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(4.2632564145606E-14
+ ,0.0051001932048425
+ ,2.2204460492503E-15
+ ,2.2204460492503E-15
+ ,2.2204460492503E-15
+ ,2.2204460492503E-15
+ ,2.2204460492503E-15
+ ,2.2204460492503E-15
+ ,-0.010226531783798
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,3.3750779948605E-14
+ ,0.010226531783834
+ ,-0.6758556834499
+ ,0.66342407910779
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,4.7517545453957E-14
+ ,0.0080616046710476
+ ,2.0872192862953E-14
+ ,2.0872192862953E-14
+ ,2.0872192862953E-14
+ ,2.0872192862953E-14
+ ,-0.0080616046709792
+ ,-0.018567187675552
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,-0.013585114590278
+ ,2.8865798640254E-14
+ ,2.8865798640254E-14
+ ,0.013585114590329
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,2.2204460492503E-14
+ ,-0.013585114590278
+ ,0.013585114590329
+ ,-0.0075244899785778
+ ,3.7747582837255E-14
+ ,3.7747582837255E-14
+ ,3.7747582837255E-14
+ ,3.7747582837255E-14
+ ,3.7747582837255E-14
+ ,-0.014454416740162
+ ,-2.2204460492503E-15
+ ,-0.024041483624702
+ ,-0.014229489103917
+ ,0.014229489103947
+ ,-0.039220713153317
+ ,-3.5971225997855E-14
+ ,-3.5971225997855E-14
+ ,-3.5971225997855E-14
+ ,0.015391150320264
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-3.3306690738755E-14
+ ,-0.015391150320333
+ ,-0.0098442140347359
+ ,4.1300296516056E-14
+ ,-0.013278203386059
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,0.013278203386118
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,-0.013278203386059
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,0.013278203386118
+ ,-0.013278203386059
+ ,0.013278203386118
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,-0.013278203386059
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,0.013278203386118
+ ,4.1300296516056E-14
+ ,4.1300296516056E-14
+ ,-0.013278203386059
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,0.013278203386118
+ ,-0.013278203386059
+ ,1.8207657603853E-14
+ ,1.8207657603853E-14
+ ,0.013278203386118
+ ,4.1300296516056E-14
+ ,-0.025043044965659
+ ,0.0058997221272046
+ ,1.6431300764452E-14
+ ,1.6431300764452E-14
+ ,1.6431300764452E-14
+ ,1.6431300764452E-14
+ ,1.6431300764452E-14
+ ,0.010865129869116
+ ,1.2434497875802E-14
+ ,1.2434497875802E-14
+ ,1.2434497875802E-14
+ ,1.2434497875802E-14
+ ,1.2434497875802E-14
+ ,1.2434497875802E-14
+ ,1.2434497875802E-14
+ ,-0.026106745837688
+ ,-0.015477523068867
+ ,0.015477523068947
+ ,3.3306690738755E-14
+ ,-0.015477523068867
+ ,0.015477523068947
+ ,-0.015477523068867
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,0.015477523068947
+ ,3.3306690738755E-14
+ ,3.3306690738755E-14
+ ,3.3306690738755E-14
+ ,-0.015477523068867
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,0.015477523068947
+ ,3.3306690738755E-14
+ ,3.3306690738755E-14
+ ,3.3306690738755E-14
+ ,-0.015477523068867
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,0.015477523068947
+ ,-0.015477523068867
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,0.015477523068947
+ ,3.3306690738755E-14
+ ,-0.015477523068867
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,4.6629367034257E-14
+ ,0.015477523068947)
> 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] -0.0007768443
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.004777797
> (armose <- arm / armse)
[1] -0.1625947
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 3.127617e-14
> (qua <- quamean(x))
[1] 0.0674036
> (win <- winmean(x))
               [,1]         [,2]
 [1,] -8.334022e-04 5.797141e-04
 [2,] -7.022625e-04 5.422454e-04
 [3,] -6.863070e-04 5.385539e-04
 [4,] -6.662758e-04 5.340745e-04
 [5,] -5.294184e-04 5.067098e-04
 [6,] -4.367285e-04 4.912714e-04
 [7,] -4.367285e-04 4.912714e-04
 [8,] -4.401834e-04 4.907101e-04
 [9,] -4.924581e-04 4.824629e-04
[10,] -5.246768e-04 4.776008e-04
[11,] -5.246768e-04 4.776008e-04
[12,] -5.430915e-04 4.748872e-04
[13,] -5.374773e-04 4.740016e-04
[14,] -4.719059e-04 4.638705e-04
[15,] -4.550364e-04 4.613272e-04
[16,] -4.034864e-04 4.536959e-04
[17,] -4.034864e-04 4.536959e-04
[18,] -5.930410e-04 4.181070e-04
[19,] -6.537078e-04 4.098822e-04
[20,] -8.702005e-04 3.826876e-04
[21,] -1.097198e-03 3.581620e-04
[22,] -1.185146e-03 3.498713e-04
[23,] -1.771669e-03 3.141069e-04
[24,] -1.405468e-03 2.474999e-04
[25,] -1.357678e-03 2.389556e-04
[26,] -1.125939e-03 1.978392e-04
[27,] -1.053429e-03 1.850818e-04
[28,]  2.112976e-14 2.195272e-15
[29,]  2.112976e-14 2.195272e-15
[30,]  2.112976e-14 2.195272e-15
[31,]  2.140510e-14 2.133415e-15
[32,]  2.140510e-14 2.133415e-15
[33,]  2.140510e-14 2.133415e-15
[34,]  2.140510e-14 2.133415e-15
[35,]  2.140510e-14 2.133415e-15
[36,]  2.140510e-14 2.133415e-15
[37,]  2.140510e-14 2.133415e-15
[38,]  2.140510e-14 2.133415e-15
[39,]  2.140510e-14 2.133415e-15
[40,]  2.762235e-14 1.381943e-15
[41,]  2.853273e-14 1.285640e-15
[42,]  2.853273e-14 1.285640e-15
[43,]  2.853273e-14 1.285640e-15
[44,]  2.853273e-14 1.285640e-15
[45,]  2.853273e-14 1.285640e-15
[46,]  2.853273e-14 1.285640e-15
[47,]  3.093303e-14 1.054689e-15
[48,]  3.093303e-14 1.054689e-15
[49,]  3.093303e-14 1.054689e-15
[50,]  3.093303e-14 1.054689e-15
[51,]  3.093303e-14 1.054689e-15
[52,]  3.093303e-14 1.054689e-15
[53,]  3.093303e-14 1.054689e-15
[54,]  3.201217e-14 9.631009e-16
[55,]  3.201217e-14 9.631009e-16
[56,]  3.201217e-14 9.631009e-16
[57,]  3.201217e-14 9.631009e-16
[58,]  3.201217e-14 9.631009e-16
[59,]  3.253620e-14 9.213052e-16
[60,]  3.253620e-14 9.213052e-16
[61,]  3.253620e-14 9.213052e-16
[62,]  3.253620e-14 9.213052e-16
[63,]  3.253620e-14 9.213052e-16
[64,]  3.253620e-14 9.213052e-16
[65,]  3.253620e-14 9.213052e-16
[66,]  3.253620e-14 9.213052e-16
> (tri <- trimean(x))
               [,1]         [,2]
 [1,] -7.219053e-04 5.461201e-04
 [2,] -6.081330e-04 5.085947e-04
 [3,] -5.596126e-04 4.896484e-04
 [4,] -5.156214e-04 4.705533e-04
 [5,] -4.759756e-04 4.511930e-04
 [6,] -4.646047e-04 4.374829e-04
 [7,] -4.696005e-04 4.261507e-04
 [8,] -4.747048e-04 4.139358e-04
 [9,] -4.794468e-04 4.008310e-04
[10,] -4.778405e-04 3.880327e-04
[11,] -4.725780e-04 3.749176e-04
[12,] -4.671958e-04 3.606367e-04
[13,] -4.599261e-04 3.454170e-04
[14,] -4.529895e-04 3.288081e-04
[15,] -4.513999e-04 3.119214e-04
[16,] -4.511113e-04 2.935085e-04
[17,] -4.546975e-04 2.739745e-04
[18,] -4.583712e-04 2.518038e-04
[19,] -4.491346e-04 2.318781e-04
[20,] -4.356758e-04 2.101754e-04
[21,] -4.081743e-04 1.890458e-04
[22,] -3.661093e-04 1.677987e-04
[23,] -3.177600e-04 1.433024e-04
[24,] -2.345845e-04 1.171011e-04
[25,] -1.695354e-04 9.789842e-05
[26,] -1.053115e-04 7.425738e-05
[27,] -5.153760e-05 5.153760e-05
[28,]  2.710178e-14 1.919588e-15
[29,]  2.710178e-14 1.889331e-15
[30,]  2.771117e-14 1.856016e-15
[31,]  2.802911e-14 1.819271e-15
[32,]  2.834334e-14 1.784290e-15
[33,]  2.866695e-14 1.745563e-15
[34,]  2.900037e-14 1.702575e-15
[35,]  2.934405e-14 1.654705e-15
[36,]  2.969847e-14 1.601186e-15
[37,]  3.006413e-14 1.541056e-15
[38,]  3.044160e-14 1.473074e-15
[39,]  3.083144e-14 1.395591e-15
[40,]  3.123427e-14 1.306331e-15
[41,]  3.138732e-14 1.290990e-15
[42,]  3.150736e-14 1.282016e-15
[43,]  3.163162e-14 1.271820e-15
[44,]  3.176031e-14 1.260260e-15
[45,]  3.189368e-14 1.247166e-15
[46,]  3.203199e-14 1.232346e-15
[47,]  3.217552e-14 1.215571e-15
[48,]  3.222636e-14 1.216291e-15
[49,]  3.227919e-14 1.216574e-15
[50,]  3.233414e-14 1.216364e-15
[51,]  3.239132e-14 1.215597e-15
[52,]  3.245089e-14 1.214200e-15
[53,]  3.251300e-14 1.212089e-15
[54,]  3.257781e-14 1.209168e-15
[55,]  3.260108e-14 1.212831e-15
[56,]  3.262542e-14 1.216187e-15
[57,]  3.262542e-14 1.219184e-15
[58,]  3.265088e-14 1.221763e-15
[59,]  3.270555e-14 1.223852e-15
[60,]  3.271272e-14 1.228898e-15
[61,]  3.272027e-14 1.233640e-15
[62,]  3.272821e-14 1.238013e-15
[63,]  3.273658e-14 1.241942e-15
[64,]  3.274541e-14 1.245339e-15
[65,]  3.275475e-14 1.248099e-15
[66,]  3.276464e-14 1.250092e-15
> (midr <- midrange(x))
[1] -0.006215802
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 3.407111e-14 3.407111e-14 3.407111e-14 3.407111e-14 3.407111e-14
[6] 3.407111e-14 3.407111e-14 3.407111e-14
> postscript(file="/var/www/html/rcomp/tmp/1smvh1290524796.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/23dc21290524796.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/3ny3j1290524796.tab") 
> 
> try(system("convert tmp/1smvh1290524796.ps tmp/1smvh1290524796.png",intern=TRUE))
character(0)
> try(system("convert tmp/23dc21290524796.ps tmp/23dc21290524796.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.030   0.365   2.360