R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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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(-0.172
+ ,-0.167
+ ,-0.161
+ ,-0.156
+ ,-0.151
+ ,-0.146
+ ,-0.142
+ ,-0.138
+ ,-0.135
+ ,-0.132
+ ,-0.129
+ ,-0.127
+ ,-0.124
+ ,-0.122
+ ,-0.120
+ ,-0.119
+ ,-0.117
+ ,-0.115
+ ,-0.114
+ ,-0.112
+ ,-0.111
+ ,-0.109
+ ,-0.108
+ ,-0.106
+ ,-0.104
+ ,-0.103
+ ,-0.101
+ ,-0.100
+ ,-0.098
+ ,-0.097
+ ,-0.095
+ ,-0.094
+ ,-0.092
+ ,-0.091
+ ,-0.089
+ ,-0.088
+ ,-0.086
+ ,-0.085
+ ,-0.083
+ ,-0.082
+ ,-0.080
+ ,-0.079
+ ,-0.077
+ ,-0.076
+ ,-0.074
+ ,-0.073
+ ,-0.071
+ ,-0.070
+ ,-0.069
+ ,-0.067
+ ,-0.066
+ ,-0.064
+ ,-0.063
+ ,-0.062
+ ,-0.060
+ ,-0.059
+ ,-0.058
+ ,-0.056
+ ,-0.055
+ ,-0.054
+ ,-0.053
+ ,-0.051
+ ,-0.050
+ ,-0.049
+ ,-0.048
+ ,-0.047
+ ,-0.046
+ ,-0.045
+ ,-0.044
+ ,-0.043
+ ,-0.042
+ ,-0.041
+ ,-0.040
+ ,-0.039
+ ,-0.037
+ ,-0.036
+ ,-0.035
+ ,-0.034
+ ,-0.033
+ ,-0.032
+ ,-0.031
+ ,-0.029
+ ,-0.028
+ ,-0.027
+ ,-0.026
+ ,-0.024
+ ,-0.023
+ ,-0.022
+ ,-0.020
+ ,-0.019
+ ,-0.018
+ ,-0.016
+ ,-0.015
+ ,-0.013
+ ,-0.012
+ ,-0.011
+ ,-0.009
+ ,-0.008
+ ,-0.006
+ ,-0.005
+ ,-0.003
+ ,-0.002
+ ,0.000
+ ,0.001
+ ,0.003
+ ,0.004
+ ,0.006
+ ,0.008
+ ,0.009
+ ,0.011
+ ,0.012
+ ,0.014
+ ,0.015
+ ,0.017
+ ,0.019
+ ,0.020
+ ,0.022
+ ,0.023
+ ,0.025
+ ,0.026
+ ,0.028
+ ,0.030
+ ,0.031
+ ,0.033
+ ,0.034
+ ,0.036
+ ,0.037
+ ,0.038
+ ,0.040
+ ,0.041
+ ,0.043
+ ,0.044
+ ,0.045
+ ,0.046
+ ,0.047
+ ,0.049
+ ,0.050
+ ,0.051
+ ,0.052
+ ,0.053
+ ,0.054
+ ,0.055
+ ,0.056
+ ,0.056
+ ,0.057
+ ,0.058
+ ,0.059
+ ,0.060
+ ,0.061
+ ,0.062
+ ,0.063
+ ,0.065
+ ,0.066
+ ,0.067
+ ,0.069
+ ,0.070
+ ,0.072
+ ,0.074
+ ,0.076
+ ,0.078
+ ,0.080
+ ,0.083
+ ,0.085
+ ,0.088
+ ,0.090
+ ,0.093
+ ,0.096
+ ,0.099
+ ,0.102
+ ,0.104
+ ,0.107
+ ,0.110
+ ,0.113
+ ,0.115
+ ,0.118
+ ,0.120
+ ,0.123
+ ,0.125
+ ,0.128
+ ,0.131
+ ,0.133
+ ,0.136
+ ,0.139
+ ,0.142
+ ,0.145
+ ,0.148
+ ,0.151
+ ,0.155
+ ,0.158
+ ,0.162
+ ,0.166
+ ,0.170
+ ,0.175
+ ,0.180
+ ,0.186
+ ,0.192
+ ,0.197)
> 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] 0.0001015228
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.006206936
> (armose <- arm / armse)
[1] 0.01635635
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 0
> (qua <- quamean(x))
[1] 0.08689716
> (win <- winmean(x))
               [,1]        [,2]
 [1,]  1.015228e-04 0.006199337
 [2,]  1.015228e-04 0.006181615
 [3,]  8.629442e-05 0.006157809
 [4,]  8.629442e-05 0.006129903
 [5,]  8.629442e-05 0.006095904
 [6,]  8.629442e-05 0.006064007
 [7,]  8.629442e-05 0.006027544
 [8,]  4.568528e-05 0.005991362
 [9,]  4.568528e-05 0.005957420
[10,] -5.076142e-06 0.005913634
[11,] -6.091371e-05 0.005879596
[12,] -6.091371e-05 0.005836304
[13,] -1.269036e-04 0.005797142
[14,] -1.979695e-04 0.005755483
[15,] -3.502538e-04 0.005719425
[16,] -4.314721e-04 0.005672875
[17,] -4.314721e-04 0.005634248
[18,] -6.142132e-04 0.005592388
[19,] -7.106599e-04 0.005538795
[20,] -8.121827e-04 0.005505001
[21,] -9.187817e-04 0.005446862
[22,] -1.030457e-03 0.005410392
[23,] -1.147208e-03 0.005347871
[24,] -1.147208e-03 0.005296719
[25,] -1.401015e-03 0.005242590
[26,] -1.532995e-03 0.005173943
[27,] -1.807107e-03 0.005116818
[28,] -1.807107e-03 0.005059239
[29,] -2.101523e-03 0.004999067
[30,] -2.253807e-03 0.004922846
[31,] -2.568528e-03 0.004860012
[32,] -2.730964e-03 0.004780380
[33,] -2.898477e-03 0.004731444
[34,] -3.071066e-03 0.004648365
[35,] -3.248731e-03 0.004597451
[36,] -3.431472e-03 0.004511092
[37,] -3.619289e-03 0.004458310
[38,] -3.619289e-03 0.004386654
[39,] -3.817259e-03 0.004331922
[40,] -3.817259e-03 0.004257629
[41,] -4.025381e-03 0.004201033
[42,] -3.812183e-03 0.004143264
[43,] -4.030457e-03 0.004084679
[44,] -3.807107e-03 0.004024936
[45,] -3.807107e-03 0.003984485
[46,] -3.807107e-03 0.003902311
[47,] -3.807107e-03 0.003860602
[48,] -3.807107e-03 0.003818186
[49,] -3.558376e-03 0.003753553
[50,] -3.558376e-03 0.003709829
[51,] -3.299492e-03 0.003643342
[52,] -3.299492e-03 0.003598337
[53,] -3.299492e-03 0.003552653
[54,] -2.751269e-03 0.003506712
[55,] -2.751269e-03 0.003459683
[56,] -2.751269e-03 0.003411984
[57,] -2.461929e-03 0.003339880
[58,] -2.461929e-03 0.003290948
[59,] -2.461929e-03 0.003241357
[60,] -2.461929e-03 0.003191110
[61,] -2.152284e-03 0.003115360
[62,] -2.467005e-03 0.003037692
[63,] -2.467005e-03 0.002985683
[64,] -2.467005e-03 0.002933034
[65,] -2.467005e-03 0.002879747
> (tri <- trimean(x))
               [,1]        [,2]
 [1,]  1.015228e-04 0.006124915
 [2,] -2.564103e-05 0.006045710
 [3,] -2.879581e-04 0.005971114
 [4,] -2.879581e-04 0.005900642
 [5,] -5.508021e-04 0.005833664
 [6,] -6.864865e-04 0.005770386
 [7,] -8.251366e-04 0.005709401
 [8,] -8.251366e-04 0.005650860
 [9,] -1.106145e-03 0.005594170
[10,] -1.248588e-03 0.005538558
[11,] -1.388571e-03 0.005485025
[12,] -1.526012e-03 0.005432019
[13,] -1.666667e-03 0.005380378
[14,] -1.804734e-03 0.005329415
[15,] -1.940120e-03 0.005279195
[16,] -1.940120e-03 0.005228964
[17,] -2.190184e-03 0.005179579
[18,] -2.316770e-03 0.005130112
[19,] -2.433962e-03 0.005080731
[20,] -2.547771e-03 0.005032350
[21,] -2.658065e-03 0.004983100
[22,] -2.764706e-03 0.004934938
[23,] -2.867550e-03 0.004885928
[24,] -2.966443e-03 0.004838105
[25,] -3.068027e-03 0.004790453
[26,] -3.158621e-03 0.004743151
[27,] -3.244755e-03 0.004697269
[28,] -3.319149e-03 0.004651887
[29,] -3.395683e-03 0.004606943
[30,] -3.459854e-03 0.004562610
[31,] -3.518519e-03 0.004520072
[32,] -3.518519e-03 0.004478339
[33,] -3.603053e-03 0.004438656
[34,] -3.635659e-03 0.004398744
[35,] -3.661417e-03 0.004361109
[36,] -3.680000e-03 0.004323404
[37,] -3.691057e-03 0.004288231
[38,] -3.694215e-03 0.004253176
[39,] -3.697479e-03 0.004219608
[40,] -3.692308e-03 0.004186301
[41,] -3.686957e-03 0.004154700
[42,] -3.672566e-03 0.004123536
[43,] -3.666667e-03 0.004092888
[44,] -3.651376e-03 0.004062801
[45,] -3.644860e-03 0.004033370
[46,] -3.638095e-03 0.004003092
[47,] -3.631068e-03 0.003975127
[48,] -3.623762e-03 0.003946420
[49,] -3.616162e-03 0.003916904
[50,] -3.618557e-03 0.003888271
[51,] -3.621053e-03 0.003858824
[52,] -3.634409e-03 0.003830343
[53,] -3.634409e-03 0.003801046
[54,] -3.662921e-03 0.003770854
[55,] -3.701149e-03 0.003739589
[56,] -3.741176e-03 0.003707217
[57,] -3.741176e-03 0.003673617
[58,] -3.839506e-03 0.003640880
[59,] -3.898734e-03 0.003606838
[60,] -3.961039e-03 0.003571333
[61,] -4.026667e-03 0.003534182
[62,] -4.109589e-03 0.003497747
[63,] -4.183099e-03 0.003462493
[64,] -4.183099e-03 0.003425535
[65,] -4.343284e-03 0.003386631
> (midr <- midrange(x))
[1] 0.0125
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -0.004265306 -0.003616162 -0.003616162 -0.003616162 -0.003616162
[6] -0.004270000 -0.003616162 -0.003616162
> postscript(file="/var/www/html/rcomp/tmp/1uuax1224869336.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/2o5u61224869336.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/30dow1224869336.tab") 
> 
> system("convert tmp/1uuax1224869336.ps tmp/1uuax1224869336.png")
> system("convert tmp/2o5u61224869336.ps tmp/2o5u61224869336.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.391   0.362   1.628