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(6.9,7.2,7.1,6.5,6.6,6.7,6.9,7.1,7.4,7.6,7.8,8.1,8.5,8.7,8.8,8,8,8.3,8.5,8.7,8.6,8.3,7.9,7.9,8.1,8.3,8.1,7.4,7.3,7.7,8,8,7.7,6.9,6.6,6.9,7.5,7.9,7.7,6.5,6.1,6.4,6.8,7.1,7.3,7.2,7,7,7,7.3,7.5,7.2,7.7,8,7.9,8,8,7.9,7.9,8,8.1,8.1,8.2,8,8.3,8.5,8.6,8.7,8.7,8.5,8.4,8.5,8.7,8.7,8.6,7.9,8.1,8.2,8.5,8.6,8.5,8.3,8.2,8.7,9.3,9.3,8.8,7.4,7.2,7.5,8.3,8.8,8.9,8.6,8.4,8.4,8.4,8.4,8.3,7.6,7.6,7.9,8,8.2,8.3,8.2,8.1,8,7.8,7.6,7.5,6.8,6.9,7.1,7.3,7.4,7.6,7.6,7.5,7.5,6.8,6.4,6.2,6,6.3,6.3,6.1,6.1,6.3,6.6,6.8,7,7.1,7.3,6.8,6.3,6.4,6.7,6.8,7.2,7.5,7.7,7.8,8.1,8.4,8.7,8.5,8.3,8.5,8.7,8.9,9,9.1,9.1,9.2,9.6,9.9,9.8,9.2,8.9,9,9.2,9.3,9.4,9.5,9.4,9.4,9.6,9.8,9.7,9.1,8.7,8.7,8.8,9,9.2,9.2,9.3,9.4,9.6,9.8,9.8,9.3,9,9.2,9.5,9.7,9.9,10,9.9,10,10.1,10.2,10,9.5,9,9.1,9.3,9.5,9.7,9.8,9.8,9.9,10.1,10.2,10.2,9.6,9.3,9.4,9.5,9.6,9.7,9.7,9.6,9.5,9.5,9.4,9.2,8.5,8,7.9,7.9,8,8,8,7.8,7.6,7.6,7.6,7.5,7,6.5,6.5,6.6,6.7,6.8,6.9)
> ylimmax = ''
> ylimmin = ''
> main = 'Robustness of Central Tendency'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> geomean <- function(x) {
+ return(exp(mean(log(x))))
+ }
> harmean <- function(x) {
+ return(1/mean(1/x))
+ }
> quamean <- function(x) {
+ return(sqrt(mean(x*x)))
+ }
> winmean <- function(x) {
+ x <-sort(x[!is.na(x)])
+ n<-length(x)
+ denom <- 3
+ nodenom <- n/denom
+ if (nodenom>40) denom <- n/40
+ sqrtn = sqrt(n)
+ roundnodenom = floor(nodenom)
+ win <- array(NA,dim=c(roundnodenom,2))
+ for (j in 1:roundnodenom) {
+ win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
+ win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
+ }
+ return(win)
+ }
> trimean <- function(x) {
+ x <-sort(x[!is.na(x)])
+ n<-length(x)
+ denom <- 3
+ nodenom <- n/denom
+ if (nodenom>40) denom <- n/40
+ sqrtn = sqrt(n)
+ roundnodenom = floor(nodenom)
+ tri <- array(NA,dim=c(roundnodenom,2))
+ for (j in 1:roundnodenom) {
+ tri[j,1] <- mean(x,trim=j/n)
+ tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
+ }
+ return(tri)
+ }
> midrange <- function(x) {
+ return((max(x)+min(x))/2)
+ }
> q1 <- function(data,n,p,i,f) {
+ np <- n*p;
+ i <<- floor(np)
+ f <<- np - i
+ qvalue <- (1-f)*data[i] + f*data[i+1]
+ }
> q2 <- function(data,n,p,i,f) {
+ np <- (n+1)*p
+ i <<- floor(np)
+ f <<- np - i
+ qvalue <- (1-f)*data[i] + f*data[i+1]
+ }
> q3 <- function(data,n,p,i,f) {
+ np <- n*p
+ i <<- floor(np)
+ f <<- np - i
+ if (f==0) {
+ qvalue <- data[i]
+ } else {
+ qvalue <- data[i+1]
+ }
+ }
> q4 <- function(data,n,p,i,f) {
+ np <- n*p
+ i <<- floor(np)
+ f <<- np - i
+ if (f==0) {
+ qvalue <- (data[i]+data[i+1])/2
+ } else {
+ qvalue <- data[i+1]
+ }
+ }
> q5 <- function(data,n,p,i,f) {
+ np <- (n-1)*p
+ i <<- floor(np)
+ f <<- np - i
+ if (f==0) {
+ qvalue <- data[i+1]
+ } else {
+ qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
+ }
+ }
> q6 <- function(data,n,p,i,f) {
+ np <- n*p+0.5
+ i <<- floor(np)
+ f <<- np - i
+ qvalue <- data[i]
+ }
> q7 <- function(data,n,p,i,f) {
+ np <- (n+1)*p
+ i <<- floor(np)
+ f <<- np - i
+ if (f==0) {
+ qvalue <- data[i]
+ } else {
+ qvalue <- f*data[i] + (1-f)*data[i+1]
+ }
+ }
> q8 <- function(data,n,p,i,f) {
+ np <- (n+1)*p
+ i <<- floor(np)
+ f <<- np - i
+ if (f==0) {
+ qvalue <- data[i]
+ } else {
+ if (f == 0.5) {
+ qvalue <- (data[i]+data[i+1])/2
+ } else {
+ if (f < 0.5) {
+ qvalue <- data[i]
+ } else {
+ qvalue <- data[i+1]
+ }
+ }
+ }
+ }
> midmean <- function(x,def) {
+ x <-sort(x[!is.na(x)])
+ n<-length(x)
+ if (def==1) {
+ qvalue1 <- q1(x,n,0.25,i,f)
+ qvalue3 <- q1(x,n,0.75,i,f)
+ }
+ if (def==2) {
+ qvalue1 <- q2(x,n,0.25,i,f)
+ qvalue3 <- q2(x,n,0.75,i,f)
+ }
+ if (def==3) {
+ qvalue1 <- q3(x,n,0.25,i,f)
+ qvalue3 <- q3(x,n,0.75,i,f)
+ }
+ if (def==4) {
+ qvalue1 <- q4(x,n,0.25,i,f)
+ qvalue3 <- q4(x,n,0.75,i,f)
+ }
+ if (def==5) {
+ qvalue1 <- q5(x,n,0.25,i,f)
+ qvalue3 <- q5(x,n,0.75,i,f)
+ }
+ if (def==6) {
+ qvalue1 <- q6(x,n,0.25,i,f)
+ qvalue3 <- q6(x,n,0.75,i,f)
+ }
+ if (def==7) {
+ qvalue1 <- q7(x,n,0.25,i,f)
+ qvalue3 <- q7(x,n,0.75,i,f)
+ }
+ if (def==8) {
+ qvalue1 <- q8(x,n,0.25,i,f)
+ qvalue3 <- q8(x,n,0.75,i,f)
+ }
+ midm <- 0
+ myn <- 0
+ roundno4 <- round(n/4)
+ round3no4 <- round(3*n/4)
+ for (i in 1:n) {
+ if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
+ midm = midm + x[i]
+ myn = myn + 1
+ }
+ }
+ midm = midm / myn
+ return(midm)
+ }
> (arm <- mean(x))
[1] 8.192827
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.06857967
> (armose <- arm / armse)
[1] 119.4644
> (geo <- geomean(x))
[1] 8.123896
> (har <- harmean(x))
[1] 8.053964
> (qua <- quamean(x))
[1] 8.260288
> (win <- winmean(x))
          [,1]       [,2]
 [1,] 8.193249 0.06852378
 [2,] 8.193249 0.06852378
 [3,] 8.191983 0.06837040
 [4,] 8.193671 0.06815638
 [5,] 8.193671 0.06765614
 [6,] 8.193671 0.06765614
 [7,] 8.193671 0.06765614
 [8,] 8.190295 0.06728345
 [9,] 8.194093 0.06684144
[10,] 8.194093 0.06684144
[11,] 8.194093 0.06684144
[12,] 8.194093 0.06574105
[13,] 8.194093 0.06574105
[14,] 8.194093 0.06574105
[15,] 8.194093 0.06574105
[16,] 8.200844 0.06502023
[17,] 8.200844 0.06502023
[18,] 8.193249 0.06424700
[19,] 8.193249 0.06424700
[20,] 8.201688 0.06337988
[21,] 8.201688 0.06337988
[22,] 8.201688 0.06337988
[23,] 8.201688 0.06146954
[24,] 8.201688 0.06146954
[25,] 8.201688 0.06146954
[26,] 8.201688 0.06146954
[27,] 8.201688 0.06146954
[28,] 8.201688 0.06146954
[29,] 8.189451 0.06031628
[30,] 8.202110 0.05910743
[31,] 8.202110 0.05910743
[32,] 8.202110 0.05910743
[33,] 8.202110 0.05910743
[34,] 8.202110 0.05910743
[35,] 8.202110 0.05910743
[36,] 8.202110 0.05631934
[37,] 8.202110 0.05631934
[38,] 8.202110 0.05631934
[39,] 8.202110 0.05631934
[40,] 8.202110 0.05631934
[41,] 8.219409 0.05478771
[42,] 8.201688 0.05320308
[43,] 8.201688 0.05320308
[44,] 8.201688 0.05320308
[45,] 8.201688 0.05320308
[46,] 8.221097 0.05153624
[47,] 8.221097 0.05153624
[48,] 8.221097 0.05153624
[49,] 8.200422 0.04973828
[50,] 8.200422 0.04973828
[51,] 8.221941 0.04794383
[52,] 8.221941 0.04794383
[53,] 8.221941 0.04794383
[54,] 8.221941 0.04794383
[55,] 8.221941 0.04794383
[56,] 8.221941 0.04402469
[57,] 8.221941 0.04402469
[58,] 8.221941 0.04402469
[59,] 8.221941 0.04402469
[60,] 8.221941 0.03993619
[61,] 8.221941 0.03993619
[62,] 8.221941 0.03993619
[63,] 8.221941 0.03993619
[64,] 8.221941 0.03993619
[65,] 8.194515 0.03771595
[66,] 8.194515 0.03771595
[67,] 8.194515 0.03771595
[68,] 8.194515 0.03326251
[69,] 8.194515 0.03326251
[70,] 8.194515 0.03326251
[71,] 8.194515 0.03326251
[72,] 8.164135 0.03097533
[73,] 8.164135 0.03097533
[74,] 8.164135 0.03097533
[75,] 8.164135 0.03097533
[76,] 8.164135 0.03097533
[77,] 8.196624 0.02852086
[78,] 8.196624 0.02852086
[79,] 8.196624 0.02852086
> (tri <- trimean(x))
          [,1]       [,2]
 [1,] 8.192827 0.06799287
 [2,] 8.193617 0.06743405
 [3,] 8.194372 0.06684561
 [4,] 8.194372 0.06628222
 [5,] 8.195595 0.06574909
 [6,] 8.196000 0.06530247
 [7,] 8.196413 0.06483108
 [8,] 8.196413 0.06433340
 [9,] 8.197717 0.06386529
[10,] 8.198157 0.06343271
[11,] 8.198605 0.06297514
[12,] 8.199061 0.06249100
[13,] 8.199526 0.06210226
[14,] 8.200000 0.06169010
[15,] 8.200483 0.06125303
[16,] 8.200483 0.06078944
[17,] 8.200985 0.06036433
[18,] 8.200995 0.05991283
[19,] 8.201508 0.05949928
[20,] 8.202030 0.05905941
[21,] 8.202051 0.05866142
[22,] 8.202073 0.05823745
[23,] 8.202094 0.05778571
[24,] 8.202116 0.05744650
[25,] 8.202139 0.05708378
[26,] 8.202162 0.05669593
[27,] 8.202186 0.05628118
[28,] 8.202210 0.05583759
[29,] 8.202235 0.05536303
[30,] 8.202825 0.05493395
[31,] 8.202857 0.05455555
[32,] 8.202857 0.05414918
[33,] 8.202924 0.05371270
[34,] 8.202959 0.05324379
[35,] 8.202994 0.05273985
[36,] 8.203030 0.05219799
[37,] 8.203067 0.05179811
[38,] 8.203106 0.05136659
[39,] 8.203145 0.05090082
[40,] 8.203185 0.05039790
[41,] 8.203226 0.04985458
[42,] 8.202614 0.04936776
[43,] 8.202649 0.04894424
[44,] 8.202685 0.04848462
[45,] 8.202721 0.04798566
[46,] 8.202759 0.04744370
[47,] 8.202098 0.04696510
[48,] 8.201418 0.04644381
[49,] 8.200719 0.04587563
[50,] 8.200730 0.04538013
[51,] 8.200741 0.04483859
[52,] 8.200000 0.04436843
[53,] 8.199237 0.04385285
[54,] 8.198450 0.04328706
[55,] 8.197638 0.04266560
[56,] 8.196800 0.04198212
[57,] 8.195935 0.04151917
[58,] 8.195041 0.04100748
[59,] 8.194118 0.04044148
[60,] 8.193162 0.03981475
[61,] 8.192174 0.03943050
[62,] 8.191150 0.03900139
[63,] 8.191150 0.03852215
[64,] 8.190090 0.03798661
[65,] 8.187850 0.03738759
[66,] 8.187619 0.03690636
[67,] 8.187379 0.03636542
[68,] 8.187129 0.03575670
[69,] 8.186869 0.03545058
[70,] 8.186598 0.03510015
[71,] 8.186316 0.03469949
[72,] 8.186022 0.03424165
[73,] 8.186813 0.03392187
[74,] 8.187640 0.03355130
[75,] 8.188506 0.03312251
[76,] 8.189412 0.03262655
[77,] 8.190361 0.03205263
[78,] 8.190123 0.03165228
[79,] 8.189873 0.03118325
> (midr <- midrange(x))
[1] 8.1
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 8.166942 8.196800 8.196800 8.196800 8.196800 8.196800 8.196800 8.196800
> postscript(file="/var/wessaorg/rcomp/tmp/1888g1322592158.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> lb <- win[,1] - 2*win[,2]
> ub <- win[,1] + 2*win[,2]
> if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
> lines(ub,lty=3)
> lines(lb,lty=3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2nvzt1322592158.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> lb <- tri[,1] - 2*tri[,2]
> ub <- tri[,1] + 2*tri[,2]
> if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
> lines(ub,lty=3)
> lines(lb,lty=3)
> grid()
> dev.off()
null device 
          1 
> 
> #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,'Central Tendency - Ungrouped Data',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Measure',header=TRUE)
> a<-table.element(a,'Value',header=TRUE)
> a<-table.element(a,'S.E.',header=TRUE)
> a<-table.element(a,'Value/S.E.',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
> a<-table.element(a,arm)
> a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
> a<-table.element(a,armose)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
> a<-table.element(a,geo)
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
> a<-table.element(a,har)
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
> a<-table.element(a,qua)
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> for (j in 1:length(win[,1])) {
+ a<-table.row.start(a)
+ mylabel <- paste('Winsorized Mean (',j)
+ mylabel <- paste(mylabel,'/')
+ mylabel <- paste(mylabel,length(win[,1]))
+ mylabel <- paste(mylabel,')')
+ a<-table.element(a,hyperlink('http://www.xycoon.com/winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
+ a<-table.element(a,win[j,1])
+ a<-table.element(a,win[j,2])
+ a<-table.element(a,win[j,1]/win[j,2])
+ a<-table.row.end(a)
+ }
> for (j in 1:length(tri[,1])) {
+ a<-table.row.start(a)
+ mylabel <- paste('Trimmed Mean (',j)
+ mylabel <- paste(mylabel,'/')
+ mylabel <- paste(mylabel,length(tri[,1]))
+ mylabel <- paste(mylabel,')')
+ a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
+ a<-table.element(a,tri[j,1])
+ a<-table.element(a,tri[j,2])
+ a<-table.element(a,tri[j,1]/tri[j,2])
+ a<-table.row.end(a)
+ }
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
> a<-table.element(a,median(x))
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
> a<-table.element(a,midr)
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_1.htm','Weighted Average at Xnp',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[1])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[2])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_3.htm','Empirical Distribution Function',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[3])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[4])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[5])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_6.htm','Closest Observation',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[6])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[7])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
> mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_8.htm','MS Excel (old versions)',''),sep=' - ')
> a<-table.element(a,mylabel,header=TRUE)
> a<-table.element(a,midm[8])
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of observations',header=TRUE)
> a<-table.element(a,length(x))
> a<-table.element(a,'')
> a<-table.element(a,'')
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/33qow1322592158.tab") 
> 
> try(system("convert tmp/1888g1322592158.ps tmp/1888g1322592158.png",intern=TRUE))
character(0)
> try(system("convert tmp/2nvzt1322592158.ps tmp/2nvzt1322592158.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.345   0.150   1.503