R version 2.9.0 (2009-04-17)
Copyright (C) 2009 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.
Type 'q()' to quit R.

> x <- c(1149822
+ ,1086979
+ ,1276674
+ ,1522522
+ ,1742117
+ ,1737275
+ ,1979900
+ ,2061036
+ ,1867943
+ ,1707752
+ ,1298756
+ ,1281814
+ ,1281151
+ ,1164976
+ ,1454329
+ ,1645288
+ ,1817743
+ ,1895785
+ ,2236311
+ ,2295951
+ ,2087315
+ ,1980891
+ ,1465446
+ ,1445026
+ ,1488120
+ ,1338333
+ ,1715789
+ ,1806090
+ ,2083316
+ ,2092278
+ ,2430800
+ ,2424894
+ ,2299016
+ ,2130688
+ ,1652221
+ ,1608162
+ ,1647074
+ ,1479691
+ ,1884978
+ ,2007898
+ ,2208954
+ ,2217164
+ ,2534291
+ ,2560312
+ ,2429069
+ ,2315077
+ ,1799608
+ ,1772590
+ ,1744799
+ ,1659093
+ ,2099821
+ ,2135736
+ ,2427894
+ ,2468882
+ ,2703217
+ ,2766841
+ ,2655236
+ ,2550373
+ ,2052097
+ ,1998055
+ ,1920748
+ ,1876694
+ ,2380930
+ ,2467402
+ ,2770771
+ ,2781340
+ ,3143926
+ ,3172235
+ ,2952540
+ ,2920877
+ ,2384552
+ ,2248987
+ ,2208616
+ ,2178756
+ ,2632870
+ ,2706905
+ ,3029745
+ ,3015402
+ ,3391414
+ ,3507805
+ ,3177852
+ ,3142961
+ ,2545815
+ ,2414007
+ ,2372578
+ ,2332664
+ ,2825328
+ ,2901478
+ ,3263955
+ ,3226738
+ ,3610786
+ ,3709274
+ ,3467185
+ ,3449646
+ ,2802951
+ ,2462530
+ ,2490645
+ ,2561520
+ ,3067554
+ ,3226951
+ ,3546493
+ ,3492787
+ ,3952263
+ ,3932072
+ ,3720284
+ ,3651555
+ ,2914972
+ ,2713514
+ ,2703997
+ ,2591373
+ ,3163748
+ ,3355137
+ ,3613702
+ ,3686773
+ ,4098716
+ ,4063517
+ ,3551489
+ ,3226663
+ ,2656842
+ ,2597484
+ ,2572399
+ ,2596631
+ ,3165225
+ ,3303145
+ ,3698247
+ ,3668631
+ ,4130433
+ ,4131400
+ ,3864358
+ ,3721110
+ ,2892532
+ ,2843451
+ ,2747502
+ ,2668775
+ ,3018602
+ ,3013392
+ ,3393657
+ ,3544233
+ ,4075832
+ ,4032923
+ ,3734509
+ ,3761285
+ ,2970090
+ ,2847849
+ ,2741680
+ ,2830639
+ ,3257673
+ ,3480085
+ ,3843271
+ ,3796961
+ ,4337767
+ ,4243630
+ ,3927202
+ ,3915296
+ ,3087396
+ ,2963792
+ ,2955792
+ ,2829925
+ ,3281195
+ ,3548011
+ ,4059648
+ ,3941175
+ ,4528594
+ ,4433151
+ ,4145737
+ ,4077132
+ ,3198519
+ ,3078660
+ ,3028202
+ ,2858642
+ ,3398954
+ ,3808883
+ ,4175961
+ ,4227542
+ ,4744616
+ ,4608012
+ ,4295049
+ ,4201144
+ ,3353276
+ ,3286851
+ ,3169889
+ ,3051720
+ ,3695426
+ ,3905501
+ ,4296458
+ ,4246247
+ ,4921849
+ ,4821446
+ ,4425064
+ ,4379099
+ ,3472889
+ ,3359160
+ ,3200944
+ ,3153170
+ ,3741498
+ ,3918719
+ ,4403449
+ ,4400407
+ ,4847473
+ ,4716136
+ ,4297440
+ ,4272253
+ ,3271834
+ ,3168388
+ ,2911748
+ ,2720999
+ ,3199918
+ ,3672623
+ ,3892013
+ ,3850845
+ ,4532467
+ ,4484739
+ ,4014972
+ ,3983758
+ ,3158459
+ ,3100569
+ ,2935404
+ ,2855719
+ ,3465611
+ ,3006985
+ ,4095110
+ ,4104793
+ ,4730788
+ ,4642726
+ ,4246919
+ ,4308117)
> 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] 3029149
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 60924.04
> (armose <- arm / armse)
[1] 49.72009
> (geo <- geomean(x))
[1] 2875809
> (har <- harmean(x))
[1] 2706350
> (qua <- quamean(x))
[1] 3163998
> (win <- winmean(x))
         [,1]     [,2]
 [1,] 3029098 60840.68
 [2,] 3029001 60791.95
 [3,] 3029464 60464.27
 [4,] 3029299 60423.32
 [5,] 3028989 60381.03
 [6,] 3027490 60085.89
 [7,] 3027641 59803.19
 [8,] 3028743 59032.43
 [9,] 3028960 58970.91
[10,] 3027511 58695.91
[11,] 3025693 58340.92
[12,] 3025712 58242.36
[13,] 3026447 57879.88
[14,] 3031564 57260.45
[15,] 3032614 56841.09
[16,] 3029814 56522.84
[17,] 3027971 56253.27
[18,] 3027668 56108.09
[19,] 3031676 55661.79
[20,] 3032262 55574.16
[21,] 3032141 55152.09
[22,] 3030146 54858.12
[23,] 3030351 54822.91
[24,] 3033024 54490.00
[25,] 3034233 54009.29
[26,] 3031942 53637.31
[27,] 3030325 53206.39
[28,] 3032800 52226.57
[29,] 3032083 51941.76
[30,] 3033055 51821.19
[31,] 3031020 51346.42
[32,] 3033694 50921.10
[33,] 3041805 50045.11
[34,] 3039249 49779.22
[35,] 3041706 49510.44
[36,] 3041312 49182.13
[37,] 3047915 48455.08
[38,] 3044925 47903.36
[39,] 3045672 47270.79
[40,] 3040855 46707.05
[41,] 3036041 46116.65
[42,] 3035383 45807.76
[43,] 3039524 45126.10
[44,] 3039558 44954.93
[45,] 3046435 44048.74
[46,] 3051816 43459.20
[47,] 3049849 43273.69
[48,] 3048728 42872.14
[49,] 3046884 41993.62
[50,] 3046698 41495.45
[51,] 3055587 40452.75
[52,] 3048380 39714.63
[53,] 3049351 39162.18
[54,] 3045029 38094.59
[55,] 3049927 36892.71
[56,] 3050265 36579.99
[57,] 3047799 36225.62
[58,] 3055146 35597.91
[59,] 3055114 35132.58
[60,] 3052983 34827.40
[61,] 3052539 34739.44
[62,] 3050640 34506.67
[63,] 3055540 33482.25
[64,] 3055790 33281.19
[65,] 3051304 32847.27
[66,] 3046605 31455.28
[67,] 3058680 30381.01
[68,] 3044306 28692.25
[69,] 3044635 28501.51
[70,] 3047244 28227.93
[71,] 3046913 28143.06
[72,] 3038774 26972.70
[73,] 3040052 26129.07
[74,] 3037614 25678.27
[75,] 3035509 25474.09
> (tri <- trimean(x))
         [,1]     [,2]
 [1,] 3029369 60259.75
 [2,] 3029646 59646.71
 [3,] 3029977 59025.89
 [4,] 3030155 58491.83
 [5,] 3030379 57939.15
 [6,] 3030672 57364.74
 [7,] 3031238 56816.29
 [8,] 3031791 56285.64
 [9,] 3032205 55844.93
[10,] 3032600 55386.61
[11,] 3033164 54936.72
[12,] 3033924 54502.66
[13,] 3034697 54053.05
[14,] 3035421 53614.83
[15,] 3035739 53212.95
[16,] 3035982 52826.33
[17,] 3036436 52444.26
[18,] 3037028 52061.22
[19,] 3037653 51665.29
[20,] 3038035 51280.81
[21,] 3038390 50877.40
[22,] 3038759 50480.34
[23,] 3039251 50078.76
[24,] 3039742 49651.71
[25,] 3040102 49220.03
[26,] 3040407 48793.70
[27,] 3040834 48363.93
[28,] 3041352 47934.07
[29,] 3041763 47542.85
[30,] 3042217 47142.09
[31,] 3042217 46719.18
[32,] 3043161 46296.78
[33,] 3043579 45871.16
[34,] 3043655 45472.60
[35,] 3043843 45060.04
[36,] 3043933 44632.33
[37,] 3044041 44191.96
[38,] 3043883 43764.79
[39,] 3043841 43339.22
[40,] 3043769 42920.28
[41,] 3043883 42503.23
[42,] 3044188 42089.34
[43,] 3044526 41659.31
[44,] 3044717 41237.31
[45,] 3044911 40788.07
[46,] 3044854 40360.26
[47,] 3044595 39932.70
[48,] 3044401 39476.84
[49,] 3044242 39005.19
[50,] 3044145 38550.41
[51,] 3044052 38085.90
[52,] 3043633 37649.71
[53,] 3043461 37222.43
[54,] 3043248 36790.28
[55,] 3043184 36391.03
[56,] 3042941 36036.45
[57,] 3042677 35663.82
[58,] 3042492 35274.40
[59,] 3042036 34886.63
[60,] 3041563 34488.23
[61,] 3041563 34065.19
[62,] 3041149 33596.13
[63,] 3040375 33087.68
[64,] 3039820 32603.55
[65,] 3039232 32073.27
[66,] 3038786 31513.05
[67,] 3038495 31009.54
[68,] 3037738 30535.49
[69,] 3037490 30157.03
[70,] 3037218 29738.49
[71,] 3036832 29281.87
[72,] 3036441 28761.96
[73,] 3036350 28287.28
[74,] 3036203 27827.12
[75,] 3036146 27339.58
> (midr <- midrange(x))
[1] 3004414
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 3036821 3042941 3042941 3042941 3042677 3042941 3042941 3042941
> postscript(file="/var/www/html/rcomp/tmp/1jrjh1291975159.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/html/rcomp/tmp/2jrjh1291975159.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/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/3luay1291975159.tab") 
> 
> try(system("convert tmp/1jrjh1291975159.ps tmp/1jrjh1291975159.png",intern=TRUE))
character(0)
> try(system("convert tmp/2jrjh1291975159.ps tmp/2jrjh1291975159.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.149   0.376   2.479