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(60.10550214
+ ,7.907312589
+ ,-1.629491887
+ ,-1.523957559
+ ,-1.566427607
+ ,-3.789554566
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+ ,-2.366689948
+ ,17.78223915)
> 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] -0.6473912
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 1.281174
> (armose <- arm / armse)
[1] -0.5053111
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -43.86728
> (qua <- quamean(x))
[1] 24.28341
> (win <- winmean(x))
             [,1]      [,2]
  [1,] -0.8410639 1.2385834
  [2,] -0.8169350 1.2343069
  [3,] -0.8164542 1.2294727
  [4,] -0.8354145 1.2238864
  [5,] -0.8366771 1.2237171
  [6,] -0.8133358 1.2203118
  [7,] -0.8738989 1.2125921
  [8,] -0.8417356 1.2078620
  [9,] -0.7944468 1.2009491
 [10,] -0.7843659 1.1903793
 [11,] -0.8147501 1.1603488
 [12,] -0.7941976 1.1578698
 [13,] -0.8616326 1.1476994
 [14,] -0.8570843 1.1361751
 [15,] -0.8499312 1.1329077
 [16,] -0.8052684 1.1272279
 [17,] -0.8270904 1.1226780
 [18,] -0.7774538 1.1138499
 [19,] -0.7694440 1.1119603
 [20,] -0.7438601 1.1070727
 [21,] -0.8103965 1.1001990
 [22,] -0.8135095 1.0941249
 [23,] -0.7357438 1.0855309
 [24,] -0.7800331 1.0798253
 [25,] -0.7482920 1.0764718
 [26,] -0.7159750 1.0705422
 [27,] -0.6885472 1.0655812
 [28,] -0.6827533 1.0647696
 [29,] -0.7272533 1.0568475
 [30,] -0.7370905 1.0547682
 [31,] -0.7372919 1.0537401
 [32,] -0.7301402 1.0480611
 [33,] -0.7823021 1.0419466
 [34,] -0.7520056 1.0376587
 [35,] -0.7495446 1.0371594
 [36,] -0.7562549 1.0363620
 [37,] -0.6191604 1.0210831
 [38,] -0.6920672 1.0126337
 [39,] -0.7678798 1.0010094
 [40,] -0.7708193 0.9953981
 [41,] -0.7596780 0.9937789
 [42,] -0.7763241 0.9827673
 [43,] -0.7745134 0.9809630
 [44,] -0.8099992 0.9771936
 [45,] -0.8089436 0.9660367
 [46,] -0.8075547 0.9650318
 [47,] -0.8464474 0.9613811
 [48,] -1.0181230 0.9460292
 [49,] -1.0205531 0.9407098
 [50,] -1.0620780 0.9287171
 [51,] -1.1837348 0.9190885
 [52,] -1.1518968 0.9162258
 [53,] -1.1122345 0.9080141
 [54,] -1.1415165 0.9050245
 [55,] -1.2007187 0.9001866
 [56,] -1.1981057 0.8974227
 [57,] -1.2339980 0.8939056
 [58,] -1.2667427 0.8848493
 [59,] -1.3312465 0.8790390
 [60,] -1.4441022 0.8686228
 [61,] -1.4193817 0.8575996
 [62,] -1.3518965 0.8508638
 [63,] -1.3536049 0.8480181
 [64,] -1.3767648 0.8440541
 [65,] -1.3445512 0.8375978
 [66,] -1.3574390 0.8316555
 [67,] -1.3254940 0.8279445
 [68,] -1.3226439 0.8227138
 [69,] -1.3449440 0.8202209
 [70,] -1.3583974 0.8133189
 [71,] -1.4055752 0.8096223
 [72,] -1.4328432 0.8010736
 [73,] -1.5151824 0.7914936
 [74,] -1.4976101 0.7901972
 [75,] -1.4936749 0.7887336
 [76,] -1.5749599 0.7744673
 [77,] -1.6005449 0.7704502
 [78,] -1.7031021 0.7596616
 [79,] -1.7147900 0.7575389
 [80,] -1.7965190 0.7467748
 [81,] -1.7659140 0.7417916
 [82,] -1.8063703 0.7361351
 [83,] -1.8518997 0.7209940
 [84,] -1.8351903 0.7180604
 [85,] -1.7549512 0.7117144
 [86,] -1.7543408 0.7107888
 [87,] -1.7942732 0.7004319
 [88,] -1.7371518 0.6928254
 [89,] -1.5898995 0.6774218
 [90,] -1.5405543 0.6739249
 [91,] -1.4997253 0.6699615
 [92,] -1.5092589 0.6573121
 [93,] -1.5221002 0.6546647
 [94,] -1.5287676 0.6513594
 [95,] -1.5165307 0.6386536
 [96,] -1.4755746 0.6358774
 [97,] -1.4429592 0.6321925
 [98,] -1.4895798 0.6194658
 [99,] -1.3582413 0.6075454
[100,] -1.4497053 0.5981371
[101,] -1.3812459 0.5929849
[102,] -1.5730367 0.5785360
[103,] -1.6188665 0.5745166
[104,] -1.7580205 0.5650172
[105,] -1.7620347 0.5618199
[106,] -1.7320712 0.5584462
[107,] -1.6601568 0.5535646
[108,] -1.6787447 0.5507118
[109,] -1.6178896 0.5466870
[110,] -1.6261829 0.5455833
[111,] -1.6536389 0.5387075
[112,] -1.6159860 0.5341636
[113,] -1.6244580 0.5263503
[114,] -1.8264470 0.5072868
[115,] -1.9154134 0.4986236
[116,] -1.9258967 0.4953273
[117,] -1.9293060 0.4929403
[118,] -1.9095284 0.4884288
[119,] -1.9465304 0.4847506
[120,] -1.8186841 0.4716523
> (tri <- trimean(x))
             [,1]      [,2]
  [1,] -0.8410177 1.2219487
  [2,] -0.8409709 1.2046609
  [3,] -0.8531925 1.1889814
  [4,] -0.8657170 1.1744561
  [5,] -0.8735091 1.1609317
  [6,] -0.8811295 1.1469288
  [7,] -0.8928856 1.1330436
  [8,] -0.8957241 1.1199297
  [9,] -0.9028279 1.1070229
 [10,] -0.9155786 1.0945601
 [11,] -0.9295539 1.0829366
 [12,] -0.9407361 1.0743001
 [13,] -0.9407361 1.0656038
 [14,] -0.9615942 1.0575880
 [15,] -0.9697378 1.0503393
 [16,] -0.9785042 1.0431059
 [17,] -0.9904606 1.0360722
 [18,] -1.0011384 1.0291355
 [19,] -1.0150319 1.0226045
 [20,] -1.0295732 1.0159621
 [21,] -1.0457457 1.0094077
 [22,] -1.0585133 1.0030708
 [23,] -1.0712813 0.9968875
 [24,] -1.0881143 0.9910059
 [25,] -1.1030214 0.9852471
 [26,] -1.1030214 0.9794597
 [27,] -1.1378700 0.9737871
 [28,] -1.1575772 0.9681682
 [29,] -1.1777920 0.9623661
 [30,] -1.1964350 0.9567663
 [31,] -1.2149321 0.9510489
 [32,] -1.2336712 0.9451494
 [33,] -1.2529390 0.9393013
 [34,] -1.2705219 0.9335267
 [35,] -1.2894536 0.9277238
 [36,] -1.3087360 0.9216986
 [37,] -1.3280535 0.9154554
 [38,] -1.3523399 0.9096817
 [39,] -1.3745216 0.9040706
 [40,] -1.3945207 0.8987718
 [41,] -1.4147125 0.8935011
 [42,] -1.4355514 0.8880687
 [43,] -1.4561737 0.8829004
 [44,] -1.4771550 0.8775790
 [45,] -1.4973719 0.8721883
 [46,] -1.5179220 0.8670512
 [47,] -1.5388220 0.8617193
 [48,] -1.5589102 0.8563040
 [49,] -1.5589102 0.8513251
 [50,] -1.5900408 0.8463413
 [51,] -1.6047746 0.8416404
 [52,] -1.6047746 0.8371310
 [53,] -1.6290444 0.8325196
 [54,] -1.6429745 0.8280259
 [55,] -1.6563467 0.8234353
 [56,] -1.6683721 0.8188215
 [57,] -1.6806613 0.8140900
 [58,] -1.6922229 0.8092678
 [59,] -1.7031358 0.8045822
 [60,] -1.7125906 0.7999010
 [61,] -1.7193592 0.7954163
 [62,] -1.7268607 0.7911519
 [63,] -1.7268607 0.7869335
 [64,] -1.7455877 0.7826030
 [65,] -1.7546078 0.7782009
 [66,] -1.7645687 0.7738231
 [67,] -1.7743949 0.7694495
 [68,] -1.7851627 0.7649825
 [69,] -1.7961926 0.7604812
 [70,] -1.8068942 0.7558287
 [71,] -1.8174747 0.7512019
 [72,] -1.8271437 0.7464661
 [73,] -1.8363563 0.7418199
 [74,] -1.8438274 0.7373122
 [75,] -1.8518479 0.7325881
 [76,] -1.8601134 0.7276420
 [77,] -1.8666703 0.7230212
 [78,] -1.8727695 0.7182910
 [79,] -1.8766461 0.7137422
 [80,] -1.8803340 0.7089995
 [81,] -1.8822388 0.7044334
 [82,] -1.8848766 0.6997933
 [83,] -1.8866532 0.6951051
 [84,] -1.8874383 0.6907874
 [85,] -1.8886168 0.6863109
 [86,] -1.8916281 0.6818178
 [87,] -1.8947178 0.6770596
 [88,] -1.8969767 0.6724552
 [89,] -1.9005691 0.6678817
 [90,] -1.9075505 0.6636951
 [91,] -1.9157976 0.6593640
 [92,] -1.9251499 0.6549000
 [93,] -1.9345027 0.6507097
 [94,] -1.9437841 0.6463306
 [95,] -1.9531337 0.6417804
 [96,] -1.9629819 0.6375049
 [97,] -1.9739926 0.6330277
 [98,] -1.9739926 0.6283792
 [99,] -1.9972668 0.6240130
[100,] -2.0117901 0.6198796
[101,] -2.0245971 0.6158940
[102,] -2.0392967 0.6118236
[103,] -2.0499826 0.6081778
[104,] -2.0499826 0.6044201
[105,] -2.0668622 0.6008379
[106,] -2.0739238 0.5970947
[107,] -2.0818759 0.5931839
[108,] -2.0917292 0.5891693
[109,] -2.0917292 0.5849381
[110,] -2.1128308 0.5805283
[111,] -2.1243718 0.5757621
[112,] -2.1355976 0.5709570
[113,] -2.1480616 0.5659566
[114,] -2.1606988 0.5609545
[115,] -2.1606988 0.5566800
[116,] -2.1750157 0.5525126
[117,] -2.1811517 0.5481109
[118,] -2.1874009 0.5433920
[119,] -2.1943497 0.5384655
[120,] -2.2005972 0.5332596
> (midr <- midrange(x))
[1] 34.01174
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -1.991473 -1.907550 -1.991473 -1.907550 -1.907550 -1.991473 -1.907550
[8] -1.900569
> postscript(file="/var/wessaorg/rcomp/tmp/16isx1322745341.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/2z9ht1322745341.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/30oyt1322745341.tab") 
> 
> try(system("convert tmp/16isx1322745341.ps tmp/16isx1322745341.png",intern=TRUE))
character(0)
> try(system("convert tmp/2z9ht1322745341.ps tmp/2z9ht1322745341.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.189   0.132   2.327