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(-3.3306690738755E-14
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,0.0053840193399668
+ ,-0.021066849967766
+ ,-4.6185277824407E-14
+ ,0.021066849967754
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,-0.0053840193399664
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,0.0053840193399668
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,0.0003158060976336
+ ,-4.8405723873657E-14
+ ,-4.8405723873657E-14
+ ,-4.8405723873657E-14
+ ,-4.8405723873657E-14
+ ,-0.0056998254376484
+ ,-3.3306690738755E-14
+ ,0.0056998254375666
+ ,-0.0056998254376484
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,0.0056998254375666
+ ,-4.8405723873657E-14
+ ,-4.8405723873657E-14
+ ,-0.010155593471648
+ ,-0.0051167364592297
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,0.005116736459188
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-0.0051167364592297
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,0.005116736459188
+ ,-2.9753977059954E-14
+ ,-0.0051167364592297
+ ,-1.1990408665952E-14
+ ,-1.1990408665952E-14
+ ,0.005116736459188
+ ,-2.9753977059954E-14
+ ,-0.0051167364592297
+ ,-1.1990408665952E-14
+ ,0.005116736459188
+ ,-2.9753977059954E-14
+ ,-0.0051167364592297
+ ,-0.070734872477612
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,0.0061749767394632
+ ,-0.0061749767394774
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,0.0061749767394632
+ ,-0.0061749767394774
+ ,-3.6859404417555E-14
+ ,-3.6859404417555E-14
+ ,-0.038587740776537
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-0.0068186160469095
+ ,0.0068186160468917
+ ,-9.7699626167014E-15
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-9.7699626167014E-15
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,-0.028119435314408
+ ,-2.9309887850104E-14
+ ,-2.9309887850104E-14
+ ,0.028119435314371
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-9.7699626167014E-15
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-0.0068186160469095
+ ,-7.9936057773011E-15
+ ,-7.9936057773011E-15
+ ,0.0068186160468917
+ ,-9.7699626167014E-15
+ ,0.0099644952593905
+ ,-4.1300296516056E-14
+ ,-4.1300296516056E-14
+ ,-4.1300296516056E-14
+ ,-4.1300296516056E-14
+ ,-0.034585579649741
+ ,3.8635761256955E-14
+ ,3.8635761256955E-14
+ ,0.034585579649739
+ ,-4.1300296516056E-14
+ ,0.015809217368258
+ ,2.6201263381154E-14
+ ,2.6201263381154E-14
+ ,-1.1179688669752
+ ,-3.3306690738755E-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] -0.006055451
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.005617685
> (armose <- arm / armse)
[1] -1.077926
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -4.213568e-14
> (qua <- quamean(x))
[1] 0.07947822
> (win <- winmean(x))
               [,1]         [,2]
 [1,] -8.516121e-04 6.716809e-04
 [2,] -6.006666e-04 5.088727e-04
 [3,] -6.194987e-04 4.713254e-04
 [4,] -6.070703e-04 4.078416e-04
 [5,] -5.094026e-04 3.415709e-04
 [6,] -1.820649e-04 2.577787e-04
 [7,] -6.527072e-05 2.379764e-04
 [8,] -6.527072e-05 2.379764e-04
 [9,] -6.527072e-05 2.379764e-04
[10,] -6.527072e-05 2.379764e-04
[11,] -6.527072e-05 2.379764e-04
[12,] -6.527072e-05 2.379764e-04
[13,] -1.071073e-04 2.320880e-04
[14,] -1.071073e-04 2.320880e-04
[15,] -9.447067e-05 2.204522e-04
[16,] -9.447067e-05 2.204522e-04
[17,] -8.092633e-05 2.114378e-04
[18,] -8.092633e-05 2.114378e-04
[19,] -5.092475e-05 2.074965e-04
[20,] -5.092475e-05 2.074965e-04
[21,] -5.092475e-05 2.074965e-04
[22,] -5.092475e-05 2.074965e-04
[23,] -5.092475e-05 2.074965e-04
[24,] -5.092475e-05 2.074965e-04
[25,] -8.433511e-05 2.031480e-04
[26,] -4.958833e-05 1.986428e-04
[27,] -4.958833e-05 1.986428e-04
[28,] -4.958833e-05 1.986428e-04
[29,] -7.457232e-04 1.329395e-04
[30,] -7.930942e-04 1.312686e-04
[31,] -6.799006e-15 2.429838e-15
[32,] -7.580603e-15 2.358671e-15
[33,] -7.580603e-15 2.358671e-15
[34,] -7.580603e-15 2.358671e-15
[35,] -7.580603e-15 2.358671e-15
[36,] -7.580603e-15 2.358671e-15
[37,] -7.169820e-15 2.323471e-15
[38,] -6.241674e-15 2.247895e-15
[39,] -6.241674e-15 2.247895e-15
[40,] -6.241674e-15 2.247895e-15
[41,] -6.241674e-15 2.247895e-15
[42,] -6.241674e-15 2.247895e-15
[43,] -5.286882e-15 2.175624e-15
[44,] -5.286882e-15 2.175624e-15
[45,] -5.286882e-15 2.175624e-15
[46,] -5.286882e-15 2.175624e-15
[47,] -5.286882e-15 2.175624e-15
[48,] -5.286882e-15 2.175624e-15
[49,] -5.286882e-15 2.175624e-15
[50,] -5.286882e-15 2.175624e-15
[51,] -5.286882e-15 2.175624e-15
[52,] -5.286882e-15 2.175624e-15
[53,] -5.286882e-15 2.175624e-15
[54,] -4.327649e-15 2.107478e-15
[55,] -4.327649e-15 2.107478e-15
[56,] -4.327649e-15 2.107478e-15
[57,] -4.327649e-15 2.107478e-15
[58,] -4.327649e-15 2.107478e-15
[59,] -4.327649e-15 2.107478e-15
[60,] -4.327649e-15 2.107478e-15
[61,] -4.327649e-15 2.107478e-15
[62,] -4.327649e-15 2.107478e-15
[63,] -4.327649e-15 2.107478e-15
[64,] -4.327649e-15 2.107478e-15
[65,] -4.327649e-15 2.107478e-15
[66,] -4.327649e-15 2.107478e-15
> (tri <- trimean(x))
               [,1]         [,2]
 [1,] -6.449848e-04 5.598226e-04
 [2,] -4.341405e-04 4.116257e-04
 [3,] -3.483024e-04 3.488447e-04
 [4,] -2.541370e-04 2.917503e-04
 [5,] -1.612598e-04 2.496960e-04
 [6,] -8.718681e-05 2.232457e-04
 [7,] -7.018357e-05 2.158370e-04
 [8,] -7.094643e-05 2.117658e-04
 [9,] -7.172606e-05 2.074017e-04
[10,] -7.252302e-05 2.027142e-04
[11,] -7.333788e-05 1.976679e-04
[12,] -7.417127e-05 1.922207e-04
[13,] -7.502381e-05 1.863226e-04
[14,] -7.215409e-05 1.807103e-04
[15,] -6.921685e-05 1.746103e-04
[16,] -6.721258e-05 1.694288e-04
[17,] -6.516001e-05 1.637921e-04
[18,] -6.402900e-05 1.587127e-04
[19,] -6.287006e-05 1.531721e-04
[20,] -6.365594e-05 1.475620e-04
[21,] -6.446171e-05 1.413987e-04
[22,] -6.528814e-05 1.345853e-04
[23,] -6.613604e-05 1.269936e-04
[24,] -6.700625e-05 1.184469e-04
[25,] -6.789966e-05 1.086885e-04
[26,] -6.701126e-05 9.798556e-05
[27,] -6.792922e-05 8.598315e-05
[28,] -6.887269e-05 7.111494e-05
[29,] -6.887269e-05 5.084887e-05
[30,] -3.654812e-05 3.654812e-05
[31,] -7.658930e-15 2.490042e-15
[32,] -7.699723e-15 2.485463e-15
[33,] -7.705279e-15 2.484880e-15
[34,] -7.711004e-15 2.483686e-15
[35,] -7.716904e-15 2.481824e-15
[36,] -7.722989e-15 2.479230e-15
[37,] -7.729267e-15 2.475834e-15
[38,] -7.753654e-15 2.473888e-15
[39,] -7.818882e-15 2.475946e-15
[40,] -7.886284e-15 2.477433e-15
[41,] -7.955971e-15 2.478289e-15
[42,] -8.028061e-15 2.478444e-15
[43,] -8.102680e-15 2.477820e-15
[44,] -8.219615e-15 2.480783e-15
[45,] -8.340803e-15 2.483082e-15
[46,] -8.466479e-15 2.484635e-15
[47,] -8.596897e-15 2.485351e-15
[48,] -8.732331e-15 2.485126e-15
[49,] -8.873077e-15 2.483839e-15
[50,] -9.019452e-15 2.481356e-15
[51,] -9.171802e-15 2.477522e-15
[52,] -9.330499e-15 2.472160e-15
[53,] -9.495950e-15 2.465065e-15
[54,] -9.668594e-15 2.456000e-15
[55,] -9.888386e-15 2.449261e-15
[56,] -1.011817e-14 2.440343e-15
[57,] -1.011817e-14 2.428919e-15
[58,] -1.035864e-14 2.414601e-15
[59,] -1.087477e-14 2.396929e-15
[60,] -1.115219e-14 2.375350e-15
[61,] -1.144384e-14 2.349199e-15
[62,] -1.175083e-14 2.317661e-15
[63,] -1.207443e-14 2.279727e-15
[64,] -1.241599e-14 2.234137e-15
[65,] -1.277708e-14 2.179281e-15
[66,] -1.315941e-14 2.113064e-15
> (midr <- midrange(x))
[1] -0.5416916
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -4.419576e-15 -4.419576e-15 -4.419576e-15 -4.419576e-15 -4.419576e-15
[6] -4.419576e-15 -4.419576e-15 -4.419576e-15
> postscript(file="/var/www/rcomp/tmp/166fn1290525412.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/29peb1290525412.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/3mkpn1290525413.tab") 
> 
> try(system("convert tmp/166fn1290525412.ps tmp/166fn1290525412.png",intern=TRUE))
character(0)
> try(system("convert tmp/29peb1290525412.ps tmp/29peb1290525412.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.400   0.560   1.941