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(14.84
+ ,14.84
+ ,15.57
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,15.57
+ ,14.84
+ ,14.84
+ ,15.57
+ ,15.57
+ ,15.54
+ ,15.54
+ ,15.54
+ ,15.54
+ ,16.28
+ ,16.28
+ ,16.28
+ ,15.54
+ ,15.54
+ ,16.28
+ ,16.28
+ ,16.28
+ ,15.54
+ ,15.54
+ ,15.54
+ ,15.54
+ ,15.54
+ ,16.28
+ ,16.28
+ ,15.54
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,15.51
+ ,16.25
+ ,16.25
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,16.25
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,15.51
+ ,15.51
+ ,15.51
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,15.51
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25
+ ,16.25)
> 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] 15.49085
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.03235582
> (armose <- arm / armse)
[1] 478.7653
> (geo <- geomean(x))
[1] 15.48409
> (har <- harmean(x))
[1] 15.47734
> (qua <- quamean(x))
[1] 15.49760
> (win <- winmean(x))
          [,1]        [,2]
 [1,] 15.49085 0.032355825
 [2,] 15.49085 0.032355825
 [3,] 15.49085 0.032355825
 [4,] 15.49085 0.032355825
 [5,] 15.49085 0.032355825
 [6,] 15.49085 0.032355825
 [7,] 15.49085 0.032355825
 [8,] 15.48965 0.032212554
 [9,] 15.48965 0.032212554
[10,] 15.48965 0.032212554
[11,] 15.48965 0.032212554
[12,] 15.48965 0.032212554
[13,] 15.48965 0.032212554
[14,] 15.48965 0.032212554
[15,] 15.48965 0.032212554
[16,] 15.48965 0.032212554
[17,] 15.48965 0.032212554
[18,] 15.48965 0.032212554
[19,] 15.48965 0.032212554
[20,] 15.48965 0.032212554
[21,] 15.48965 0.032212554
[22,] 15.48965 0.032212554
[23,] 15.48965 0.032212554
[24,] 15.48965 0.032212554
[25,] 15.48965 0.032212554
[26,] 15.48965 0.032212554
[27,] 15.48965 0.032212554
[28,] 15.48965 0.032212554
[29,] 15.48965 0.032212554
[30,] 15.48965 0.032212554
[31,] 15.48965 0.032212554
[32,] 15.48965 0.032212554
[33,] 15.48965 0.032212554
[34,] 15.37463 0.022090495
[35,] 15.37463 0.022090495
[36,] 15.37463 0.022090495
[37,] 15.37463 0.022090495
[38,] 15.37463 0.022090495
[39,] 15.37463 0.022090495
[40,] 15.37463 0.022090495
[41,] 15.37463 0.022090495
[42,] 15.37463 0.022090495
[43,] 15.37463 0.022090495
[44,] 15.37463 0.022090495
[45,] 15.37463 0.022090495
[46,] 15.37463 0.022090495
[47,] 15.37463 0.022090495
[48,] 15.37463 0.022090495
[49,] 15.37463 0.022090495
[50,] 15.37463 0.022090495
[51,] 15.54463 0.002030838
[52,] 15.54463 0.002030838
[53,] 15.54463 0.002030838
[54,] 15.54463 0.002030838
[55,] 15.54463 0.002030838
[56,] 15.54463 0.002030838
[57,] 15.54463 0.002030838
[58,] 15.54463 0.002030838
[59,] 15.54463 0.002030838
[60,] 15.54463 0.002030838
[61,] 15.54463 0.002030838
[62,] 15.54463 0.002030838
[63,] 15.54463 0.002030838
[64,] 15.54463 0.002030838
[65,] 15.54463 0.002030838
[66,] 15.54463 0.002030838
[67,] 15.54463 0.002030838
> (tri <- trimean(x))
          [,1]        [,2]
 [1,] 15.49015 0.032272952
 [2,] 15.48944 0.032183014
 [3,] 15.48872 0.032085573
 [4,] 15.48798 0.031980162
 [5,] 15.48723 0.031866277
 [6,] 15.48646 0.031743373
 [7,] 15.48567 0.031610860
 [8,] 15.48486 0.031468103
 [9,] 15.48421 0.031336864
[10,] 15.48354 0.031195210
[11,] 15.48285 0.031042425
[12,] 15.48215 0.030877731
[13,] 15.48143 0.030700279
[14,] 15.48069 0.030509143
[15,] 15.48069 0.030303305
[16,] 15.47917 0.030081651
[17,] 15.47838 0.029842952
[18,] 15.47758 0.029585852
[19,] 15.47675 0.029308846
[20,] 15.47590 0.029010262
[21,] 15.47503 0.028688232
[22,] 15.47414 0.028340664
[23,] 15.47323 0.027965197
[24,] 15.47229 0.027559158
[25,] 15.47132 0.027119501
[26,] 15.47034 0.026642730
[27,] 15.46932 0.026124805
[28,] 15.46828 0.025561013
[29,] 15.46720 0.024945801
[30,] 15.46720 0.024272552
[31,] 15.46496 0.023533269
[32,] 15.46380 0.022718131
[33,] 15.46259 0.021814830
[34,] 15.46135 0.020807569
[35,] 15.46527 0.020563217
[36,] 15.46930 0.020288969
[37,] 15.47346 0.019981049
[38,] 15.47776 0.019635013
[39,] 15.48220 0.019245580
[40,] 15.48678 0.018806399
[41,] 15.49151 0.018309731
[42,] 15.49641 0.017745981
[43,] 15.50148 0.017103019
[44,] 15.50673 0.016365107
[45,] 15.51216 0.015511168
[46,] 15.51780 0.014511737
[47,] 15.52364 0.013323156
[48,] 15.52971 0.011875003
[49,] 15.53602 0.010037375
[50,] 15.54257 0.007502677
[51,] 15.54939 0.002677691
[52,] 15.54959 0.002694008
[53,] 15.54979 0.002710268
[54,] 15.55000 0.002726423
[55,] 15.55000 0.002742413
[56,] 15.55045 0.002758172
[57,] 15.55069 0.002773616
[58,] 15.55094 0.002788650
[59,] 15.55120 0.002803159
[60,] 15.55120 0.002817007
[61,] 15.55177 0.002830030
[62,] 15.55208 0.002842034
[63,] 15.55240 0.002852784
[64,] 15.55274 0.002861998
[65,] 15.55310 0.002869331
[66,] 15.55348 0.002874366
[67,] 15.55388 0.002876590
> (midr <- midrange(x))
[1] 15.56
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 15.33485 15.33485 15.33485 15.33485 15.33485 15.33485 15.33485 15.33485
> postscript(file="/var/www/html/rcomp/tmp/1dyau1290437571.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/2dyau1290437571.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/3xkkt1290437571.tab") 
> 
> try(system("convert tmp/1dyau1290437571.ps tmp/1dyau1290437571.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dyau1290437571.ps tmp/2dyau1290437571.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.061   0.370   2.169