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.

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(56.3
+ ,62.3
+ ,63.3
+ ,59
+ ,62.5
+ ,62.5
+ ,59
+ ,56.5
+ ,62
+ ,53.8
+ ,61.5
+ ,61.5
+ ,64.5
+ ,58.3
+ ,51.3
+ ,58.8
+ ,65.3
+ ,59.5
+ ,61.3
+ ,63.3
+ ,61.8
+ ,53.5
+ ,58
+ ,61.3
+ ,63.3
+ ,61.5
+ ,60.8
+ ,59
+ ,65.5
+ ,56.3
+ ,64.3
+ ,58
+ ,64.3
+ ,57.5
+ ,57.8
+ ,61.5
+ ,62.3
+ ,61.8
+ ,65.3
+ ,58.3
+ ,62.8
+ ,59.3
+ ,61.5
+ ,62
+ ,61.3
+ ,62.3
+ ,52.8
+ ,59.8
+ ,59.5
+ ,61.3
+ ,63.5
+ ,64.8
+ ,60
+ ,59
+ ,55.8
+ ,57.8
+ ,61.3
+ ,62.3
+ ,64.3
+ ,55.5
+ ,64.5
+ ,60
+ ,56.3
+ ,58.3
+ ,60
+ ,54.5
+ ,55.8
+ ,62.8
+ ,60.5
+ ,63.3
+ ,66.8
+ ,60
+ ,60.5
+ ,64.3
+ ,58.3
+ ,66.5
+ ,65.3
+ ,60.5
+ ,59.5
+ ,59
+ ,61.3
+ ,61.5
+ ,64.8
+ ,56.8
+ ,66.5
+ ,61.5
+ ,63
+ ,57
+ ,65.5
+ ,62
+ ,56
+ ,61.3
+ ,55.5
+ ,61
+ ,54.5
+ ,66
+ ,56.5
+ ,56
+ ,51.5
+ ,62
+ ,63
+ ,61
+ ,64
+ ,61
+ ,59.8
+ ,61.3
+ ,63.3
+ ,63.5
+ ,61.5
+ ,60.3
+ ,61.3
+ ,64.8
+ ,60.5
+ ,57.3
+ ,59.5
+ ,60.8
+ ,60.5
+ ,67
+ ,64.8
+ ,50.5
+ ,57.5
+ ,60.5
+ ,61.8
+ ,61.3
+ ,66.3
+ ,53.3
+ ,59
+ ,57.8
+ ,60
+ ,68.3
+ ,67.5
+ ,63.8
+ ,65
+ ,59.5
+ ,66
+ ,61.8
+ ,57.3
+ ,66
+ ,56.5
+ ,58.3
+ ,61
+ ,62.8
+ ,59.3
+ ,67.3
+ ,66.3
+ ,64.5
+ ,60.5
+ ,66
+ ,57.5
+ ,64
+ ,68
+ ,63.5
+ ,69
+ ,63.8
+ ,66
+ ,63.5
+ ,59.5
+ ,66.3
+ ,57
+ ,60
+ ,57
+ ,67.3
+ ,62
+ ,65
+ ,59.5
+ ,67.8
+ ,58
+ ,60
+ ,58.5
+ ,58.3
+ ,61.5
+ ,65
+ ,66.5
+ ,68.5
+ ,57
+ ,61.5
+ ,66.5
+ ,52.5
+ ,55
+ ,71
+ ,66.5
+ ,58.8
+ ,66.3
+ ,65.8
+ ,71
+ ,59.5
+ ,69.8
+ ,62.5
+ ,56.5
+ ,57.5
+ ,65.3
+ ,67.3
+ ,67
+ ,66
+ ,61.8
+ ,60
+ ,63
+ ,60.5
+ ,65.5
+ ,62
+ ,59
+ ,61.8
+ ,63.3
+ ,66
+ ,61.8
+ ,63
+ ,57.5
+ ,63
+ ,56
+ ,60.5
+ ,56.8
+ ,64
+ ,60
+ ,69.5
+ ,63.3
+ ,56.3
+ ,72
+ ,65.3
+ ,60.8
+ ,55
+ ,55
+ ,66.5
+ ,56.8
+ ,64.8
+ ,64.5
+ ,58
+ ,62.8
+ ,63.8
+ ,57.8
+ ,57.3
+ ,63.5
+ ,55
+ ,66.5
+ ,65
+ ,61.5
+ ,62
+ ,59.3)
> 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: Wessa, P., (2007), Central Tendency (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_centraltendency.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] 61.36456
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.2562814
> (armose <- arm / armse)
[1] 239.4421
> (geo <- geomean(x))
[1] 61.23727
> (har <- harmean(x))
[1] 61.1089
> (qua <- quamean(x))
[1] 61.49073
> (win <- winmean(x))
          [,1]      [,2]
 [1,] 61.36371 0.2549870
 [2,] 61.36540 0.2547074
 [3,] 61.36287 0.2504160
 [4,] 61.36287 0.2489552
 [5,] 61.36287 0.2460295
 [6,] 61.35527 0.2437133
 [7,] 61.35823 0.2417951
 [8,] 61.37173 0.2375665
 [9,] 61.36414 0.2366800
[10,] 61.37257 0.2327236
[11,] 61.36329 0.2317018
[12,] 61.36329 0.2317018
[13,] 61.36329 0.2317018
[14,] 61.37511 0.2264639
[15,] 61.37511 0.2264639
[16,] 61.38186 0.2228697
[17,] 61.36034 0.2206993
[18,] 61.37553 0.2190989
[19,] 61.37553 0.2190989
[20,] 61.37553 0.2190989
[21,] 61.40211 0.2163889
[22,] 61.40211 0.2163889
[23,] 61.40211 0.2163889
[24,] 61.38186 0.2143936
[25,] 61.40295 0.2123017
[26,] 61.40295 0.2123017
[27,] 61.40295 0.2123017
[28,] 61.36751 0.2089039
[29,] 61.40422 0.2053474
[30,] 61.40422 0.2053474
[31,] 61.40422 0.2053474
[32,] 61.43122 0.2028144
[33,] 61.43122 0.2028144
[34,] 61.43122 0.2028144
[35,] 61.40169 0.2000286
[36,] 61.40169 0.1916478
[37,] 61.40169 0.1916478
[38,] 61.40169 0.1916478
[39,] 61.40169 0.1857353
[40,] 61.40169 0.1857353
[41,] 61.40169 0.1857353
[42,] 61.40169 0.1857353
[43,] 61.40169 0.1857353
[44,] 61.40169 0.1759477
[45,] 61.40169 0.1759477
[46,] 61.40169 0.1759477
[47,] 61.40169 0.1759477
[48,] 61.40169 0.1689812
[49,] 61.40169 0.1689812
[50,] 61.40169 0.1689812
[51,] 61.40169 0.1689812
[52,] 61.46751 0.1634700
[53,] 61.40042 0.1577783
[54,] 61.40042 0.1577783
[55,] 61.40042 0.1577783
[56,] 61.40042 0.1577783
[57,] 61.35232 0.1538227
[58,] 61.40127 0.1497554
[59,] 61.47595 0.1437420
[60,] 61.47595 0.1437420
[61,] 61.45021 0.1333619
[62,] 61.45021 0.1333619
[63,] 61.45021 0.1333619
[64,] 61.39620 0.1290417
[65,] 61.39620 0.1290417
[66,] 61.39620 0.1290417
[67,] 61.31139 0.1224803
[68,] 61.39747 0.1157298
[69,] 61.39747 0.1157298
[70,] 61.39747 0.1157298
[71,] 61.45738 0.1111932
[72,] 61.39662 0.1065271
[73,] 61.39662 0.1065271
[74,] 61.39662 0.1065271
[75,] 61.39662 0.1065271
[76,] 61.39662 0.1065271
[77,] 61.39662 0.1065271
[78,] 61.39662 0.1065271
[79,] 61.39662 0.0915528
> (tri <- trimean(x))
          [,1]      [,2]
 [1,] 61.36456 0.2502034
 [2,] 61.36553 0.2451367
 [3,] 61.36840 0.2399173
 [4,] 61.36840 0.2360178
 [5,] 61.37225 0.2323197
 [6,] 61.37422 0.2291093
 [7,] 61.37758 0.2261876
 [8,] 61.37758 0.2234424
 [9,] 61.38174 0.2212131
[10,] 61.38387 0.2189847
[11,] 61.38512 0.2171496
[12,] 61.38732 0.2153324
[13,] 61.38957 0.2134095
[14,] 61.39187 0.2113736
[15,] 61.39324 0.2097541
[16,] 61.39324 0.2080370
[17,] 61.39557 0.2065495
[18,] 61.39801 0.2051610
[19,] 61.39950 0.2038218
[20,] 61.40102 0.2023968
[21,] 61.40256 0.2008802
[22,] 61.40259 0.1994791
[23,] 61.40262 0.1979858
[24,] 61.40265 0.1963939
[25,] 61.40374 0.1948438
[26,] 61.40378 0.1933415
[27,] 61.40383 0.1917367
[28,] 61.40387 0.1900218
[29,] 61.40559 0.1884255
[30,] 61.40565 0.1869622
[31,] 61.40571 0.1853939
[32,] 61.40571 0.1837126
[33,] 61.40468 0.1820795
[34,] 61.40355 0.1803262
[35,] 61.40240 0.1784428
[36,] 61.40242 0.1766067
[37,] 61.40245 0.1751833
[38,] 61.40248 0.1736482
[39,] 61.40252 0.1719919
[40,] 61.40255 0.1705874
[41,] 61.40258 0.1690679
[42,] 61.40261 0.1674233
[43,] 61.40265 0.1656426
[44,] 61.40268 0.1637133
[45,] 61.40272 0.1622687
[46,] 61.40276 0.1606975
[47,] 61.40280 0.1589881
[48,] 61.40284 0.1571270
[49,] 61.40288 0.1555693
[50,] 61.40292 0.1538679
[51,] 61.40296 0.1520086
[52,] 61.40301 0.1499751
[53,] 61.40076 0.1481358
[54,] 61.40078 0.1465218
[55,] 61.40079 0.1447472
[56,] 61.40080 0.1427947
[57,] 61.40081 0.1406441
[58,] 61.40248 0.1385703
[59,] 61.40252 0.1365926
[60,] 61.40000 0.1348554
[61,] 61.39739 0.1329273
[62,] 61.39558 0.1315832
[63,] 61.39558 0.1300808
[64,] 61.39369 0.1284009
[65,] 61.39159 0.1268706
[66,] 61.39143 0.1251528
[67,] 61.39126 0.1232230
[68,] 61.39406 0.1216050
[69,] 61.39394 0.1203549
[70,] 61.39381 0.1189319
[71,] 61.39368 0.1173123
[72,] 61.39140 0.1158707
[73,] 61.39121 0.1146492
[74,] 61.39101 0.1132404
[75,] 61.39080 0.1116165
[76,] 61.39059 0.1097441
[77,] 61.39036 0.1075823
[78,] 61.39012 0.1050809
[79,] 61.38987 0.1021768
> (midr <- midrange(x))
[1] 61.25
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 61.45041 61.45041 61.45041 61.45041 61.45041 61.42623 61.45041 61.45041
> postscript(file="/var/www/html/rcomp/tmp/1ydwv1289124038.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/2ydwv1289124038.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/30y5u1289124038.tab") 
> 
> try(system("convert tmp/1ydwv1289124038.ps tmp/1ydwv1289124038.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ydwv1289124038.ps tmp/2ydwv1289124038.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.208   0.374   1.398