R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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(4000
+ ,3600
+ ,1600
+ ,2500
+ ,3800
+ ,3500
+ ,4100
+ ,2000
+ ,3300
+ ,4000
+ ,4100
+ ,4200
+ ,1100
+ ,1900
+ ,4800
+ ,4000
+ ,3250
+ ,1200
+ ,3600
+ ,3400
+ ,3600
+ ,3300
+ ,1300
+ ,2500
+ ,3800
+ ,3800
+ ,3000
+ ,1600
+ ,2100
+ ,3900
+ ,4000
+ ,3900
+ ,2300
+ ,3600
+ ,3600
+ ,4200
+ ,4400
+ ,1900
+ ,2700
+ ,3600
+ ,4100
+ ,5250
+ ,1200
+ ,3000
+ ,4000
+ ,5200
+ ,2100
+ ,3400
+ ,5200
+ ,6900
+ ,2300
+ ,4100
+ ,4300
+ ,4500
+ ,4700
+ ,2200
+ ,2900
+ ,4400
+ ,5100
+ ,2300
+ ,3500
+ ,4100
+ ,4700
+ ,5400
+ ,2500
+ ,3500
+ ,3900
+ ,4100
+ ,4500
+ ,1800
+ ,4900
+ ,4500
+ ,3700
+ ,3100
+ ,1700
+ ,4000
+ ,4200
+ ,4300
+ ,3600
+ ,2600
+ ,4600
+ ,4000
+ ,2900
+ ,1800
+ ,3000
+ ,4200
+ ,4400
+ ,4900
+ ,2300
+ ,2400
+ ,3600
+ ,3900
+ ,2800
+ ,3800
+ ,4400
+ ,4200
+ ,5400
+ ,2300
+ ,3500
+ ,3800
+ ,4400
+ ,4400
+ ,2500
+ ,3700
+ ,3500
+ ,3300
+ ,3700
+ ,2200
+ ,3200
+ ,3100
+ ,4800
+ ,4400
+ ,2500
+ ,3100
+ ,4700
+ ,4300
+ ,4600
+ ,3100
+ ,3200
+ ,4300
+ ,4000
+ ,4500
+ ,2600
+ ,3600
+ ,4700
+ ,3800
+ ,4100
+ ,1700
+ ,3200
+ ,4000
+ ,3700
+ ,3600
+ ,2500
+ ,3800
+ ,4500
+ ,3500
+ ,4100
+ ,2300
+ ,3400
+ ,4800
+ ,4900
+ ,2600
+ ,3300
+ ,3900
+ ,3800
+ ,5000
+ ,1700
+ ,2700
+ ,4000
+ ,3300
+ ,4000
+ ,2500
+ ,3600
+ ,3800
+ ,5900
+ ,3600
+ ,3300
+ ,4000
+ ,4200
+ ,4300
+ ,2900
+ ,3900
+ ,5200
+ ,4000
+ ,4700
+ ,2200
+ ,2400
+ ,3700
+ ,3700
+ ,3000
+ ,2100
+ ,3500
+ ,6300
+ ,5200
+ ,7800
+ ,2700
+ ,3400
+ ,5000
+ ,5500
+ ,4500
+ ,2600
+ ,3900
+ ,3800
+ ,4400
+ ,4300
+ ,3300
+ ,3600
+ ,5300
+ ,3700
+ ,3800
+ ,4000
+ ,5200
+ ,5100
+ ,5100
+ ,5200
+ ,3800
+ ,6700
+ ,5200
+ ,4900
+ ,5700
+ ,2700
+ ,6300
+ ,5200
+ ,4500
+ ,6400
+ ,4000
+ ,3500
+ ,4700
+ ,4700
+ ,5000
+ ,2300
+ ,5200
+ ,5100
+ ,5400
+ ,4400
+ ,2600
+ ,4700
+ ,6100
+ ,6100
+ ,3500
+ ,4900
+ ,5500
+ ,5300
+ ,6300
+ ,2800
+ ,5900
+ ,5500
+ ,5200
+ ,6400
+ ,3100
+ ,5100
+ ,5400
+ ,5400
+ ,5100
+ ,2400
+ ,5500
+ ,5300
+ ,5000
+ ,4500
+ ,2000
+ ,3800
+ ,4900
+ ,5000
+ ,4000
+ ,1900
+ ,5200
+ ,5400
+ ,3200
+ ,800
+ ,3800
+ ,4300
+ ,2700)
> 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] 3873.413
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 74.83692
> (armose <- arm / armse)
[1] 51.75805
> (geo <- geomean(x))
[1] 3665.383
> (har <- harmean(x))
[1] 3413.63
> (qua <- quamean(x))
[1] 4050.811
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 3871.032 73.98564
 [2,] 3870.238 73.61807
 [3,] 3866.667 73.09794
 [4,] 3868.254 72.87115
 [5,] 3872.222 71.80675
 [6,] 3872.222 71.80675
 [7,] 3875.000 71.46323
 [8,] 3868.651 70.63432
 [9,] 3868.651 70.63432
[10,] 3864.683 69.19082
[11,] 3864.683 69.19082
[12,] 3859.921 67.55716
[13,] 3849.603 66.48678
[14,] 3849.603 66.48678
[15,] 3855.556 65.80467
[16,] 3855.556 65.80467
[17,] 3855.556 64.40103
[18,] 3855.556 64.40103
[19,] 3855.556 64.40103
[20,] 3863.492 63.55615
[21,] 3863.492 63.55615
[22,] 3863.492 63.55615
[23,] 3863.492 61.75708
[24,] 3863.492 61.75708
[25,] 3863.492 61.75708
[26,] 3858.333 61.28466
[27,] 3852.976 60.80590
[28,] 3852.976 60.80590
[29,] 3852.976 60.80590
[30,] 3864.881 59.61730
[31,] 3864.881 59.61730
[32,] 3864.881 59.61730
[33,] 3877.976 58.36013
[34,] 3877.976 58.36013
[35,] 3877.976 58.36013
[36,] 3877.976 58.36013
[37,] 3877.976 58.36013
[38,] 3862.897 57.02771
[39,] 3862.897 57.02771
[40,] 3878.770 55.54370
[41,] 3878.770 55.54370
[42,] 3878.770 55.54370
[43,] 3878.770 55.54370
[44,] 3861.310 54.04572
[45,] 3879.167 52.41483
[46,] 3879.167 52.41483
[47,] 3879.167 52.41483
[48,] 3879.167 52.41483
[49,] 3859.722 50.79269
[50,] 3879.563 49.01923
[51,] 3879.563 49.01923
[52,] 3900.198 47.24305
[53,] 3900.198 47.24305
[54,] 3900.198 47.24305
[55,] 3900.198 43.60598
[56,] 3900.198 43.60598
[57,] 3900.198 43.60598
[58,] 3877.183 41.75551
[59,] 3900.595 39.83746
[60,] 3900.595 39.83746
[61,] 3900.595 39.83746
[62,] 3900.595 39.83746
[63,] 3900.595 39.83746
[64,] 3925.992 37.84917
[65,] 3925.992 37.84917
[66,] 3899.802 35.75939
[67,] 3899.802 35.75939
[68,] 3886.310 32.64448
[69,] 3900.000 31.59477
[70,] 3900.000 31.59477
[71,] 3900.000 31.59477
[72,] 3900.000 31.59477
[73,] 3900.000 31.59477
[74,] 3900.000 31.59477
[75,] 3900.000 31.59477
[76,] 3900.000 27.09040
[77,] 3900.000 27.09040
[78,] 3900.000 27.09040
[79,] 3900.000 27.09040
[80,] 3931.746 24.82024
[81,] 3931.746 24.82024
[82,] 3931.746 24.82024
[83,] 3931.746 24.82024
[84,] 3931.746 24.82024
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 3870.000 72.74094
 [2,] 3868.952 71.42804
 [3,] 3868.293 70.24427
 [4,] 3868.852 69.19150
 [5,] 3869.008 68.14755
 [6,] 3868.333 67.29926
 [7,] 3867.647 66.40588
 [8,] 3866.525 65.52522
 [9,] 3866.239 64.72895
[10,] 3865.948 63.88957
[11,] 3866.087 63.19607
[12,] 3866.228 62.46491
[13,] 3866.814 61.88073
[14,] 3868.304 61.37765
[15,] 3869.820 60.84662
[16,] 3870.909 60.35195
[17,] 3872.018 59.82936
[18,] 3873.148 59.40040
[19,] 3874.299 58.94656
[20,] 3875.472 58.46624
[21,] 3876.190 58.02553
[22,] 3876.923 57.55861
[23,] 3877.670 57.06374
[24,] 3878.431 56.67126
[25,] 3879.208 56.25447
[26,] 3880.000 55.81173
[27,] 3881.061 55.37358
[28,] 3882.398 54.93962
[29,] 3883.763 54.47776
[30,] 3885.156 53.98602
[31,] 3886.053 53.54218
[32,] 3886.968 53.06902
[33,] 3887.903 52.56437
[34,] 3888.315 52.10791
[35,] 3888.736 51.62040
[36,] 3889.167 51.09945
[37,] 3889.607 50.54244
[38,] 3890.057 49.94643
[39,] 3891.092 49.39293
[40,] 3892.151 48.79965
[41,] 3892.647 48.26012
[42,] 3893.155 47.68098
[43,] 3893.675 47.05875
[44,] 3894.207 46.38955
[45,] 3895.370 45.76582
[46,] 3895.938 45.20214
[47,] 3896.519 44.59434
[48,] 3897.115 43.93826
[49,] 3897.727 43.22915
[50,] 3899.013 42.56930
[51,] 3899.667 41.97713
[52,] 3900.338 41.33532
[53,] 3900.342 40.76065
[54,] 3900.347 40.13652
[55,] 3900.352 39.45772
[56,] 3900.357 38.96957
[57,] 3900.362 38.43748
[58,] 3900.368 37.85686
[59,] 3901.119 37.35018
[60,] 3901.136 36.92927
[61,] 3901.154 36.46772
[62,] 3901.172 35.96115
[63,] 3901.190 35.40453
[64,] 3901.210 34.79203
[65,] 3900.410 34.26555
[66,] 3899.583 33.68423
[67,] 3899.576 33.20540
[68,] 3899.569 32.67495
[69,] 3900.000 32.32443
[70,] 3900.000 32.01210
[71,] 3900.000 31.66231
[72,] 3900.000 31.27055
[73,] 3900.000 30.83154
[74,] 3900.000 30.33913
[75,] 3900.000 29.78601
[76,] 3900.000 29.16342
[77,] 3900.000 28.86448
[78,] 3900.000 28.52361
[79,] 3900.000 28.13505
[80,] 3900.000 27.69191
[81,] 3898.889 27.39157
[82,] 3897.727 27.04428
[83,] 3896.512 26.64288
[84,] 3895.238 26.17874
> (midr <- midrange(x))
[1] 4300
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 3907.037 3907.037 3907.037 3907.037 3907.037 3907.037 3907.037 3907.037
> postscript(file="/var/www/html/rcomp/tmp/12dg91243860158.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/2kz3w1243860158.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/3miiu1243860158.tab") 
> 
> system("convert tmp/12dg91243860158.ps tmp/12dg91243860158.png")
> system("convert tmp/2kz3w1243860158.ps tmp/2kz3w1243860158.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.321   0.350   1.450