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Type 'q()' to quit R. > x <- c(80,111,122,131,192,188,216,238,173,160,93,67,60,32,126,131,134,162,230,232,200,143,85,66,54,81,100,126,204,218,227,220,220,120,110,67,81,52,106,156,187,204,204,196,204,124,53,77,77,50,105,125,165,194,263,225,263,140,127,86,71,95,95,133,178,160,250,251,250,173,103,21,29,39,71,148,144,199,206,224,206,152,88,35,23,92,117,120,173,202,217,256,217,143,95,77,76,100,108,132,195,198,204,212,204,129,73,77,80,64,109,138,185,198,237,223,237,146,102,77,70,86,98,141,195,205,191,226,191,147,100,74,56,77,80,120,186,196,229,229,229,176,104,61,72,99,113,140,174,209,205,229,215,136,113,57,55,66,125,149,176,230,238,245,238,124,111,72,63,78,100,149,166,201,214,231,214,151,97,68,81,55,99,146,170,218,218,207,218,178,105,67,47,55,73,124,185,213,278,205,278,171,125,92,96,92,118,185,183,215,207,214,207,142,102,66,87,90,90,133,205,201,220,210,220,136,95,52,40,60,100,169,184,202,226,239,226,149,121,50) > par2 = '12' > par1 = '500' > 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) Attaching package: 'boot' The following object(s) are masked from 'package:lattice': melanoma > boot.stat <- function(s) + { + s.mean <- mean(s) + s.median <- median(s) + c(s.mean, s.median) + } > (r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed')) BLOCK BOOTSTRAP FOR TIME SERIES Fixed Block Length of 12 Call: tsboot(tseries = x, statistic = boot.stat, R = par1, l = 12, sim = "fixed") Bootstrap Statistics : original bias std. error t1* 145.2917 0.0429 1.695415 t2* 140.5000 0.2000 2.790443 > z <- data.frame(cbind(r$t[,1],r$t[,2])) Warning message: In data.row.names(row.names, rowsi, i) : some row.names duplicated: 2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271 [... truncated] > colnames(z) <- list('mean','median') > postscript(file="/var/www/rcomp/tmp/14ecc1321545818.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > b <- boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency') > grid() > dev.off() null device 1 > b $stats [,1] [,2] [1,] 140.9917 134.0 [2,] 144.2500 139.0 [3,] 145.3417 140.5 [4,] 146.4542 142.5 [5,] 149.7083 147.5 $n [1] 500 500 $conf [,1] [,2] [1,] 145.1859 140.2527 [2,] 145.4974 140.7473 $out [1] 140.9375 150.4042 149.8792 140.0083 133.5000 132.0000 148.5000 131.0000 [9] 133.0000 $group [1] 1 1 1 1 2 2 2 2 2 $names [1] "mean" "median" > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'statistic',header=TRUE) > a<-table.element(a,'Q1',header=TRUE) > a<-table.element(a,'Estimate',header=TRUE) > a<-table.element(a,'Q3',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'IQR',header=TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'mean',header=TRUE) > q1 <- quantile(r$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$t[,2]))) > a<-table.element(a,q3-q1) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/2h1e11321545818.tab") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'95% Confidence Intervals',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'',1,TRUE) > a<-table.element(a,'Mean',1,TRUE) > a<-table.element(a,'Median',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Lower Bound',1,TRUE) > a<-table.element(a,b$conf[1,1]) > a<-table.element(a,b$conf[1,2]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Upper Bound',1,TRUE) > a<-table.element(a,b$conf[2,1]) > a<-table.element(a,b$conf[2,2]) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/3fz8k1321545818.tab") > > try(system("convert tmp/14ecc1321545818.ps tmp/14ecc1321545818.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.100 0.070 1.147