R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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(57.33
+ ,57.33
+ ,57.47
+ ,57.47
+ ,57.67
+ ,57.67
+ ,57.67
+ ,57.67
+ ,57.80
+ ,57.87
+ ,58.00
+ ,58.00
+ ,58.00
+ ,58.00
+ ,58.00
+ ,58.00
+ ,58.00
+ ,58.00
+ ,58.07
+ ,58.20
+ ,58.27
+ ,58.27
+ ,58.33
+ ,58.33
+ ,58.33
+ ,58.40
+ ,58.67
+ ,58.67
+ ,58.67
+ ,58.67
+ ,58.67
+ ,58.67
+ ,58.67
+ ,58.80
+ ,58.80
+ ,58.93
+ ,59.00
+ ,59.00
+ ,59.00
+ ,59.13
+ ,59.13
+ ,59.33
+ ,59.33
+ ,59.33
+ ,59.33
+ ,59.33
+ ,59.40
+ ,59.47
+ ,59.53
+ ,59.53
+ ,59.53
+ ,59.60
+ ,59.67
+ ,59.67
+ ,59.67
+ ,59.67
+ ,59.67
+ ,59.67
+ ,59.67
+ ,59.67
+ ,59.73
+ ,59.73
+ ,59.73
+ ,59.80
+ ,59.80
+ ,59.87
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.00
+ ,60.13
+ ,60.13
+ ,60.13
+ ,60.33
+ ,60.33
+ ,60.33
+ ,60.33
+ ,60.33
+ ,60.33
+ ,60.33
+ ,60.40
+ ,60.47
+ ,60.67
+ ,60.67
+ ,60.67
+ ,60.67
+ ,60.67
+ ,60.73
+ ,60.80
+ ,60.87
+ ,61.00
+ ,61.00
+ ,61.00
+ ,61.00
+ ,61.00
+ ,61.00
+ ,61.00
+ ,61.00
+ ,61.27
+ ,61.27
+ ,61.33
+ ,61.33
+ ,61.33
+ ,61.33
+ ,61.33
+ ,61.33
+ ,61.33
+ ,61.33
+ ,61.40
+ ,61.40
+ ,61.47
+ ,61.47
+ ,61.60
+ ,61.60
+ ,61.60
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.67
+ ,61.80
+ ,61.87
+ ,61.93
+ ,61.93
+ ,61.93
+ ,62.00
+ ,62.00
+ ,62.00
+ ,62.00
+ ,62.00
+ ,62.00
+ ,62.00
+ ,62.13
+ ,62.20
+ ,62.33
+ ,62.33
+ ,62.33
+ ,62.33
+ ,62.40
+ ,62.40
+ ,62.40
+ ,62.40
+ ,62.40
+ ,62.53
+ ,62.60
+ ,62.60
+ ,62.60
+ ,62.60
+ ,62.67
+ ,62.67
+ ,62.67
+ ,62.80
+ ,62.80
+ ,62.80
+ ,62.87
+ ,62.87
+ ,62.93
+ ,62.93
+ ,63.00
+ ,63.00
+ ,63.00
+ ,63.00
+ ,63.00
+ ,63.07
+ ,63.13
+ ,63.20
+ ,63.27
+ ,63.33
+ ,63.33
+ ,63.33
+ ,63.33
+ ,63.33
+ ,63.33
+ ,63.33
+ ,63.47
+ ,63.53
+ ,63.53
+ ,63.53
+ ,63.60
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.67
+ ,63.73
+ ,63.73
+ ,63.73
+ ,63.87
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.00
+ ,64.07
+ ,64.07
+ ,64.07
+ ,64.13
+ ,64.20
+ ,64.20
+ ,64.27
+ ,64.27
+ ,64.33
+ ,64.33
+ ,64.40
+ ,64.47
+ ,64.60
+ ,64.60
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.67
+ ,64.73
+ ,64.80
+ ,64.87
+ ,65.00
+ ,65.00
+ ,65.00
+ ,65.00
+ ,65.00
+ ,65.07
+ ,65.07
+ ,65.20
+ ,65.33
+ ,65.33
+ ,65.47
+ ,65.47
+ ,65.60
+ ,65.67
+ ,65.67
+ ,65.67
+ ,65.67
+ ,65.67
+ ,65.67
+ ,65.67
+ ,65.80
+ ,65.80
+ ,65.80
+ ,65.93
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.00
+ ,66.07
+ ,66.20
+ ,66.20
+ ,66.27
+ ,66.27
+ ,66.33
+ ,66.33
+ ,66.47
+ ,66.53
+ ,66.53
+ ,66.53
+ ,66.60)
> 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] 62.18533
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.14786
> (armose <- arm / armse)
[1] 420.569
> (geo <- geomean(x))
[1] 62.13452
> (har <- harmean(x))
[1] 62.08354
> (qua <- quamean(x))
[1] 62.23593
> (win <- winmean(x))
          [,1]       [,2]
 [1,] 62.18509 0.14783508
 [2,] 62.18606 0.14772614
 [3,] 62.18606 0.14772614
 [4,] 62.18799 0.14734105
 [5,] 62.18557 0.14710036
 [6,] 62.18557 0.14710036
 [7,] 62.18412 0.14695912
 [8,] 62.18772 0.14658020
 [9,] 62.18772 0.14614579
[10,] 62.19221 0.14569034
[11,] 62.18727 0.14522434
[12,] 62.18436 0.14495660
[13,] 62.18436 0.14495660
[14,] 62.18436 0.14495660
[15,] 62.18436 0.14495660
[16,] 62.18436 0.14495660
[17,] 62.18436 0.14495660
[18,] 62.18872 0.14452238
[19,] 62.19727 0.14368670
[20,] 62.20211 0.14322183
[21,] 62.20211 0.14322183
[22,] 62.20668 0.14278883
[23,] 62.20111 0.14227841
[24,] 62.19031 0.14130836
[25,] 62.19637 0.14073759
[26,] 62.22066 0.13851860
[27,] 62.20851 0.13744264
[28,] 62.20851 0.13744264
[29,] 62.20851 0.13744264
[30,] 62.20851 0.13744264
[31,] 62.20851 0.13744264
[32,] 62.20851 0.13744264
[33,] 62.22336 0.13613099
[34,] 62.21512 0.13541160
[35,] 62.21512 0.13269156
[36,] 62.22384 0.13194688
[37,] 62.20592 0.13043590
[38,] 62.20592 0.13043590
[39,] 62.20592 0.12750760
[40,] 62.18792 0.12605979
[41,] 62.21630 0.12371518
[42,] 62.20612 0.12290630
[43,] 62.20612 0.12290630
[44,] 62.20612 0.12290630
[45,] 62.20612 0.12290630
[46,] 62.21727 0.12200696
[47,] 62.20751 0.11944203
[48,] 62.20585 0.11775771
[49,] 62.19398 0.11685659
[50,] 62.18360 0.11607944
[51,] 62.19595 0.11510548
[52,] 62.20855 0.11412591
[53,] 62.20855 0.11412591
[54,] 62.20855 0.11412591
[55,] 62.20855 0.11412591
[56,] 62.20855 0.11412591
[57,] 62.20855 0.11412591
[58,] 62.20855 0.11412591
[59,] 62.20855 0.11412591
[60,] 62.22100 0.11316882
[61,] 62.22100 0.11316882
[62,] 62.20599 0.11204754
[63,] 62.22125 0.11088361
[64,] 62.19246 0.10876453
[65,] 62.19246 0.10642740
[66,] 62.20616 0.10305112
[67,] 62.20616 0.10305112
[68,] 62.19204 0.10204687
[69,] 62.19204 0.10204687
[70,] 62.17509 0.10085644
[71,] 62.17509 0.10085644
[72,] 62.15765 0.09964924
[73,] 62.14249 0.09861412
[74,] 62.14249 0.09861412
[75,] 62.17623 0.09609406
[76,] 62.15782 0.09484342
[77,] 62.15782 0.09484342
[78,] 62.21180 0.09089831
[79,] 62.21180 0.09089831
[80,] 62.21180 0.09089831
[81,] 62.21180 0.09089831
[82,] 62.21180 0.09089831
[83,] 62.21180 0.09089831
[84,] 62.21180 0.09089831
[85,] 62.19415 0.08683219
[86,] 62.17332 0.08257881
[87,] 62.23353 0.07833461
[88,] 62.23353 0.07833461
[89,] 62.21505 0.07711649
[90,] 62.21505 0.07711649
[91,] 62.21505 0.07711649
[92,] 62.23415 0.07579399
[93,] 62.25668 0.07425057
[94,] 62.27945 0.07270875
[95,] 62.32218 0.06986589
[96,] 62.32218 0.06986589
> (tri <- trimean(x))
          [,1]       [,2]
 [1,] 62.18686 0.14711978
 [2,] 62.18867 0.14637321
 [3,] 62.19000 0.14565160
 [4,] 62.19135 0.14489802
 [5,] 62.19222 0.14421676
 [6,] 62.19361 0.14355834
 [7,] 62.19502 0.14286971
 [8,] 62.19667 0.14217277
 [9,] 62.19786 0.14149964
[10,] 62.19907 0.14085293
[11,] 62.19981 0.14023121
[12,] 62.20106 0.13963194
[13,] 62.20259 0.13903139
[14,] 62.20414 0.13840123
[15,] 62.20571 0.13774000
[16,] 62.20732 0.13704616
[17,] 62.20894 0.13631805
[18,] 62.21059 0.13555390
[19,] 62.21199 0.13478642
[20,] 62.21289 0.13404463
[21,] 62.21352 0.13329974
[22,] 62.21416 0.13251689
[23,] 62.21457 0.13172435
[24,] 62.21527 0.13092569
[25,] 62.21527 0.13014966
[26,] 62.21751 0.12937012
[27,] 62.21736 0.12868987
[28,] 62.21777 0.12803872
[29,] 62.21818 0.12735157
[30,] 62.21860 0.12662641
[31,] 62.21903 0.12586107
[32,] 62.21947 0.12505321
[33,] 62.21991 0.12420031
[34,] 62.21977 0.12337522
[35,] 62.21995 0.12254424
[36,] 62.22014 0.12181768
[37,] 62.22000 0.12108942
[38,] 62.22052 0.12039993
[39,] 62.22104 0.11966884
[40,] 62.22158 0.11904942
[41,] 62.22275 0.11846607
[42,] 62.22298 0.11796658
[43,] 62.22355 0.11747422
[44,] 62.22413 0.11694806
[45,] 62.22472 0.11638601
[46,] 62.22533 0.11578581
[47,] 62.22559 0.11519098
[48,] 62.22617 0.11468429
[49,] 62.22681 0.11422454
[50,] 62.22681 0.11377410
[51,] 62.22920 0.11332665
[52,] 62.23022 0.11289279
[53,] 62.23087 0.11247277
[54,] 62.23155 0.11201837
[55,] 62.23223 0.11152724
[56,] 62.23294 0.11099686
[57,] 62.23366 0.11042448
[58,] 62.23439 0.10980709
[59,] 62.23515 0.10914142
[60,] 62.23592 0.10842388
[61,] 62.23592 0.10770150
[62,] 62.23679 0.10692227
[63,] 62.23767 0.10614161
[64,] 62.23814 0.10536248
[65,] 62.23943 0.10463394
[66,] 62.24076 0.10397138
[67,] 62.24174 0.10343364
[68,] 62.24275 0.10284633
[69,] 62.24417 0.10225866
[70,] 62.24564 0.10161642
[71,] 62.24762 0.10097919
[72,] 62.24966 0.10028205
[73,] 62.25224 0.09958594
[74,] 62.25532 0.09888018
[75,] 62.25849 0.09810603
[76,] 62.26080 0.09741452
[77,] 62.26080 0.09672462
[78,] 62.26669 0.09596411
[79,] 62.26824 0.09537751
[80,] 62.26984 0.09472637
[81,] 62.27150 0.09400437
[82,] 62.27320 0.09320436
[83,] 62.27496 0.09231827
[84,] 62.27678 0.09133689
[85,] 62.27866 0.09024969
[86,] 62.28111 0.08933299
[87,] 62.28426 0.08860699
[88,] 62.28575 0.08810091
[89,] 62.28730 0.08752498
[90,] 62.28945 0.08695405
[91,] 62.29168 0.08630378
[92,] 62.29400 0.08556477
[93,] 62.29583 0.08483369
[94,] 62.29703 0.08412809
[95,] 62.29758 0.08344866
[96,] 62.29680 0.08289898
> (midr <- midrange(x))
[1] 61.965
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 62.14713 62.16026 62.16026 62.16026 62.16026 62.16026 62.16026 62.16026
> postscript(file="/var/www/rcomp/tmp/1uy5i1318506563.ps",horizontal=F,onefile=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/2jvam1318506563.ps",horizontal=F,onefile=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/3d0ut1318506563.tab") 
> 
> try(system("convert tmp/1uy5i1318506563.ps tmp/1uy5i1318506563.png",intern=TRUE))
character(0)
> try(system("convert tmp/2jvam1318506563.ps tmp/2jvam1318506563.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.690   0.040   1.742