R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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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(27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.76
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.76
+ ,27.02
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.02
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.76
+ ,27.02
+ ,27.76
+ ,27.59
+ ,27.59
+ ,27.59
+ ,28.33
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,28.33
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,28.33
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,27.59
+ ,28.33
+ ,27.59
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,27.59
+ ,28.33
+ ,28.33
+ ,27.59
+ ,28.33
+ ,28.33
+ ,28.33
+ ,28.33
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59
+ ,27.59)
> 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] 27.76498
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.03099937
> (armose <- arm / armse)
[1] 895.6626
> (geo <- geomean(x))
[1] 27.76151
> (har <- harmean(x))
[1] 27.75803
> (qua <- quamean(x))
[1] 27.76844
> (win <- winmean(x))
          [,1]        [,2]
 [1,] 27.76498 0.030999368
 [2,] 27.76498 0.030999368
 [3,] 27.76498 0.030999368
 [4,] 27.76498 0.030999368
 [5,] 27.76498 0.030999368
 [6,] 27.76498 0.030999368
 [7,] 27.76498 0.030999368
 [8,] 27.76498 0.030999368
 [9,] 27.76498 0.030999368
[10,] 27.76498 0.030999368
[11,] 27.76498 0.030999368
[12,] 27.76498 0.030999368
[13,] 27.76498 0.030999368
[14,] 27.76498 0.030999368
[15,] 27.76498 0.030999368
[16,] 27.76498 0.030999368
[17,] 27.76498 0.030999368
[18,] 27.76498 0.030999368
[19,] 27.76498 0.030999368
[20,] 27.76498 0.030999368
[21,] 27.76498 0.030999368
[22,] 27.76498 0.030999368
[23,] 27.76498 0.030999368
[24,] 27.76498 0.030999368
[25,] 27.76498 0.030999368
[26,] 27.76498 0.030999368
[27,] 27.76498 0.030999368
[28,] 27.76498 0.030999368
[29,] 27.76498 0.030999368
[30,] 27.76498 0.030999368
[31,] 27.76498 0.030999368
[32,] 27.85572 0.022413749
[33,] 27.85572 0.022413749
[34,] 27.85572 0.022413749
[35,] 27.85572 0.022413749
[36,] 27.85572 0.022413749
[37,] 27.85572 0.022413749
[38,] 27.85572 0.022413749
[39,] 27.85572 0.022413749
[40,] 27.85572 0.022413749
[41,] 27.85572 0.022413749
[42,] 27.85572 0.022413749
[43,] 27.85572 0.022413749
[44,] 27.85572 0.022413749
[45,] 27.85572 0.022413749
[46,] 27.85572 0.022413749
[47,] 27.85572 0.022413749
[48,] 27.85572 0.022413749
[49,] 27.85572 0.022413749
[50,] 27.85572 0.022413749
[51,] 27.85572 0.022413749
[52,] 27.85572 0.022413749
[53,] 27.85572 0.022413749
[54,] 27.85572 0.022413749
[55,] 27.85572 0.022413749
[56,] 27.85572 0.022413749
[57,] 27.85572 0.022413749
[58,] 27.85572 0.022413749
[59,] 27.85572 0.022413749
[60,] 27.68557 0.005963736
[61,] 27.68557 0.005963736
[62,] 27.68557 0.005963736
[63,] 27.68557 0.005963736
[64,] 27.68557 0.005963736
[65,] 27.68557 0.005963736
[66,] 27.68557 0.005963736
[67,] 27.68557 0.005963736
> (tri <- trimean(x))
          [,1]        [,2]
 [1,] 27.76588 0.030955308
 [2,] 27.76680 0.030906018
 [3,] 27.76774 0.030851176
 [4,] 27.76870 0.030790436
 [5,] 27.76969 0.030723427
 [6,] 27.77069 0.030649748
 [7,] 27.77171 0.030568969
 [8,] 27.77276 0.030480626
 [9,] 27.77383 0.030384218
[10,] 27.77492 0.030279202
[11,] 27.77603 0.030164991
[12,] 27.77718 0.030040947
[13,] 27.77834 0.029906378
[14,] 27.77954 0.029760528
[15,] 27.77954 0.029602574
[16,] 27.78201 0.029431614
[17,] 27.78329 0.029246661
[18,] 27.78461 0.029046627
[19,] 27.78595 0.028830316
[20,] 27.78733 0.028596404
[21,] 27.78874 0.028343422
[22,] 27.79019 0.028069736
[23,] 27.79168 0.027773520
[24,] 27.79320 0.027452723
[25,] 27.79477 0.027105034
[26,] 27.79638 0.026727833
[27,] 27.79803 0.026318133
[28,] 27.79972 0.025872504
[29,] 27.80147 0.025386980
[30,] 27.80147 0.024856935
[31,] 27.80511 0.024276920
[32,] 27.80701 0.023640440
[33,] 27.80474 0.023618918
[34,] 27.80241 0.023588944
[35,] 27.80000 0.023549650
[36,] 27.79752 0.023500070
[37,] 27.79496 0.023439118
[38,] 27.79232 0.023365576
[39,] 27.78959 0.023278070
[40,] 27.78678 0.023175048
[41,] 27.78387 0.023054745
[42,] 27.78085 0.022915153
[43,] 27.77774 0.022753969
[44,] 27.77451 0.022568547
[45,] 27.77117 0.022355822
[46,] 27.76771 0.022112228
[47,] 27.76411 0.021833580
[48,] 27.76038 0.021514934
[49,] 27.75650 0.021150386
[50,] 27.75248 0.020732815
[51,] 27.74828 0.020253516
[52,] 27.74392 0.019701682
[53,] 27.73937 0.019063641
[54,] 27.73462 0.018321680
[55,] 27.73462 0.017452150
[56,] 27.72449 0.016422203
[57,] 27.71908 0.015183659
[58,] 27.71341 0.013660092
[59,] 27.70747 0.011714404
[60,] 27.70747 0.009039322
[61,] 27.70190 0.009129733
[62,] 27.70260 0.009221958
[63,] 27.70333 0.009315943
[64,] 27.70411 0.009411600
[65,] 27.70493 0.009508808
[66,] 27.70580 0.009607395
[67,] 27.70672 0.009707127
> (midr <- midrange(x))
[1] 27.675
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 27.90604 27.90604 27.90604 27.90604 27.90604 27.90604 27.90604 27.90604
> postscript(file="/var/www/rcomp/tmp/1ftz71290436971.ps",horizontal=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/282yr1290436971.ps",horizontal=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/3a57r1290436971.tab") 
> 
> try(system("convert tmp/1ftz71290436971.ps tmp/1ftz71290436971.png",intern=TRUE))
character(0)
> try(system("convert tmp/282yr1290436971.ps tmp/282yr1290436971.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.410   0.530   1.924