R version 2.12.0 (2010-10-15)
Copyright (C) 2010 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.

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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
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Type 'q()' to quit R.

> x <- c(3.4,3.4,4,3.4,3.1,3.3,3.5,3.5,3.7,3.4,3,3.1,2.9,2.4,2.4,2.7,2.5,2.1,1.9,0.8,0.8,0.3,0,-0.9,-1,-0.7,-1.7,-1,-0.2,0.7,0.6,1.9,2.1,2.7,3.2,4.8,5.5,5.4,5.9,5.8,5.1,4.1,4.4,3.6,3.5,3.1,2.9,2.2,1.4,1.2,1.3,1.3,1.3,1.8,1.8,1.8,1.7,2.1,2,1.7,1.9,2.3,2.4,2.5,2.8,2.6,2.2,2.8,2.8,2.8,2.3,2.2,3,2.9,2.7,2.7,2.3,2.4,2.8,2.3,2,1.9,2.3,2.7,1.8,2,2.1,2,2.4,1.7,1,1.2,1.4,1.7,1.8,1.4,1.7,1.6,1.4,1.5,0.9,1.5,1.7,1.6,1.2,1.3,1.1,1.3,1.2,1.3,1.1,0.8,1.4,1.6,2.5,2.5,2.6,2,1.8,1.9,1.9,2.5,2.8,3,3.1,2.9,2.2,2.5,2.7,3,3.7,3.7,4,3.5,1.7,3,2.4,2.3,2.5,2.1,0.3,2.1,1.6,1.4,1.3,0.9,0.7,0.7,0.8,1.1,1.3,1,1,0.7,0.6,0.7,0.8,1,1.2,1.2,1.3,1.3,1,0.8,0.5,0.9,1.3,1.2,1.6,1.7,1.9,1.6,1.4,1.1,1.3,1.9,2.1,2.1,2.1,2.2,1.5,1.2,1.5,1.9,2.1,2,1.6,1.4,1.4,1.3,1.1,1,1,0.9,0.8,1.1,1.4,1.6,1.7,1.7,1.9,1.9,2.1,2.2,2.5,2.5,2.8,2.8,2.6,2.4,2.2,2.4,2.3,2.5,2.3,2.5,2.5,2.9,2.3,2,2.3,2.6,2.7,2.5,2.5,2.2,2,1.9,2.2,1.9,2.4,2.5,2.7,2.6,2.6,2.1,2.1)
> 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] 2.022785
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.06997575
> (armose <- arm / armse)
[1] 28.90694
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 0
> (qua <- quamean(x))
[1] 2.290689
> (win <- winmean(x))
          [,1]       [,2]
 [1,] 2.025316 0.06927100
 [2,] 2.022785 0.06870719
 [3,] 2.022785 0.06820574
 [4,] 2.021097 0.06657916
 [5,] 2.025316 0.06367661
 [6,] 2.020253 0.06117558
 [7,] 2.020253 0.05860527
 [8,] 2.016878 0.05810737
 [9,] 2.024473 0.05720274
[10,] 2.016034 0.05498452
[11,] 2.016034 0.05498452
[12,] 2.021097 0.05444790
[13,] 2.015612 0.05374687
[14,] 2.009705 0.05302609
[15,] 2.009705 0.05302609
[16,] 2.009705 0.05302609
[17,] 2.016878 0.05229697
[18,] 2.009283 0.05140513
[19,] 2.009283 0.05140513
[20,] 2.009283 0.05140513
[21,] 2.009283 0.05140513
[22,] 2.000000 0.05036518
[23,] 1.990295 0.04933000
[24,] 1.990295 0.04728707
[25,] 1.990295 0.04728707
[26,] 1.990295 0.04728707
[27,] 1.990295 0.04728707
[28,] 1.990295 0.04500901
[29,] 1.990295 0.04500901
[30,] 1.990295 0.04500901
[31,] 1.990295 0.04500901
[32,] 1.990295 0.04500901
[33,] 1.976371 0.04372350
[34,] 1.976371 0.04372350
[35,] 1.991139 0.04236606
[36,] 1.991139 0.04236606
[37,] 1.991139 0.04236606
[38,] 1.975105 0.04095232
[39,] 1.975105 0.04095232
[40,] 1.975105 0.04095232
[41,] 1.992405 0.03943169
[42,] 1.992405 0.03943169
[43,] 1.992405 0.03943169
[44,] 1.992405 0.03943169
[45,] 1.992405 0.03943169
[46,] 1.972996 0.03779747
[47,] 1.972996 0.03779747
[48,] 1.972996 0.03779747
[49,] 1.993671 0.03605772
[50,] 1.993671 0.03605772
[51,] 1.993671 0.03605772
[52,] 1.993671 0.03605772
[53,] 1.993671 0.03605772
[54,] 1.970886 0.03422321
[55,] 1.970886 0.03422321
[56,] 1.970886 0.03422321
[57,] 1.970886 0.03422321
[58,] 1.970886 0.03422321
[59,] 1.970886 0.03422321
[60,] 1.945570 0.03231509
[61,] 1.945570 0.03231509
[62,] 1.971730 0.03015508
[63,] 1.971730 0.03015508
[64,] 1.971730 0.03015508
[65,] 1.971730 0.03015508
[66,] 1.971730 0.03015508
[67,] 1.971730 0.03015508
[68,] 1.971730 0.03015508
[69,] 1.971730 0.03015508
[70,] 1.971730 0.03015508
[71,] 1.971730 0.03015508
[72,] 2.002110 0.02776862
[73,] 2.002110 0.02776862
[74,] 2.002110 0.02776862
[75,] 1.970464 0.02543101
[76,] 2.002532 0.02298073
[77,] 2.002532 0.02298073
[78,] 2.002532 0.02298073
[79,] 2.002532 0.02298073
> (tri <- trimean(x))
          [,1]       [,2]
 [1,] 2.022785 0.06674640
 [2,] 2.022128 0.06402363
 [3,] 2.016883 0.06140708
 [4,] 2.016883 0.05877877
 [5,] 2.013216 0.05645367
 [6,] 2.010667 0.05470600
 [7,] 2.008969 0.05338349
 [8,] 2.008969 0.05245680
 [9,] 2.005936 0.05155662
[10,] 2.003687 0.05073640
[11,] 2.002326 0.05017007
[12,] 2.000939 0.04957071
[13,] 1.999052 0.04899804
[14,] 1.997608 0.04846959
[15,] 1.996618 0.04798545
[16,] 1.996618 0.04747222
[17,] 1.994581 0.04692777
[18,] 1.993035 0.04641642
[19,] 1.991960 0.04595377
[20,] 1.990863 0.04546215
[21,] 1.989744 0.04493938
[22,] 1.988601 0.04438304
[23,] 1.987958 0.04387609
[24,] 1.987831 0.04341794
[25,] 1.987701 0.04308343
[26,] 1.987568 0.04272635
[27,] 1.987432 0.04234505
[28,] 1.987293 0.04193771
[29,] 1.987151 0.04166082
[30,] 1.987006 0.04136386
[31,] 1.986857 0.04104536
[32,] 1.986857 0.04070368
[33,] 1.986550 0.04033702
[34,] 1.986982 0.04002824
[35,] 1.987425 0.03969601
[36,] 1.987273 0.03942645
[37,] 1.987117 0.03913543
[38,] 1.986957 0.03882124
[39,] 1.987421 0.03857115
[40,] 1.987898 0.03829997
[41,] 1.988387 0.03800596
[42,] 1.988235 0.03778277
[43,] 1.988079 0.03753941
[44,] 1.987919 0.03727417
[45,] 1.987755 0.03698519
[46,] 1.987586 0.03667036
[47,] 1.988112 0.03643053
[48,] 1.988652 0.03616763
[49,] 1.989209 0.03587956
[50,] 1.989051 0.03567540
[51,] 1.988889 0.03544968
[52,] 1.988722 0.03520040
[53,] 1.988550 0.03492532
[54,] 1.988372 0.03462192
[55,] 1.988976 0.03440767
[56,] 1.989600 0.03416892
[57,] 1.990244 0.03390319
[58,] 1.990909 0.03360769
[59,] 1.991597 0.03327921
[60,] 1.992308 0.03291412
[61,] 1.993913 0.03263853
[62,] 1.995575 0.03232923
[63,] 1.995575 0.03214749
[64,] 1.996396 0.03193975
[65,] 1.998131 0.03170301
[66,] 1.999048 0.03143384
[67,] 2.000000 0.03112828
[68,] 2.000990 0.03078173
[69,] 2.002020 0.03038880
[70,] 2.003093 0.02994316
[71,] 2.004211 0.02943727
[72,] 2.005376 0.02886207
[73,] 2.005495 0.02844624
[74,] 2.005618 0.02797012
[75,] 2.005747 0.02742423
[76,] 2.007059 0.02702775
[77,] 2.007229 0.02682006
[78,] 2.007407 0.02657262
[79,] 2.007595 0.02627916
> (midr <- midrange(x))
[1] 2.1
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 1.932813 1.962687 1.962687 1.962687 1.962687 1.962687 1.962687 1.962687
> postscript(file="/var/www/rcomp/tmp/1t0v01322592784.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/www/rcomp/tmp/2edlv1322592784.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/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,'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/www/rcomp/tmp/352iw1322592784.tab") 
> 
> try(system("convert tmp/1t0v01322592784.ps tmp/1t0v01322592784.png",intern=TRUE))
character(0)
> try(system("convert tmp/2edlv1322592784.ps tmp/2edlv1322592784.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.770   0.080   1.842