R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(43.31
+ ,43.31
+ ,44.05
+ ,44.05
+ ,44.05
+ ,43.31
+ ,44.05
+ ,44.05
+ ,44.05
+ ,44.05
+ ,44.05
+ ,44.05
+ ,43.31
+ ,43.31
+ ,43.31
+ ,43.31
+ ,44.05
+ ,44.61
+ ,44.61
+ ,43.89
+ ,43.89
+ ,43.89
+ ,44.61
+ ,44.61
+ ,44.61
+ ,43.89
+ ,43.89
+ ,44.61
+ ,44.61
+ ,44.61
+ ,43.89
+ ,44.61
+ ,44.61
+ ,44.61
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,44.61
+ ,44.61
+ ,44.61
+ ,44.61
+ ,43.89
+ ,44.61
+ ,44.61
+ ,43.89
+ ,44.61
+ ,44.61
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,44.61
+ ,44.61
+ ,44.61
+ ,44.61
+ ,44.61
+ ,44.61
+ ,44.61
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,43.89
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,43.58
+ ,43.58
+ ,44.28
+ ,44.28
+ ,43.58
+ ,43.58
+ ,43.58
+ ,44.28
+ ,44.28
+ ,44.28
+ ,43.58
+ ,43.58
+ ,44.28
+ ,43.58
+ ,44.28
+ ,44.28
+ ,44.28
+ ,43.58
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.58
+ ,44.28
+ ,44.28
+ ,44.28
+ ,44.28
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.58
+ ,43.33
+ ,43.33
+ ,44.03
+ ,44.03
+ ,44.03
+ ,43.33
+ ,44.03
+ ,44.03
+ ,44.03
+ ,44.03
+ ,43.33
+ ,43.33
+ ,44.03
+ ,44.03
+ ,44.03
+ ,43.33
+ ,43.33
+ ,44.03
+ ,44.03
+ ,43.33
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.9
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17
+ ,43.17)
> 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] 43.87124
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.03171813
> (armose <- arm / armse)
[1] 1383.16
> (geo <- geomean(x))
[1] 43.86895
> (har <- harmean(x))
[1] 43.86665
> (qua <- quamean(x))
[1] 43.87354
> (win <- winmean(x))
          [,1]        [,2]
 [1,] 43.87124 0.031718126
 [2,] 43.87124 0.031718126
 [3,] 43.87124 0.031718126
 [4,] 43.87124 0.031718126
 [5,] 43.87124 0.031718126
 [6,] 43.87124 0.031718126
 [7,] 43.87124 0.031718126
 [8,] 43.87124 0.031718126
 [9,] 43.87124 0.031718126
[10,] 43.87124 0.031718126
[11,] 43.87124 0.031718126
[12,] 43.87124 0.031718126
[13,] 43.87124 0.031718126
[14,] 43.87124 0.031718126
[15,] 43.87124 0.031718126
[16,] 43.87124 0.031718126
[17,] 43.87124 0.031718126
[18,] 43.87124 0.031718126
[19,] 43.87124 0.031718126
[20,] 43.87124 0.031718126
[21,] 43.87124 0.031718126
[22,] 43.87124 0.031718126
[23,] 43.87124 0.031718126
[24,] 43.87124 0.031718126
[25,] 43.87124 0.031718126
[26,] 43.82856 0.027422837
[27,] 43.82856 0.027422837
[28,] 43.82856 0.027422837
[29,] 43.82856 0.027422837
[30,] 43.84945 0.025036908
[31,] 43.84945 0.025036908
[32,] 43.84945 0.025036908
[33,] 43.84945 0.025036908
[34,] 43.84945 0.025036908
[35,] 43.84945 0.025036908
[36,] 43.84945 0.025036908
[37,] 43.85313 0.024643188
[38,] 43.85313 0.024643188
[39,] 43.85313 0.024643188
[40,] 43.85313 0.024643188
[41,] 43.85313 0.024643188
[42,] 43.85313 0.024643188
[43,] 43.85313 0.024643188
[44,] 43.85313 0.024643188
[45,] 43.90910 0.019203829
[46,] 43.90910 0.019203829
[47,] 43.90910 0.019203829
[48,] 43.90910 0.019203829
[49,] 43.90910 0.019203829
[50,] 43.90910 0.019203829
[51,] 43.90910 0.019203829
[52,] 43.90910 0.019203829
[53,] 43.84846 0.013971561
[54,] 43.84846 0.013971561
[55,] 43.84846 0.013971561
[56,] 43.84846 0.013971561
[57,] 43.84846 0.013971561
[58,] 43.84846 0.013971561
[59,] 43.84846 0.013971561
[60,] 43.84846 0.013971561
[61,] 43.84846 0.013971561
[62,] 43.84846 0.013971561
[63,] 43.84219 0.013527783
[64,] 43.84219 0.013527783
[65,] 43.84219 0.013527783
[66,] 43.94398 0.004699465
[67,] 43.94398 0.004699465
> (tri <- trimean(x))
          [,1]        [,2]
 [1,] 43.87106 0.031624092
 [2,] 43.87086 0.031522600
 [3,] 43.87067 0.031413192
 [4,] 43.87047 0.031295372
 [5,] 43.87026 0.031168608
 [6,] 43.87005 0.031032324
 [7,] 43.86984 0.030885898
 [8,] 43.86962 0.030728653
 [9,] 43.86940 0.030559856
[10,] 43.86917 0.030378710
[11,] 43.86894 0.030184345
[12,] 43.86870 0.029975808
[13,] 43.86846 0.029752059
[14,] 43.86821 0.029511951
[15,] 43.86821 0.029254223
[16,] 43.86769 0.028977479
[17,] 43.86743 0.028680171
[18,] 43.86715 0.028360576
[19,] 43.86687 0.028016766
[20,] 43.86658 0.027646575
[21,] 43.86629 0.027247557
[22,] 43.86599 0.026816934
[23,] 43.86568 0.026351531
[24,] 43.86536 0.025847690
[25,] 43.86503 0.025301166
[26,] 43.86470 0.024706982
[27,] 43.86660 0.024426799
[28,] 43.86855 0.024121535
[29,] 43.87056 0.023788642
[30,] 43.87056 0.023425202
[31,] 43.87374 0.023227999
[32,] 43.87489 0.023011776
[33,] 43.87607 0.022774666
[34,] 43.87729 0.022514553
[35,] 43.87855 0.022229023
[36,] 43.87984 0.021915310
[37,] 43.88118 0.021570223
[38,] 43.88240 0.021224271
[39,] 43.88366 0.020842660
[40,] 43.88496 0.020420889
[41,] 43.88630 0.019953609
[42,] 43.88769 0.019434377
[43,] 43.88913 0.018855331
[44,] 43.89062 0.018206692
[45,] 43.89216 0.017476042
[46,] 43.89147 0.017196386
[47,] 43.89075 0.016883693
[48,] 43.89000 0.016533350
[49,] 43.88922 0.016139791
[50,] 43.88842 0.015696208
[51,] 43.88758 0.015194127
[52,] 43.88670 0.014622778
[53,] 43.88579 0.013968112
[54,] 43.88731 0.013767029
[55,] 43.88731 0.013535510
[56,] 43.89056 0.013268616
[57,] 43.89230 0.012960266
[58,] 43.89412 0.012602848
[59,] 43.89602 0.012186642
[60,] 43.89602 0.011698923
[61,] 43.90013 0.011122483
[62,] 43.90234 0.010433030
[63,] 43.90467 0.009594167
[64,] 43.90740 0.008605216
[65,] 43.91028 0.007321235
[66,] 43.91333 0.005507751
[67,] 43.91194 0.005381169
> (midr <- midrange(x))
[1] 43.89
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 43.94885 43.94885 43.94885 43.94885 43.94885 43.94885 43.94885 43.94885
> postscript(file="/var/www/html/rcomp/tmp/1byre1290438074.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/html/rcomp/tmp/2byre1290438074.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/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/3pszg1290438074.tab") 
> 
> try(system("convert tmp/1byre1290438074.ps tmp/1byre1290438074.png",intern=TRUE))
character(0)
> try(system("convert tmp/2byre1290438074.ps tmp/2byre1290438074.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.012   0.361   2.195