R version 2.12.2 (2011-02-25)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-redhat-linux-gnu (64-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(131.676
+ ,135.050
+ ,129.070
+ ,137.792
+ ,139.762
+ ,142.917
+ ,144.198
+ ,142.648
+ ,152.170
+ ,136.022
+ ,138.142
+ ,138.135
+ ,135.027
+ ,132.911
+ ,133.976
+ ,137.012
+ ,119.610
+ ,118.106
+ ,120.383
+ ,133.185
+ ,131.416
+ ,134.248
+ ,134.397
+ ,127.728
+ ,131.837
+ ,125.955
+ ,134.187
+ ,143.291
+ ,145.074
+ ,149.812
+ ,144.668
+ ,147.253
+ ,145.568
+ ,155.564
+ ,155.872
+ ,156.323
+ ,158.010
+ ,155.598
+ ,154.785
+ ,157.294
+ ,162.938
+ ,157.283
+ ,166.074
+ ,169.282
+ ,172.552
+ ,174.055
+ ,175.409
+ ,173.696
+ ,171.283
+ ,173.322
+ ,170.717
+ ,174.229
+ ,175.339
+ ,173.511
+ ,175.839
+ ,173.816
+ ,173.990
+ ,174.777
+ ,174.819
+ ,176.726
+ ,176.199
+ ,180.952
+ ,176.663
+ ,182.346
+ ,180.605
+ ,182.497
+ ,187.856
+ ,190.020
+ ,190.108
+ ,193.288
+ ,193.230
+ ,199.068
+ ,195.076
+ ,191.563
+ ,191.067
+ ,186.665
+ ,185.508
+ ,184.371
+ ,183.046
+ ,175.714
+ ,175.768
+ ,171.029
+ ,170.465
+ ,170.102
+ ,156.389
+ ,124.291
+ ,99.360
+ ,86.675
+ ,85.056
+ ,128.236
+ ,164.257
+ ,162.401
+ ,152.779
+ ,156.005
+ ,153.387
+ ,153.190
+ ,148.840
+ ,144.211
+ ,145.953
+ ,145.542
+ ,150.271
+ ,147.489
+ ,143.824
+ ,134.754
+ ,131.736
+ ,126.304
+ ,125.511
+ ,125.495
+ ,130.133
+ ,126.257
+ ,110.323
+ ,98.417
+ ,105.749
+ ,120.665
+ ,124.075
+ ,127.245
+ ,146.731
+ ,144.979
+ ,148.210
+ ,144.670
+ ,142.970
+ ,142.524
+ ,146.142
+ ,146.522
+ ,148.128
+ ,148.798
+ ,150.181
+ ,152.388
+ ,155.694
+ ,160.662
+ ,155.520
+ ,158.262
+ ,154.338
+ ,158.196
+ ,160.371
+ ,154.856
+ ,150.636
+ ,145.899
+ ,141.242
+ ,140.834
+ ,141.119
+ ,139.104
+ ,134.437
+ ,129.425
+ ,123.155
+ ,119.273
+ ,120.472
+ ,121.523
+ ,121.983
+ ,123.658
+ ,124.794
+ ,124.827
+ ,120.382
+ ,117.395
+ ,115.790
+ ,114.283
+ ,117.271
+ ,117.448
+ ,118.764
+ ,120.550
+ ,123.554
+ ,125.412
+ ,124.182
+ ,119.828
+ ,115.361
+ ,114.226
+ ,115.214
+ ,115.864
+ ,114.276
+ ,113.469
+ ,114.883
+ ,114.172
+ ,111.225
+ ,112.149
+ ,115.618
+ ,118.002
+ ,121.382
+ ,120.663)
> 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] 145.2148
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 1.815371
> (armose <- arm / armse)
[1] 79.99182
> (geo <- geomean(x))
[1] 143.1923
> (har <- harmean(x))
[1] 141.1541
> (qua <- quamean(x))
[1] 147.2096
> (win <- winmean(x))
          [,1]      [,2]
 [1,] 145.2015 1.8100637
 [2,] 145.3133 1.7851174
 [3,] 145.3283 1.7826318
 [4,] 145.4344 1.7573837
 [5,] 145.5489 1.7397718
 [6,] 145.5470 1.7315912
 [7,] 145.5799 1.7270665
 [8,] 145.5419 1.7067904
 [9,] 145.5173 1.6946983
[10,] 145.4553 1.6855594
[11,] 145.3881 1.6759020
[12,] 145.2993 1.6642593
[13,] 145.3030 1.6545612
[14,] 145.3172 1.6503608
[15,] 145.2121 1.6343804
[16,] 145.2040 1.6281601
[17,] 144.8499 1.5826085
[18,] 144.8511 1.5811082
[19,] 144.9517 1.5601843
[20,] 144.9252 1.5542277
[21,] 144.9231 1.5526615
[22,] 144.9849 1.5451114
[23,] 144.9589 1.5393700
[24,] 145.0382 1.5296376
[25,] 145.0366 1.5145897
[26,] 145.0797 1.5091959
[27,] 145.0297 1.4968455
[28,] 145.0894 1.4855905
[29,] 145.0790 1.4844093
[30,] 145.0647 1.4797771
[31,] 145.0574 1.4762099
[32,] 145.0444 1.4706647
[33,] 145.0098 1.4668035
[34,] 144.9996 1.4380474
[35,] 144.7778 1.4086986
[36,] 144.8195 1.3945989
[37,] 144.9983 1.3654242
[38,] 145.0297 1.3520313
[39,] 144.9729 1.3415510
[40,] 144.8823 1.3137334
[41,] 144.1681 1.2356794
[42,] 143.7651 1.1909968
[43,] 143.5679 1.1491112
[44,] 143.4434 1.1357770
[45,] 143.1516 1.0812180
[46,] 143.0979 1.0723670
[47,] 142.5452 1.0224248
[48,] 142.6471 1.0096508
[49,] 142.6791 0.9974510
[50,] 142.4912 0.9788950
[51,] 142.7576 0.9536389
[52,] 142.6376 0.9183963
[53,] 142.7692 0.9029172
[54,] 142.9257 0.8718733
[55,] 142.9943 0.8585689
[56,] 143.1610 0.8340445
[57,] 143.5411 0.7955969
[58,] 143.6148 0.7873715
[59,] 143.6201 0.7844183
> (tri <- trimean(x))
          [,1]      [,2]
 [1,] 145.2507 1.7774820
 [2,] 145.3010 1.7424793
 [3,] 145.2945 1.7188470
 [4,] 145.2828 1.6944457
 [5,] 145.2426 1.6757272
 [6,] 145.1769 1.6598584
 [7,] 145.1100 1.6444687
 [8,] 145.0362 1.6286971
 [9,] 144.9659 1.6150300
[10,] 144.8969 1.6020712
[11,] 144.8331 1.5893213
[12,] 144.7748 1.5767679
[13,] 144.7237 1.5645869
[14,] 144.6708 1.5524712
[15,] 144.6152 1.5397481
[16,] 144.5667 1.5276253
[17,] 144.5175 1.5150437
[18,] 144.4930 1.5058780
[19,] 144.4677 1.4959459
[20,] 144.4348 1.4869572
[21,] 144.4027 1.4775820
[22,] 144.3698 1.4673715
[23,] 144.3321 1.4567568
[24,] 144.2948 1.4455386
[25,] 144.2517 1.4339649
[26,] 144.2074 1.4224491
[27,] 144.1592 1.4101307
[28,] 144.1122 1.3975334
[29,] 144.0604 1.3844788
[30,] 144.0074 1.3700641
[31,] 143.9533 1.3544336
[32,] 143.8977 1.3373467
[33,] 143.8408 1.3188029
[34,] 143.7835 1.2984762
[35,] 143.7245 1.2783915
[36,] 143.6740 1.2586858
[37,] 143.6195 1.2378627
[38,] 143.5545 1.2170942
[39,] 143.4854 1.1949332
[40,] 143.4161 1.1709466
[41,] 143.3481 1.1466131
[42,] 143.3103 1.1271448
[43,] 143.2893 1.1094964
[44,] 143.2765 1.0934843
[45,] 143.2688 1.0764583
[46,] 143.2742 1.0623576
[47,] 143.2742 1.0469259
[48,] 143.3164 1.0340035
[49,] 143.3474 1.0202448
[50,] 143.3785 1.0054244
[51,] 143.3785 0.9899516
[52,] 143.4514 0.9747020
[53,] 143.4900 0.9606319
[54,] 143.5246 0.9457291
[55,] 143.5246 0.9317367
[56,] 143.5811 0.9165412
[57,] 143.6020 0.9014158
[58,] 143.6050 0.8882273
[59,] 143.6050 0.8730882
> (midr <- midrange(x))
[1] 142.062
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 143.0616 143.2765 143.2765 143.2765 143.2688 143.2765 143.2765 143.2765
> postscript(file="/var/www/wessaorg/rcomp/tmp/16br71301583052.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/www/wessaorg/rcomp/tmp/2j1oc1301583052.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/www/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/wessaorg/rcomp/tmp/3g0aj1301583052.tab") 
> 
> try(system("convert tmp/16br71301583052.ps tmp/16br71301583052.png",intern=TRUE))
character(0)
> try(system("convert tmp/2j1oc1301583052.ps tmp/2j1oc1301583052.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.270   0.140   1.431