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(277
+ ,260.6
+ ,291.6
+ ,275.4
+ ,275.3
+ ,231.7
+ ,238.8
+ ,274.2
+ ,277.8
+ ,299.1
+ ,286.6
+ ,232.3
+ ,294.1
+ ,267.5
+ ,309.7
+ ,280.7
+ ,287.3
+ ,235.7
+ ,256.4
+ ,289
+ ,290.8
+ ,321.9
+ ,291.8
+ ,241.4
+ ,295.5
+ ,258.2
+ ,306.1
+ ,281.5
+ ,283.1
+ ,237.4
+ ,274.8
+ ,299.3
+ ,300.4
+ ,340.9
+ ,318.8
+ ,265.7
+ ,322.7
+ ,281.6
+ ,323.5
+ ,312.6
+ ,310.8
+ ,262.8
+ ,273.8
+ ,320
+ ,310.3
+ ,342.2
+ ,320.1
+ ,265.6
+ ,327
+ ,300.7
+ ,346.4
+ ,317.3
+ ,326.2
+ ,270.7
+ ,278.2
+ ,324.6
+ ,321.8
+ ,343.5
+ ,354
+ ,278.2
+ ,330.2
+ ,307.3
+ ,375.9
+ ,335.3
+ ,339.3
+ ,280.3
+ ,293.7
+ ,341.2
+ ,345.1
+ ,368.7
+ ,369.4
+ ,288.4
+ ,341
+ ,319.1
+ ,374.2
+ ,344.5
+ ,337.3
+ ,281
+ ,282.2
+ ,321
+ ,325.4
+ ,366.3
+ ,380.3
+ ,300.7
+ ,359.3
+ ,327.6
+ ,383.6
+ ,352.4
+ ,329.4
+ ,294.5
+ ,333.5
+ ,334.3
+ ,358
+ ,396.1
+ ,387
+ ,307.2
+ ,363.9
+ ,344.7
+ ,397.6
+ ,376.8
+ ,337.1
+ ,299.3
+ ,323.1
+ ,329.1
+ ,347
+ ,462
+ ,436.5
+ ,360.4
+ ,415.5
+ ,382.1
+ ,432.2
+ ,424.3
+ ,386.7
+ ,354.5
+ ,375.8
+ ,368
+ ,402.4
+ ,426.5
+ ,433.3
+ ,338.5
+ ,416.8
+ ,381.1
+ ,445.7
+ ,412.4
+ ,394
+ ,348.2
+ ,380.1
+ ,373.7
+ ,393.6
+ ,434.2
+ ,430.7
+ ,344.5
+ ,411.9
+ ,370.5
+ ,437.3
+ ,411.3
+ ,385.5
+ ,341.3
+ ,384.2
+ ,373.2
+ ,415.8
+ ,448.6
+ ,454.3
+ ,350.3
+ ,419.1
+ ,398
+ ,456.1
+ ,430.1
+ ,399.8
+ ,362.7
+ ,384.9
+ ,385.3
+ ,432.3
+ ,468.9
+ ,442.7
+ ,370.2
+ ,439.4
+ ,393.9
+ ,468.7
+ ,438.8
+ ,430.1
+ ,366.3
+ ,391
+ ,380.9
+ ,431.4
+ ,465.4
+ ,471.5
+ ,387.5
+ ,446.4
+ ,421.5
+ ,504.8
+ ,492.1
+ ,421.3
+ ,396.7
+ ,428
+ ,421.9
+ ,465.6
+ ,525.8
+ ,499.9
+ ,435.3
+ ,479.5
+ ,473
+ ,554.4
+ ,489.6
+ ,462.2
+ ,420.3)
> 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] 358.0833
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 4.924848
> (armose <- arm / armse)
[1] 72.70952
> (geo <- geomean(x))
[1] 351.8634
> (har <- harmean(x))
[1] 345.7112
> (qua <- quamean(x))
[1] 364.2948
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 357.9328 4.893571
 [2,] 357.7435 4.849093
 [3,] 357.6919 4.832620
 [4,] 357.5543 4.802539
 [5,] 357.5570 4.783177
 [6,] 357.7151 4.675785
 [7,] 357.5382 4.634197
 [8,] 357.5769 4.613702
 [9,] 357.5575 4.585055
[10,] 357.6973 4.567030
[11,] 357.5199 4.542551
[12,] 357.6231 4.528301
[13,] 357.6231 4.476018
[14,] 357.8414 4.449958
[15,] 357.3978 4.387621
[16,] 357.2946 4.363622
[17,] 356.8194 4.297563
[18,] 356.6161 4.272188
[19,] 356.7081 4.247389
[20,] 356.4715 4.202517
[21,] 356.1441 4.157112
[22,] 356.0731 4.149447
[23,] 356.1473 4.103392
[24,] 356.0957 4.087235
[25,] 355.9747 4.066135
[26,] 355.8909 4.043019
[27,] 355.7747 4.027940
[28,] 355.7145 4.003347
[29,] 355.8392 3.987852
[30,] 356.2747 3.919533
[31,] 356.2747 3.896280
[32,] 356.3608 3.867589
[33,] 356.4672 3.857501
[34,] 356.4124 3.787123
[35,] 356.2806 3.744318
[36,] 355.8935 3.697824
[37,] 355.7941 3.615103
[38,] 355.7941 3.599454
[39,] 355.8360 3.587556
[40,] 355.8360 3.546559
[41,] 356.3651 3.448444
[42,] 355.8909 3.393651
[43,] 355.6597 3.371290
[44,] 355.8489 3.341015
[45,] 355.1715 3.262732
[46,] 355.0478 3.251025
[47,] 356.2608 3.115547
[48,] 354.2478 2.876865
[49,] 353.5892 2.813129
[50,] 353.7505 2.713309
[51,] 353.8054 2.689235
[52,] 353.6935 2.654929
[53,] 354.0355 2.595425
[54,] 354.7903 2.426160
[55,] 355.2043 2.386762
[56,] 355.2043 2.371411
[57,] 354.6833 2.279535
[58,] 353.6231 2.184189
[59,] 353.7500 2.147292
[60,] 353.9113 2.117980
[61,] 353.5505 2.082503
[62,] 353.7505 2.055130
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 357.7033 4.813105
 [2,] 357.4687 4.726933
 [3,] 357.3267 4.659461
 [4,] 357.1994 4.593562
 [5,] 357.1057 4.531936
 [6,] 357.0092 4.470650
 [7,] 356.8820 4.427326
 [8,] 356.7794 4.388415
 [9,] 356.6690 4.349937
[10,] 356.5584 4.312819
[11,] 356.4293 4.275303
[12,] 356.3154 4.238052
[13,] 356.3154 4.199575
[14,] 356.0589 4.164062
[15,] 355.9071 4.128458
[16,] 355.7870 4.096550
[17,] 355.6717 4.064363
[18,] 355.5880 4.035907
[19,] 355.5162 4.007320
[20,] 355.4363 3.978404
[21,] 355.3694 3.950877
[22,] 355.3211 3.924754
[23,] 355.2757 3.896767
[24,] 355.2246 3.869953
[25,] 355.1750 3.841824
[26,] 355.1750 3.812638
[27,] 355.0894 3.782413
[28,] 355.0531 3.750355
[29,] 355.0188 3.717030
[30,] 354.9770 3.681516
[31,] 354.9121 3.647820
[32,] 354.8451 3.612406
[33,] 354.7717 3.575491
[34,] 354.6907 3.535344
[35,] 354.6095 3.496619
[36,] 354.5316 3.457106
[37,] 354.4688 3.417027
[38,] 354.4082 3.379237
[39,] 354.3454 3.338235
[40,] 354.2783 3.293286
[41,] 354.2087 3.246455
[42,] 354.1127 3.202388
[43,] 354.0340 3.157727
[44,] 353.9622 3.109339
[45,] 353.8792 3.057336
[46,] 353.8223 3.006026
[47,] 353.7685 2.948822
[48,] 353.6589 2.896808
[49,] 353.6330 2.861340
[50,] 353.6349 2.826578
[51,] 353.6349 2.796016
[52,] 353.6298 2.762674
[53,] 353.6187 2.727171
[54,] 353.6000 2.691779
[55,] 353.5461 2.667789
[56,] 353.4703 2.642856
[57,] 353.3903 2.614331
[58,] 353.3300 2.590373
[59,] 353.3162 2.571951
[60,] 353.2955 2.552875
[61,] 353.2656 2.532075
[62,] 353.2516 2.510049
> (midr <- midrange(x))
[1] 393.05
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 352.6394 353.2632 353.2632 353.2632 353.7685 353.2632 353.2632 353.2632
> postscript(file="/var/www/html/rcomp/tmp/1ixbd1264413385.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/22pfo1264413385.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/3qms11264413385.tab") 
> 
> try(system("convert tmp/1ixbd1264413385.ps tmp/1ixbd1264413385.png",intern=TRUE))
character(0)
> try(system("convert tmp/22pfo1264413385.ps tmp/22pfo1264413385.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.988   0.342   1.134