R version 2.11.1 (2010-05-31)
Copyright (C) 2010 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(2.5313084961454E-14
+ ,0.0070484873310255
+ ,-3.5971225997855E-14
+ ,-3.5971225997855E-14
+ ,-3.5971225997855E-14
+ ,-0.0070484873310361
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,0.0070484873310255
+ ,-0.0070484873310361
+ ,0.0070484873310255
+ ,-3.5971225997855E-14
+ ,-3.5971225997855E-14
+ ,-0.22336306618724
+ ,-1.2434497875802E-14
+ ,-1.2434497875802E-14
+ ,0.029207051746288
+ ,2.1316282072803E-14
+ ,2.1316282072803E-14
+ ,-0.029207051746279
+ ,-1.2434497875802E-14
+ ,-1.2434497875802E-14
+ ,0.029207051746288
+ ,2.1316282072803E-14
+ ,2.1316282072803E-14
+ ,2.1316282072803E-14
+ ,2.1316282072803E-14
+ ,-0.25344890080958
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,0.0027434859457602
+ ,-0.0027434859457909
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,0.0027434859457602
+ ,-0.041964199098991
+ ,0.039220713153242
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,0.0027434859457602
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,-0.0027434859457909
+ ,-3.9968028886506E-14
+ ,-3.9968028886506E-14
+ ,-0.06234313057414
+ ,-3.9968028886506E-15
+ ,-3.9968028886506E-15
+ ,-0.053295913866004
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,-0.013975382737553
+ ,4.8849813083507E-14
+ ,4.8849813083507E-14
+ ,-0.019740080385951
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,0.014252022707225
+ ,2.3980817331903E-14
+ ,-0.014252022707176
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,0.014252022707225
+ ,2.3980817331903E-14
+ ,2.3980817331903E-14
+ ,2.3980817331903E-14
+ ,2.3980817331903E-14
+ ,2.3980817331903E-14
+ ,2.3980817331903E-14
+ ,-0.058268908123976
+ ,-4.4408920985006E-16
+ ,0.058268908124
+ ,2.3980817331903E-14
+ ,2.3980817331903E-14
+ ,-0.014252022707176
+ ,0.014252022707225
+ ,-0.014252022707176
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,2.5313084961454E-14
+ ,0.0047732787526256
+ ,0.0094787439545678
+ ,2.3980817331903E-14
+ ,-0.014252022707176
+ ,2.5313084961454E-14
+ ,-0.059130523226774
+ ,4.7961634663807E-14
+ ,4.7961634663807E-14
+ ,4.7961634663807E-14
+ ,-0.013628831055652
+ ,0.013628831055654
+ ,4.7961634663807E-14
+ ,-0.027445976608752
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-0.026433257068204
+ ,-0.018018505502649
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,0.018018505502629
+ ,-0.018018505502649
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,0.018018505502629
+ ,-0.018018505502649
+ ,2.9309887850104E-14
+ ,0.018018505502629
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-0.018018505502649
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,0.018018505502629
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-0.018018505502649
+ ,0.018018505502629
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-0.018018505502649
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,0.018018505502629
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,-0.018018505502649
+ ,2.9309887850104E-14
+ ,2.9309887850104E-14
+ ,0.018018505502629
+ ,-4.8849813083507E-14
+ ,-4.8849813083507E-14
+ ,0.025563313559651
+ ,-0.089149906971764
+ ,-0.049742091894859
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,0.049742091894854
+ ,4.0412118096356E-14
+ ,0.08914990697184
+ ,3.5527136788005E-14
+ ,-0.089149906971764
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,0.08914990697184
+ ,-0.089149906971764
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14)
> 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] -0.003832536
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.002174412
> (armose <- arm / armse)
[1] -1.762562
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -3.328476e-13
> (qua <- quamean(x))
[1] 0.03091236
> (win <- winmean(x))
               [,1]         [,2]
 [1,] -3.682107e-03 2.091247e-03
 [2,] -2.648786e-03 1.438651e-03
 [3,] -2.776688e-03 1.413084e-03
 [4,] -2.987115e-03 1.377186e-03
 [5,] -2.567288e-03 1.145468e-03
 [6,] -2.470909e-03 1.120582e-03
 [7,] -2.568284e-03 1.095604e-03
 [8,] -2.671156e-03 1.009963e-03
 [9,] -2.511234e-03 9.702508e-04
[10,] -2.122340e-03 8.781943e-04
[11,] -1.420697e-03 7.299169e-04
[12,] -1.315032e-03 7.100351e-04
[13,] -1.249205e-03 6.979796e-04
[14,] -7.806829e-04 6.190677e-04
[15,] -9.340509e-04 5.582251e-04
[16,] -9.340509e-04 5.582251e-04
[17,] -9.340509e-04 5.582251e-04
[18,] -9.901382e-04 5.506495e-04
[19,] -1.384396e-03 5.027224e-04
[20,] -1.627422e-03 4.784015e-04
[21,] -1.627422e-03 4.784015e-04
[22,] -1.213109e-03 4.093843e-04
[23,] -1.474758e-03 3.853803e-04
[24,] -1.718333e-03 3.679798e-04
[25,] -1.718333e-03 3.679798e-04
[26,] -1.682370e-03 3.618321e-04
[27,] -2.005956e-03 3.366441e-04
[28,] -1.084708e-03 1.786444e-04
[29,] -1.084708e-03 1.786444e-04
[30,] -4.389578e-04 7.129775e-05
[31,] -4.389578e-04 7.129775e-05
[32,]  5.826450e-15 2.733276e-15
[33,]  5.753176e-15 2.727619e-15
[34,]  5.753176e-15 2.727619e-15
[35,]  5.753176e-15 2.727619e-15
[36,]  4.474199e-15 2.634485e-15
[37,]  4.474199e-15 2.634485e-15
[38,]  4.474199e-15 2.634485e-15
[39,]  4.474199e-15 2.634485e-15
[40,]  4.474199e-15 2.634485e-15
[41,]  4.474199e-15 2.634485e-15
[42,]  4.474199e-15 2.634485e-15
[43,]  4.474199e-15 2.634485e-15
[44,]  4.474199e-15 2.634485e-15
[45,]  4.474199e-15 2.634485e-15
[46,]  5.189182e-15 2.562408e-15
[47,]  5.189182e-15 2.562408e-15
[48,]  5.189182e-15 2.562408e-15
[49,]  6.603607e-15 2.423412e-15
[50,]  6.603607e-15 2.423412e-15
[51,]  6.603607e-15 2.423412e-15
[52,]  6.603607e-15 2.423412e-15
[53,]  6.603607e-15 2.423412e-15
[54,]  6.603607e-15 2.423412e-15
[55,]  6.603607e-15 2.423412e-15
[56,]  6.603607e-15 2.423412e-15
[57,]  5.211387e-15 2.329014e-15
[58,]  3.408385e-15 2.216971e-15
[59,]  3.408385e-15 2.216971e-15
[60,]  3.408385e-15 2.216971e-15
[61,]  4.627410e-15 2.097749e-15
[62,]  4.627410e-15 2.097749e-15
[63,]  4.627410e-15 2.097749e-15
[64,]  4.627410e-15 2.097749e-15
[65,]  4.627410e-15 2.097749e-15
[66,]  1.239453e-14 1.358992e-15
> (tri <- trimean(x))
               [,1]         [,2]
 [1,] -3.041456e-03 1.732651e-03
 [2,] -2.387730e-03 1.252674e-03
 [3,] -2.253166e-03 1.141223e-03
 [4,] -2.071387e-03 1.024663e-03
 [5,] -1.830406e-03 9.018137e-04
 [6,] -1.673623e-03 8.360737e-04
 [7,] -1.530740e-03 7.683815e-04
 [8,] -1.369630e-03 6.969950e-04
 [9,] -1.190849e-03 6.349243e-04
[10,] -1.027839e-03 5.721898e-04
[11,] -9.048612e-04 5.196459e-04
[12,] -8.515724e-04 4.884383e-04
[13,] -8.071797e-04 4.569113e-04
[14,] -7.676426e-04 4.234138e-04
[15,] -7.665468e-04 3.983995e-04
[16,] -7.532528e-04 3.793233e-04
[17,] -7.396384e-04 3.581621e-04
[18,] -7.256921e-04 3.344553e-04
[19,] -7.075545e-04 3.086753e-04
[20,] -6.630254e-04 2.860321e-04
[21,] -6.019876e-04 2.633280e-04
[22,] -5.393848e-04 2.369516e-04
[23,] -4.996136e-04 2.172195e-04
[24,] -4.438273e-04 1.973985e-04
[25,] -3.730214e-04 1.760585e-04
[26,] -3.003019e-04 1.500218e-04
[27,] -2.274848e-04 1.175657e-04
[28,] -1.359996e-04 7.366804e-05
[29,] -1.359996e-04 5.637290e-05
[30,] -3.919266e-05 2.761352e-05
[31,] -1.988033e-05 1.988033e-05
[32,]  8.777293e-15 2.797424e-15
[33,]  8.914925e-15 2.790911e-15
[34,]  9.060093e-15 2.783634e-15
[35,]  9.209727e-15 2.775153e-15
[36,]  9.364037e-15 2.765350e-15
[37,]  9.579639e-15 2.759728e-15
[38,]  9.802195e-15 2.752854e-15
[39,]  1.003205e-14 2.744596e-15
[40,]  1.026956e-14 2.734807e-15
[41,]  1.051513e-14 2.723319e-15
[42,]  1.076916e-14 2.709944e-15
[43,]  1.103211e-14 2.694466e-15
[44,]  1.130445e-14 2.676640e-15
[45,]  1.158669e-14 2.656186e-15
[46,]  1.187939e-14 2.632777e-15
[47,]  1.215380e-14 2.612403e-15
[48,]  1.243877e-14 2.588961e-15
[49,]  1.273491e-14 2.562047e-15
[50,]  1.298517e-14 2.544023e-15
[51,]  1.324564e-14 2.522993e-15
[52,]  1.351697e-14 2.498543e-15
[53,]  1.379984e-14 2.470186e-15
[54,]  1.409501e-14 2.437339e-15
[55,]  1.440329e-14 2.399306e-15
[56,]  1.472559e-14 2.355241e-15
[57,]  1.472559e-14 2.304106e-15
[58,]  1.506289e-14 2.251623e-15
[59,]  1.598180e-14 2.197021e-15
[60,]  1.651457e-14 2.132092e-15
[61,]  1.707466e-14 2.054498e-15
[62,]  1.761164e-14 1.980856e-15
[63,]  1.817765e-14 1.891833e-15
[64,]  1.877510e-14 1.783038e-15
[65,]  1.940670e-14 1.647894e-15
[66,]  2.007544e-14 1.475654e-15
> (midr <- midrange(x))
[1] -0.0821495
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 1.586364e-14 1.586364e-14 1.586364e-14 1.586364e-14 1.586364e-14
[6] 1.586364e-14 1.586364e-14 1.586364e-14
> postscript(file="/var/www/rcomp/tmp/1am3i1290526842.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/rcomp/tmp/23v2k1290526842.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/35zt21290526842.tab") 
> 
> try(system("convert tmp/1am3i1290526842.ps tmp/1am3i1290526842.png",intern=TRUE))
character(0)
> try(system("convert tmp/23v2k1290526842.ps tmp/23v2k1290526842.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   1.48    0.47    1.91