R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> x <- c(0.00498291873874305
+ ,0.0793223539142789
+ ,-0.0625809545639328
+ ,0.0280654227924886
+ ,0.0186770910482273
+ ,-0.0278451405168712
+ ,-0.0160415828684045
+ ,0.00800891826163896
+ ,-0.0284266699553964
+ ,0.00358089966203660
+ ,-0.0106258926391915
+ ,-0.0382814374185135
+ ,0.057838663944805
+ ,0.102402564588083
+ ,0.0746995870753183
+ ,0.0127932859545176
+ ,0.167725484938012
+ ,-0.128004517546978
+ ,-0.0735393462043395
+ ,0.0147181318738355
+ ,0.0102185013252131
+ ,-0.0589476023320615
+ ,0.00182819684467975
+ ,0.0581414158522751
+ ,-0.0272344430774991
+ ,0.0212995495732571
+ ,-0.0623124997311786
+ ,-5.83752587663966e-05
+ ,-0.0228268581805917
+ ,-0.067345143444185
+ ,-0.0315427622540225
+ ,0.0278186227243244
+ ,-0.0427383325146042
+ ,-0.00649440817096458
+ ,0.0247474807917305
+ ,-0.00401872802482828
+ ,-0.0255976981173509
+ ,-0.0468480706314915
+ ,-0.0363519086429775
+ ,-0.0530492158953395
+ ,0.0183982147919632
+ ,0.00422452551721264
+ ,-0.0852117605914602
+ ,0.0136687391795425
+ ,-0.0355419600553288
+ ,0.0341683247004703
+ ,0.0597143568478087
+ ,0.0214081232490564
+ ,-0.100731459894530
+ ,-0.047051344399291
+ ,-0.00658029169493979
+ ,-0.0227885142727402
+ ,0.0296743493753668
+ ,-0.01857996737444
+ ,0.0187962800103278
+ ,-0.0457667737637948
+ ,-0.00366069135268798
+ ,0.00367890076878297
+ ,-0.079647400200006
+ ,-0.0091243185857044
+ ,0.0492864925892338
+ ,0.0130250746511882
+ ,-0.0370922819395680
+ ,-0.0180627686095107
+ ,0.0332692067764153
+ ,-0.0722971672259876
+ ,-0.0178566785177168
+ ,-0.00334868566024671
+ ,-0.03083981570561
+ ,0.00408244299952987
+ ,0.0651662575662542
+ ,0.00411742686205496
+ ,0.0112606978192815
+ ,0.00215006014629004
+ ,0.0660015269583667
+ ,-0.0232299374591953
+ ,-0.0139150003490922
+ ,-0.00855913172763145
+ ,0.0488255884062676
+ ,-0.0147035752055471
+ ,0.107591796121569
+ ,0.0119750091944324
+ ,-0.0362475666004212
+ ,0.0251623283732521
+ ,0.0475618270062474
+ ,0.019537551882598
+ ,-0.101853195244507
+ ,0.0204083037138769
+ ,-0.032065972743049
+ ,-0.0856968557787612
+ ,0.0563411939342044
+ ,-0.00834749088071352
+ ,0.0323182614314677
+ ,-0.0649957289713692
+ ,0.00287215024827336
+ ,0.0459215548055463
+ ,0.0523217349874594
+ ,-0.0170521880891474
+ ,0.0119447347469332
+ ,-0.0300746672353176
+ ,0.0140385177312430
+ ,0.0333951893316602
+ ,-0.0089196803612861
+ ,0.0215215666160393
+ ,0.00243102727727784
+ ,-0.00264251063758536
+ ,0.0738057587248742
+ ,0.05247280805371
+ ,-0.0153046984939991
+ ,0.0818695834808763
+ ,0.0702499252958937
+ ,-0.0751547835318593
+ ,0.0210770835191783
+ ,-0.0139042522041262
+ ,-0.0443501136634712
+ ,-0.00147348818232285
+ ,-0.0257508828596622
+ ,0.0417988534479328
+ ,0.0124136981987064
+ ,0.0487343707199885
+ ,0.109803612572215
+ ,-0.0235359827120885
+ ,-0.0239611038278067
+ ,0.0137637477921384
+ ,-0.0257678975395814
+ ,-0.0385359711280735
+ ,0.0458658519725548
+ ,-0.020304258604555
+ ,-0.0215233594345037
+ ,-0.00159379200433651
+ ,0.055063884787975
+ ,0.0308125037919451
+ ,-0.0252862495465696
+ ,0.0101609583037332
+ ,-0.0192284886412875
+ ,0.000548473782408188
+ ,-0.000269275150888149
+ ,0.0335372325235799
+ ,0.0193127888352320
+ ,-0.0315397448784029
+ ,0.0408624926202439)
> 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] 0.0008836932
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.003814979
> (armose <- arm / armse)
[1] 0.2316378
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -0.00759473
> (qua <- quamean(x))
[1] 0.04514809
> (win <- winmean(x))
               [,1]        [,2]
 [1,]  6.583702e-04 0.003665747
 [2,]  6.429080e-04 0.003655968
 [3,]  8.523840e-04 0.003573833
 [4,]  2.836497e-04 0.003463149
 [5,]  3.906401e-04 0.003414166
 [6,]  3.851018e-04 0.003350934
 [7,]  4.209264e-04 0.003331111
 [8,]  2.896552e-04 0.003288762
 [9,]  3.345675e-04 0.003199463
[10,]  4.419537e-04 0.003165906
[11,]  2.050147e-04 0.003077823
[12,]  9.399462e-05 0.003056167
[13,]  3.763201e-04 0.003007885
[14,]  8.132905e-04 0.002907556
[15,]  1.315478e-03 0.002807471
[16,]  1.044522e-03 0.002764986
[17,]  1.156676e-03 0.002746544
[18,]  9.500488e-04 0.002673758
[19,]  1.105131e-03 0.002639711
[20,]  1.688272e-03 0.002569315
[21,]  1.551548e-03 0.002542366
[22,]  1.481161e-03 0.002488848
[23,]  1.592844e-03 0.002474388
[24,]  9.183496e-04 0.002385794
[25,]  8.774358e-04 0.002351671
[26,]  2.840124e-04 0.002136399
[27,]  2.633542e-04 0.002111947
[28,]  2.357462e-04 0.002108711
[29,]  3.537920e-04 0.002090379
[30,]  3.142607e-04 0.002050427
[31,]  3.455333e-04 0.001975707
[32,]  2.192070e-04 0.001933721
[33,] -1.442106e-05 0.001878320
[34,]  2.797020e-04 0.001835726
[35,] -3.754384e-04 0.001765888
[36,] -4.422459e-04 0.001750962
[37,] -1.207035e-03 0.001657524
[38,] -8.804767e-04 0.001617792
[39,] -7.929210e-04 0.001602886
[40,] -7.692106e-04 0.001587893
[41,] -8.464710e-04 0.001557025
[42,] -1.094422e-03 0.001530739
[43,] -7.771397e-04 0.001485350
[44,] -5.578912e-04 0.001432068
[45,] -2.525994e-04 0.001394796
[46,] -1.320059e-04 0.001365488
[47,] -1.186301e-03 0.001232614
> (tri <- trimean(x))
               [,1]        [,2]
 [1,]  6.106459e-04 0.003558048
 [2,]  5.615282e-04 0.003439474
 [3,]  5.190298e-04 0.003314209
 [4,]  4.012279e-04 0.003209878
 [5,]  4.328663e-04 0.003130722
 [6,]  4.420972e-04 0.003056733
 [7,]  4.526436e-04 0.002989929
 [8,]  4.577546e-04 0.002920420
 [9,]  4.818420e-04 0.002851714
[10,]  5.009106e-04 0.002791412
[11,]  5.078962e-04 0.002730189
[12,]  5.410790e-04 0.002675912
[13,]  5.867594e-04 0.002618857
[14,]  6.069581e-04 0.002562302
[15,]  5.882369e-04 0.002512968
[16,]  5.255207e-04 0.002470841
[17,]  4.827758e-04 0.002429136
[18,]  4.295434e-04 0.002384687
[19,]  3.899580e-04 0.002343660
[20,]  3.374101e-04 0.002301537
[21,]  2.412123e-04 0.002262101
[22,]  1.505116e-04 0.002220696
[23,]  6.074060e-05 0.002180009
[24,] -4.025362e-05 0.002135388
[25,] -1.021415e-04 0.002095187
[26,] -1.642180e-04 0.002053240
[27,] -1.921581e-04 0.002029638
[28,] -2.201439e-04 0.002004930
[29,] -2.478033e-04 0.001976575
[30,] -2.839144e-04 0.001945660
[31,] -3.195020e-04 0.001914267
[32,] -3.587856e-04 0.001886239
[33,] -3.927427e-04 0.001858181
[34,] -4.148860e-04 0.001831613
[35,] -4.554564e-04 0.001805025
[36,] -4.601283e-04 0.001781829
[37,] -4.611736e-04 0.001755613
[38,] -4.174454e-04 0.001735499
[39,] -3.901741e-04 0.001715791
[40,] -3.663039e-04 0.001693190
[41,] -3.422319e-04 0.001667076
[42,] -3.118093e-04 0.001638932
[43,] -2.640394e-04 0.001607506
[44,] -2.322943e-04 0.001575327
[45,] -2.118356e-04 0.001543417
[46,] -2.092290e-04 0.001509046
[47,] -2.142653e-04 0.001470068
> (midr <- midrange(x))
[1] 0.01986048
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -0.0008214248 -0.0004554564 -0.0004554564 -0.0004554564 -0.0004554564
[6] -0.0008070181 -0.0004554564 -0.0004554564
> postscript(file="/var/www/html/rcomp/tmp/1sor01197311722.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/2sokt1197311722.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 
> 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/3wwpc1197311723.tab") 
> 
> system("convert tmp/1sor01197311722.ps tmp/1sor01197311722.png")
> system("convert tmp/2sokt1197311722.ps tmp/2sokt1197311722.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.237   0.332   1.371