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(-3.8635761256955E-14
+ ,-3.8635761256955E-14
+ ,-3.8635761256955E-14
+ ,-3.8635761256955E-14
+ ,-3.8635761256955E-14
+ ,-3.8635761256955E-14
+ ,-0.024154942035039
+ ,0.024154942035005
+ ,-3.8635761256955E-14
+ ,-0.024154942035039
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,0.024154942035005
+ ,-3.8635761256955E-14
+ ,-3.8635761256955E-14
+ ,-0.010814569746239
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,0.024170360927819
+ ,-0.024170360927795
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,1.8651746813703E-14
+ ,0.024170360927819
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,5.7731597280508E-15
+ ,-0.024170360927795
+ ,0.024170360927819
+ ,-0.00066357003099426
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,0.02393949379279
+ ,-1.4654943925052E-14
+ ,-0.023939493792815
+ ,0.02393949379279
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-0.023939493792815
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,0.02393949379279
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-0.023939493792815
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,-9.7699626167014E-15
+ ,0.02393949379279
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-14
+ ,-1.4654943925052E-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] 0.0001831586
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.00080412
> (armose <- arm / armse)
[1] 0.2277752
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 1.738173e-14
> (qua <- quamean(x))
[1] 0.01134499
> (win <- winmean(x))
              [,1]         [,2]
 [1,] 1.831586e-04 8.041200e-04
 [2,] 1.831586e-04 8.041200e-04
 [3,] 1.831586e-04 8.041200e-04
 [4,] 1.831586e-04 8.041200e-04
 [5,] 1.831586e-04 8.041200e-04
 [6,] 1.831586e-04 8.041200e-04
 [7,] 1.831586e-04 8.041200e-04
 [8,] 1.831586e-04 8.041200e-04
 [9,] 1.831586e-04 8.041200e-04
[10,] 1.831586e-04 8.041200e-04
[11,] 1.831586e-04 8.041200e-04
[12,] 1.831586e-04 8.041200e-04
[13,] 1.831586e-04 8.041200e-04
[14,] 1.831586e-04 8.041200e-04
[15,] 1.831586e-04 8.041200e-04
[16,] 1.843921e-04 8.039323e-04
[17,] 1.830815e-04 8.037358e-04
[18,] 2.024718e-04 8.007918e-04
[19,] 1.820042e-04 7.977220e-04
[20,] 1.820042e-04 7.977220e-04
[21,] 1.560121e-03 6.193679e-04
[22,] 2.676731e-03 5.435421e-04
[23,] 3.774758e-16 1.418341e-15
[24,] 3.774758e-16 1.418341e-15
[25,] 3.774758e-16 1.418341e-15
[26,] 3.774758e-16 1.418341e-15
[27,] 3.774758e-16 1.418341e-15
[28,] 3.774758e-16 1.418341e-15
[29,] 3.774758e-16 1.418341e-15
[30,] 3.774758e-16 1.418341e-15
[31,] 3.774758e-16 1.418341e-15
[32,] 4.214407e-15 9.463902e-16
[33,] 4.214407e-15 9.463902e-16
[34,] 4.214407e-15 9.463902e-16
[35,] 4.214407e-15 9.463902e-16
[36,] 4.214407e-15 9.463902e-16
[37,] 4.214407e-15 9.463902e-16
[38,] 4.214407e-15 9.463902e-16
[39,] 4.214407e-15 9.463902e-16
[40,] 4.214407e-15 9.463902e-16
[41,] 4.214407e-15 9.463902e-16
[42,] 4.214407e-15 9.463902e-16
[43,] 4.214407e-15 9.463902e-16
[44,] 4.214407e-15 9.463902e-16
[45,] 4.214407e-15 9.463902e-16
[46,] 4.214407e-15 9.463902e-16
[47,] 4.214407e-15 9.463902e-16
[48,] 4.214407e-15 9.463902e-16
[49,] 4.214407e-15 9.463902e-16
[50,] 4.214407e-15 9.463902e-16
[51,] 5.460077e-15 8.259565e-16
[52,] 5.460077e-15 8.259565e-16
[53,] 5.460077e-15 8.259565e-16
[54,] 5.460077e-15 8.259565e-16
[55,] 5.460077e-15 8.259565e-16
[56,] 5.460077e-15 8.259565e-16
[57,] 5.460077e-15 8.259565e-16
[58,] 5.460077e-15 8.259565e-16
[59,] 5.460077e-15 8.259565e-16
[60,] 5.460077e-15 8.259565e-16
[61,] 5.460077e-15 8.259565e-16
[62,] 5.460077e-15 8.259565e-16
[63,] 1.007638e-14 4.565930e-16
[64,] 1.007638e-14 4.565930e-16
[65,] 1.007638e-14 4.565930e-16
[66,] 1.007638e-14 4.565930e-16
> (tri <- trimean(x))
              [,1]         [,2]
 [1,] 1.850087e-04 7.936087e-04
 [2,] 1.868965e-04 7.824286e-04
 [3,] 1.888233e-04 7.705241e-04
 [4,] 1.907902e-04 7.578326e-04
 [5,] 1.927985e-04 7.442833e-04
 [6,] 1.948495e-04 7.297954e-04
 [7,] 1.969447e-04 7.142759e-04
 [8,] 1.990854e-04 6.976173e-04
 [9,] 2.012732e-04 6.796936e-04
[10,] 2.035095e-04 6.603557e-04
[11,] 2.057962e-04 6.394247e-04
[12,] 2.081347e-04 6.166828e-04
[13,] 2.105271e-04 5.918597e-04
[14,] 2.129751e-04 5.646123e-04
[15,] 2.154807e-04 5.344929e-04
[16,] 2.180459e-04 5.008958e-04
[17,] 2.205801e-04 4.629933e-04
[18,] 2.232701e-04 4.195032e-04
[19,] 2.246966e-04 3.688161e-04
[20,] 2.275053e-04 3.072443e-04
[21,] 2.303851e-04 2.249466e-04
[22,] 1.492046e-04 1.535447e-04
[23,] 3.474854e-15 1.234364e-15
[24,] 3.652049e-15 1.215172e-15
[25,] 3.833970e-15 1.194201e-15
[26,] 4.020808e-15 1.171247e-15
[27,] 4.212764e-15 1.146069e-15
[28,] 4.410053e-15 1.118385e-15
[29,] 4.410053e-15 1.087854e-15
[30,] 4.821540e-15 1.054061e-15
[31,] 5.036229e-15 1.016493e-15
[32,] 5.257233e-15 9.744975e-16
[33,] 5.305872e-15 9.726153e-16
[34,] 5.355985e-15 9.703679e-16
[35,] 5.407640e-15 9.677207e-16
[36,] 5.460910e-15 9.646352e-16
[37,] 5.515870e-15 9.610683e-16
[38,] 5.572603e-15 9.569720e-16
[39,] 5.631197e-15 9.522922e-16
[40,] 5.691743e-15 9.469682e-16
[41,] 5.754342e-15 9.409311e-16
[42,] 5.819100e-15 9.341029e-16
[43,] 5.886130e-15 9.263944e-16
[44,] 5.955554e-15 9.177036e-16
[45,] 6.027502e-15 9.079128e-16
[46,] 6.102115e-15 8.968855e-16
[47,] 6.179543e-15 8.844623e-16
[48,] 6.259950e-15 8.704552e-16
[49,] 6.343510e-15 8.546411e-16
[50,] 6.430412e-15 8.367515e-16
[51,] 6.520861e-15 8.164597e-16
[52,] 6.564194e-15 8.059558e-16
[53,] 6.609370e-15 7.939751e-16
[54,] 6.656511e-15 7.802982e-16
[55,] 6.705747e-15 7.646600e-16
[56,] 6.757221e-15 7.467360e-16
[57,] 6.757221e-15 7.261220e-16
[58,] 6.811089e-15 7.023055e-16
[59,] 6.926709e-15 6.746205e-16
[60,] 6.988854e-15 6.421748e-16
[61,] 7.054186e-15 6.037238e-16
[62,] 7.122957e-15 5.574325e-16
[63,] 7.195445e-15 5.003690e-16
[64,] 7.068420e-15 4.874696e-16
[65,] 6.934136e-15 4.716703e-16
[66,] 6.791953e-15 4.522085e-16
> (midr <- midrange(x))
[1] 1.200082e-14
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 6.088616e-15 6.088616e-15 6.088616e-15 6.088616e-15 6.088616e-15
[6] 6.088616e-15 6.088616e-15 6.088616e-15
> postscript(file="/var/www/html/rcomp/tmp/1bw2v1290437751.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/2bw2v1290437751.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/3o8ax1290437751.tab") 
> 
> try(system("convert tmp/1bw2v1290437751.ps tmp/1bw2v1290437751.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bw2v1290437751.ps tmp/2bw2v1290437751.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.026   0.356   2.882