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Data:
71.97 72.32 74.07 77.95 81.75 80.81 74.1 71.37 75.21 76.9 74.44 74.76 76.23 76.97 78.4 78.6 80.08 81.12 80.31 84.59 81.34 80.95 80.48 75.26 76.32 78.92 80.47 83.14 85.42 81.53 87.31 86.01 85.1 79.91 78.6 78.6 79.37 82.89 84.43 85.32 87.71 84.68 80.62 84.79 85.49 81.68 77.69 78.31 79.18 80.91 83.91 86.3 89.76 85.11 83.81 85.36 85.89 82.59 80.87 80.27 81.36 84.81 90.3 95.43 97.59 97.8 99.48 97.52 104.39 97.74 91.37 92.42 96.9 101.58 105.46 110.06 107.9 102.87 96.28 98.59 103.22 98.6 91.79 93.83 95.17 95.19 99.44 109.18 109.15 109.72 108.41 102.96 107.64 97.28 97.25 91.84 94.12 97.86 98.83 102.29 104.49 102.11 102.14 101.28 101.21 94.2 88.47 88.08 88.02 92.95 97.05 101.44 100.34 99.98 94.17 94.54 95.12 98.04 93.72 93.83 93.03 95.81 99.1 100.12 100.67 103.87 102.39 107.21 105.71 99.79 96.12 96.17 97.23 98.08 99.84 99.72 99.92 102.7 102.06 102.36 102.43 100.6 98.4 98.61 103.03 104.7 107.45 109.67 110.54 112.05 113.19 114.2 112.56 107.36 103.93 103.83 104.74 107.5 109.53 109.42 108.6 110.72 105.1 105.19 102.55 101.25 101.56 101.62 101.7 102.94 104.37 106.93 107.82 110.83 106.86 109.46 108.8 108.69 107.77 108.64 108.5 113.84 114.59 116.27 113.63 112.29 110.31 108.47 110.67 109.1 107.02 108.12 106.69 109.87 110.82 114.14 113.31 115.16 111.06 111.13 115.96 117.57 114.69 119.42 118.4 123.32 123.39 127.04 129.35 127.12 122.1 120.22 121.53 119.01 114.27 114.46
# simulations
blockwidth of bootstrap
Significant digits
Quantiles
P1 P5 Q1 Q3 P95 P99
P0.5 P2.5 Q1 Q3 P97.5 P99.5
P10 P20 Q1 Q3 P80 P90
bandwidth
Chart options
R Code
par2 <- '12' par1 <- '750' par1 <- as.numeric(par1) par2 <- as.numeric(par2) if (par1 < 10) par1 = 10 if (par1 > 5000) par1 = 5000 if (par2 < 3) par2 = 3 if (par2 > length(x)) par2 = length(x) library(lattice) library(boot) boot.stat <- function(s) { s.mean <- mean(s) s.median <- median(s) s.midrange <- (max(s) + min(s)) / 2 c(s.mean, s.median, s.midrange) } (r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed')) bitmap(file='plot1.png') plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') grid() dev.off() bitmap(file='plot2.png') plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') grid() dev.off() bitmap(file='plot3.png') plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') grid() dev.off() bitmap(file='plot4.png') densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') dev.off() bitmap(file='plot5.png') densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') dev.off() bitmap(file='plot6.png') densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange') dev.off() z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3])) colnames(z) <- list('mean','median','midrange') bitmap(file='plot7.png') boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'statistic',header=TRUE) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,'Estimate',header=TRUE) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,'IQR',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) q1 <- quantile(r$t[,1],0.25)[[1]] q3 <- quantile(r$t[,1],0.75)[[1]] a<-table.element(a,q1) a<-table.element(a,r$t0[1]) a<-table.element(a,q3) a<-table.element(a,sqrt(var(r$t[,1]))) a<-table.element(a,q3-q1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) q1 <- quantile(r$t[,2],0.25)[[1]] q3 <- quantile(r$t[,2],0.75)[[1]] a<-table.element(a,q1) a<-table.element(a,r$t0[2]) a<-table.element(a,q3) a<-table.element(a,sqrt(var(r$t[,2]))) a<-table.element(a,q3-q1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'midrange',header=TRUE) q1 <- quantile(r$t[,3],0.25)[[1]] q3 <- quantile(r$t[,3],0.75)[[1]] a<-table.element(a,q1) a<-table.element(a,r$t0[3]) a<-table.element(a,q3) a<-table.element(a,sqrt(var(r$t[,3]))) a<-table.element(a,q3-q1) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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