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(-2.7089441800854E-14
+ ,-0.0067221197756271
+ ,0.0067221197756187
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-2.7089441800854E-14
+ ,-0.0067221197756271
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.0017733645364189
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,-0.0063988842582678
+ ,1.0658141036402E-14
+ ,0.0063988842583105
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,-0.0063988842582678
+ ,0.0063988842583105
+ ,-0.0063988842582678
+ ,0.0063988842583105
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,-0.0063988842582678
+ ,1.0658141036402E-14
+ ,0.0063988842583105
+ ,-0.0063988842582678
+ ,0.0063988842583105
+ ,-0.0063988842582678
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,0.0063988842583105
+ ,-0.0063988842582678
+ ,1.0658141036402E-14
+ ,0.0063988842583105
+ ,-0.0063988842582678
+ ,1.0658141036402E-14
+ ,1.0658141036402E-14
+ ,0.0063988842583105
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,0.0003542958407321
+ ,-0.0063966102966977
+ ,-5.3290705182008E-15
+ ,-5.3290705182008E-15
+ ,-5.3290705182008E-15
+ ,0.0063966102966946
+ ,2.2204460492503E-15
+ ,-0.0039041753228979
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,-0.0064217131136641
+ ,-1.5987211554602E-14
+ ,-1.5987211554602E-14
+ ,-1.5987211554602E-14
+ ,-1.5987211554602E-14
+ ,0.0064217131136841
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,-0.0064217131136641
+ ,0.0064217131136841
+ ,3.5971225997855E-14
+ ,3.5971225997855E-14
+ ,-0.017578928007164
+ ,0.0064935293105748
+ ,2.6201263381154E-14
+ ,2.6201263381154E-14
+ ,2.6201263381154E-14
+ ,2.6201263381154E-14
+ ,2.6201263381154E-14
+ ,-0.0064935293105735
+ ,-2.4868995751604E-14
+ ,-0.011649203449725
+ ,-1.3322676295502E-14
+ ,-0.0058758891057136
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,0.0058758891056558
+ ,-0.0058758891057136
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,0.0058758891056558
+ ,-0.0058758891057136
+ ,-4.4408920985006E-14
+ ,0.0058758891056558
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-0.0058758891057136
+ ,-4.4408920985006E-14
+ ,0.0058758891056558
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-0.0058758891057136
+ ,0.0058758891056558
+ ,-0.0058758891057136
+ ,0.0058758891056558
+ ,-0.0058758891057136
+ ,0.0058758891056558
+ ,-0.0058758891057136
+ ,0.0058758891056558
+ ,-1.3322676295502E-14
+ ,-1.3322676295502E-14
+ ,-0.0058758891057136
+ ,0.0058758891056558
+ ,-0.0058758891057136
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,-4.4408920985006E-14
+ ,0.0058758891056558
+ ,-1.3322676295502E-14
+ ,-0.011416069481314
+ ,-2.9309887850104E-14
+ ,0.0055401803755708
+ ,0.010260258569556
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-0.035625288710512
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,0.01982484976529
+ ,-2.9309887850104E-14
+ ,-2.9309887850104E-14
+ ,-0.019824849765329
+ ,0.01982484976529
+ ,-2.9309887850104E-14
+ ,-2.9309887850104E-14
+ ,-2.9309887850104E-14
+ ,-2.9309887850104E-14
+ ,0.015800438945171
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-0.035625288710512
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,0.03562528871049
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-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] -0.000166712
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.0004419155
> (armose <- arm / armse)
[1] -0.3772486
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -1.972817e-13
> (qua <- quamean(x))
[1] 0.006236214
> (win <- winmean(x))
               [,1]         [,2]
 [1,] -2.457142e-04 4.160674e-04
 [2,] -8.770979e-05 3.596524e-04
 [3,] -1.143871e-04 3.349385e-04
 [4,] -1.065962e-04 2.833077e-04
 [5,] -1.892214e-04 2.681723e-04
 [6,] -5.526058e-05 2.424673e-04
 [7,] -5.777415e-05 2.421277e-04
 [8,] -4.863053e-05 2.408807e-04
 [9,] -4.642610e-05 2.403094e-04
[10,] -4.642610e-05 2.403094e-04
[11,] -4.517052e-05 2.401423e-04
[12,] -4.517052e-05 2.401423e-04
[13,] -4.517052e-05 2.401423e-04
[14,] -4.517052e-05 2.401423e-04
[15,] -4.517052e-05 2.401423e-04
[16,] -4.517052e-05 2.401423e-04
[17,] -4.536380e-05 2.401162e-04
[18,] -9.222871e-05 2.339513e-04
[19,] -9.201268e-05 2.339220e-04
[20,] -3.994056e-05 2.270302e-04
[21,] -3.994056e-05 2.270302e-04
[22,] -3.994056e-05 2.270302e-04
[23,] -3.994056e-05 2.270302e-04
[24,] -3.994056e-05 2.270302e-04
[25,] -3.994056e-05 2.270302e-04
[26,] -3.994056e-05 2.270302e-04
[27,] -3.994056e-05 2.270302e-04
[28,] -8.693979e-05 2.209446e-04
[29,] -6.331281e-04 1.636061e-04
[30,] -5.502313e-04 1.022192e-04
[31,] -3.745892e-15 2.203244e-15
[32,] -3.745892e-15 2.203244e-15
[33,] -3.745892e-15 2.203244e-15
[34,] -3.745892e-15 2.203244e-15
[35,] -3.745892e-15 2.203244e-15
[36,] -3.745892e-15 2.203244e-15
[37,] -3.745892e-15 2.203244e-15
[38,] -3.745892e-15 2.203244e-15
[39,] -3.745892e-15 2.203244e-15
[40,] -3.745892e-15 2.203244e-15
[41,] -3.745892e-15 2.203244e-15
[42,] -4.585221e-15 2.128983e-15
[43,] -4.585221e-15 2.128983e-15
[44,] -4.585221e-15 2.128983e-15
[45,] -4.585221e-15 2.128983e-15
[46,] -4.585221e-15 2.128983e-15
[47,] -4.585221e-15 2.128983e-15
[48,] -9.614531e-16 1.814156e-15
[49,] -9.614531e-16 1.814156e-15
[50,] -9.614531e-16 1.814156e-15
[51,] -9.614531e-16 1.814156e-15
[52,] -9.614531e-16 1.814156e-15
[53,] -9.614531e-16 1.814156e-15
[54,] -9.614531e-16 1.814156e-15
[55,] -3.508305e-16 1.766955e-15
[56,] -3.508305e-16 1.766955e-15
[57,] -3.508305e-16 1.766955e-15
[58,] -3.508305e-16 1.766955e-15
[59,] -2.053913e-15 1.613590e-15
[60,] -2.053913e-15 1.613590e-15
[61,] -2.053913e-15 1.613590e-15
[62,] -2.053913e-15 1.613590e-15
[63,] -2.053913e-15 1.613590e-15
[64,] -4.469758e-15 1.407111e-15
[65,] -4.469758e-15 1.407111e-15
[66,] -7.107648e-15 1.199154e-15
> (tri <- trimean(x))
               [,1]         [,2]
 [1,] -1.683959e-04 3.663167e-04
 [2,] -8.949978e-05 3.058814e-04
 [3,] -9.042246e-05 2.729713e-04
 [4,] -8.210140e-05 2.466811e-04
 [5,] -7.565539e-05 2.354527e-04
 [6,] -5.149242e-05 2.272692e-04
 [7,] -5.081712e-05 2.241273e-04
 [8,] -4.973683e-05 2.208350e-04
 [9,] -4.988880e-05 2.175247e-04
[10,] -5.031629e-05 2.140712e-04
[11,] -5.075339e-05 2.103721e-04
[12,] -5.133013e-05 2.064265e-04
[13,] -5.192013e-05 2.021864e-04
[14,] -5.252386e-05 1.976205e-04
[15,] -5.314178e-05 1.926924e-04
[16,] -5.377442e-05 1.873588e-04
[17,] -5.442231e-05 1.815677e-04
[18,] -5.507213e-05 1.752590e-04
[19,] -5.252367e-05 1.690843e-04
[20,] -4.992570e-05 1.623187e-04
[21,] -5.055768e-05 1.556820e-04
[22,] -5.120585e-05 1.483522e-04
[23,] -5.187086e-05 1.401954e-04
[24,] -5.255337e-05 1.310280e-04
[25,] -5.325409e-05 1.205858e-04
[26,] -5.397374e-05 1.084608e-04
[27,] -5.471310e-05 9.395367e-05
[28,] -5.547301e-05 7.564009e-05
[29,] -5.547301e-05 5.126831e-05
[30,] -2.535628e-05 2.801968e-05
[31,] -3.533405e-15 2.218321e-15
[32,] -3.523325e-15 2.211625e-15
[33,] -3.512944e-15 2.204001e-15
[34,] -3.502249e-15 2.195366e-15
[35,] -3.491224e-15 2.185624e-15
[36,] -3.479855e-15 2.174674e-15
[37,] -3.468125e-15 2.162397e-15
[38,] -3.456017e-15 2.148663e-15
[39,] -3.443511e-15 2.133326e-15
[40,] -3.430589e-15 2.116220e-15
[41,] -3.417229e-15 2.097155e-15
[42,] -3.403408e-15 2.075917e-15
[43,] -3.354042e-15 2.057897e-15
[44,] -3.302913e-15 2.037704e-15
[45,] -3.249926e-15 2.015083e-15
[46,] -3.194975e-15 1.989740e-15
[47,] -3.137951e-15 1.961332e-15
[48,] -3.078734e-15 1.929455e-15
[49,] -3.165224e-15 1.919589e-15
[50,] -3.255174e-15 1.908034e-15
[51,] -3.348795e-15 1.894577e-15
[52,] -3.446317e-15 1.878971e-15
[53,] -3.547989e-15 1.860925e-15
[54,] -3.654082e-15 1.840101e-15
[55,] -3.764890e-15 1.816097e-15
[56,] -3.905966e-15 1.792369e-15
[57,] -3.905966e-15 1.764865e-15
[58,] -4.053605e-15 1.732967e-15
[59,] -4.370488e-15 1.695915e-15
[60,] -4.468648e-15 1.671224e-15
[61,] -4.571841e-15 1.642271e-15
[62,] -4.680467e-15 1.608289e-15
[63,] -4.794963e-15 1.568312e-15
[64,] -4.915821e-15 1.521103e-15
[65,] -4.935734e-15 1.494004e-15
[66,] -4.956819e-15 1.461655e-15
> (midr <- midrange(x))
[1] -1.100162e-14
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -1.166743e-15 -1.166743e-15 -1.166743e-15 -1.166743e-15 -1.166743e-15
[6] -1.166743e-15 -1.166743e-15 -1.166743e-15
> postscript(file="/var/www/html/rcomp/tmp/16xv11290526053.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/2ypum1290526053.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/31a3l1290526053.tab") 
> 
> try(system("convert tmp/16xv11290526053.ps tmp/16xv11290526053.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ypum1290526053.ps tmp/2ypum1290526053.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.032   0.340   2.133