R version 2.13.0 (2011-04-13) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(29975,29124,29704,29564,30550,29812,30611,30577,30637,30944,30852,31216,31113,32073,31447,32293,31807,31778,31707,32135,31929,32923,33181,33435,34721,35179,35605,35931,35093,35053,35092,35295,35981,35606,35815,36144,36391,35642,36896,36399,38385,38226,38609,38227,38254,38047,38437,37963,38231,38283,38839,38833,39431,40091,40289,39433,38677,38107,38485,38464) > 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* 34892.35 -16.6757 1271.899 t2* 35450.00 -413.7000 2141.602 > z <- data.frame(cbind(r$t[,1],r$t[,2])) > colnames(z) <- list('mean','median') > postscript(file="/var/wessaorg/rcomp/tmp/1wa6x1321391437.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,] 31760.87 30594 [2,] 34032.95 33052 [3,] 34843.95 35421 [4,] 35805.69 36391 [5,] 38349.72 38485 $n [1] 500 500 $conf [,1] [,2] [1,] 34718.69 35185.07 [2,] 34969.21 35656.93 $out [1] 31328 $group [1] 1 $names [1] "mean" "median" > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'statistic',header=TRUE) > a<-table.element(a,'Q1',header=TRUE) > a<-table.element(a,'Estimate',header=TRUE) > a<-table.element(a,'Q3',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'IQR',header=TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'mean',header=TRUE) > q1 <- quantile(r$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$t[,2]))) > a<-table.element(a,q3-q1) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2uizm1321391437.tab") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'95% Confidence Intervals',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'',1,TRUE) > a<-table.element(a,'Mean',1,TRUE) > a<-table.element(a,'Median',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Lower Bound',1,TRUE) > a<-table.element(a,b$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/wessaorg/rcomp/tmp/30km81321391437.tab") > > try(system("convert tmp/1wa6x1321391437.ps tmp/1wa6x1321391437.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.868 0.094 0.952