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Type 'q()' to quit R. > x <- c(87.28 + ,87.28 + ,87.09 + ,86.92 + ,87.59 + ,90.72 + ,90.69 + ,90.3 + ,89.55 + ,88.94 + ,88.41 + ,87.82 + ,87.07 + ,86.82 + ,86.4 + ,86.02 + ,85.66 + ,85.32 + ,85 + ,84.67 + ,83.94 + ,82.83 + ,81.95 + ,81.19 + ,80.48 + ,78.86 + ,69.47 + ,68.77 + ,70.06 + ,73.95 + ,75.8 + ,77.79 + ,81.57 + ,83.07 + ,84.34 + ,85.1 + ,85.25 + ,84.26 + ,83.63 + ,86.44 + ,85.3 + ,84.1 + ,83.36 + ,82.48 + ,81.58 + ,80.47 + ,79.34 + ,82.13 + ,81.69 + ,80.7 + ,79.88 + ,79.16 + ,78.38 + ,77.42 + ,76.47 + ,75.46 + ,74.48 + ,78.27 + ,80.7 + ,79.91 + ,78.75 + ,77.78 + ,81.14 + ,81.08 + ,80.03 + ,78.91 + ,78.01 + ,76.9 + ,75.97 + ,81.93 + ,80.27 + ,78.67 + ,77.42 + ,76.16 + ,74.7 + ,76.39 + ,76.04 + ,74.65 + ,73.29 + ,71.79 + ,74.39 + ,74.91 + ,74.54 + ,73.08 + ,72.75 + ,71.32 + ,70.38 + ,70.35 + ,70.01 + ,69.36 + ,67.77 + ,69.26 + ,69.8 + ,68.38 + ,67.62 + ,68.39 + ,66.95 + ,65.21 + ,66.64 + ,63.45 + ,60.66 + ,62.34 + ,60.32 + ,58.64 + ,60.46 + ,58.59 + ,61.87 + ,61.85 + ,67.44 + ,77.06 + ,91.74 + ,93.15 + ,94.15 + ,93.11 + ,91.51 + ,89.96 + ,88.16 + ,86.98 + ,88.03 + ,86.24 + ,84.65 + ,83.23 + ,81.7 + ,80.25 + ,78.8 + ,77.51 + ,76.2 + ,75.04 + ,74 + ,75.49 + ,77.14 + ,76.15 + ,76.27 + ,78.19 + ,76.49 + ,77.31 + ,76.65 + ,74.99 + ,73.51 + ,72.07 + ,70.59 + ,71.96 + ,76.29 + ,74.86 + ,74.93 + ,71.9 + ,71.01 + ,77.47 + ,75.78 + ,76.6 + ,76.07 + ,74.57 + ,73.02 + ,72.65 + ,73.16 + ,71.53 + ,69.78 + ,67.98 + ,69.96 + ,72.16 + ,70.47 + ,68.86 + ,67.37 + ,65.87 + ,72.16 + ,71.34 + ,69.93 + ,68.44 + ,67.16 + ,66.01 + ,67.25 + ,70.91 + ,69.75 + ,68.59 + ,67.48 + ,66.31 + ,64.81 + ,66.58 + ,65.97 + ,64.7 + ,64.7 + ,60.94 + ,59.08 + ,58.42 + ,57.77 + ,57.11 + ,53.31 + ,49.96 + ,49.4 + ,48.84 + ,48.3 + ,47.74 + ,47.24 + ,46.76 + ,46.29 + ,48.9 + ,49.23 + ,48.53 + ,48.03 + ,54.34 + ,53.79 + ,53.24 + ,52.96 + ,52.17 + ,51.7 + ,58.55 + ,78.2 + ,77.03 + ,76.19 + ,77.15 + ,75.87 + ,95.47 + ,109.67 + ,112.28 + ,112.01 + ,107.93 + ,105.96 + ,105.06 + ,102.98 + ,102.2 + ,105.23 + ,101.85 + ,99.89 + ,96.23 + ,94.76 + ,91.51 + ,91.63 + ,91.54 + ,85.23 + ,87.83 + ,87.38 + ,84.44 + ,85.19 + ,84.03 + ,86.73 + ,102.52 + ,104.45 + ,106.98 + ,107.02 + ,99.26 + ,94.45 + ,113.44 + ,157.33 + ,147.38 + ,171.89 + ,171.95 + ,132.71 + ,126.02 + ,121.18 + ,115.45 + ,110.48 + ,117.85 + ,117.63 + ,124.65 + ,109.59 + ,111.27 + ,99.78 + ,98.21 + ,99.2 + ,97.97 + ,89.55 + ,87.91 + ,93.34 + ,94.42 + ,93.2 + ,90.29 + ,91.46 + ,89.98 + ,88.35 + ,88.41 + ,82.44 + ,79.89 + ,75.69 + ,75.66 + ,84.5 + ,96.73 + ,87.48 + ,82.39 + ,83.48 + ,79.31 + ,78.16 + ,72.77 + ,72.45 + ,68.46 + ,67.62 + ,68.76 + ,70.07 + ,68.55 + ,65.3 + ,58.96 + ,59.17 + ,62.37 + ,66.28 + ,55.62 + ,55.23 + ,55.85 + ,56.75 + ,50.89 + ,53.88 + ,52.95 + ,55.08 + ,53.61 + ,58.78 + ,61.85 + ,55.91 + ,53.32 + ,46.41 + ,44.57 + ,50 + ,50 + ,53.36 + ,46.23 + ,50.45 + ,49.07 + ,45.85 + ,48.45 + ,49.96 + ,46.53 + ,50.51 + ,47.58 + ,48.05 + ,46.84 + ,47.67 + ,49.16 + ,55.54 + ,55.82 + ,58.22 + ,56.19 + ,57.77 + ,63.19 + ,54.76 + ,55.74 + ,62.54 + ,61.39 + ,69.6 + ,79.23 + ,80 + ,93.68 + ,107.63 + ,100.18 + ,97.3 + ,90.45 + ,80.64 + ,80.58 + ,75.82 + ,85.59 + ,89.35 + ,89.42 + ,104.73 + ,95.32 + ,89.27 + ,90.44 + ,86.97 + ,79.98 + ,81.22 + ,87.35 + ,83.64 + ,82.22 + ,94.4 + ,102.18) > par20 = '' > par19 = '' > par18 = '' > par17 = '' > par16 = '' > par15 = '' > par14 = '' > par13 = '' > par12 = '' > par11 = '' > par10 = '' > par9 = '' > par8 = '' > par7 = '' > par6 = '' > par5 = '' > par4 = '' > par3 = '' > 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* 77.53817 -0.1836963 3.021745 t2* 76.77500 -0.0625100 2.839422 > z <- data.frame(cbind(r$t[,1],r$t[,2])) > colnames(z) <- list('mean','median') > postscript(file="/var/wessaorg/rcomp/tmp/14rkr1355492183.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,] 69.69456 69.9300 [2,] 75.26081 75.0150 [3,] 77.31835 76.5350 [4,] 79.28022 78.4325 [5,] 85.04753 83.4950 $n [1] 500 500 $conf [,1] [,2] [1,] 77.03434 76.29352 [2,] 77.60236 76.77648 $out [1] 85.87772 68.94658 86.72494 85.94122 68.47000 69.31000 68.41500 69.80000 [9] 68.67500 84.30000 69.78000 68.55000 85.25000 85.00000 67.55000 $group [1] 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 $names [1] "mean" "median" > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'statistic',header=TRUE) > a<-table.element(a,'Q1',header=TRUE) > a<-table.element(a,'Estimate',header=TRUE) > a<-table.element(a,'Q3',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'IQR',header=TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'mean',header=TRUE) > q1 <- quantile(r$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$t[,2]))) > a<-table.element(a,q3-q1) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2dsu31355492183.tab") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'95% Confidence Intervals',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'',1,TRUE) > a<-table.element(a,'Mean',1,TRUE) > a<-table.element(a,'Median',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Lower Bound',1,TRUE) > a<-table.element(a,b$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/31pbv1355492183.tab") > > try(system("convert tmp/14rkr1355492183.ps tmp/14rkr1355492183.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.265 0.216 2.460