R version 2.13.0 (2011-04-13)
Copyright (C) 2011 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(9.4
+ ,9.8
+ ,9.8
+ ,9.8
+ ,9.4
+ ,9.4
+ ,9.4
+ ,10
+ ,9.5
+ ,10.5
+ ,9.2
+ ,10.5
+ ,9.9
+ ,9.1
+ ,9.2
+ ,9.2
+ ,10.5
+ ,9.3
+ ,9
+ ,9.2
+ ,9.4
+ ,9.7
+ ,9.5
+ ,9.4
+ ,9.7
+ ,9.3
+ ,9.5
+ ,9.5
+ ,9.4
+ ,9.8
+ ,10.1
+ ,10.6
+ ,9.8
+ ,9.4
+ ,9.2
+ ,9.6
+ ,10.8
+ ,9.7
+ ,9.8
+ ,10.5
+ ,10.5
+ ,9.3
+ ,10.5
+ ,10.3
+ ,9.5
+ ,13.1
+ ,9.2
+ ,9.5
+ ,9.2
+ ,9.2
+ ,9.2
+ ,9.4
+ ,9.4
+ ,9.4
+ ,10.2
+ ,9.5
+ ,9.6
+ ,9.4
+ ,10
+ ,9.4
+ ,9.2
+ ,9.3
+ ,9.5
+ ,9.8
+ ,10.9
+ ,10.9
+ ,9.6
+ ,10.7
+ ,10.7
+ ,10.5
+ ,9.5
+ ,9.5
+ ,9.5
+ ,9.2
+ ,9.6
+ ,10.5
+ ,10.5
+ ,10.7
+ ,10.1
+ ,9.1
+ ,9.2
+ ,9.4
+ ,9.1
+ ,9.4
+ ,10.3
+ ,10.1
+ ,9.9
+ ,9.6
+ ,9.5
+ ,9
+ ,9.5
+ ,9.9
+ ,9.8
+ ,9.6
+ ,10.5
+ ,12.9
+ ,10.7
+ ,9.2
+ ,9.8
+ ,9
+ ,10.2
+ ,10.4
+ ,9
+ ,9.2
+ ,9.4
+ ,9.2
+ ,9.3
+ ,9.3
+ ,9.6
+ ,9.3
+ ,9.5
+ ,9.8
+ ,9.8
+ ,9.7
+ ,9.5
+ ,10.5
+ ,10
+ ,9.4
+ ,10.9
+ ,9.2
+ ,9
+ ,10.9
+ ,9.2
+ ,9.5
+ ,9.5
+ ,9.4
+ ,10.9
+ ,10.9
+ ,10.5
+ ,9.4
+ ,9.4
+ ,13
+ ,13
+ ,9.8
+ ,9.9
+ ,9.6
+ ,9.5
+ ,9.2
+ ,9.5
+ ,9.5
+ ,9.6
+ ,9.5
+ ,14
+ ,9.4
+ ,14
+ ,9.4
+ ,10
+ ,9.3
+ ,10.2
+ ,10.5
+ ,10.3
+ ,9.4
+ ,10.1
+ ,10.1
+ ,10.5
+ ,10.5
+ ,10.5
+ ,10.5
+ ,9.3
+ ,9.3
+ ,9.6
+ ,9.2
+ ,10
+ ,9.4
+ ,9.4
+ ,9.5
+ ,10.2
+ ,9
+ ,10.4
+ ,9.5
+ ,9.1
+ ,9.2
+ ,9.2
+ ,11.5
+ ,9.5
+ ,9.5
+ ,9.5
+ ,10.5
+ ,9.6
+ ,9.5
+ ,9.5
+ ,9.3
+ ,9.3
+ ,9.3
+ ,9.3
+ ,9.7
+ ,9.2
+ ,9.7
+ ,9.5
+ ,9.5
+ ,9.4
+ ,9.8
+ ,9.5
+ ,9.7
+ ,9.7
+ ,9.4
+ ,10.2
+ ,10.1
+ ,13
+ ,11.4
+ ,10.3
+ ,9.3
+ ,9.5
+ ,9.2
+ ,9.2
+ ,10.8
+ ,10.8
+ ,9.3
+ ,9.4
+ ,10.5
+ ,12.4
+ ,10
+ ,10.2
+ ,10.1
+ ,9.8
+ ,10.5
+ ,11
+ ,9.1
+ ,9.7
+ ,9.5
+ ,9.4
+ ,9.4
+ ,9.5
+ ,10
+ ,10.4
+ ,10.5
+ ,9.5
+ ,9.8
+ ,10.5
+ ,11
+ ,12.2
+ ,9.9
+ ,9.6
+ ,11
+ ,9
+ ,9
+ ,9
+ ,9.2
+ ,9
+ ,9
+ ,9.3
+ ,10.9
+ ,9.8
+ ,9.2
+ ,9.2
+ ,9.9
+ ,9.5
+ ,9.3)
> 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] 9.854435
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.05276028
> (armose <- arm / armse)
[1] 186.7775
> (geo <- geomean(x))
[1] 9.823262
> (har <- harmean(x))
[1] 9.795227
> (qua <- quamean(x))
[1] 9.88926
> (win <- winmean(x))
          [,1]       [,2]
 [1,] 9.854435 0.05276028
 [2,] 9.847177 0.05065814
 [3,] 9.845968 0.05034749
 [4,] 9.845968 0.05034749
 [5,] 9.845968 0.05034749
 [6,] 9.843548 0.04973970
 [7,] 9.829435 0.04639532
 [8,] 9.822984 0.04498106
 [9,] 9.797581 0.04004669
[10,] 9.793548 0.03936649
[11,] 9.780242 0.03633523
[12,] 9.780242 0.03633523
[13,] 9.780242 0.03633523
[14,] 9.774597 0.03559004
[15,] 9.774597 0.03559004
[16,] 9.781048 0.03512625
[17,] 9.781048 0.03512625
[18,] 9.781048 0.03512625
[19,] 9.781048 0.03512625
[20,] 9.781048 0.03512625
[21,] 9.772581 0.03406275
[22,] 9.772581 0.03406275
[23,] 9.772581 0.03406275
[24,] 9.762903 0.03291354
[25,] 9.762903 0.03291354
[26,] 9.762903 0.03291354
[27,] 9.762903 0.03291354
[28,] 9.751613 0.03164944
[29,] 9.739919 0.03042267
[30,] 9.739919 0.03042267
[31,] 9.739919 0.03042267
[32,] 9.739919 0.03042267
[33,] 9.739919 0.03042267
[34,] 9.739919 0.03042267
[35,] 9.739919 0.03042267
[36,] 9.739919 0.03042267
[37,] 9.739919 0.03042267
[38,] 9.739919 0.03042267
[39,] 9.739919 0.03042267
[40,] 9.739919 0.03042267
[41,] 9.739919 0.03042267
[42,] 9.739919 0.03042267
[43,] 9.757258 0.02924961
[44,] 9.757258 0.02924961
[45,] 9.757258 0.02924961
[46,] 9.757258 0.02924961
[47,] 9.757258 0.02924961
[48,] 9.757258 0.02924961
[49,] 9.757258 0.02924961
[50,] 9.757258 0.02924961
[51,] 9.736694 0.02717492
[52,] 9.736694 0.02717492
[53,] 9.736694 0.02717492
[54,] 9.714919 0.02506841
[55,] 9.714919 0.02506841
[56,] 9.714919 0.02506841
[57,] 9.714919 0.02506841
[58,] 9.691532 0.02291032
[59,] 9.691532 0.02291032
[60,] 9.691532 0.02291032
[61,] 9.716129 0.02131695
[62,] 9.716129 0.02131695
[63,] 9.716129 0.02131695
[64,] 9.690323 0.01900144
[65,] 9.690323 0.01900144
[66,] 9.690323 0.01900144
[67,] 9.690323 0.01900144
[68,] 9.690323 0.01900144
[69,] 9.690323 0.01900144
[70,] 9.690323 0.01900144
[71,] 9.661694 0.01656376
[72,] 9.661694 0.01656376
[73,] 9.661694 0.01656376
[74,] 9.661694 0.01656376
[75,] 9.661694 0.01656376
[76,] 9.661694 0.01656376
[77,] 9.661694 0.01656376
[78,] 9.630242 0.01403320
[79,] 9.630242 0.01403320
[80,] 9.630242 0.01403320
[81,] 9.630242 0.01403320
[82,] 9.630242 0.01403320
> (tri <- trimean(x))
          [,1]       [,2]
 [1,] 9.841057 0.05031102
 [2,] 9.827459 0.04762915
 [3,] 9.817355 0.04593990
 [4,] 9.807500 0.04424055
 [5,] 9.797479 0.04239875
 [6,] 9.787288 0.04039158
 [7,] 9.777350 0.03834121
 [8,] 9.769397 0.03681934
 [9,] 9.762174 0.03543671
[10,] 9.757895 0.03476034
[11,] 9.753982 0.03413819
[12,] 9.751339 0.03386285
[13,] 9.748649 0.03357134
[14,] 9.745909 0.03326258
[15,] 9.743578 0.03301274
[16,] 9.741204 0.03274786
[17,] 9.738318 0.03250668
[18,] 9.735377 0.03225021
[19,] 9.732381 0.03197737
[20,] 9.729327 0.03168702
[21,] 9.726214 0.03137788
[22,] 9.723529 0.03113607
[23,] 9.720792 0.03087826
[24,] 9.718000 0.03060331
[25,] 9.715657 0.03039733
[26,] 9.713265 0.03017718
[27,] 9.710825 0.02994184
[28,] 9.708333 0.02969020
[29,] 9.706316 0.02951026
[30,] 9.704787 0.02939915
[31,] 9.703226 0.02927888
[32,] 9.701630 0.02914881
[33,] 9.700000 0.02900826
[34,] 9.698333 0.02885649
[35,] 9.696629 0.02869270
[36,] 9.694886 0.02851600
[37,] 9.693103 0.02832542
[38,] 9.691279 0.02811990
[39,] 9.689412 0.02789827
[40,] 9.687500 0.02765922
[41,] 9.685542 0.02740132
[42,] 9.683537 0.02712297
[43,] 9.681481 0.02682239
[44,] 9.678750 0.02656112
[45,] 9.675949 0.02627742
[46,] 9.673077 0.02596916
[47,] 9.670130 0.02563397
[48,] 9.667105 0.02526914
[49,] 9.664000 0.02487157
[50,] 9.660811 0.02443769
[51,] 9.657534 0.02396336
[52,] 9.654861 0.02360790
[53,] 9.652113 0.02321907
[54,] 9.649286 0.02279306
[55,] 9.647101 0.02249139
[56,] 9.644853 0.02216053
[57,] 9.642537 0.02179718
[58,] 9.640152 0.02139750
[59,] 9.638462 0.02113039
[60,] 9.636719 0.02083609
[61,] 9.634921 0.02051147
[62,] 9.632258 0.02024465
[63,] 9.629508 0.01994738
[64,] 9.626667 0.01961582
[65,] 9.624576 0.01944234
[66,] 9.622414 0.01924692
[67,] 9.620175 0.01902694
[68,] 9.617857 0.01877928
[69,] 9.615455 0.01850034
[70,] 9.612963 0.01818583
[71,] 9.610377 0.01783065
[72,] 9.608654 0.01766370
[73,] 9.606863 0.01747282
[74,] 9.605000 0.01725478
[75,] 9.603061 0.01700572
[76,] 9.601042 0.01672106
[77,] 9.598936 0.01639527
[78,] 9.596739 0.01602160
[79,] 9.595556 0.01587334
[80,] 9.594318 0.01570013
[81,] 9.593023 0.01549817
[82,] 9.591667 0.01526288
> (midr <- midrange(x))
[1] 11.5
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 9.648062 9.648062 9.648062 9.648062 9.648062 9.648062 9.648062 9.648062
> postscript(file="/var/wessaorg/rcomp/tmp/1nqhs1324133145.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/wessaorg/rcomp/tmp/281jy1324133145.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/3lofy1324133145.tab") 
> 
> try(system("convert tmp/1nqhs1324133145.ps tmp/1nqhs1324133145.png",intern=TRUE))
character(0)
> try(system("convert tmp/281jy1324133145.ps tmp/281jy1324133145.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.354   0.134   1.500