R version 2.8.0 (2008-10-20)
Copyright (C) 2008 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.

  Natural language support but running in an English locale

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(3.2862601528905E-14
+ ,0.073315265017433
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-0.07331526501745
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,0.073315265017433
+ ,-0.07331526501745
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,3.2862601528905E-14
+ ,0.073315265017433
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-4.9737991503207E-14
+ ,-0.03293710907405
+ ,3.5527136788005E-14
+ ,3.5527136788005E-14
+ ,0.071931219008635
+ ,-0.0085349024497958
+ ,0.0085349024498416
+ ,-0.0085349024497958
+ ,4.1744385725906E-14
+ ,-0.063396316558758
+ ,3.5527136788005E-14
+ ,3.5527136788005E-14
+ ,3.5527136788005E-14
+ ,3.5527136788005E-14
+ ,0.071931219008635
+ ,0.036848103398004
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.067774696162676
+ ,4.2632564145606E-14
+ ,4.2632564145606E-14
+ ,0.036576325306843
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.045383005847776
+ ,0.014184634991941
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,0.031198370855885
+ ,2.3536728122053E-14
+ ,-0.031198370855877
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-14
+ ,-1.5099033134902E-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] 0.0005897955
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.001535838
> (armose <- arm / armse)
[1] 0.3840220
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -1.640746e-13
> (qua <- quamean(x))
[1] 0.02167368
> (win <- winmean(x))
               [,1]         [,2]
 [1,]  5.897955e-04 1.535838e-03
 [2,]  6.452012e-04 1.522883e-03
 [3,]  6.901162e-04 1.503472e-03
 [4,]  1.050382e-03 1.435390e-03
 [5,]  4.844520e-04 1.209468e-03
 [6,]  5.284608e-04 1.201154e-03
 [7,]  3.402324e-04 1.174515e-03
 [8,]  3.402324e-04 1.174515e-03
 [9,]  3.402324e-04 1.174515e-03
[10,]  3.402324e-04 1.174515e-03
[11,]  3.402324e-04 1.174515e-03
[12,]  3.402324e-04 1.174515e-03
[13,]  3.402324e-04 1.174515e-03
[14,]  3.402324e-04 1.174515e-03
[15,]  3.402324e-04 1.174515e-03
[16,]  3.402324e-04 1.174515e-03
[17,]  3.402324e-04 1.174515e-03
[18,]  3.402324e-04 1.174515e-03
[19,]  3.402324e-04 1.174515e-03
[20,]  3.402324e-04 1.174515e-03
[21,]  3.402324e-04 1.174515e-03
[22,]  3.402324e-04 1.174515e-03
[23,]  3.402324e-04 1.174515e-03
[24,]  3.402324e-04 1.174515e-03
[25,]  3.402324e-04 1.174515e-03
[26,]  3.402324e-04 1.174515e-03
[27,]  3.399801e-03 8.432651e-04
[28,]  3.399801e-03 8.432651e-04
[29,]  2.170370e-03 3.603063e-04
[30,]  1.322910e-03 2.189607e-04
[31,]  1.412204e-15 2.401428e-15
[32,]  1.412204e-15 2.401428e-15
[33,]  1.265654e-15 2.388868e-15
[34,]  2.087219e-16 2.303067e-15
[35,]  2.087219e-16 2.303067e-15
[36,]  2.087219e-16 2.303067e-15
[37,]  2.087219e-16 2.303067e-15
[38,]  2.087219e-16 2.303067e-15
[39,]  2.087219e-16 2.303067e-15
[40,] -3.241851e-16 2.262889e-15
[41,] -3.241851e-16 2.262889e-15
[42,] -3.241851e-16 2.262889e-15
[43,]  7.123191e-15 1.561973e-15
[44,]  7.123191e-15 1.561973e-15
[45,]  7.123191e-15 1.561973e-15
[46,]  7.123191e-15 1.561973e-15
[47,]  7.123191e-15 1.561973e-15
[48,]  7.123191e-15 1.561973e-15
[49,]  7.123191e-15 1.561973e-15
[50,]  7.123191e-15 1.561973e-15
[51,]  7.123191e-15 1.561973e-15
[52,]  7.123191e-15 1.561973e-15
[53,]  7.123191e-15 1.561973e-15
[54,]  4.605205e-15 1.369134e-15
[55,]  4.605205e-15 1.369134e-15
[56,]  4.605205e-15 1.369134e-15
[57,]  4.605205e-15 1.369134e-15
[58,]  4.605205e-15 1.369134e-15
[59,]  4.605205e-15 1.369134e-15
[60,]  4.605205e-15 1.369134e-15
[61,]  4.605205e-15 1.369134e-15
[62,]  4.605205e-15 1.369134e-15
[63,]  4.605205e-15 1.369134e-15
[64,]  4.605205e-15 1.369134e-15
[65,]  4.605205e-15 1.369134e-15
[66,]  4.605205e-15 1.369134e-15
> (tri <- trimean(x))
              [,1]         [,2]
 [1,] 5.957531e-04 1.459859e-03
 [2,] 6.018322e-04 1.376127e-03
 [3,] 5.794770e-04 1.291120e-03
 [4,] 5.410606e-04 1.204803e-03
 [5,] 4.070285e-04 1.132078e-03
 [6,] 3.905555e-04 1.113412e-03
 [7,] 3.658413e-04 1.095220e-03
 [8,] 3.698178e-04 1.080730e-03
 [9,] 3.738817e-04 1.065250e-03
[10,] 3.780360e-04 1.048693e-03
[11,] 3.822836e-04 1.030963e-03
[12,] 3.866277e-04 1.011946e-03
[13,] 3.910717e-04 9.915140e-04
[14,] 3.956190e-04 9.695186e-04
[15,] 4.002734e-04 9.457858e-04
[16,] 4.050385e-04 9.201104e-04
[17,] 4.099185e-04 8.922466e-04
[18,] 4.149175e-04 8.618962e-04
[19,] 4.200400e-04 8.286907e-04
[20,] 4.252905e-04 7.921641e-04
[21,] 4.306739e-04 7.517125e-04
[22,] 4.361953e-04 7.065251e-04
[23,] 4.418602e-04 6.554653e-04
[24,] 4.476742e-04 5.968424e-04
[25,] 4.536432e-04 5.279185e-04
[26,] 4.597735e-04 4.436331e-04
[27,] 4.660717e-04 3.320895e-04
[28,] 3.151598e-04 2.518317e-04
[29,] 3.151598e-04 1.162145e-04
[30,] 6.096359e-05 6.096359e-05
[31,] 3.642819e-15 2.242269e-15
[32,] 3.748635e-15 2.222432e-15
[33,] 3.857611e-15 2.200650e-15
[34,] 3.976617e-15 2.177627e-15
[35,] 4.147110e-15 2.158247e-15
[36,] 4.322931e-15 2.136792e-15
[37,] 4.504333e-15 2.113036e-15
[38,] 4.691588e-15 2.086723e-15
[39,] 4.884981e-15 2.057557e-15
[40,] 5.084821e-15 2.025194e-15
[41,] 5.314017e-15 1.992031e-15
[42,] 5.551115e-15 1.955054e-15
[43,] 5.796533e-15 1.913738e-15
[44,] 5.741439e-15 1.923769e-15
[45,] 5.684342e-15 1.933834e-15
[46,] 5.625130e-15 1.943922e-15
[47,] 5.563684e-15 1.954018e-15
[48,] 5.499874e-15 1.964106e-15
[49,] 5.433562e-15 1.974167e-15
[50,] 5.364598e-15 1.984178e-15
[51,] 5.292818e-15 1.994114e-15
[52,] 5.218048e-15 2.003945e-15
[53,] 5.140096e-15 2.013637e-15
[54,] 5.058755e-15 2.023149e-15
[55,] 5.077420e-15 2.045668e-15
[56,] 5.096933e-15 2.068954e-15
[57,] 5.096933e-15 2.093051e-15
[58,] 5.117354e-15 2.118007e-15
[59,] 5.161183e-15 2.143876e-15
[60,] 5.184742e-15 2.170713e-15
[61,] 5.209508e-15 2.198580e-15
[62,] 5.235578e-15 2.227545e-15
[63,] 5.263057e-15 2.257681e-15
[64,] 5.292063e-15 2.289070e-15
[65,] 5.322726e-15 2.321800e-15
[66,] 5.355193e-15 2.355968e-15
> (midr <- midrange(x))
[1] -8.500145e-15
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 6.490535e-15 6.490535e-15 6.490535e-15 6.490535e-15 6.490535e-15
[6] 6.490535e-15 6.490535e-15 6.490535e-15
> postscript(file="/var/www/html/freestat/rcomp/tmp/1lzm01290534770.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/freestat/rcomp/tmp/2e8l31290534770.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3ybu21290534770.tab") 
> 
> try(system("convert tmp/1lzm01290534770.ps tmp/1lzm01290534770.png",intern=TRUE))
character(0)
> try(system("convert tmp/2e8l31290534770.ps tmp/2e8l31290534770.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.472   0.542   4.453