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(0.0077760889499117
+ ,3.5527136788005E-15
+ ,-0.0077760889498966
+ ,1.1546319456102E-14
+ ,-0.024497471600388
+ ,0.0322735605503
+ ,-0.0077760889498966
+ ,1.1546319456102E-14
+ ,0.0077760889499117
+ ,3.5527136788005E-15
+ ,3.5527136788005E-15
+ ,3.5527136788005E-15
+ ,3.5527136788005E-15
+ ,-0.0077760889498966
+ ,1.1546319456102E-14
+ ,1.1546319456102E-14
+ ,1.1546319456102E-14
+ ,0.0077760889499117
+ ,3.5527136788005E-15
+ ,0.0023210842142034
+ ,0
+ ,-0.0077579908108998
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,0.0077579908109393
+ ,0
+ ,0
+ ,0
+ ,0
+ ,-0.0077579908108998
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,-0.00038948393876082
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-0.007036776495049
+ ,-2.3980817331903E-14
+ ,0.0070367764949757
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-0.007036776495049
+ ,0.0070367764949757
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-0.007036776495049
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,0.0070367764949757
+ ,-0.007036776495049
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,0.0070367764949757
+ ,-0.007036776495049
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,-2.3980817331903E-14
+ ,0.0070367764949757
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-0.007036776495049
+ ,-2.3980817331903E-14
+ ,0.0070367764949757
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-4.9293902293357E-14
+ ,-0.011361532596849
+ ,0.0070671672230582
+ ,-0.0070671672231342
+ ,0.0070671672230582
+ ,-0.0070671672231342
+ ,-4.1744385725906E-14
+ ,-4.1744385725906E-14
+ ,0.00039393343035821
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,0.0071146545167715
+ ,-0.0071146545167871
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,1.2878587085652E-14
+ ,-0.0071146545167871
+ ,0.0071146545167715
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.0071146545167715
+ ,-0.0071146545167871
+ ,-2.8421709430404E-14
+ ,-2.8421709430404E-14
+ ,0.015351610285672
+ ,-1.1631508098057
+ ,1.1241175790765
+ ,-7.5495165674511E-15
+ ,-7.5495165674511E-15
+ ,-7.5495165674511E-15
+ ,-7.5495165674511E-15
+ ,-7.5495165674511E-15
+ ,0.015316704111893
+ ,-4.4408920985006E-16
+ ,-4.4408920985006E-16
+ ,-0.015316704111901
+ ,0.015316704111893
+ ,-4.4408920985006E-16
+ ,-4.4408920985006E-16
+ ,-0.015316704111901
+ ,-7.5495165674511E-15
+ ,-7.5495165674511E-15
+ ,-7.5495165674511E-15
+ ,0.015316704111893
+ ,-4.4408920985006E-16
+ ,-0.015316704111901
+ ,0.015316704111893
+ ,-0.015316704111901
+ ,-7.5495165674511E-15)
> 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] -0.0001990709
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.008118228
> (armose <- arm / armse)
[1] -0.02452147
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 0
> (qua <- quamean(x))
[1] 0.1145219
> (win <- winmean(x))
               [,1]         [,2]
 [1,]  3.497572e-05 4.520537e-04
 [2,] -4.243611e-05 3.814231e-04
 [3,] -4.295970e-05 3.813170e-04
 [4,] -4.295970e-05 3.813170e-04
 [5,] -4.295970e-05 3.813170e-04
 [6,]  7.569544e-05 3.598278e-04
 [7,] -6.273556e-05 2.946017e-04
 [8,] -6.273556e-05 2.946017e-04
 [9,] -6.273556e-05 2.946017e-04
[10,] -6.273556e-05 2.943619e-04
[11,] -9.811905e-05 2.897859e-04
[12,] -5.951888e-05 2.848185e-04
[13,] -5.951888e-05 2.848185e-04
[14,] -5.951888e-05 2.848185e-04
[15,] -5.951888e-05 2.848185e-04
[16,] -5.951888e-05 2.848185e-04
[17,] -5.951888e-05 2.848185e-04
[18,] -5.951888e-05 2.848185e-04
[19,] -5.951888e-05 2.848185e-04
[20,] -5.951888e-05 2.848185e-04
[21,] -5.951888e-05 2.848185e-04
[22,] -5.951888e-05 2.848185e-04
[23,] -6.497992e-05 2.841285e-04
[24,] -6.497992e-05 2.841285e-04
[25,] -6.284284e-05 2.829100e-04
[26,] -6.284284e-05 2.829100e-04
[27,] -5.874010e-05 2.824001e-04
[28,] -5.874010e-05 2.824001e-04
[29,] -5.874010e-05 2.824001e-04
[30,] -5.874010e-05 2.824001e-04
[31,] -7.896724e-04 2.055770e-04
[32,] -1.098017e-03 1.874304e-04
[33,] -6.621227e-05 1.037114e-05
[34,] -9.592327e-15 2.323880e-15
[35,] -9.592327e-15 2.323880e-15
[36,] -9.592327e-15 2.323880e-15
[37,] -9.592327e-15 2.323880e-15
[38,] -9.592327e-15 2.323880e-15
[39,] -9.592327e-15 2.323880e-15
[40,] -9.592327e-15 2.323880e-15
[41,] -1.505462e-14 1.812597e-15
[42,] -1.505462e-14 1.812597e-15
[43,] -1.505462e-14 1.812597e-15
[44,] -1.505462e-14 1.812597e-15
[45,] -1.505462e-14 1.812597e-15
[46,] -1.505462e-14 1.812597e-15
[47,] -1.505462e-14 1.812597e-15
[48,] -1.505462e-14 1.812597e-15
[49,] -1.505462e-14 1.812597e-15
[50,] -1.505462e-14 1.812597e-15
[51,] -1.312950e-14 1.636293e-15
[52,] -1.312950e-14 1.636293e-15
[53,] -9.598988e-15 1.354936e-15
[54,] -9.598988e-15 1.354936e-15
[55,] -9.598988e-15 1.354936e-15
[56,] -9.598988e-15 1.354936e-15
[57,] -9.598988e-15 1.354936e-15
[58,] -9.598988e-15 1.354936e-15
[59,] -9.598988e-15 1.354936e-15
[60,] -9.598988e-15 1.354936e-15
[61,] -9.598988e-15 1.354936e-15
[62,] -9.598988e-15 1.354936e-15
[63,] -9.598988e-15 1.354936e-15
[64,] -9.598988e-15 1.354936e-15
[65,] -9.598988e-15 1.354936e-15
[66,] -9.598988e-15 1.354936e-15
> (tri <- trimean(x))
               [,1]         [,2]
 [1,] -3.944167e-06 4.079582e-04
 [2,] -4.365834e-05 3.562144e-04
 [3,] -4.428835e-05 3.420015e-04
 [4,] -4.474969e-05 3.265368e-04
 [5,] -4.522074e-05 3.095523e-04
 [6,] -4.570181e-05 2.907427e-04
 [7,] -6.745759e-05 2.752846e-04
 [8,] -6.819082e-05 2.717548e-04
 [9,] -6.894017e-05 2.679847e-04
[10,] -6.970618e-05 2.639533e-04
[11,] -7.048939e-05 2.596716e-04
[12,] -6.763509e-05 2.556950e-04
[13,] -6.841250e-05 2.520566e-04
[14,] -6.920800e-05 2.481545e-04
[15,] -7.002221e-05 2.439640e-04
[16,] -7.085581e-05 2.394567e-04
[17,] -7.170949e-05 2.346003e-04
[18,] -7.258400e-05 2.293568e-04
[19,] -7.348009e-05 2.236820e-04
[20,] -7.439860e-05 2.175233e-04
[21,] -7.534035e-05 2.108178e-04
[22,] -7.630625e-05 2.034883e-04
[23,] -7.729724e-05 1.954391e-04
[24,] -7.800189e-05 1.866278e-04
[25,] -7.872534e-05 1.768288e-04
[26,] -7.958385e-05 1.659823e-04
[27,] -8.046589e-05 1.536689e-04
[28,] -8.158347e-05 1.395244e-04
[29,] -8.158347e-05 1.227779e-04
[30,] -8.391442e-05 1.020784e-04
[31,] -8.513057e-05 7.407051e-05
[32,] -5.170829e-05 5.190252e-05
[33,] -2.906597e-06 2.906597e-06
[34,] -1.201732e-14 2.131291e-15
[35,] -1.212705e-14 2.107708e-15
[36,] -1.224021e-14 2.081756e-15
[37,] -1.235696e-14 2.053174e-15
[38,] -1.247747e-14 2.021662e-15
[39,] -1.260194e-14 1.986870e-15
[40,] -1.273056e-14 1.948386e-15
[41,] -1.286353e-14 1.905723e-15
[42,] -1.277139e-14 1.899845e-15
[43,] -1.267602e-14 1.892892e-15
[44,] -1.257724e-14 1.884744e-15
[45,] -1.247487e-14 1.875269e-15
[46,] -1.236871e-14 1.864313e-15
[47,] -1.225854e-14 1.851703e-15
[48,] -1.214413e-14 1.837238e-15
[49,] -1.202524e-14 1.820686e-15
[50,] -1.190159e-14 1.801777e-15
[51,] -1.177290e-14 1.780198e-15
[52,] -1.171748e-14 1.771461e-15
[53,] -1.165970e-14 1.761076e-15
[54,] -1.174423e-14 1.769998e-15
[55,] -1.183251e-14 1.778757e-15
[56,] -1.192480e-14 1.787308e-15
[57,] -1.192480e-14 1.795599e-15
[58,] -1.202139e-14 1.803566e-15
[59,] -1.222870e-14 1.811138e-15
[60,] -1.234013e-14 1.818229e-15
[61,] -1.245727e-14 1.824737e-15
[62,] -1.258058e-14 1.830543e-15
[63,] -1.271055e-14 1.835501e-15
[64,] -1.284775e-14 1.839442e-15
[65,] -1.299278e-14 1.842158e-15
[66,] -1.314635e-14 1.843400e-15
> (midr <- midrange(x))
[1] -0.01951662
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -1.490363e-14 -1.490363e-14 -1.490363e-14 -1.490363e-14 -1.490363e-14
[6] -1.490363e-14 -1.490363e-14 -1.490363e-14
> postscript(file="/var/www/rcomp/tmp/1s15k1290523970.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/2lbmn1290523970.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/36ed41290523970.tab") 
> 
> try(system("convert tmp/1s15k1290523970.ps tmp/1s15k1290523970.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lbmn1290523970.ps tmp/2lbmn1290523970.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.360   0.570   1.906