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(0.24320322098874
+ ,-5.7731597280508E-15
+ ,-5.7731597280508E-15
+ ,-5.7731597280508E-15
+ ,-5.7731597280508E-15
+ ,-0.24320322098871
+ ,3.9523939676656E-14
+ ,3.9523939676656E-14
+ ,0.01889076246954
+ ,-0.018890762469514
+ ,3.9523939676656E-14
+ ,0.01889076246954
+ ,-0.018890762469514
+ ,0.01889076246954
+ ,-1.4210854715202E-14
+ ,-1.4210854715202E-14
+ ,-1.4210854715202E-14
+ ,-0.077171589615714
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-0.010797183330221
+ ,4.3076653355456E-14
+ ,0.00063836580524335
+ ,-0.00063836580522958
+ ,4.3076653355456E-14
+ ,4.3076653355456E-14
+ ,4.3076653355456E-14
+ ,4.3076653355456E-14
+ ,0.010797183330243
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-0.010797183330221
+ ,0.010797183330243
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-0.010797183330221
+ ,0.010797183330243
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-2.0872192862953E-14
+ ,-0.33710414817462
+ ,-0.020563978997795
+ ,0.020563978997754
+ ,4.8849813083507E-15
+ ,4.8849813083507E-15
+ ,-0.036039936483195
+ ,0.015475957485402
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-0.0063434739221457
+ ,0.026907452919929
+ ,4.8849813083507E-15
+ ,-0.020563978997795
+ ,-4.5741188614556E-14
+ ,-4.5741188614556E-14
+ ,-0.021918685707646
+ ,8.8817841970013E-16
+ ,0.014665707402601
+ ,-0.01466570740263
+ ,-0.079734968018899
+ ,0.094400675421454
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-2.9753977059954E-14
+ ,-0.01466570740263
+ ,8.8817841970013E-16
+ ,8.8817841970013E-16
+ ,0.014665707402601
+ ,-2.9753977059954E-14
+ ,-0.01466570740263
+ ,-0.0055555698445993
+ ,-0.018744691286197
+ ,-4.6185277824407E-14
+ ,-4.6185277824407E-14
+ ,0.018744691286154
+ ,2.6645352591004E-15
+ ,-0.018744691286197
+ ,-0.0056926149932464
+ ,-0.01921288685996
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,0.00096946202453108
+ ,-1.6875389974302E-14
+ ,-1.6875389974302E-14
+ ,-0.00096946202451687
+ ,0.00096946202453108
+ ,-1.6875389974302E-14
+ ,-0.00096946202451687
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,-0.24125023635047
+ ,0.24125023635051
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,0.019212886860031
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,4.0412118096356E-14
+ ,-0.01921288685996
+ ,3.1086244689504E-14
+ ,3.1086244689504E-14
+ ,-0.071351199555069
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,9.3258734068513E-15
+ ,-0.01892800988549
+ ,2.8421709430404E-14
+ ,2.8421709430404E-14
+ ,2.8421709430404E-14
+ ,2.8421709430404E-14
+ ,0.018928009885528
+ ,9.3258734068513E-15
+ ,-0.01892800988549
+ ,-0.034560675065472
+ ,-0.011049836186604
+ ,-1.9539925233403E-14
+ ,-1.9539925233403E-14
+ ,-1.9539925233403E-14
+ ,0.01104983618658
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-0.011049836186604
+ ,-0.10043439732182
+ ,0.11148423350835
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-0.1114842335084
+ ,0.11148423350835
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-4.4408920985006E-15
+ ,-0.1114842335084
+ ,-4.8849813083507E-14
+ ,-0.017348638334649
+ ,0.012422519998564
+ ,0.021978906718807
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,-0.021978906718768
+ ,6.6613381477509E-15
+ ,6.6613381477509E-15
+ ,6.6613381477509E-15
+ ,0.021978906718807
+ ,-0.021978906718768
+ ,6.6613381477509E-15
+ ,6.6613381477509E-15
+ ,6.6613381477509E-15
+ ,0.021978906718807
+ ,3.1974423109205E-14
+ ,-0.021978906718768
+ ,0.021978906718807
+ ,-0.021978906718768
+ ,0.021978906718807
+ ,3.1974423109205E-14
+ ,3.1974423109205E-14
+ ,-0.021978906718768
+ ,6.6613381477509E-15
+ ,0.021978906718807
+ ,3.1974423109205E-14
+ ,-0.034401426717368
+ ,0.034401426717364
+ ,3.1974423109205E-14
+ ,0.034424764212532
+ ,-0.068826190929888
+ ,0.068826190929864
+ ,1.1546319456102E-14
+ ,1.1546319456102E-14
+ ,1.1546319456102E-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] -0.0033596
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.003412471
> (armose <- arm / armse)
[1] -0.9845065
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 1.106251e-13
> (qua <- quamean(x))
[1] 0.04825592
> (win <- winmean(x))
               [,1]         [,2]
 [1,] -2.899860e-03 3.204140e-03
 [2,] -4.177990e-03 2.805952e-03
 [3,] -2.231500e-03 2.117979e-03
 [4,] -2.573171e-03 2.030787e-03
 [5,] -2.936288e-03 1.815333e-03
 [6,] -3.347348e-03 1.478093e-03
 [7,] -3.258446e-03 1.454884e-03
 [8,] -3.325389e-03 1.359544e-03
 [9,] -3.433549e-03 1.307733e-03
[10,] -1.794236e-03 9.430635e-04
[11,] -1.712877e-03 9.284062e-04
[12,] -1.703322e-03 9.267098e-04
[13,] -8.958579e-04 8.003550e-04
[14,] -8.958579e-04 8.003550e-04
[15,] -1.001977e-03 7.854104e-04
[16,] -1.110065e-03 7.707902e-04
[17,] -1.134279e-03 7.675958e-04
[18,] -1.132212e-03 7.664165e-04
[19,] -1.003515e-03 7.492003e-04
[20,] -1.003515e-03 7.492003e-04
[21,] -8.769874e-04 7.288619e-04
[22,] -1.236548e-03 6.823413e-04
[23,] -1.296966e-03 6.666544e-04
[24,] -1.296966e-03 6.666544e-04
[25,] -1.572709e-03 6.335602e-04
[26,] -1.751157e-03 6.143042e-04
[27,] -1.765546e-03 6.079814e-04
[28,] -1.765546e-03 6.079814e-04
[29,] -1.563118e-03 5.799245e-04
[30,] -2.634837e-03 4.022387e-04
[31,] -2.634837e-03 4.022387e-04
[32,] -2.687812e-03 3.999388e-04
[33,] -2.196524e-03 3.075291e-04
[34,] -2.196524e-03 3.075291e-04
[35,] -2.152310e-03 3.011418e-04
[36,] -2.152310e-03 3.011418e-04
[37,] -2.152310e-03 3.011418e-04
[38,] -1.306105e-03 1.802931e-04
[39,] -1.179187e-03 1.625248e-04
[40,] -1.151778e-03 1.587013e-04
[41,] -2.116262e-04 2.829503e-05
[42,] -2.116262e-04 2.829503e-05
[43,] -1.404405e-04 1.874570e-05
[44,] -6.115108e-15 2.297589e-15
[45,] -5.515588e-15 2.242241e-15
[46,] -5.515588e-15 2.242241e-15
[47,] -5.411227e-15 2.232748e-15
[48,] -5.411227e-15 2.232748e-15
[49,] -5.411227e-15 2.232748e-15
[50,] -5.411227e-15 2.232748e-15
[51,] -5.637713e-15 2.213780e-15
[52,] -5.637713e-15 2.213780e-15
[53,] -5.637713e-15 2.213780e-15
[54,] -5.637713e-15 2.213780e-15
[55,] -5.637713e-15 2.213780e-15
[56,] -1.161293e-15 1.831810e-15
[57,] -1.161293e-15 1.831810e-15
[58,] -1.161293e-15 1.831810e-15
[59,] -1.161293e-15 1.831810e-15
[60,]  1.503242e-15 1.634957e-15
[61,]  1.503242e-15 1.634957e-15
[62,]  1.503242e-15 1.634957e-15
[63,]  1.503242e-15 1.634957e-15
[64,]  1.503242e-15 1.634957e-15
[65,]  6.372680e-16 1.556741e-15
[66,]  6.372680e-16 1.556741e-15
> (tri <- trimean(x))
               [,1]         [,2]
 [1,] -2.919288e-03 2.732555e-03
 [2,] -2.939113e-03 2.133049e-03
 [3,] -2.300516e-03 1.666086e-03
 [4,] -2.324479e-03 1.468333e-03
 [5,] -2.259034e-03 1.268610e-03
 [6,] -2.114938e-03 1.107195e-03
 [7,] -1.894076e-03 1.018971e-03
 [8,] -1.682217e-03 9.237962e-04
 [9,] -1.456506e-03 8.365849e-04
[10,] -1.212427e-03 7.465343e-04
[11,] -1.147055e-03 7.171815e-04
[12,] -1.088603e-03 6.873912e-04
[13,] -1.029722e-03 6.549046e-04
[14,] -1.041695e-03 6.372130e-04
[15,] -1.053950e-03 6.180406e-04
[16,] -1.058075e-03 5.990716e-04
[17,] -1.054160e-03 5.801994e-04
[18,] -1.048413e-03 5.600013e-04
[19,] -1.042665e-03 5.380275e-04
[20,] -1.045241e-03 5.159266e-04
[21,] -1.047882e-03 4.915311e-04
[22,] -1.058315e-03 4.669148e-04
[23,] -1.047794e-03 4.451247e-04
[24,] -1.033539e-03 4.227453e-04
[25,] -1.018904e-03 3.977072e-04
[26,] -9.889689e-04 3.734941e-04
[27,] -9.488115e-04 3.483731e-04
[28,] -9.067984e-04 3.204349e-04
[29,] -9.067984e-04 2.878450e-04
[30,] -8.291429e-04 2.535485e-04
[31,] -7.419113e-04 2.362573e-04
[32,] -6.521141e-04 2.160989e-04
[33,] -5.571655e-04 1.921671e-04
[34,] -4.818965e-04 1.778538e-04
[35,] -4.043115e-04 1.609238e-04
[36,] -3.262759e-04 1.414668e-04
[37,] -2.457630e-04 1.167730e-04
[38,] -1.626528e-04 8.198486e-05
[39,] -1.133236e-04 6.583939e-05
[40,] -6.777383e-05 4.778012e-05
[41,] -2.184144e-05 1.271187e-05
[42,] -1.386058e-05 9.966518e-06
[43,] -5.599700e-06 5.599700e-06
[44,] -4.290219e-15 2.296001e-15
[45,] -4.214810e-15 2.278293e-15
[46,] -4.161280e-15 2.262690e-15
[47,] -4.105730e-15 2.244928e-15
[48,] -4.052314e-15 2.225529e-15
[49,] -3.996803e-15 2.203492e-15
[50,] -3.939071e-15 2.178481e-15
[51,] -3.878983e-15 2.150103e-15
[52,] -3.807140e-15 2.119515e-15
[53,] -3.732239e-15 2.084731e-15
[54,] -3.654082e-15 2.045119e-15
[55,] -3.572451e-15 1.999912e-15
[56,] -3.487110e-15 1.948163e-15
[57,] -3.487110e-15 1.927944e-15
[58,] -3.583697e-15 1.904312e-15
[59,] -3.791005e-15 1.876724e-15
[60,] -3.902434e-15 1.844520e-15
[61,] -4.133446e-15 1.824187e-15
[62,] -4.376616e-15 1.799649e-15
[63,] -4.632931e-15 1.770120e-15
[64,] -4.903485e-15 1.734612e-15
[65,] -5.189500e-15 1.691863e-15
[66,] -5.453154e-15 1.652745e-15
> (midr <- midrange(x))
[1] -0.04695046
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -3.112699e-15 -3.112699e-15 -3.112699e-15 -3.112699e-15 -3.112699e-15
[6] -3.112699e-15 -3.112699e-15 -3.112699e-15
> postscript(file="/var/www/html/rcomp/tmp/1ryb71290526562.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/22paa1290526562.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/34sk91290526562.tab") 
> 
> try(system("convert tmp/1ryb71290526562.ps tmp/1ryb71290526562.png",intern=TRUE))
character(0)
> try(system("convert tmp/22paa1290526562.ps tmp/22paa1290526562.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.024   0.354   3.380