R version 2.13.0 (2011-04-13)
Copyright (C) 2011 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.

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(30,28,38,30,22,26,25,18,11,26,25,38,44,30,40,34,47,30,31,23,36,36,30,25,39,34,31,31,33,25,33,35,42,43,30,33,13,32,36,0,28,14,17,32,30,35,20,28,28,39,34,26,39,39,33,28,4,39,18,14,29,44,21,16,28,35,28,38,23,36,32,29,25,27,36,28,23,40,23,40,28,34,33,28,34,30,33,22,38,26,35,8,24,29,20,29,45,37,33,33,25,32,29,28,28,31,52,21,24,41,33,32,19,20,31,31,32,18,23,17,20,12,17,30,31,10,13,22,42,1,9,32,11,25,36,31,0,24,13,8,13,19,18,33,40,22,38,24,8,35,43,43,14,41,38,45,31,13,28,31,40,30,16,37,30,35,32,27,20,18,31,31,21,39,41,13,32,18,39,14,7,17,0,30,37,0,5,1,16,32,24,17,11,24,22,12,19,13,17,15,16,24,15,17,18,20,16,16,18,22,8,17,18,16,23,22,13,13,16,16,20,22,17,18,17,12,7,17,14,23,17,14,15,17,21,18,18,17,17,16,15,21,16,14,15,17,15,15,10,6,22,21,1,18,17,4,10,16,16,9,16,17,7,15,14,14,18,12,16,21,19,16,1,16,10,19,12,2,14,17,19,14,11,4,16,20,12,15,16)
> 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] 23.30104
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.6232512
> (armose <- arm / armse)
[1] 37.38627
> (geo <- geomean(x))
[1] 0
> (har <- harmean(x))
[1] 0
> (qua <- quamean(x))
[1] 25.58925
> (win <- winmean(x))
          [,1]      [,2]
 [1,] 23.28374 0.6207200
 [2,] 23.26990 0.6189582
 [3,] 23.26990 0.6189582
 [4,] 23.26990 0.6155324
 [5,] 23.26990 0.6155324
 [6,] 23.24913 0.6131573
 [7,] 23.24913 0.6131573
 [8,] 23.27682 0.6097363
 [9,] 23.30796 0.5990388
[10,] 23.30796 0.5990388
[11,] 23.26990 0.5950075
[12,] 23.31142 0.5904368
[13,] 23.35640 0.5857001
[14,] 23.35640 0.5758530
[15,] 23.35640 0.5758530
[16,] 23.35640 0.5758530
[17,] 23.41522 0.5701907
[18,] 23.41522 0.5701907
[19,] 23.34948 0.5637010
[20,] 23.34948 0.5637010
[21,] 23.42215 0.5569984
[22,] 23.42215 0.5569984
[23,] 23.50173 0.5500281
[24,] 23.50173 0.5500281
[25,] 23.50173 0.5500281
[26,] 23.41176 0.5414171
[27,] 23.50519 0.5335964
[28,] 23.50519 0.5335964
[29,] 23.50519 0.5335964
[30,] 23.50519 0.5335964
[31,] 23.61246 0.5251118
[32,] 23.50173 0.5148022
[33,] 23.50173 0.5148022
[34,] 23.50173 0.5148022
[35,] 23.38062 0.5040223
[36,] 23.38062 0.5040223
[37,] 23.50865 0.4942750
[38,] 23.50865 0.4942750
[39,] 23.50865 0.4942750
[40,] 23.50865 0.4942750
[41,] 23.36678 0.4821038
[42,] 23.36678 0.4821038
[43,] 23.36678 0.4821038
[44,] 23.36678 0.4821038
[45,] 23.36678 0.4821038
[46,] 23.52595 0.4705634
[47,] 23.36332 0.4571042
[48,] 23.36332 0.4571042
[49,] 23.36332 0.4571042
[50,] 23.36332 0.4571042
[51,] 23.36332 0.4571042
[52,] 23.18339 0.4429062
[53,] 23.18339 0.4429062
[54,] 23.18339 0.4429062
[55,] 23.18339 0.4429062
[56,] 23.18339 0.4429062
[57,] 23.38062 0.4291124
[58,] 23.38062 0.4291124
[59,] 23.38062 0.4291124
[60,] 23.38062 0.4291124
[61,] 23.38062 0.4291124
[62,] 23.16609 0.4127851
[63,] 23.16609 0.4127851
[64,] 23.16609 0.4127851
[65,] 23.16609 0.4127851
[66,] 23.39446 0.3975583
[67,] 23.39446 0.3975583
[68,] 23.39446 0.3975583
[69,] 23.39446 0.3975583
[70,] 23.39446 0.3975583
[71,] 23.39446 0.3975583
[72,] 23.14533 0.3792277
[73,] 23.14533 0.3792277
[74,] 23.14533 0.3792277
[75,] 23.14533 0.3792277
[76,] 23.14533 0.3792277
[77,] 23.14533 0.3792277
[78,] 23.14533 0.3792277
[79,] 23.14533 0.3792277
[80,] 23.14533 0.3792277
[81,] 23.14533 0.3792277
[82,] 23.14533 0.3792277
[83,] 23.14533 0.3792277
[84,] 22.85467 0.3587133
[85,] 23.14879 0.3396992
[86,] 23.14879 0.3396992
[87,] 23.14879 0.3396992
[88,] 23.14879 0.3396992
[89,] 23.14879 0.3396992
[90,] 23.14879 0.3396992
[91,] 23.14879 0.3396992
[92,] 23.14879 0.3396992
[93,] 23.14879 0.3396992
[94,] 23.14879 0.3396992
[95,] 23.14879 0.3396992
[96,] 22.81661 0.3167987
> (tri <- trimean(x))
          [,1]      [,2]
 [1,] 23.28223 0.6141940
 [2,] 23.28070 0.6073793
 [3,] 23.28622 0.6012065
 [4,] 23.29181 0.5947584
 [5,] 23.29749 0.5889827
 [6,] 23.30325 0.5829476
 [7,] 23.31273 0.5771024
 [8,] 23.32234 0.5709898
 [9,] 23.32841 0.5651219
[10,] 23.33086 0.5604643
[11,] 23.33333 0.5555931
[12,] 23.33962 0.5509677
[13,] 23.34221 0.5466272
[14,] 23.34100 0.5425683
[15,] 23.33977 0.5392624
[16,] 23.33852 0.5357982
[17,] 23.33725 0.5321673
[18,] 23.33202 0.5288305
[19,] 23.32669 0.5253299
[20,] 23.32530 0.5221585
[21,] 23.32389 0.5188284
[22,] 23.31837 0.5158117
[23,] 23.31276 0.5126405
[24,] 23.30290 0.5097746
[25,] 23.30290 0.5067579
[26,] 23.28270 0.5035819
[27,] 23.27660 0.5007908
[28,] 23.26609 0.4983230
[29,] 23.25541 0.4957172
[30,] 23.24454 0.4929656
[31,] 23.23348 0.4900600
[32,] 23.21778 0.4874685
[33,] 23.20628 0.4853219
[34,] 23.19457 0.4830452
[35,] 23.18265 0.4806310
[36,] 23.17512 0.4786655
[37,] 23.16744 0.4765752
[38,] 23.15493 0.4748500
[39,] 23.14218 0.4730072
[40,] 23.12919 0.4710400
[41,] 23.11594 0.4689410
[42,] 23.10732 0.4673367
[43,] 23.09852 0.4656160
[44,] 23.08955 0.4637718
[45,] 23.08040 0.4617965
[46,] 23.07107 0.4596820
[47,] 23.05641 0.4579714
[48,] 23.04663 0.4568072
[49,] 23.03665 0.4555389
[50,] 23.03665 0.4541597
[51,] 23.01604 0.4526626
[52,] 23.00541 0.4510399
[53,] 23.00000 0.4499845
[54,] 22.99448 0.4488234
[55,] 22.98883 0.4475495
[56,] 22.98305 0.4461554
[57,] 22.97714 0.4446326
[58,] 22.96532 0.4436143
[59,] 22.95322 0.4424820
[60,] 22.94083 0.4412277
[61,] 22.94083 0.4398425
[62,] 22.91515 0.4383168
[63,] 22.90798 0.4374717
[64,] 22.90062 0.4365133
[65,] 22.89308 0.4354332
[66,] 22.88535 0.4342220
[67,] 22.87097 0.4335829
[68,] 22.85621 0.4328308
[69,] 22.84106 0.4319567
[70,] 22.82550 0.4309506
[71,] 22.80952 0.4298018
[72,] 22.79310 0.4284983
[73,] 22.78322 0.4280314
[74,] 22.77305 0.4274484
[75,] 22.76259 0.4267393
[76,] 22.75182 0.4258930
[77,] 22.75182 0.4248972
[78,] 22.72932 0.4237385
[79,] 22.71756 0.4224019
[80,] 22.70543 0.4208707
[81,] 22.69291 0.4191265
[82,] 22.68000 0.4171485
[83,] 22.66667 0.4149137
[84,] 22.65289 0.4123959
[85,] 22.64706 0.4109296
[86,] 22.63248 0.4103362
[87,] 22.61739 0.4095695
[88,] 22.60177 0.4086107
[89,] 22.58559 0.4074387
[90,] 22.56881 0.4060298
[91,] 22.55140 0.4043568
[92,] 22.53333 0.4023891
[93,] 22.51456 0.4000914
[94,] 22.49505 0.3974233
[95,] 22.47475 0.3943383
[96,] 22.45361 0.3907821
> (midr <- midrange(x))
[1] 26
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 22.52318 22.52318 22.52318 22.52318 22.52318 22.52318 22.52318 22.52318
> postscript(file="/var/wessaorg/rcomp/tmp/1e8pp1324120027.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/wessaorg/rcomp/tmp/235ud1324120027.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/3csvp1324120027.tab") 
> 
> try(system("convert tmp/1e8pp1324120027.ps tmp/1e8pp1324120027.png",intern=TRUE))
character(0)
> try(system("convert tmp/235ud1324120027.ps tmp/235ud1324120027.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.623   0.165   1.776