R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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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(1160.9
+ ,1470.1
+ ,1653
+ ,1390
+ ,1550.7
+ ,1852.1
+ ,1797.9
+ ,1256.4
+ ,1835.5
+ ,1793.2
+ ,1874.8
+ ,1948.6
+ ,1819.9
+ ,1823.6
+ ,2042.7
+ ,1705.9
+ ,1876.8
+ ,1919.5
+ ,1803.4
+ ,1380.4
+ ,1812.1
+ ,1856.4
+ ,1934.3
+ ,1977.5
+ ,1813.7
+ ,1937.1
+ ,2178.7
+ ,1699.9
+ ,1943.8
+ ,2151
+ ,1927.7
+ ,1418.2
+ ,1899.8
+ ,1974.9
+ ,1918.7
+ ,1818.3
+ ,1751
+ ,1888
+ ,1947.7
+ ,1818.1
+ ,2110.8
+ ,2009
+ ,2124.2
+ ,1542.5
+ ,2044.1
+ ,2324.3
+ ,2055.6
+ ,2137.9
+ ,2140.7
+ ,2301.5
+ ,2412.6
+ ,2477
+ ,2311.8
+ ,2326.6
+ ,2745.3
+ ,1937.2
+ ,2668.7
+ ,2636.1
+ ,2327.6
+ ,2584.6
+ ,2282.8
+ ,2337
+ ,2499.3
+ ,2389.6
+ ,2327.1
+ ,2556.6
+ ,2580
+ ,1831.4
+ ,2382.1
+ ,2237.9
+ ,2117.7
+ ,2240.9
+ ,1946.1
+ ,2149.6
+ ,2690
+ ,2171.1
+ ,2358.6
+ ,2841.4
+ ,3064.6
+ ,2037.3
+ ,2799.9
+ ,2852.3
+ ,2541.2
+ ,2910
+ ,2694.6
+ ,3081.7
+ ,3648.2
+ ,2823.3
+ ,3670.1
+ ,3027.6
+ ,3578.5
+ ,2655.1
+ ,3835.3
+ ,3766
+ ,3716
+ ,3531.7
+ ,3194
+ ,3442.2
+ ,3610
+ ,3105.5
+ ,3428.4
+ ,3489.7
+ ,3679
+ ,2596.1
+ ,3110.7
+ ,3401.7
+ ,3431.8
+ ,3383.1
+ ,3797.5
+ ,3860.5
+ ,4054.1
+ ,4044.9
+ ,4402.4
+ ,4046.4
+ ,4329.7
+ ,3204.2
+ ,4037.2
+ ,4678.4
+ ,4174.6
+ ,4151.4
+ ,3874.7
+ ,3568
+ ,3431
+ ,3733.2
+ ,3278.3
+ ,3583.7
+ ,4060.3
+ ,2979
+ ,4078.4
+ ,4002.1
+ ,3542.4
+ ,3928.2
+ ,3626
+ ,3998.4
+ ,4413.5
+ ,3853.1
+ ,3920.5
+ ,4616.2
+ ,4332.7
+ ,3362.7
+ ,3855.4
+ ,4087.1
+ ,3860.2
+ ,4018.1
+ ,3627.7
+ ,3996
+ ,4420.7
+ ,4386.5
+ ,4631.8
+ ,4875.3
+ ,4549.3
+ ,3933
+ ,4963.3
+ ,4419.7
+ ,4646.7
+ ,5000.2
+ ,4302.2
+ ,4432.1
+ ,5125.5
+ ,4299.9
+ ,5145.6
+ ,4537.8
+ ,4880.9
+ ,4136.9
+ ,4668.8
+ ,4818.5
+ ,4933.9
+ ,4524.4
+ ,4676.1
+ ,4911
+ ,5745
+ ,4483.7
+ ,4772.7
+ ,5021.4
+ ,5535.6
+ ,4736
+ ,5001.7
+ ,5486.3
+ ,4958.5
+ ,4756.4
+ ,4763.3
+ ,4951.2
+ ,4692.8
+ ,5301.2
+ ,4929.7
+ ,5223.3
+ ,5708.3
+ ,4018)
> 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] 3215.95
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 85.75549
> (armose <- arm / armse)
[1] 37.50139
> (geo <- geomean(x))
[1] 2993.406
> (har <- harmean(x))
[1] 2773.801
> (qua <- quamean(x))
[1] 3423.088
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 3216.263 85.66129
 [2,] 3215.745 85.22798
 [3,] 3215.111 85.09697
 [4,] 3211.773 84.48697
 [5,] 3211.081 84.06257
 [6,] 3210.912 83.49879
 [7,] 3210.469 83.37390
 [8,] 3210.393 82.38962
 [9,] 3211.695 82.05509
[10,] 3211.934 82.01439
[11,] 3212.414 81.50843
[12,] 3214.801 81.21804
[13,] 3214.621 81.12979
[14,] 3213.743 80.94465
[15,] 3214.102 80.84207
[16,] 3212.646 80.64952
[17,] 3210.322 80.30798
[18,] 3209.805 80.24663
[19,] 3204.227 79.60176
[20,] 3199.748 79.04167
[21,] 3199.569 78.84914
[22,] 3199.241 78.71914
[23,] 3198.777 78.26857
[24,] 3193.811 77.64372
[25,] 3194.343 77.22199
[26,] 3194.301 77.16405
[27,] 3194.861 76.90998
[28,] 3193.327 76.41453
[29,] 3193.944 75.91836
[30,] 3191.582 75.65548
[31,] 3181.903 74.43642
[32,] 3181.069 74.14338
[33,] 3179.209 73.86958
[34,] 3171.866 73.15661
[35,] 3163.488 72.13323
[36,] 3161.746 71.88853
[37,] 3161.864 71.84163
[38,] 3160.793 71.70799
[39,] 3163.946 71.00213
[40,] 3161.116 70.63788
[41,] 3156.253 68.94479
[42,] 3161.905 68.32403
[43,] 3156.850 67.64305
[44,] 3156.639 67.56547
[45,] 3129.400 64.66771
[46,] 3137.230 62.98973
[47,] 3135.330 62.52819
[48,] 3124.274 61.30498
[49,] 3125.578 60.80391
[50,] 3121.509 60.33724
[51,] 3122.241 59.98780
[52,] 3120.498 59.77755
[53,] 3125.742 59.25266
[54,] 3125.713 58.88147
[55,] 3137.445 56.94256
[56,] 3138.309 56.86465
[57,] 3146.191 55.40060
[58,] 3150.819 54.82690
[59,] 3153.298 54.49728
[60,] 3137.181 52.52129
[61,] 3136.370 52.33342
[62,] 3133.996 52.11457
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 3213.402 84.88104
 [2,] 3210.478 84.04794
 [3,] 3210.478 83.39529
 [4,] 3205.198 82.74597
 [5,] 3203.462 82.22681
 [6,] 3203.462 81.76922
 [7,] 3200.200 81.38947
 [8,] 3198.597 81.00059
 [9,] 3196.966 80.73432
[10,] 3195.135 80.48988
[11,] 3193.232 80.22593
[12,] 3193.232 79.99740
[13,] 3188.954 79.77691
[14,] 3186.634 79.54116
[15,] 3184.330 79.29855
[16,] 3181.938 79.03899
[17,] 3179.595 78.76956
[18,] 3177.359 78.50249
[19,] 3175.100 78.21101
[20,] 3173.153 77.94480
[21,] 3171.440 77.69590
[22,] 3169.692 77.43264
[23,] 3167.913 77.14813
[24,] 3167.913 76.86593
[25,] 3164.539 76.59943
[26,] 3162.891 76.33164
[27,] 3161.196 76.03351
[28,] 3159.420 75.71708
[29,] 3157.669 75.39888
[30,] 3155.832 75.07738
[31,] 3155.832 74.73431
[32,] 3152.692 74.44008
[33,] 3151.325 74.12638
[34,] 3150.002 73.78957
[35,] 3148.977 73.46054
[36,] 3148.305 73.16188
[37,] 3147.689 72.83605
[38,] 3147.046 72.46473
[39,] 3146.428 72.04965
[40,] 3145.646 71.62984
[41,] 3144.960 71.17773
[42,] 3144.463 70.79408
[43,] 3143.697 70.39821
[44,] 3143.122 69.99380
[45,] 3142.533 69.52953
[46,] 3143.104 69.22881
[47,] 3143.360 69.00480
[48,] 3143.360 68.76439
[49,] 3144.554 68.56646
[50,] 3145.382 68.35545
[51,] 3145.382 68.12503
[52,] 3147.487 67.86244
[53,] 3148.677 67.54958
[54,] 3149.694 67.20944
[55,] 3150.764 66.82159
[56,] 3151.363 66.53310
[57,] 3151.955 66.16917
[58,] 3152.219 65.86031
[59,] 3152.284 65.51905
[60,] 3152.237 65.11234
[61,] 3152.952 64.81207
[62,] 3152.952 64.42797
> (midr <- midrange(x))
[1] 3452.95
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 3132.491 3143.360 3132.491 3143.360 3143.360 3132.491 3143.360 3143.104
> postscript(file="/var/www/html/rcomp/tmp/1je4e1228231705.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/2h2yk1228231705.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 
> 
> #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/342kq1228231706.tab") 
> 
> system("convert tmp/1je4e1228231705.ps tmp/1je4e1228231705.png")
> system("convert tmp/2h2yk1228231705.ps tmp/2h2yk1228231705.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.991   0.354   1.125