988 0.994823072 0.994826155
#> [2545] 0.994829239 0.994832323 0.994835407 0.994838491 0.994841575 0.994844659
#> [2551] 0.994847742 0.994850826 0.994853910 0.994856994 0.994860078 0.994863162
#> [2557] 0.994866245 0.994869329 0.994872413 0.994875497 0.994878581 0.994881665
#> [2563] 0.994884749 0.994887832 0.994890916 0.994894000 0.994897084 0.994900168
#> [2569] 0.994903252 0.994906336 0.994909419 0.994912503 0.994915587 0.994918671
#> [2575] 0.994921755 0.994924839 0.994927922 0.994931006 0.994934090 0.994937174
#> [2581] 0.994940258 0.994943342 0.994946426 0.994949509 0.994952593 0.994955677
#> [2587] 0.994958761 0.994961845 0.994964929 0.994968013 0.994971096 0.994974180
#> [2593] 0.994977264 0.994980348 0.994983432 0.994986516 0.994989599 0.994992683
#> [2599] 0.994995767 0.994998851 0.995001935 0.995005019 0.995008103 0.995011186
#> [2605] 0.995014270 0.995017354 0.995020438 0.995023522 0.995026606 0.995029690
#> [2611] 0.995032773 0.995035857 0.995038941 0.995042025 0.995045109 0.995048193
#> [2617] 0.995051276 0.995054360 0.995057444 0.995060528 0.995063612 0.995066696
#> [2623] 0.995069780 0.995072863 0.995075947 0.995079031 0.995082115 0.995085199
#> [2629] 0.995088283 0.995091366 0.995094450 0.995097534 0.995100618 0.995103702
#> [2635] 0.995106786 0.995109870 0.995112953 0.995116037 0.995119121 0.995122205
#> [2641] 0.995125289 0.995128373 0.995131457 0.995134540 0.995137624 0.995140708
#> [2647] 0.995143792 0.995146876 0.995149960 0.995153043 0.995156127 0.995159211
#> [2653] 0.995162295 0.995165379 0.995168463 0.995171547 0.995174630 0.995177714
#> [2659] 0.995180798 0.995183882 0.995186966 0.995190050 0.995193134 0.995196217
#> [2665] 0.995199301 0.995202385 0.995205469 0.995208553 0.995211637 0.995214720
#> [2671] 0.995217804 0.995220888 0.995223972 0.995227056 0.995230140 0.995233224
#> [2677] 0.995236307 0.995239391 0.995242475 0.995245559 0.995248643 0.995251727
#> [2683] 0.995254810 0.995257894 0.995260978 0.995264062 0.995267146 0.995270230
#> [2689] 0.995273314 0.995276397 0.995279481 0.995282565 0.995285649 0.995288733
#> [2695] 0.995291817 0.995294901 0.995297984 0.995301068 0.995304152 0.995307236
#> [2701] 0.995310320 0.995313404 0.995316487 0.995319571 0.995322655 0.995325739
#> [2707] 0.995328823 0.995331907 0.995334991 0.995338074 0.995341158 0.995344242
#> [2713] 0.995347326 0.995350410 0.995353494 0.995356578 0.995359661 0.995362745
#> [2719] 0.995365829 0.995368913 0.995371997 0.995375081 0.995378164 0.995381248
#> [2725] 0.995384332 0.995387416 0.995390500 0.995393584 0.995396668 0.995399751
#> [2731] 0.995402835 0.995405919 0.995409003 0.995412087 0.995415171 0.995418255
#> [2737] 0.995421338 0.995424422 0.995427506 0.995430590 0.995433674 0.995436758
#> [2743] 0.995439841 0.995442925 0.995446009 0.995449093 0.995452177 0.995455261
#> [2749] 0.995458345 0.995461428 0.995464512 0.995467596 0.995470680 0.995473764
#> [2755] 0.995476848 0.995479931 0.995483015 0.995486099 0.995489183 0.995492267
#> [2761] 0.995495351 0.995498435 0.995501518 0.995504602 0.995507686 0.995510770
#> [2767] 0.995513854 0.995516938 0.995520022 0.995523105 0.995526189 0.995529273
#> [2773] 0.995532357 0.995535441 0.995538525 0.995541608 0.995544692 0.995547776
#> [2779] 0.995550860 0.995553944 0.995557028 0.995560112 0.995563195 0.995566279
#> [2785] 0.995569363 0.995572447 0.995575531 0.995578615 0.995581699 0.995584782
#> [2791] 0.995587866 0.995590950 0.995594034 0.995597118 0.995600202 0.995603285
#> [2797] 0.995606369 0.995609453 0.995612537 0.995615621 0.995618705 0.995621789
#> [2803] 0.995624872 0.995627956 0.995631040 0.995634124 0.995637208 0.995640292
#> [2809] 0.995643375 0.995646459 0.995649543 0.995652627 0.995655711 0.995658795
#> [2815] 0.995661879 0.995664962 0.995668046 0.995671130 0.995674214 0.995677298
#> [2821] 0.995680382 0.995683466 0.995686549 0.995689633 0.995692717 0.995695801
#> [2827] 0.995698885 0.995701969 0.995705052 0.995708136 0.995711220 0.995714304
#> [2833] 0.995717388 0.995720472 0.995723556 0.995726639 0.995729723 0.995732807
#> [2839] 0.995735891 0.995738975 0.995742059 0.995745143 0.995748226 0.995751310
#> [2845] 0.995754394 0.995757478 0.995760562 0.995763646 0.995766729 0.995769813
#> [2851] 0.995772897 0.995775981 0.995779065 0.995782149 0.995785233 0.995788316
#> [2857] 0.995791400 0.995794484 0.995797568 0.995800652 0.995803736 0.995806820
#> [2863] 0.995809903 0.995812987 0.995816071 0.995819155 0.995822239 0.995825323
#> [2869] 0.995828406 0.995831490 0.995834574 0.995837658 0.995840742 0.995843826
#> [2875] 0.995846910 0.995849993 0.995853077 0.995856161 0.995859245 0.995862329
#> [2881] 0.995865413 0.995868496 0.995871580 0.995874664 0.995877748 0.995880832
#> [2887] 0.995883916 0.995887000 0.995890083 0.995893167 0.995896251 0.995899335
#> [2893] 0.995902419 0.995905503 0.995908587 0.995911670 0.995914754 0.995917838
#> [2899] 0.995920922 0.995924006 0.995927090 0.995930173 0.995933257 0.995936341
#> [2905] 0.995939425 0.995942509 0.995945593 0.995948677 0.995951760 0.995954844
#> [2911] 0.995957928 0.995961012 0.995964096 0.995967180 0.995970264 0.995973347
#> [2917] 0.995976431 0.995979515 0.995982599 0.995985683 0.995988767 0.995991850
#> [2923] 0.995994934 0.995998018 0.996001102 0.996004186 0.996007270 0.996010354
#> [2929] 0.996013437 0.996016521 0.996019605 0.996022689 0.996025773 0.996028857
#> [2935] 0.996031941 0.996035024 0.996038108 0.996041192 0.996044276 0.996047360
#> [2941] 0.996050444 0.996053527 0.996056611 0.996059695 0.996062779 0.996065863
#> [2947] 0.996068947 0.996072031 0.996075114 0.996078198 0.996081282 0.996084366
#> [2953] 0.996087450 0.996090534 0.996093617 0.996096701 0.996099785 0.996102869
#> [2959] 0.996105953 0.996109037 0.996112121 0.996115204 0.996118288 0.996121372
#> [2965] 0.996124456 0.996127540 0.996130624 0.996133708 0.996136791 0.996139875
#> [2971] 0.996142959 0.996146043 0.996149127 0.996152211 0.996155294 0.996158378
#> [2977] 0.996161462 0.996164546 0.996167630 0.996170714 0.996173798 0.996176881
#> [2983] 0.996179965 0.996183049 0.996186133 0.996189217 0.996192301 0.996195385
#> [2989] 0.996198468 0.996201552 0.996204636 0.996207720 0.996210804 0.996213888
#> [2995] 0.996216971 0.996220055 0.996223139 0.996226223 0.996229307 0.996232391
#> [3001] 0.996235475 0.996238558 0.996241642 0.996244726 0.996247810 0.996250894
#> [3007] 0.996253978 0.996257061 0.996260145 0.996263229 0.996266313 0.996269397
#> [3013] 0.996272481 0.996275565 0.996278648 0.996281732 0.996284816 0.996287900
#> [3019] 0.996290984 0.996294068 0.996297152 0.996300235 0.996303319 0.996306403
#> [3025] 0.996309487 0.996312571 0.996315655 0.996318738 0.996321822 0.996324906
#> [3031] 0.996327990 0.996331074 0.996334158 0.996337242 0.996340325 0.996343409
#> [3037] 0.996346493 0.996349577 0.996352661 0.996355745 0.996358829 0.996361912
#> [3043] 0.996364996 0.996368080 0.996371164 0.996374248 0.996377332 0.996380415
#> [3049] 0.996383499 0.996386583 0.996389667 0.996392751 0.996395835 0.996398919
#> [3055] 0.996402002 0.996405086 0.996408170 0.996411254 0.996414338 0.996417422
#> [3061] 0.996420506 0.996423589 0.996426673 0.996429757 0.996432841 0.996435925
#> [3067] 0.996439009 0.996442092 0.996445176 0.996448260 0.996451344 0.996454428
#> [3073] 0.996457512 0.996460596 0.996463679 0.996466763 0.996469847 0.996472931
#> [3079] 0.996476015 0.996479099 0.996482182 0.996485266 0.996488350 0.996491434
#> [3085] 0.996494518 0.996497602 0.996500686 0.996503769 0.996506853 0.996509937
#> [3091] 0.996513021 0.996516105 0.996519189 0.996522273 0.996525356 0.996528440
#> [3097] 0.996531524 0.996534608 0.996537692 0.996540776 0.996543859 0.996546943
#> [3103] 0.996550027 0.996553111 0.996556195 0.996559279 0.996562363 0.996565446
#> [3109] 0.996568530 0.996571614 0.996574698 0.996577782 0.996580866 0.996583950
#> [3115] 0.996587033 0.996590117 0.996593201 0.996596285 0.996599369 0.996602453
#> [3121] 0.996605536 0.996608620 0.996611704 0.996614788 0.996617872 0.996620956
#> [3127] 0.996624040 0.996627123 0.996630207 0.996633291 0.996636375 0.996639459
#> [3133] 0.996642543 0.996645627 0.996648710 0.996651794 0.996654878 0.996657962
#> [3139] 0.996661046 0.996664130 0.996667213 0.996670297 0.996673381 0.996676465
#> [3145] 0.996679549 0.996682633 0.996685717 0.996688800 0.996691884 0.996694968
#> [3151] 0.996698052 0.996701136 0.996704220 0.996707303 0.996710387 0.996713471
#> [3157] 0.996716555 0.996719639 0.996722723 0.996725807 0.996728890 0.996731974
#> [3163] 0.996735058 0.996738142 0.996741226 0.996744310 0.996747394 0.996750477
#> [3169] 0.996753561 0.996756645 0.996759729 0.996762813 0.996765897 0.996768980
#> [3175] 0.996772064 0.996775148 0.996778232 0.996781316 0.996784400 0.996787484
#> [3181] 0.996790567 0.996793651 0.996796735 0.996799819 0.996802903 0.996805987
#> [3187] 0.996809071 0.996812154 0.996815238 0.996818322 0.996821406 0.996824490
#> [3193] 0.996827574 0.996830657 0.996833741 0.996836825 0.996839909 0.996842993
#> [3199] 0.996846077 0.996849161 0.996852244 0.996855328 0.996858412 0.996861496
#> [3205] 0.996864580 0.996867664 0.996870747 0.996873831 0.996876915 0.996879999
#> [3211] 0.996883083 0.996886167 0.996889251 0.996892334 0.996895418 0.996898502
#> [3217] 0.996901586 0.996904670 0.996907754 0.996910838 0.996913921 0.996917005
#> [3223] 0.996920089 0.996923173 0.996926257 0.996929341 0.996932424 0.996935508
#> [3229] 0.996938592 0.996941676 0.996944760 0.996947844 0.996950928 0.996954011
#> [3235] 0.996957095 0.996960179 0.996963263 0.996966347 0.996969431 0.996972515
#> [3241] 0.996975598 0.996978682 0.996981766 0.996984850 0.996987934 0.996991018
#> [3247] 0.996994101 0.996997185 0.997000269 0.997003353 0.997006437 0.997009521
#> [3253] 0.997012605 0.997015688 0.997018772 0.997021856 0.997024940 0.997028024
#> [3259] 0.997031108 0.997034192 0.997037275 0.997040359 0.997043443 0.997046527
#> [3265] 0.997049611 0.997052695 0.997055778 0.997058862 0.997061946 0.997065030
#> [3271] 0.997068114 0.997071198 0.997074282 0.997077365 0.997080449 0.997083533
#> [3277] 0.997086617 0.997089701 0.997092785 0.997095868 0.997098952 0.997102036
#> [3283] 0.997105120 0.997108204 0.997111288 0.997114372 0.997117455 0.997120539
#> [3289] 0.997123623 0.997126707 0.997129791 0.997132875 0.997135959 0.997139042
#> [3295] 0.997142126 0.997145210 0.997148294 0.997151378 0.997154462 0.997157545
#> [3301] 0.997160629 0.997163713 0.997166797 0.997169881 0.997172965 0.997176049
#> [3307] 0.997179132 0.997182216 0.997185300 0.997188384 0.997191468 0.997194552
#> [3313] 0.997197636 0.997200719 0.997203803 0.997206887 0.997209971 0.997213055
#> [3319] 0.997216139 0.997219222 0.997222306 0.997225390 0.997228474 0.997231558
#> [3325] 0.997234642 0.997237726 0.997240809 0.997243893 0.997246977 0.997250061
#> [3331] 0.997253145 0.997256229 0.997259312 0.997262396 0.997265480 0.997268564
#> [3337] 0.997271648 0.997274732 0.997277816 0.997280899 0.997283983 0.997287067
#> [3343] 0.997290151 0.997293235 0.997296319 0.997299403 0.997302486 0.997305570
#> [3349] 0.997308654 0.997311738 0.997314822 0.997317906 0.997320989 0.997324073
#> [3355] 0.997327157 0.997330241 0.997333325 0.997336409 0.997339493 0.997342576
#> [3361] 0.997345660 0.997348744 0.997351828 0.997354912 0.997357996 0.997361080
#> [3367] 0.997364163 0.997367247 0.997370331 0.997373415 0.997376499 0.997379583
#> [3373] 0.997382666 0.997385750 0.997388834 0.997391918 0.997395002 0.997398086
#> [3379] 0.997401170 0.997404253 0.997407337 0.997410421 0.997413505 0.997416589
#> [3385] 0.997419673 0.997422757 0.997425840 0.997428924 0.997432008 0.997435092
#> [3391] 0.997438176 0.997441260 0.997444343 0.997447427 0.997450511 0.997453595
#> [3397] 0.997456679 0.997459763 0.997462847 0.997465930 0.997469014 0.997472098
#> [3403] 0.997475182 0.997478266 0.997481350 0.997484433 0.997487517 0.997490601
#> [3409] 0.997493685 0.997496769 0.997499853 0.997502937 0.997506020 0.997509104
#> [3415] 0.997512188 0.997515272 0.997518356 0.997521440 0.997524524 0.997527607
#> [3421] 0.997530691 0.997533775 0.997536859 0.997539943 0.997543027 0.997546110
#> [3427] 0.997549194 0.997552278 0.997555362 0.997558446 0.997561530 0.997564614
#> [3433] 0.997567697 0.997570781 0.997573865 0.997576949 0.997580033 0.997583117
#> [3439] 0.997586201 0.997589284 0.997592368 0.997595452 0.997598536 0.997601620
#> [3445] 0.997604704 0.997607787 0.997610871 0.997613955 0.997617039 0.997620123
#> [3451] 0.997623207 0.997626291 0.997629374 0.997632458 0.997635542 0.997638626
#> [3457] 0.997641710 0.997644794 0.997647878 0.997650961 0.997654045 0.997657129
#> [3463] 0.997660213 0.997663297 0.997666381 0.997669464 0.997672548 0.997675632
#> [3469] 0.997678716 0.997681800 0.997684884 0.997687968 0.997691051 0.997694135
#> [3475] 0.997697219 0.997700303 0.997703387 0.997706471 0.997709554 0.997712638
#> [3481] 0.997715722 0.997718806 0.997721890 0.997724974 0.997728058 0.997731141
#> [3487] 0.997734225 0.997737309 0.997740393 0.997743477 0.997746561 0.997749645
#> [3493] 0.997752728 0.997755812 0.997758896 0.997761980 0.997765064 0.997768148
#> [3499] 0.997771231 0.997774315 0.997777399 0.997780483 0.997783567 0.997786651
#> [3505] 0.997789735 0.997792818 0.997795902 0.997798986 0.997802070 0.997805154
#> [3511] 0.997808238 0.997811322 0.997814405 0.997817489 0.997820573 0.997823657
#> [3517] 0.997826741 0.997829825 0.997832908 0.997835992 0.997839076 0.997842160
#> [3523] 0.997845244 0.997848328 0.997851412 0.997854495 0.997857579 0.997860663
#> [3529] 0.997863747 0.997866831 0.997869915 0.997872998 0.997876082 0.997879166
#> [3535] 0.997882250 0.997885334 0.997888418 0.997891502 0.997894585 0.997897669
#> [3541] 0.997900753 0.997903837 0.997906921 0.997910005 0.997913089 0.997916172
#> [3547] 0.997919256 0.997922340 0.997925424 0.997928508 0.997931592 0.997934675
#> [3553] 0.997937759 0.997940843 0.997943927 0.997947011 0.997950095 0.997953179
#> [3559] 0.997956262 0.997959346 0.997962430 0.997965514 0.997968598 0.997971682
#> [3565] 0.997974766 0.997977849 0.997980933 0.997984017 0.997987101 0.997990185
#> [3571] 0.997993269 0.997996352 0.997999436 0.998002520 0.998005604 0.998008688
#> [3577] 0.998011772 0.998014856 0.998017939 0.998021023 0.998024107 0.998027191
#> [3583] 0.998030275 0.998033359 0.998036443 0.998039526 0.998042610 0.998045694
#> [3589] 0.998048778 0.998051862 0.998054946 0.998058029 0.998061113 0.998064197
#> [3595] 0.998067281 0.998070365 0.998073449 0.998076533 0.998079616 0.998082700
#> [3601] 0.998085784 0.998088868 0.998091952 0.998095036 0.998098119 0.998101203
#> [3607] 0.998104287 0.998107371 0.998110455 0.998113539 0.998116623 0.998119706
#> [3613] 0.998122790 0.998125874 0.998128958 0.998132042 0.998135126 0.998138210
#> [3619] 0.998141293 0.998144377 0.998147461 0.998150545 0.998153629 0.998156713
#> [3625] 0.998159796 0.998162880 0.998165964 0.998169048 0.998172132 0.998175216
#> [3631] 0.998178300 0.998181383 0.998184467 0.998187551 0.998190635 0.998193719
#> [3637] 0.998196803 0.998199887 0.998202970 0.998206054 0.998209138 0.998212222
#> [3643] 0.998215306 0.998218390 0.998221473 0.998224557 0.998227641 0.998230725
#> [3649] 0.998233809 0.998236893 0.998239977 0.998243060 0.998246144 0.998249228
#> [3655] 0.998252312 0.998255396 0.998258480 0.998261563 0.998264647 0.998267731
#> [3661] 0.998270815 0.998273899 0.998276983 0.998280067 0.998283150 0.998286234
#> [3667] 0.998289318 0.998292402 0.998295486 0.998298570 0.998301654 0.998304737
#> [3673] 0.998307821 0.998310905 0.998313989 0.998317073 0.998320157 0.998323240
#> [3679] 0.998326324 0.998329408 0.998332492 0.998335576 0.998338660 0.998341744
#> [3685] 0.998344827 0.998347911 0.998350995 0.998354079 0.998357163 0.998360247
#> [3691] 0.998363331 0.998366414 0.998369498 0.998372582 0.998375666 0.998378750
#> [3697] 0.998381834 0.998384917 0.998388001 0.998391085 0.998394169 0.998397253
#> [3703] 0.998400337 0.998403421 0.998406504 0.998409588 0.998412672 0.998415756
#> [3709] 0.998418840 0.998421924 0.998425008 0.998428091 0.998431175 0.998434259
#> [3715] 0.998437343 0.998440427 0.998443511 0.998446594 0.998449678 0.998452762
#> [3721] 0.998455846 0.998458930 0.998462014 0.998465098 0.998468181 0.998471265
#> [3727] 0.998474349 0.998477433 0.998480517 0.998483601 0.998486684 0.998489768
#> [3733] 0.998492852 0.998495936 0.998499020 0.998502104 0.998505188 0.998508271
#> [3739] 0.998511355 0.998514439 0.998517523 0.998520607 0.998523691 0.998526775
#> [3745] 0.998529858 0.998532942 0.998536026 0.998539110 0.998542194 0.998545278
#> [3751] 0.998548361 0.998551445 0.998554529 0.998557613 0.998560697 0.998563781
#> [3757] 0.998566865 0.998569948 0.998573032 0.998576116 0.998579200 0.998582284
#> [3763] 0.998585368 0.998588452 0.998591535 0.998594619 0.998597703 0.998600787
#> [3769] 0.998603871 0.998606955 0.998610038 0.998613122 0.998616206 0.998619290
#> [3775] 0.998622374 0.998625458 0.998628542 0.998631625 0.998634709 0.998637793
#> [3781] 0.998640877 0.998643961 0.998647045 0.998650129 0.998653212 0.998656296
#> [3787] 0.998659380 0.998662464 0.998665548 0.998668632 0.998671715 0.998674799
#> [3793] 0.998677883 0.998680967 0.998684051 0.998687135 0.998690219 0.998693302
#> [3799] 0.998696386 0.998699470 0.998702554 0.998705638 0.998708722 0.998711805
#> [3805] 0.998714889 0.998717973 0.998721057 0.998724141 0.998727225 0.998730309
#> [3811] 0.998733392 0.998736476 0.998739560 0.998742644 0.998745728 0.998748812
#> [3817] 0.998751896 0.998754979 0.998758063 0.998761147 0.998764231 0.998767315
#> [3823] 0.998770399 0.998773482 0.998776566 0.998779650 0.998782734 0.998785818
#> [3829] 0.998788902 0.998791986 0.998795069 0.998798153 0.998801237 0.998804321
#> [3835] 0.998807405 0.998810489 0.998813573 0.998816656 0.998819740 0.998822824
#> [3841] 0.998825908 0.998828992 0.998832076 0.998835159 0.998838243 0.998841327
#> [3847] 0.998844411 0.998847495 0.998850579 0.998853663 0.998856746 0.998859830
#> [3853] 0.998862914 0.998865998 0.998869082 0.998872166 0.998875249 0.998878333
#> [3859] 0.998881417 0.998884501 0.998887585 0.998890669 0.998893753 0.998896836
#> [3865] 0.998899920 0.998903004 0.998906088 0.998909172 0.998912256 0.998915340
#> [3871] 0.998918423 0.998921507 0.998924591 0.998927675 0.998930759 0.998933843
#> [3877] 0.998936926 0.998940010 0.998943094 0.998946178 0.998949262 0.998952346
#> [3883] 0.998955430 0.998958513 0.998961597 0.998964681 0.998967765 0.998970849
#> [3889] 0.998973933 0.998977017 0.998980100 0.998983184 0.998986268 0.998989352
#> [3895] 0.998992436 0.998995520 0.998998603 0.999001687 0.999004771 0.999007855
#> [3901] 0.999010939 0.999014023 0.999017107 0.999020190 0.999023274 0.999026358
#> [3907] 0.999029442 0.999032526 0.999035610 0.999038694 0.999041777 0.999044861
#> [3913] 0.999047945 0.999051029 0.999054113 0.999057197 0.999060280 0.999063364
#> [3919] 0.999066448 0.999069532 0.999072616 0.999075700 0.999078784 0.999081867
#> [3925] 0.999084951 0.999088035 0.999091119 0.999094203 0.999097287 0.999100370
#> [3931] 0.999103454 0.999106538 0.999109622 0.999112706 0.999115790 0.999118874
#> [3937] 0.999121957 0.999125041 0.999128125 0.999131209 0.999134293 0.999137377
#> [3943] 0.999140461 0.999143544 0.999146628 0.999149712 0.999152796 0.999155880
#> [3949] 0.999158964 0.999162047 0.999165131 0.999168215 0.999171299 0.999174383
#> [3955] 0.999177467 0.999180551 0.999183634 0.999186718 0.999189802 0.999192886
#> [3961] 0.999195970 0.999199054 0.999202138 0.999205221 0.999208305 0.999211389
#> [3967] 0.999214473 0.999217557 0.999220641 0.999223724 0.999226808 0.999229892
#> [3973] 0.999232976 0.999236060 0.999239144 0.999242228 0.999245311 0.999248395
#> [3979] 0.999251479 0.999254563 0.999257647 0.999260731 0.999263814 0.999266898
#> [3985] 0.999269982 0.999273066 0.999276150 0.999279234 0.999282318 0.999285401
#> [3991] 0.999288485 0.999291569 0.999294653 0.999297737 0.999300821 0.999303905
#> [3997] 0.999306988 0.999310072 0.999313156 0.999316240 0.999319324 0.999322408
#> [4003] 0.999325491 0.999328575 0.999331659 0.999334743 0.999337827 0.999340911
#> [4009] 0.999343995 0.999347078 0.999350162 0.999353246 0.999356330 0.999359414
#> [4015] 0.999362498 0.999365582 0.999368665 0.999371749 0.999374833 0.999377917
#> [4021] 0.999381001 0.999384085 0.999387168 0.999390252 0.999393336 0.999396420
#> [4027] 0.999399504 0.999402588 0.999405672 0.999408755 0.999411839 0.999414923
#> [4033] 0.999418007 0.999421091 0.999424175 0.999427259 0.999430342 0.999433426
#> [4039] 0.999436510 0.999439594 0.999442678 0.999445762 0.999448845 0.999451929
#> [4045] 0.999455013 0.999458097 0.999461181 0.999464265 0.999467349 0.999470432
#> [4051] 0.999473516 0.999476600 0.999479684 0.999482768 0.999485852 0.999488935
#> [4057] 0.999492019 0.999495103 0.999498187 0.999501271 0.999504355 0.999507439
#> [4063] 0.999510522 0.999513606 0.999516690 0.999519774 0.999522858 0.999525942
#> [4069] 0.999529026 0.999532109 0.999535193 0.999538277 0.999541361 0.999544445
#> [4075] 0.999547529 0.999550612 0.999553696 0.999556780 0.999559864 0.999562948
#> [4081] 0.999566032 0.999569116 0.999572199 0.999575283 0.999578367 0.999581451
#> [4087] 0.999584535 0.999587619 0.999590703 0.999593786 0.999596870 0.999599954
#> [4093] 0.999603038 0.999606122 0.999609206 0.999612289 0.999615373 0.999618457
#> [4099] 0.999621541 0.999624625 0.999627709 0.999630793 0.999633876 0.999636960
#> [4105] 0.999640044 0.999643128 0.999646212 0.999649296 0.999652380 0.999655463
#> [4111] 0.999658547 0.999661631 0.999664715 0.999667799 0.999670883 0.999673966
#> [4117] 0.999677050 0.999680134 0.999683218 0.999686302 0.999689386 0.999692470
#> [4123] 0.999695553 0.999698637 0.999701721 0.999704805 0.999707889 0.999710973
#> [4129] 0.999714056 0.999717140 0.999720224 0.999723308 0.999726392 0.999729476
#> [4135] 0.999732560 0.999735643 0.999738727 0.999741811 0.999744895 0.999747979
#> [4141] 0.999751063 0.999754147 0.999757230 0.999760314 0.999763398 0.999766482
#> [4147] 0.999769566 0.999772650 0.999775733 0.999778817 0.999781901 0.999784985
#> [4153] 0.999788069 0.999791153 0.999794237 0.999797320 0.999800404 0.999803488
#> [4159] 0.999806572 0.999809656 0.999812740 0.999815824 0.999818907 0.999821991
#> [4165] 0.999825075 0.999828159 0.999831243 0.999834327 0.999837410 0.999840494
#> [4171] 0.999843578 0.999846662 0.999849746 0.999852830 0.999855914 0.999858997
#> [4177] 0.999862081 0.999865165 0.999868249 0.999871333 0.999874417 0.999877500
#> [4183] 0.999880584 0.999883668 0.999886752 0.999889836 0.999892920 0.999896004
#> [4189] 0.999899087 0.999902171 0.999905255 0.999908339 0.999911423 0.999914507
#> [4195] 0.999917591 0.999920674 0.999923758 0.999926842 0.999929926 0.999933010
#> [4201] 0.999936094 0.999939177 0.999942261 0.999945345 0.999948429 0.999951513
#> [4207] 0.999954597 0.999957681 0.999960764 0.999963848 0.999966932 0.999970016
#> [4213] 0.999973100 0.999976184 0.999979268 0.999982351 0.999985435 0.999988519
#> [4219] 0.999991603 0.999994687 0.999997771 NA
#>
#> $Con_RP
#> [1] NA 7.714214e+00 7.715459e+00 7.716704e+00 7.717950e+00
#> [6] 7.719197e+00 7.720443e+00 7.721691e+00 7.722938e+00 7.724186e+00
#> [11] 7.725435e+00 7.726683e+00 7.727933e+00 7.729182e+00 7.730432e+00
#> [16] 7.731683e+00 7.732933e+00 7.734185e+00 7.735436e+00 7.736688e+00
#> [21] 7.737941e+00 7.739194e+00 7.740447e+00 7.741700e+00 7.742954e+00
#> [26] 7.744209e+00 7.745464e+00 7.746719e+00 7.747975e+00 7.749231e+00
#> [31] 7.750487e+00 7.751744e+00 7.753002e+00 7.754259e+00 7.755517e+00
#> [36] 7.756776e+00 7.758035e+00 7.759294e+00 7.760704e+00 7.762337e+00
#> [41] 7.763971e+00 7.765605e+00 7.767241e+00 7.769627e+00 7.772557e+00
#> [46] 7.775489e+00 7.778423e+00 7.781359e+00 7.784298e+00 7.787238e+00
#> [51] 7.790181e+00 7.793126e+00 7.796074e+00 7.799023e+00 7.801975e+00
#> [56] 7.804929e+00 7.807886e+00 7.810844e+00 7.813805e+00 7.816897e+00
#> [61] 7.820172e+00 7.823449e+00 7.862051e+00 7.895634e+00 7.923459e+00
#> [66] 7.942076e+00 7.949251e+00 7.955135e+00 7.961028e+00 7.966930e+00
#> [71] 7.972841e+00 7.978760e+00 7.984688e+00 7.990625e+00 7.996789e+00
#> [76] 8.003889e+00 8.021963e+00 8.040118e+00 8.058356e+00 8.143765e+00
#> [81] 8.171175e+00 8.198667e+00 8.226143e+00 8.253667e+00 8.262579e+00
#> [86] 8.271321e+00 8.280080e+00 8.288859e+00 8.297656e+00 8.306472e+00
#> [91] 8.315307e+00 8.416790e+00 8.465481e+00 8.490821e+00 8.516312e+00
#> [96] 8.628931e+00 8.736866e+00 8.757606e+00 8.777857e+00 8.798202e+00
#> [101] 8.823231e+00 8.853355e+00 8.881785e+00 8.897980e+00 8.912465e+00
#> [106] 8.926997e+00 8.941577e+00 8.956294e+00 9.033788e+00 9.063465e+00
#> [111] 9.091192e+00 9.130230e+00 9.206466e+00 9.234999e+00 9.263709e+00
#> [116] 9.327045e+00 9.404455e+00 9.455053e+00 9.480944e+00 9.506977e+00
#> [121] 9.539419e+00 9.609908e+00 9.743701e+00 9.877630e+00 9.913243e+00
#> [126] 9.940093e+00 9.967089e+00 9.994561e+00 1.002267e+01 1.005095e+01
#> [131] 1.008055e+01 1.018506e+01 1.027500e+01 1.049555e+01 1.051512e+01
#> [136] 1.053474e+01 1.055444e+01 1.057421e+01 1.059352e+01 1.061206e+01
#> [141] 1.063056e+01 1.064912e+01 1.066774e+01 1.068648e+01 1.076179e+01
#> [146] 1.083416e+01 1.087486e+01 1.091578e+01 1.095235e+01 1.098866e+01
#> [151] 1.102529e+01 1.124218e+01 1.131555e+01 1.137414e+01 1.144760e+01
#> [156] 1.153220e+01 1.163887e+01 1.202010e+01 1.233336e+01 1.238943e+01
#> [161] 1.244290e+01 1.251067e+01 1.260791e+01 1.301559e+01 1.325570e+01
#> [166] 1.350203e+01 1.368904e+01 1.401721e+01 1.416760e+01 1.450721e+01
#> [171] 1.553341e+01 1.594152e+01 1.607619e+01 1.670412e+01 1.722339e+01
#> [176] 1.745359e+01 1.757590e+01 1.769084e+01 1.777775e+01 1.782334e+01
#> [181] 1.786555e+01 1.790797e+01 1.795058e+01 1.799341e+01 1.803643e+01
#> [186] 1.810751e+01 1.833939e+01 1.852128e+01 1.869114e+01 1.885261e+01
#> [191] 1.901465e+01 1.925449e+01 1.977212e+01 1.984439e+01 1.991066e+01
#> [196] 1.997738e+01 2.004454e+01 2.011216e+01 2.021873e+01 2.041025e+01
#> [201] 2.068826e+01 2.124359e+01 2.157873e+01 2.181990e+01 2.194190e+01
#> [206] 2.204969e+01 2.215853e+01 2.226995e+01 2.274420e+01 2.293895e+01
#> [211] 2.310304e+01 2.327240e+01 2.353262e+01 2.381376e+01 2.400832e+01
#> [216] 2.419924e+01 2.444869e+01 2.540146e+01 2.568694e+01 2.583165e+01
#> [221] 2.597801e+01 2.612603e+01 2.697076e+01 2.723528e+01 2.750504e+01
#> [226] 2.774126e+01 2.796510e+01 2.819259e+01 2.847326e+01 2.883562e+01
#> [231] 3.000832e+01 3.080319e+01 3.135986e+01 3.205574e+01 3.282262e+01
#> [236] 3.302846e+01 3.323119e+01 3.343641e+01 3.364419e+01 3.391203e+01
#> [241] 3.443443e+01 3.502867e+01 3.626606e+01 3.673842e+01 3.722325e+01
#> [246] 3.892426e+01 3.971275e+01 4.193884e+01 4.249281e+01 4.300847e+01
#> [251] 4.353673e+01 4.407639e+01 4.462887e+01 4.519537e+01 4.642964e+01
#> [256] 4.781476e+01 4.813903e+01 4.846528e+01 4.879597e+01 4.913121e+01
#> [261] 4.947109e+01 4.984928e+01 5.079622e+01 5.208828e+01 5.558743e+01
#> [266] 5.615621e+01 5.673674e+01 5.732941e+01 5.793459e+01 5.835643e+01
#> [271] 5.864725e+01 5.892297e+01 5.920131e+01 5.948228e+01 5.976594e+01
#> [276] 6.005231e+01 6.034144e+01 6.063337e+01 6.092813e+01 6.122654e+01
#> [281] 6.154294e+01 6.205315e+01 6.277308e+01 6.350991e+01 6.426424e+01
#> [286] 6.503671e+01 6.588973e+01 6.685362e+01 6.784909e+01 6.887466e+01
#> [291] 6.995158e+01 7.115448e+01 7.241477e+01 7.372051e+01 7.505999e+01
#> [296] 7.636242e+01 7.771086e+01 7.910777e+01 8.054370e+01 8.080264e+01
#> [301] 8.106325e+01 8.132555e+01 8.157188e+01 8.181295e+01 8.205546e+01
#> [306] 8.229941e+01 8.254481e+01 8.279168e+01 8.304003e+01 8.328988e+01
#> [311] 8.354123e+01 8.379411e+01 8.404852e+01 8.430448e+01 8.456201e+01
#> [316] 8.482111e+01 8.508181e+01 8.534411e+01 8.560804e+01 8.587360e+01
#> [321] 8.614081e+01 8.640970e+01 8.668027e+01 8.695166e+01 8.717513e+01
#> [326] 8.739975e+01 8.762553e+01 8.785248e+01 8.806554e+01 8.826886e+01
#> [331] 8.847312e+01 8.867833e+01 8.888450e+01 8.909162e+01 8.929971e+01
#> [336] 8.950878e+01 8.971883e+01 8.992986e+01 9.014189e+01 9.035493e+01
#> [341] 9.056897e+01 9.078403e+01 9.100011e+01 9.121722e+01 9.143538e+01
#> [346] 9.165457e+01 9.187483e+01 9.209614e+01 9.231852e+01 9.254198e+01
#> [351] 9.276652e+01 9.299216e+01 9.321889e+01 9.344674e+01 9.367570e+01
#> [356] 9.390578e+01 9.413700e+01 9.436936e+01 9.459953e+01 9.482863e+01
#> [361] 9.505884e+01 9.529017e+01 9.552263e+01 9.575007e+01 9.597204e+01
#> [366] 9.619504e+01 9.641909e+01 9.664418e+01 9.687032e+01 9.709752e+01
#> [371] 9.732579e+01 9.755514e+01 9.778557e+01 9.801709e+01 9.824972e+01
#> [376] 9.848344e+01 9.871829e+01 9.895425e+01 9.919135e+01 9.942958e+01
#> [381] 9.966896e+01 9.990950e+01 1.001512e+02 1.003941e+02 1.006381e+02
#> [386] 1.008834e+02 1.011298e+02 1.013775e+02 1.016263e+02 1.018764e+02
#> [391] 1.021277e+02 1.023803e+02 1.026341e+02 1.028892e+02 1.031456e+02
#> [396] 1.034032e+02 1.036621e+02 1.039223e+02 1.041839e+02 1.044467e+02
#> [401] 1.047109e+02 1.054228e+02 1.064369e+02 1.074886e+02 1.085612e+02
#> [406] 1.096555e+02 1.107720e+02 1.119116e+02 1.130748e+02 1.142624e+02
#> [411] 1.154753e+02 1.166072e+02 1.176976e+02 1.187462e+02 1.198126e+02
#> [416] 1.208984e+02 1.220040e+02 1.231300e+02 1.242770e+02 1.254456e+02
#> [421] 1.266363e+02 1.278499e+02 1.290870e+02 1.299176e+02 1.303646e+02
#> [426] 1.308146e+02 1.312678e+02 1.317241e+02 1.320523e+02 1.322833e+02
#> [431] 1.325150e+02 1.327476e+02 1.329810e+02 1.332153e+02 1.334503e+02
#> [436] 1.336862e+02 1.339229e+02 1.341605e+02 1.343989e+02 1.346381e+02
#> [441] 1.348782e+02 1.351192e+02 1.353610e+02 1.356037e+02 1.358472e+02
#> [446] 1.360917e+02 1.363370e+02 1.365832e+02 1.368303e+02 1.370783e+02
#> [451] 1.373272e+02 1.375770e+02 1.378277e+02 1.380793e+02 1.383319e+02
#> [456] 1.385853e+02 1.388397e+02 1.390951e+02 1.393513e+02 1.396086e+02
#> [461] 1.398667e+02 1.401259e+02 1.403860e+02 1.406470e+02 1.409090e+02
#> [466] 1.411721e+02 1.414361e+02 1.417010e+02 1.419670e+02 1.422340e+02
#> [471] 1.425020e+02 1.427710e+02 1.430410e+02 1.433120e+02 1.435841e+02
#> [476] 1.438572e+02 1.441313e+02 1.444065e+02 1.446828e+02 1.449601e+02
#> [481] 1.452384e+02 1.455179e+02 1.457984e+02 1.460800e+02 1.463627e+02
#> [486] 1.466465e+02 1.469313e+02 1.472228e+02 1.475308e+02 1.478401e+02
#> [491] 1.481507e+02 1.484626e+02 1.487758e+02 1.490903e+02 1.494062e+02
#> [496] 1.497234e+02 1.500744e+02 1.511182e+02 1.521768e+02 1.532502e+02
#> [501] 1.543389e+02 1.554431e+02 1.565633e+02 1.576998e+02 1.588528e+02
#> [506] 1.600229e+02 1.612103e+02 1.624155e+02 1.636388e+02 1.648807e+02
#> [511] 1.661416e+02 1.674219e+02 1.687221e+02 1.700426e+02 1.713840e+02
#> [516] 1.727468e+02 1.741392e+02 1.755934e+02 1.770721e+02 1.785814e+02
#> [521] 1.801244e+02 1.816943e+02 1.832918e+02 1.849176e+02 1.865725e+02
#> [526] 1.882573e+02 1.899728e+02 1.917199e+02 1.934994e+02 1.953122e+02
#> [531] 1.971594e+02 1.990418e+02 2.009605e+02 2.029165e+02 2.049110e+02
#> [536] 2.068879e+02 2.081675e+02 2.094630e+02 2.107748e+02 2.121031e+02
#> [541] 2.131942e+02 2.141729e+02 2.151606e+02 2.161575e+02 2.171637e+02
#> [546] 2.181793e+02 2.192044e+02 2.202392e+02 2.212838e+02 2.223384e+02
#> [551] 2.234031e+02 2.244780e+02 2.255633e+02 2.266592e+02 2.277657e+02
#> [556] 2.288832e+02 2.300116e+02 2.311512e+02 2.323022e+02 2.334647e+02
#> [561] 2.346388e+02 2.358249e+02 2.370230e+02 2.382333e+02 2.394561e+02
#> [566] 2.406915e+02 2.419397e+02 2.432009e+02 2.444753e+02 2.457631e+02
#> [571] 2.470646e+02 2.483800e+02 2.497094e+02 2.510531e+02 2.524114e+02
#> [576] 2.537845e+02 2.551255e+02 2.560018e+02 2.568840e+02 2.577724e+02
#> [581] 2.586670e+02 2.595677e+02 2.604748e+02 2.613883e+02 2.623081e+02
#> [586] 2.632345e+02 2.639706e+02 2.643415e+02 2.647134e+02 2.650864e+02
#> [591] 2.654604e+02 2.658355e+02 2.662117e+02 2.665889e+02 2.669672e+02
#> [596] 2.673465e+02 2.677270e+02 2.681085e+02 2.684911e+02 2.688748e+02
#> [601] 2.692597e+02 2.696456e+02 2.700326e+02 2.704207e+02 2.708100e+02
#> [606] 2.712003e+02 2.715918e+02 2.719845e+02 2.723782e+02 2.727732e+02
#> [611] 2.731692e+02 2.735664e+02 2.739648e+02 2.743643e+02 2.747650e+02
#> [616] 2.751669e+02 2.755699e+02 2.759741e+02 2.763796e+02 2.767862e+02
#> [621] 2.771940e+02 2.776030e+02 2.780132e+02 2.784246e+02 2.788373e+02
#> [626] 2.792512e+02 2.796663e+02 2.800826e+02 2.805002e+02 2.809190e+02
#> [631] 2.813391e+02 2.817604e+02 2.821830e+02 2.826069e+02 2.830321e+02
#> [636] 2.834585e+02 2.838862e+02 2.843152e+02 2.847455e+02 2.851772e+02
#> [641] 2.856101e+02 2.860443e+02 2.864799e+02 2.869168e+02 2.873550e+02
#> [646] 2.877946e+02 2.882355e+02 2.886778e+02 2.891214e+02 2.895664e+02
#> [651] 2.900127e+02 2.904605e+02 2.909096e+02 2.913601e+02 2.918120e+02
#> [656] 2.922654e+02 2.927201e+02 2.931762e+02 2.936338e+02 2.940928e+02
#> [661] 2.945532e+02 2.950151e+02 2.954785e+02 2.959433e+02 2.964095e+02
#> [666] 2.968772e+02 2.973464e+02 2.978171e+02 2.982893e+02 2.987630e+02
#> [671] 2.992382e+02 2.997149e+02 3.001931e+02 3.006729e+02 3.011542e+02
#> [676] 3.016370e+02 3.021214e+02 3.026073e+02 3.030948e+02 3.035839e+02
#> [681] 3.040746e+02 3.045668e+02 3.050607e+02 3.055561e+02 3.060532e+02
#> [686] 3.065519e+02 3.070522e+02 3.075541e+02 3.080577e+02 3.085630e+02
#> [691] 3.090699e+02 3.095784e+02 3.100887e+02 3.106006e+02 3.111143e+02
#> [696] 3.116296e+02 3.121466e+02 3.126654e+02 3.131859e+02 3.137081e+02
#> [701] 3.142320e+02 3.147578e+02 3.152852e+02 3.158145e+02 3.163455e+02
#> [706] 3.168783e+02 3.174129e+02 3.179494e+02 3.184876e+02 3.190277e+02
#> [711] 3.195696e+02 3.201133e+02 3.206589e+02 3.212064e+02 3.217557e+02
#> [716] 3.223069e+02 3.228600e+02 3.234150e+02 3.239719e+02 3.245308e+02
#> [721] 3.250915e+02 3.256543e+02 3.262189e+02 3.267855e+02 3.273541e+02
#> [726] 3.279247e+02 3.284973e+02 3.290719e+02 3.296485e+02 3.302271e+02
#> [731] 3.308077e+02 3.313904e+02 3.319752e+02 3.325620e+02 3.331509e+02
#> [736] 3.337419e+02 3.343349e+02 3.349301e+02 3.355275e+02 3.361269e+02
#> [741] 3.367285e+02 3.373323e+02 3.379382e+02 3.385463e+02 3.391566e+02
#> [746] 3.397691e+02 3.403838e+02 3.410008e+02 3.416200e+02 3.422414e+02
#> [751] 3.428651e+02 3.434911e+02 3.441194e+02 3.447499e+02 3.453828e+02
#> [756] 3.460180e+02 3.466556e+02 3.472955e+02 3.479784e+02 3.488019e+02
#> [761] 3.496294e+02 3.504609e+02 3.512963e+02 3.521357e+02 3.529791e+02
#> [766] 3.538265e+02 3.546781e+02 3.555337e+02 3.563935e+02 3.572574e+02
#> [771] 3.581256e+02 3.589980e+02 3.598746e+02 3.607555e+02 3.616408e+02
#> [776] 3.625304e+02 3.634244e+02 3.643228e+02 3.652541e+02 3.661912e+02
#> [781] 3.671331e+02 3.680798e+02 3.690315e+02 3.699881e+02 3.709496e+02
#> [786] 3.719162e+02 3.728878e+02 3.738645e+02 3.748463e+02 3.758333e+02
#> [791] 3.768256e+02 3.778230e+02 3.788258e+02 3.798339e+02 3.808474e+02
#> [796] 3.818663e+02 3.828906e+02 3.839205e+02 3.849560e+02 3.859970e+02
#> [801] 3.870437e+02 3.880961e+02 3.891542e+02 3.902181e+02 3.912878e+02
#> [806] 3.923634e+02 3.934449e+02 3.945325e+02 3.956260e+02 3.967256e+02
#> [811] 3.978314e+02 3.989433e+02 4.000615e+02 4.011860e+02 4.023168e+02
#> [816] 4.034540e+02 4.045976e+02 4.057477e+02 4.069044e+02 4.080677e+02
#> [821] 4.092377e+02 4.104144e+02 4.115979e+02 4.127883e+02 4.139855e+02
#> [826] 4.151897e+02 4.164009e+02 4.176193e+02 4.188447e+02 4.200774e+02
#> [831] 4.213174e+02 4.225647e+02 4.238194e+02 4.250816e+02 4.263513e+02
#> [836] 4.276287e+02 4.289137e+02 4.302064e+02 4.315070e+02 4.328155e+02
#> [841] 4.341319e+02 4.354564e+02 4.367889e+02 4.381297e+02 4.394787e+02
#> [846] 4.408360e+02 4.422017e+02 4.435759e+02 4.449587e+02 4.463502e+02
#> [851] 4.477504e+02 4.491594e+02 4.505772e+02 4.520041e+02 4.534400e+02
#> [856] 4.548851e+02 4.563394e+02 4.578031e+02 4.592761e+02 4.607587e+02
#> [861] 4.622509e+02 4.637528e+02 4.652645e+02 4.667860e+02 4.683176e+02
#> [866] 4.698592e+02 4.714110e+02 4.729731e+02 4.745456e+02 4.761285e+02
#> [871] 4.777221e+02 4.793264e+02 4.809414e+02 4.825674e+02 4.842045e+02
#> [876] 4.858527e+02 4.875121e+02 4.891829e+02 4.908652e+02 4.925591e+02
#> [881] 4.942648e+02 4.959823e+02 4.977117e+02 4.994533e+02 5.012071e+02
#> [886] 5.029733e+02 5.047520e+02 5.065433e+02 5.083473e+02 5.101091e+02
#> [891] 5.105049e+02 5.109013e+02 5.112983e+02 5.116959e+02 5.120942e+02
#> [896] 5.124931e+02 5.128926e+02 5.132927e+02 5.136935e+02 5.140949e+02
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#> [1766] 9.584017e+02 9.590375e+02 9.596741e+02 9.603115e+02 9.609498e+02
#> [1771] 9.615890e+02 9.622290e+02 9.628699e+02 9.635116e+02 9.641541e+02
#> [1776] 9.647976e+02 9.654418e+02 9.660870e+02 9.667330e+02 9.673799e+02
#> [1781] 9.680276e+02 9.686762e+02 9.693257e+02 9.699760e+02 9.706273e+02
#> [1786] 9.712793e+02 9.719323e+02 9.725862e+02 9.732409e+02 9.738965e+02
#> [1791] 9.745530e+02 9.752104e+02 9.758687e+02 9.765278e+02 9.771879e+02
#> [1796] 9.778488e+02 9.785107e+02 9.791734e+02 9.798370e+02 9.805016e+02
#> [1801] 9.811670e+02 9.818333e+02 9.825006e+02 9.831687e+02 9.838378e+02
#> [1806] 9.845078e+02 9.851787e+02 9.858505e+02 9.865232e+02 9.871968e+02
#> [1811] 9.878714e+02 9.885468e+02 9.892233e+02 9.899006e+02 9.905788e+02
#> [1816] 9.912580e+02 9.919381e+02 9.926192e+02 9.933012e+02 9.939841e+02
#> [1821] 9.946680e+02 9.953528e+02 9.960386e+02 9.967253e+02 9.974129e+02
#> [1826] 9.981015e+02 9.987910e+02 9.994815e+02 1.000173e+03 1.000865e+03
#> [1831] 1.001559e+03 1.002253e+03 1.002948e+03 1.003645e+03 1.004342e+03
#> [1836] 1.005040e+03 1.005739e+03 1.006439e+03 1.007141e+03 1.007843e+03
#> [1841] 1.008546e+03 1.009250e+03 1.009955e+03 1.010661e+03 1.011368e+03
#> [1846] 1.012076e+03 1.012785e+03 1.013495e+03 1.014206e+03 1.014918e+03
#> [1851] 1.015631e+03 1.016345e+03 1.017060e+03 1.017776e+03 1.018493e+03
#> [1856] 1.019211e+03 1.019930e+03 1.020650e+03 1.021371e+03 1.022093e+03
#> [1861] 1.022816e+03 1.023540e+03 1.024265e+03 1.024992e+03 1.025719e+03
#> [1866] 1.026447e+03 1.027176e+03 1.027907e+03 1.028638e+03 1.029370e+03
#> [1871] 1.030104e+03 1.030838e+03 1.031574e+03 1.032311e+03 1.033048e+03
#> [1876] 1.033787e+03 1.034527e+03 1.035267e+03 1.036009e+03 1.036752e+03
#> [1881] 1.037496e+03 1.038241e+03 1.038987e+03 1.039735e+03 1.040483e+03
#> [1886] 1.041232e+03 1.041983e+03 1.042734e+03 1.043487e+03 1.044241e+03
#> [1891] 1.044995e+03 1.045751e+03 1.046508e+03 1.047266e+03 1.048026e+03
#> [1896] 1.048786e+03 1.049547e+03 1.050310e+03 1.051073e+03 1.051838e+03
#> [1901] 1.052604e+03 1.053371e+03 1.054139e+03 1.054908e+03 1.055678e+03
#> [1906] 1.056450e+03 1.057222e+03 1.057996e+03 1.058771e+03 1.059547e+03
#> [1911] 1.060324e+03 1.061102e+03 1.061882e+03 1.062662e+03 1.063444e+03
#> [1916] 1.064227e+03 1.065011e+03 1.065796e+03 1.066582e+03 1.067369e+03
#> [1921] 1.068158e+03 1.068948e+03 1.069739e+03 1.070531e+03 1.071324e+03
#> [1926] 1.072119e+03 1.072914e+03 1.073711e+03 1.074509e+03 1.075308e+03
#> [1931] 1.076109e+03 1.076910e+03 1.077713e+03 1.078517e+03 1.079322e+03
#> [1936] 1.080129e+03 1.080936e+03 1.081745e+03 1.082555e+03 1.083366e+03
#> [1941] 1.084179e+03 1.084992e+03 1.085807e+03 1.086623e+03 1.087441e+03
#> [1946] 1.088259e+03 1.089079e+03 1.089900e+03 1.090722e+03 1.091546e+03
#> [1951] 1.092371e+03 1.093139e+03 1.093621e+03 1.094103e+03 1.094586e+03
#> [1956] 1.095069e+03 1.095552e+03 1.096036e+03 1.096521e+03 1.097005e+03
#> [1961] 1.097491e+03 1.097976e+03 1.098462e+03 1.098949e+03 1.099436e+03
#> [1966] 1.099923e+03 1.100411e+03 1.100899e+03 1.101388e+03 1.101877e+03
#> [1971] 1.102367e+03 1.102857e+03 1.103347e+03 1.103838e+03 1.104329e+03
#> [1976] 1.104821e+03 1.105313e+03 1.105806e+03 1.106299e+03 1.106793e+03
#> [1981] 1.107286e+03 1.107781e+03 1.108276e+03 1.108771e+03 1.109267e+03
#> [1986] 1.109763e+03 1.110259e+03 1.110756e+03 1.111254e+03 1.111752e+03
#> [1991] 1.112250e+03 1.112749e+03 1.113248e+03 1.113748e+03 1.114248e+03
#> [1996] 1.114749e+03 1.115250e+03 1.115752e+03 1.116253e+03 1.116756e+03
#> [2001] 1.117259e+03 1.117762e+03 1.118266e+03 1.118770e+03 1.119275e+03
#> [2006] 1.119780e+03 1.120286e+03 1.120792e+03 1.121298e+03 1.121805e+03
#> [2011] 1.122313e+03 1.122821e+03 1.123329e+03 1.123838e+03 1.124347e+03
#> [2016] 1.124857e+03 1.125367e+03 1.125878e+03 1.126389e+03 1.126900e+03
#> [2021] 1.127412e+03 1.127925e+03 1.128438e+03 1.128951e+03 1.129465e+03
#> [2026] 1.129980e+03 1.130495e+03 1.131010e+03 1.131526e+03 1.132042e+03
#> [2031] 1.132559e+03 1.133076e+03 1.133594e+03 1.134112e+03 1.134630e+03
#> [2036] 1.135149e+03 1.135669e+03 1.136189e+03 1.136710e+03 1.137231e+03
#> [2041] 1.137752e+03 1.138274e+03 1.138797e+03 1.139320e+03 1.139843e+03
#> [2046] 1.140367e+03 1.140891e+03 1.141416e+03 1.141941e+03 1.142467e+03
#> [2051] 1.142994e+03 1.143520e+03 1.144048e+03 1.144575e+03 1.145104e+03
#> [2056] 1.145632e+03 1.146162e+03 1.146691e+03 1.147221e+03 1.147752e+03
#> [2061] 1.148283e+03 1.148815e+03 1.149347e+03 1.149880e+03 1.150413e+03
#> [2066] 1.150947e+03 1.151481e+03 1.152016e+03 1.152551e+03 1.153086e+03
#> [2071] 1.153622e+03 1.154159e+03 1.154696e+03 1.155234e+03 1.155772e+03
#> [2076] 1.156311e+03 1.156850e+03 1.157389e+03 1.157930e+03 1.158470e+03
#> [2081] 1.159011e+03 1.159553e+03 1.160095e+03 1.160638e+03 1.161181e+03
#> [2086] 1.161725e+03 1.162269e+03 1.162814e+03 1.163359e+03 1.163905e+03
#> [2091] 1.164451e+03 1.164998e+03 1.165545e+03 1.166093e+03 1.166641e+03
#> [2096] 1.167190e+03 1.167739e+03 1.168289e+03 1.168839e+03 1.169390e+03
#> [2101] 1.169942e+03 1.170494e+03 1.171046e+03 1.171599e+03 1.172153e+03
#> [2106] 1.172707e+03 1.173261e+03 1.173816e+03 1.174372e+03 1.174928e+03
#> [2111] 1.175485e+03 1.176042e+03 1.176599e+03 1.177158e+03 1.177716e+03
#> [2116] 1.178276e+03 1.178836e+03 1.179396e+03 1.179957e+03 1.180518e+03
#> [2121] 1.181080e+03 1.181643e+03 1.182206e+03 1.182769e+03 1.183333e+03
#> [2126] 1.183898e+03 1.184463e+03 1.185029e+03 1.185595e+03 1.186162e+03
#> [2131] 1.186729e+03 1.187297e+03 1.187866e+03 1.188435e+03 1.189004e+03
#> [2136] 1.189574e+03 1.190145e+03 1.190716e+03 1.191288e+03 1.191860e+03
#> [2141] 1.192433e+03 1.193006e+03 1.193580e+03 1.194155e+03 1.194730e+03
#> [2146] 1.195305e+03 1.195881e+03 1.196458e+03 1.197035e+03 1.197613e+03
#> [2151] 1.198191e+03 1.198770e+03 1.199350e+03 1.199930e+03 1.200510e+03
#> [2156] 1.201091e+03 1.201673e+03 1.202255e+03 1.202838e+03 1.203422e+03
#> [2161] 1.204006e+03 1.204590e+03 1.205175e+03 1.205761e+03 1.206347e+03
#> [2166] 1.206934e+03 1.207522e+03 1.208110e+03 1.208698e+03 1.209287e+03
#> [2171] 1.209877e+03 1.210467e+03 1.211058e+03 1.211649e+03 1.212241e+03
#> [2176] 1.212834e+03 1.213427e+03 1.214021e+03 1.214615e+03 1.215210e+03
#> [2181] 1.215806e+03 1.216402e+03 1.216998e+03 1.217595e+03 1.218193e+03
#> [2186] 1.218792e+03 1.219391e+03 1.219990e+03 1.220590e+03 1.221191e+03
#> [2191] 1.221793e+03 1.222395e+03 1.222997e+03 1.223600e+03 1.224204e+03
#> [2196] 1.224808e+03 1.225413e+03 1.226019e+03 1.226625e+03 1.227232e+03
#> [2201] 1.227839e+03 1.228447e+03 1.229055e+03 1.229664e+03 1.230274e+03
#> [2206] 1.230885e+03 1.231496e+03 1.232107e+03 1.232719e+03 1.233332e+03
#> [2211] 1.233945e+03 1.234559e+03 1.235174e+03 1.235789e+03 1.236405e+03
#> [2216] 1.237021e+03 1.237638e+03 1.238256e+03 1.238874e+03 1.239493e+03
#> [2221] 1.240113e+03 1.240733e+03 1.241354e+03 1.241975e+03 1.242597e+03
#> [2226] 1.243220e+03 1.243843e+03 1.244467e+03 1.245091e+03 1.245717e+03
#> [2231] 1.246342e+03 1.246969e+03 1.247596e+03 1.248223e+03 1.248852e+03
#> [2236] 1.249481e+03 1.250110e+03 1.250740e+03 1.251371e+03 1.252003e+03
#> [2241] 1.252635e+03 1.253267e+03 1.253901e+03 1.254535e+03 1.255169e+03
#> [2246] 1.255805e+03 1.256441e+03 1.257077e+03 1.257715e+03 1.258352e+03
#> [2251] 1.258991e+03 1.259630e+03 1.260270e+03 1.260910e+03 1.261551e+03
#> [2256] 1.262193e+03 1.262836e+03 1.263479e+03 1.264123e+03 1.264767e+03
#> [2261] 1.265412e+03 1.266058e+03 1.266704e+03 1.267351e+03 1.267999e+03
#> [2266] 1.268647e+03 1.269296e+03 1.269946e+03 1.270596e+03 1.271247e+03
#> [2271] 1.271899e+03 1.272551e+03 1.273204e+03 1.273858e+03 1.274512e+03
#> [2276] 1.275167e+03 1.275823e+03 1.276479e+03 1.277136e+03 1.277794e+03
#> [2281] 1.278453e+03 1.279112e+03 1.279771e+03 1.280432e+03 1.281093e+03
#> [2286] 1.281755e+03 1.282417e+03 1.283081e+03 1.283744e+03 1.284409e+03
#> [2291] 1.285074e+03 1.285740e+03 1.286407e+03 1.287074e+03 1.287742e+03
#> [2296] 1.288411e+03 1.289080e+03 1.289750e+03 1.290421e+03 1.291093e+03
#> [2301] 1.291765e+03 1.292438e+03 1.293111e+03 1.293786e+03 1.294461e+03
#> [2306] 1.295136e+03 1.295813e+03 1.296490e+03 1.297168e+03 1.297846e+03
#> [2311] 1.298525e+03 1.299205e+03 1.299886e+03 1.300567e+03 1.301249e+03
#> [2316] 1.301932e+03 1.302616e+03 1.303300e+03 1.303985e+03 1.304671e+03
#> [2321] 1.305357e+03 1.306044e+03 1.306732e+03 1.307421e+03 1.308110e+03
#> [2326] 1.308800e+03 1.309491e+03 1.310182e+03 1.310875e+03 1.311567e+03
#> [2331] 1.312261e+03 1.312956e+03 1.313651e+03 1.314347e+03 1.315043e+03
#> [2336] 1.315741e+03 1.316439e+03 1.317138e+03 1.317837e+03 1.318537e+03
#> [2341] 1.319239e+03 1.319940e+03 1.320643e+03 1.321346e+03 1.322050e+03
#> [2346] 1.322755e+03 1.323461e+03 1.324167e+03 1.324874e+03 1.325582e+03
#> [2351] 1.326291e+03 1.327000e+03 1.327710e+03 1.328421e+03 1.329133e+03
#> [2356] 1.329845e+03 1.330558e+03 1.331272e+03 1.331987e+03 1.332702e+03
#> [2361] 1.333418e+03 1.334135e+03 1.334853e+03 1.335572e+03 1.336291e+03
#> [2366] 1.337011e+03 1.337732e+03 1.338454e+03 1.339176e+03 1.339899e+03
#> [2371] 1.340623e+03 1.341348e+03 1.342074e+03 1.342800e+03 1.343527e+03
#> [2376] 1.344255e+03 1.344984e+03 1.345713e+03 1.346443e+03 1.347175e+03
#> [2381] 1.347906e+03 1.348639e+03 1.349373e+03 1.350107e+03 1.350842e+03
#> [2386] 1.351578e+03 1.352314e+03 1.353052e+03 1.353790e+03 1.354529e+03
#> [2391] 1.355269e+03 1.356010e+03 1.356751e+03 1.357494e+03 1.358237e+03
#> [2396] 1.358981e+03 1.359725e+03 1.360471e+03 1.361217e+03 1.361965e+03
#> [2401] 1.362713e+03 1.363462e+03 1.364211e+03 1.364962e+03 1.365713e+03
#> [2406] 1.366465e+03 1.367218e+03 1.367972e+03 1.368727e+03 1.369482e+03
#> [2411] 1.370238e+03 1.370996e+03 1.371754e+03 1.372512e+03 1.373272e+03
#> [2416] 1.374033e+03 1.374794e+03 1.375556e+03 1.376319e+03 1.377083e+03
#> [2421] 1.377848e+03 1.378613e+03 1.379380e+03 1.380147e+03 1.380915e+03
#> [2426] 1.381684e+03 1.382454e+03 1.383225e+03 1.383996e+03 1.384769e+03
#> [2431] 1.385542e+03 1.386316e+03 1.387091e+03 1.387867e+03 1.388644e+03
#> [2436] 1.389422e+03 1.390200e+03 1.390980e+03 1.391760e+03 1.392541e+03
#> [2441] 1.393323e+03 1.394106e+03 1.394890e+03 1.395674e+03 1.396460e+03
#> [2446] 1.397246e+03 1.398034e+03 1.398822e+03 1.399611e+03 1.400401e+03
#> [2451] 1.401192e+03 1.401983e+03 1.402776e+03 1.403570e+03 1.404364e+03
#> [2456] 1.405159e+03 1.405956e+03 1.406753e+03 1.407551e+03 1.408350e+03
#> [2461] 1.409150e+03 1.409951e+03 1.410752e+03 1.411555e+03 1.412358e+03
#> [2466] 1.413163e+03 1.413968e+03 1.414774e+03 1.415582e+03 1.416390e+03
#> [2471] 1.417199e+03 1.418009e+03 1.418820e+03 1.419631e+03 1.420444e+03
#> [2476] 1.421258e+03 1.422072e+03 1.422888e+03 1.423704e+03 1.424522e+03
#> [2481] 1.425340e+03 1.426159e+03 1.426980e+03 1.427801e+03 1.428623e+03
#> [2486] 1.429446e+03 1.430270e+03 1.431095e+03 1.431921e+03 1.432748e+03
#> [2491] 1.433576e+03 1.434404e+03 1.435234e+03 1.436065e+03 1.436897e+03
#> [2496] 1.437729e+03 1.438563e+03 1.439397e+03 1.440233e+03 1.441069e+03
#> [2501] 1.441907e+03 1.442745e+03 1.443585e+03 1.444425e+03 1.445267e+03
#> [2506] 1.446109e+03 1.446952e+03 1.447797e+03 1.448642e+03 1.449488e+03
#> [2511] 1.450336e+03 1.451184e+03 1.452033e+03 1.452883e+03 1.453735e+03
#> [2516] 1.454587e+03 1.455440e+03 1.456294e+03 1.457150e+03 1.458006e+03
#> [2521] 1.458863e+03 1.459722e+03 1.460581e+03 1.461441e+03 1.462303e+03
#> [2526] 1.463165e+03 1.464028e+03 1.464893e+03 1.465758e+03 1.466624e+03
#> [2531] 1.467492e+03 1.468360e+03 1.469230e+03 1.470100e+03 1.470972e+03
#> [2536] 1.471845e+03 1.472718e+03 1.473593e+03 1.474469e+03 1.475345e+03
#> [2541] 1.476223e+03 1.477102e+03 1.477982e+03 1.478863e+03 1.479745e+03
#> [2546] 1.480628e+03 1.481512e+03 1.482397e+03 1.483283e+03 1.484171e+03
#> [2551] 1.485059e+03 1.485948e+03 1.486839e+03 1.487730e+03 1.488623e+03
#> [2556] 1.489517e+03 1.490412e+03 1.491307e+03 1.492204e+03 1.493102e+03
#> [2561] 1.494001e+03 1.494901e+03 1.495803e+03 1.496705e+03 1.497608e+03
#> [2566] 1.498513e+03 1.499419e+03 1.500325e+03 1.501233e+03 1.502142e+03
#> [2571] 1.503052e+03 1.503963e+03 1.504875e+03 1.505789e+03 1.506703e+03
#> [2576] 1.507618e+03 1.508535e+03 1.509453e+03 1.510372e+03 1.511292e+03
#> [2581] 1.512213e+03 1.513135e+03 1.514058e+03 1.514983e+03 1.515909e+03
#> [2586] 1.516835e+03 1.517763e+03 1.518692e+03 1.519622e+03 1.520554e+03
#> [2591] 1.521486e+03 1.522420e+03 1.523354e+03 1.524290e+03 1.525227e+03
#> [2596] 1.526165e+03 1.527105e+03 1.528045e+03 1.528987e+03 1.529930e+03
#> [2601] 1.530874e+03 1.531819e+03 1.532765e+03 1.533713e+03 1.534661e+03
#> [2606] 1.535611e+03 1.536562e+03 1.537514e+03 1.538468e+03 1.539422e+03
#> [2611] 1.540378e+03 1.541335e+03 1.542293e+03 1.543252e+03 1.544213e+03
#> [2616] 1.545175e+03 1.546137e+03 1.547102e+03 1.548067e+03 1.549033e+03
#> [2621] 1.550001e+03 1.550970e+03 1.551940e+03 1.552911e+03 1.553884e+03
#> [2626] 1.554858e+03 1.555833e+03 1.556809e+03 1.557786e+03 1.558765e+03
#> [2631] 1.559745e+03 1.560726e+03 1.561709e+03 1.562692e+03 1.563677e+03
#> [2636] 1.564663e+03 1.565650e+03 1.566639e+03 1.567629e+03 1.568620e+03
#> [2641] 1.569612e+03 1.570606e+03 1.571601e+03 1.572597e+03 1.573594e+03
#> [2646] 1.574593e+03 1.575593e+03 1.576594e+03 1.577597e+03 1.578600e+03
#> [2651] 1.579605e+03 1.580612e+03 1.581619e+03 1.582628e+03 1.583638e+03
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#> [3521] 3.540804e+03 3.545864e+03 3.550939e+03 3.556028e+03 3.561132e+03
#> [3526] 3.566251e+03 3.571384e+03 3.576532e+03 3.581695e+03 3.586873e+03
#> [3531] 3.592066e+03 3.597274e+03 3.602497e+03 3.607735e+03 3.612989e+03
#> [3536] 3.618258e+03 3.623542e+03 3.628842e+03 3.634157e+03 3.639488e+03
#> [3541] 3.644834e+03 3.650197e+03 3.655575e+03 3.660968e+03 3.666378e+03
#> [3546] 3.671804e+03 3.677246e+03 3.682704e+03 3.688179e+03 3.693669e+03
#> [3551] 3.699176e+03 3.704700e+03 3.710240e+03 3.715796e+03 3.721369e+03
#> [3556] 3.726959e+03 3.732566e+03 3.738190e+03 3.743830e+03 3.749488e+03
#> [3561] 3.755163e+03 3.760855e+03 3.766564e+03 3.772291e+03 3.778035e+03
#> [3566] 3.783797e+03 3.789576e+03 3.795373e+03 3.801188e+03 3.807020e+03
#> [3571] 3.812870e+03 3.818739e+03 3.824626e+03 3.830530e+03 3.836453e+03
#> [3576] 3.842395e+03 3.848354e+03 3.854333e+03 3.860329e+03 3.866345e+03
#> [3581] 3.872379e+03 3.878433e+03 3.884505e+03 3.890596e+03 3.896706e+03
#> [3586] 3.902836e+03 3.908985e+03 3.915153e+03 3.921341e+03 3.927548e+03
#> [3591] 3.933775e+03 3.940022e+03 3.946289e+03 3.952575e+03 3.958882e+03
#> [3596] 3.965209e+03 3.971556e+03 3.977924e+03 3.984312e+03 3.990720e+03
#> [3601] 3.997149e+03 4.003599e+03 4.010070e+03 4.016562e+03 4.023074e+03
#> [3606] 4.029608e+03 4.036164e+03 4.042740e+03 4.049338e+03 4.055958e+03
#> [3611] 4.062599e+03 4.069262e+03 4.075947e+03 4.082654e+03 4.089383e+03
#> [3616] 4.096134e+03 4.102908e+03 4.109704e+03 4.116522e+03 4.123363e+03
#> [3621] 4.130227e+03 4.137114e+03 4.144024e+03 4.150957e+03 4.157913e+03
#> [3626] 4.164893e+03 4.171896e+03 4.178923e+03 4.185973e+03 4.193047e+03
#> [3631] 4.200146e+03 4.207268e+03 4.214414e+03 4.221585e+03 4.228780e+03
#> [3636] 4.236000e+03 4.243244e+03 4.250514e+03 4.257808e+03 4.265127e+03
#> [3641] 4.272472e+03 4.279842e+03 4.287237e+03 4.294658e+03 4.302104e+03
#> [3646] 4.309577e+03 4.317075e+03 4.324600e+03 4.332151e+03 4.339728e+03
#> [3651] 4.347332e+03 4.354963e+03 4.362620e+03 4.370305e+03 4.378016e+03
#> [3656] 4.385755e+03 4.393521e+03 4.401315e+03 4.409137e+03 4.416986e+03
#> [3661] 4.424863e+03 4.432769e+03 4.440702e+03 4.448665e+03 4.456655e+03
#> [3666] 4.464675e+03 4.472723e+03 4.480801e+03 4.488908e+03 4.497044e+03
#> [3671] 4.505210e+03 4.513405e+03 4.521630e+03 4.529886e+03 4.538171e+03
#> [3676] 4.546487e+03 4.554834e+03 4.563211e+03 4.571619e+03 4.580058e+03
#> [3681] 4.588528e+03 4.597030e+03 4.605563e+03 4.614128e+03 4.622725e+03
#> [3686] 4.631354e+03 4.640015e+03 4.648708e+03 4.657435e+03 4.666194e+03
#> [3691] 4.674986e+03 4.683811e+03 4.692670e+03 4.701562e+03 4.710488e+03
#> [3696] 4.719448e+03 4.728443e+03 4.737471e+03 4.746534e+03 4.755632e+03
#> [3701] 4.764765e+03 4.773933e+03 4.783136e+03 4.792375e+03 4.801649e+03
#> [3706] 4.810960e+03 4.820306e+03 4.829690e+03 4.839109e+03 4.848566e+03
#> [3711] 4.858059e+03 4.867590e+03 4.877158e+03 4.886764e+03 4.896408e+03
#> [3716] 4.906090e+03 4.915810e+03 4.925569e+03 4.935367e+03 4.945204e+03
#> [3721] 4.955080e+03 4.964996e+03 4.974951e+03 4.984947e+03 4.994982e+03
#> [3726] 5.005059e+03 5.015175e+03 5.025333e+03 5.035532e+03 5.045773e+03
#> [3731] 5.056055e+03 5.066380e+03 5.076746e+03 5.087155e+03 5.097607e+03
#> [3736] 5.108102e+03 5.118640e+03 5.129222e+03 5.139848e+03 5.150517e+03
#> [3741] 5.161231e+03 5.171990e+03 5.182794e+03 5.193643e+03 5.204537e+03
#> [3746] 5.215478e+03 5.226464e+03 5.237497e+03 5.248576e+03 5.259702e+03
#> [3751] 5.270876e+03 5.282097e+03 5.293367e+03 5.304684e+03 5.316050e+03
#> [3756] 5.327464e+03 5.338928e+03 5.350441e+03 5.362004e+03 5.373617e+03
#> [3761] 5.385281e+03 5.396995e+03 5.408760e+03 5.420577e+03 5.432445e+03
#> [3766] 5.444366e+03 5.456339e+03 5.468364e+03 5.480443e+03 5.492575e+03
#> [3771] 5.504762e+03 5.517002e+03 5.529297e+03 5.541647e+03 5.554052e+03
#> [3776] 5.566513e+03 5.579029e+03 5.591603e+03 5.604233e+03 5.616920e+03
#> [3781] 5.629665e+03 5.642467e+03 5.655328e+03 5.668248e+03 5.681227e+03
#> [3786] 5.694266e+03 5.707365e+03 5.720524e+03 5.733743e+03 5.747025e+03
#> [3791] 5.760367e+03 5.773772e+03 5.787240e+03 5.800770e+03 5.814364e+03
#> [3796] 5.828021e+03 5.841743e+03 5.855530e+03 5.869382e+03 5.883299e+03
#> [3801] 5.897283e+03 5.911334e+03 5.925451e+03 5.939636e+03 5.953890e+03
#> [3806] 5.968211e+03 5.982602e+03 5.997063e+03 6.011593e+03 6.026194e+03
#> [3811] 6.040866e+03 6.055610e+03 6.070426e+03 6.085315e+03 6.100276e+03
#> [3816] 6.115312e+03 6.130422e+03 6.145607e+03 6.160867e+03 6.176203e+03
#> [3821] 6.191615e+03 6.207105e+03 6.222673e+03 6.238318e+03 6.254043e+03
#> [3826] 6.269847e+03 6.285731e+03 6.301696e+03 6.317742e+03 6.333870e+03
#> [3831] 6.350081e+03 6.366375e+03 6.382753e+03 6.399215e+03 6.415762e+03
#> [3836] 6.432395e+03 6.449115e+03 6.465921e+03 6.482816e+03 6.499799e+03
#> [3841] 6.516871e+03 6.534033e+03 6.551286e+03 6.568630e+03 6.586067e+03
#> [3846] 6.603596e+03 6.621218e+03 6.638935e+03 6.656747e+03 6.674655e+03
#> [3851] 6.692659e+03 6.710761e+03 6.728961e+03 6.747260e+03 6.765659e+03
#> [3856] 6.784158e+03 6.802759e+03 6.821462e+03 6.840269e+03 6.859179e+03
#> [3861] 6.878194e+03 6.897315e+03 6.916542e+03 6.935877e+03 6.955320e+03
#> [3866] 6.974873e+03 6.994536e+03 7.014310e+03 7.034196e+03 7.054195e+03
#> [3871] 7.074309e+03 7.094537e+03 7.114881e+03 7.135343e+03 7.155922e+03
#> [3876] 7.176621e+03 7.197439e+03 7.218379e+03 7.239441e+03 7.260626e+03
#> [3881] 7.281935e+03 7.303370e+03 7.324932e+03 7.346621e+03 7.368439e+03
#> [3886] 7.390387e+03 7.412466e+03 7.434677e+03 7.457022e+03 7.479502e+03
#> [3891] 7.502118e+03 7.524870e+03 7.547762e+03 7.570792e+03 7.593964e+03
#> [3896] 7.617279e+03 7.640736e+03 7.664339e+03 7.688088e+03 7.711985e+03
#> [3901] 7.736030e+03 7.760226e+03 7.784574e+03 7.809075e+03 7.833731e+03
#> [3906] 7.858543e+03 7.883513e+03 7.908642e+03 7.933931e+03 7.959383e+03
#> [3911] 7.984999e+03 8.010780e+03 8.036728e+03 8.062845e+03 8.089132e+03
#> [3916] 8.115591e+03 8.142224e+03 8.169032e+03 8.196017e+03 8.223181e+03
#> [3921] 8.250526e+03 8.278053e+03 8.305764e+03 8.333662e+03 8.361748e+03
#> [3926] 8.390023e+03 8.418491e+03 8.447152e+03 8.476009e+03 8.505064e+03
#> [3931] 8.534319e+03 8.563776e+03 8.593437e+03 8.623304e+03 8.653379e+03
#> [3936] 8.683665e+03 8.714164e+03 8.744878e+03 8.775809e+03 8.806959e+03
#> [3941] 8.838331e+03 8.869928e+03 8.901752e+03 8.933804e+03 8.966089e+03
#> [3946] 8.998607e+03 9.031362e+03 9.064357e+03 9.097593e+03 9.131074e+03
#> [3951] 9.164803e+03 9.198782e+03 9.233013e+03 9.267500e+03 9.302246e+03
#> [3956] 9.337253e+03 9.372525e+03 9.408064e+03 9.443874e+03 9.479958e+03
#> [3961] 9.516318e+03 9.552958e+03 9.589882e+03 9.627092e+03 9.664592e+03
#> [3966] 9.702385e+03 9.740475e+03 9.778865e+03 9.817559e+03 9.856561e+03
#> [3971] 9.895873e+03 9.935501e+03 9.975447e+03 1.001572e+04 1.005631e+04
#> [3976] 1.009724e+04 1.013850e+04 1.018009e+04 1.022204e+04 1.026432e+04
#> [3981] 1.030696e+04 1.034996e+04 1.039331e+04 1.043703e+04 1.048112e+04
#> [3986] 1.052559e+04 1.057043e+04 1.061566e+04 1.066127e+04 1.070728e+04
#> [3991] 1.075369e+04 1.080050e+04 1.084772e+04 1.089536e+04 1.094341e+04
#> [3996] 1.099189e+04 1.104081e+04 1.109016e+04 1.113995e+04 1.119019e+04
#> [4001] 1.124089e+04 1.129205e+04 1.134368e+04 1.139578e+04 1.144836e+04
#> [4006] 1.150143e+04 1.155499e+04 1.160906e+04 1.166363e+04 1.171872e+04
#> [4011] 1.177433e+04 1.183048e+04 1.188716e+04 1.194438e+04 1.200216e+04
#> [4016] 1.206050e+04 1.211942e+04 1.217891e+04 1.223898e+04 1.229965e+04
#> [4021] 1.236093e+04 1.242282e+04 1.248533e+04 1.254848e+04 1.261227e+04
#> [4026] 1.267671e+04 1.274181e+04 1.280758e+04 1.287404e+04 1.294119e+04
#> [4031] 1.300904e+04 1.307761e+04 1.314690e+04 1.321694e+04 1.328772e+04
#> [4036] 1.335927e+04 1.343159e+04 1.350470e+04 1.357860e+04 1.365333e+04
#> [4041] 1.372887e+04 1.380526e+04 1.388251e+04 1.396062e+04 1.403962e+04
#> [4046] 1.411951e+04 1.420032e+04 1.428207e+04 1.436475e+04 1.444840e+04
#> [4051] 1.453304e+04 1.461866e+04 1.470531e+04 1.479298e+04 1.488171e+04
#> [4056] 1.497151e+04 1.506240e+04 1.515440e+04 1.524753e+04 1.534181e+04
#> [4061] 1.543726e+04 1.553391e+04 1.563178e+04 1.573089e+04 1.583127e+04
#> [4066] 1.593293e+04 1.603591e+04 1.614022e+04 1.624591e+04 1.635298e+04
#> [4071] 1.646148e+04 1.657143e+04 1.668285e+04 1.679578e+04 1.691026e+04
#> [4076] 1.702630e+04 1.714395e+04 1.726323e+04 1.738419e+04 1.750685e+04
#> [4081] 1.763126e+04 1.775745e+04 1.788545e+04 1.801532e+04 1.814708e+04
#> [4086] 1.828079e+04 1.841648e+04 1.855420e+04 1.869400e+04 1.883592e+04
#> [4091] 1.898001e+04 1.912632e+04 1.927491e+04 1.942582e+04 1.957911e+04
#> [4096] 1.973484e+04 1.989307e+04 2.005386e+04 2.021727e+04 2.038336e+04
#> [4101] 2.055220e+04 2.072387e+04 2.089843e+04 2.107595e+04 2.125651e+04
#> [4106] 2.144020e+04 2.162708e+04 2.181726e+04 2.201080e+04 2.220782e+04
#> [4111] 2.240839e+04 2.261262e+04 2.282060e+04 2.303244e+04 2.324826e+04
#> [4116] 2.346816e+04 2.369226e+04 2.392067e+04 2.415354e+04 2.439098e+04
#> [4121] 2.463314e+04 2.488016e+04 2.513218e+04 2.538936e+04 2.565185e+04
#> [4126] 2.591983e+04 2.619347e+04 2.647295e+04 2.675846e+04 2.705019e+04
#> [4131] 2.734835e+04 2.765316e+04 2.796484e+04 2.828362e+04 2.860976e+04
#> [4136] 2.894351e+04 2.928514e+04 2.963492e+04 2.999316e+04 3.036018e+04
#> [4141] 3.073628e+04 3.112182e+04 3.151715e+04 3.192266e+04 3.233873e+04
#> [4146] 3.276580e+04 3.320430e+04 3.365469e+04 3.411747e+04 3.459316e+04
#> [4151] 3.508229e+04 3.558546e+04 3.610327e+04 3.663637e+04 3.718546e+04
#> [4156] 3.775125e+04 3.833452e+04 3.893610e+04 3.955687e+04 4.019774e+04
#> [4161] 4.085973e+04 4.154389e+04 4.225134e+04 4.298331e+04 4.374109e+04
#> [4166] 4.452606e+04 4.533972e+04 4.618368e+04 4.705965e+04 4.796949e+04
#> [4171] 4.891521e+04 4.989896e+04 5.092310e+04 5.199016e+04 5.310289e+04
#> [4176] 5.426430e+04 5.547764e+04 5.674649e+04 5.807473e+04 5.946665e+04
#> [4181] 6.092692e+04 6.246072e+04 6.407373e+04 6.577227e+04 6.756331e+04
#> [4186] 6.945463e+04 7.145488e+04 7.357376e+04 7.582215e+04 7.821228e+04
#> [4191] 8.075802e+04 8.347504e+04 8.638126e+04 8.949714e+04 9.284622e+04
#> [4196] 9.645569e+04 1.003572e+05 1.045875e+05 1.091903e+05 1.142168e+05
#> [4201] 1.197284e+05 1.257989e+05 1.325179e+05 1.399951e+05 1.483665e+05
#> [4206] 1.578029e+05 1.685210e+05 1.808013e+05 1.950120e+05 2.116471e+05
#> [4211] 2.313849e+05 2.551828e+05 2.844370e+05 3.212673e+05 3.690541e+05
#> [4216] 4.335411e+05 5.253362e+05 6.664448e+05 9.111983e+05 1.440066e+06
#> [4221] 3.432073e+06 NA
#>
#> $Con_Prob_Est
#> [1] 0.8664858
#>