R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(71.97
+ ,72.32
+ ,74.07
+ ,77.95
+ ,81.75
+ ,80.81
+ ,74.1
+ ,71.37
+ ,75.21
+ ,76.9
+ ,74.44
+ ,74.76
+ ,76.23
+ ,76.97
+ ,78.4
+ ,78.6
+ ,80.08
+ ,81.12
+ ,80.31
+ ,84.59
+ ,81.34
+ ,80.95
+ ,80.48
+ ,75.26
+ ,76.32
+ ,78.92
+ ,80.47
+ ,83.14
+ ,85.42
+ ,81.53
+ ,87.31
+ ,86.01
+ ,85.1
+ ,79.91
+ ,78.6
+ ,78.6
+ ,79.37
+ ,82.89
+ ,84.43
+ ,85.32
+ ,87.71
+ ,84.68
+ ,80.62
+ ,84.79
+ ,85.49
+ ,81.68
+ ,77.69
+ ,78.31
+ ,79.18
+ ,80.91
+ ,83.91
+ ,86.3
+ ,89.76
+ ,85.11
+ ,83.81
+ ,85.36
+ ,85.89
+ ,82.59
+ ,80.87
+ ,80.27
+ ,81.36
+ ,84.81
+ ,90.3
+ ,95.43
+ ,97.59
+ ,97.8
+ ,99.48
+ ,97.52
+ ,104.39
+ ,97.74
+ ,91.37
+ ,92.42
+ ,96.9
+ ,101.58
+ ,105.46
+ ,110.06
+ ,107.9
+ ,102.87
+ ,96.28
+ ,98.59
+ ,103.22
+ ,98.6
+ ,91.79
+ ,93.83
+ ,95.17
+ ,95.19
+ ,99.44
+ ,109.18
+ ,109.15
+ ,109.72
+ ,108.41
+ ,102.96
+ ,107.64
+ ,97.28
+ ,97.25
+ ,91.84
+ ,94.12
+ ,97.86
+ ,98.83
+ ,102.29
+ ,104.49
+ ,102.11
+ ,102.14
+ ,101.28
+ ,101.21
+ ,94.2
+ ,88.47
+ ,88.08
+ ,88.02
+ ,92.95
+ ,97.05
+ ,101.44
+ ,100.34
+ ,99.98
+ ,94.17
+ ,94.54
+ ,95.12
+ ,98.04
+ ,93.72
+ ,93.83
+ ,93.03
+ ,95.81
+ ,99.1
+ ,100.12
+ ,100.67
+ ,103.87
+ ,102.39
+ ,107.21
+ ,105.71
+ ,99.79
+ ,96.12
+ ,96.17
+ ,97.23
+ ,98.08
+ ,99.84
+ ,99.72
+ ,99.92
+ ,102.7
+ ,102.06
+ ,102.36
+ ,102.43
+ ,100.6
+ ,98.4
+ ,98.61
+ ,103.03
+ ,104.7
+ ,107.45
+ ,109.67
+ ,110.54
+ ,112.05
+ ,113.19
+ ,114.2
+ ,112.56
+ ,107.36
+ ,103.93
+ ,103.83
+ ,104.74
+ ,107.5
+ ,109.53
+ ,109.42
+ ,108.6
+ ,110.72
+ ,105.1
+ ,105.19
+ ,102.55
+ ,101.25
+ ,101.56
+ ,101.62
+ ,101.7
+ ,102.94
+ ,104.37
+ ,106.93
+ ,107.82
+ ,110.83
+ ,106.86
+ ,109.46
+ ,108.8
+ ,108.69
+ ,107.77
+ ,108.64
+ ,108.5
+ ,113.84
+ ,114.59
+ ,116.27
+ ,113.63
+ ,112.29
+ ,110.31
+ ,108.47
+ ,110.67
+ ,109.1
+ ,107.02
+ ,108.12
+ ,106.69
+ ,109.87
+ ,110.82
+ ,114.14
+ ,113.31
+ ,115.16
+ ,111.06
+ ,111.13
+ ,115.96
+ ,117.57
+ ,114.69
+ ,119.42
+ ,118.4
+ ,123.32
+ ,123.39
+ ,127.04
+ ,129.35
+ ,127.12
+ ,122.1
+ ,120.22
+ ,121.53
+ ,119.01
+ ,114.27
+ ,114.46)
> ylimmax = ''
> ylimmin = ''
> main = 'Robustness of Central Tendency'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa, P., (2012), Central Tendency (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_centraltendency.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> 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] 97.83764
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.8958094
> (armose <- arm / armse)
[1] 109.217
> (geo <- geomean(x))
[1] 96.93329
> (har <- harmean(x))
[1] 96.00927
> (qua <- quamean(x))
[1] 98.71543
> (win <- winmean(x))
          [,1]      [,2]
 [1,] 97.83009 0.8938001
 [2,] 97.83259 0.8932540
 [3,] 97.80620 0.8828455
 [4,] 97.80546 0.8826015
 [5,] 97.78509 0.8779054
 [6,] 97.77815 0.8747921
 [7,] 97.75028 0.8677812
 [8,] 97.72250 0.8640427
 [9,] 97.74583 0.8572566
[10,] 97.72176 0.8535502
[11,] 97.70903 0.8454461
[12,] 97.64069 0.8373167
[13,] 97.66537 0.8304835
[14,] 97.63037 0.8233801
[15,] 97.62273 0.8174158
[16,] 97.62199 0.8159663
[17,] 97.62750 0.8132602
[18,] 97.61167 0.8117425
[19,] 97.60551 0.8111557
[20,] 97.62958 0.8074159
[21,] 97.62569 0.8019431
[22,] 97.62366 0.7978747
[23,] 97.64708 0.7886441
[24,] 97.65264 0.7854441
[25,] 97.60171 0.7765371
[26,] 97.57403 0.7731426
[27,] 97.56403 0.7684261
[28,] 97.44606 0.7580552
[29,] 97.45546 0.7553143
[30,] 97.44991 0.7499211
[31,] 97.45708 0.7489141
[32,] 97.44819 0.7470770
[33,] 97.44667 0.7458174
[34,] 97.45296 0.7413862
[35,] 97.45134 0.7346949
[36,] 97.41301 0.7309822
[37,] 97.40958 0.7254028
[38,] 97.40958 0.7206172
[39,] 97.41319 0.7186182
[40,] 97.54282 0.7009547
[41,] 97.58648 0.6942695
[42,] 97.62731 0.6888799
[43,] 97.71292 0.6721415
[44,] 97.72718 0.6696994
[45,] 97.82509 0.6585484
[46,] 97.79528 0.6502689
[47,] 97.79093 0.6465402
[48,] 97.80426 0.6433666
[49,] 97.79972 0.6422295
[50,] 97.84370 0.6341245
[51,] 97.83898 0.6333504
[52,] 97.87509 0.6275073
[53,] 97.81375 0.6210685
[54,] 97.77375 0.6154416
[55,] 97.77120 0.6122210
[56,] 97.86194 0.6015920
[57,] 97.85931 0.5960393
[58,] 97.89958 0.5859874
[59,] 98.16181 0.5597969
[60,] 98.24792 0.5478859
[61,] 98.29310 0.5367985
[62,] 98.25579 0.5310646
[63,] 98.34329 0.5189449
[64,] 98.70477 0.4839777
[65,] 98.81611 0.4660721
[66,] 98.84361 0.4151847
[67,] 98.89634 0.3983714
[68,] 98.82708 0.3905861
[69,] 98.98361 0.3731103
[70,] 99.03870 0.3502727
[71,] 99.05185 0.3471536
[72,] 99.21185 0.3234830
> (tri <- trimean(x))
          [,1]      [,2]
 [1,] 97.81407 0.8834154
 [2,] 97.79774 0.8724219
 [3,] 97.77981 0.8610734
 [4,] 97.77067 0.8529474
 [5,] 97.76155 0.8444072
 [6,] 97.75657 0.8364627
 [7,] 97.75272 0.8286634
 [8,] 97.75310 0.8216259
 [9,] 97.75727 0.8147419
[10,] 97.75867 0.8084013
[11,] 97.76278 0.8021452
[12,] 97.76828 0.7964797
[13,] 97.78037 0.7913672
[14,] 97.79053 0.7866456
[15,] 97.80382 0.7823160
[16,] 97.81799 0.7782526
[17,] 97.83253 0.7740236
[18,] 97.84700 0.7697244
[19,] 97.86287 0.7652335
[20,] 97.87949 0.7604542
[21,] 97.89500 0.7556278
[22,] 97.91110 0.7508756
[23,] 97.92771 0.7460768
[24,] 97.94339 0.7416175
[25,] 97.95916 0.7370422
[26,] 97.97799 0.7327485
[27,] 97.99870 0.7283383
[28,] 98.02044 0.7238937
[29,] 98.04848 0.7197771
[30,] 98.07679 0.7154878
[31,] 98.10610 0.7111877
[32,] 98.13586 0.7065679
[33,] 98.16680 0.7016529
[34,] 98.19865 0.6963772
[35,] 98.23110 0.6909305
[36,] 98.26451 0.6854461
[37,] 98.30049 0.6796921
[38,] 98.33764 0.6737820
[39,] 98.37587 0.6676414
[40,] 98.41507 0.6610495
[41,] 98.45022 0.6551219
[42,] 98.48470 0.6490904
[43,] 98.51862 0.6428473
[44,] 98.55023 0.6371898
[45,] 98.58230 0.6311134
[46,] 98.61161 0.6252340
[47,] 98.64303 0.6193021
[48,] 98.67567 0.6129845
[49,] 98.70890 0.6062043
[50,] 98.74345 0.5987448
[51,] 98.77754 0.5910935
[52,] 98.81304 0.5826187
[53,] 98.84845 0.5736552
[54,] 98.88750 0.5641297
[55,] 98.92953 0.5539065
[56,] 98.97327 0.5427024
[57,] 99.01529 0.5311339
[58,] 99.05910 0.5185948
[59,] 99.10316 0.5054176
[60,] 99.13906 0.4933112
[61,] 99.13906 0.4808254
[62,] 99.20707 0.4677870
[63,] 99.24389 0.4534545
[64,] 99.27898 0.4384479
[65,] 99.30151 0.4255256
[66,] 99.32071 0.4127884
[67,] 99.33976 0.4039704
[68,] 99.35762 0.3956728
[69,] 99.37923 0.3868623
[70,] 99.39553 0.3787547
[71,] 99.41041 0.3720048
[72,] 99.42556 0.3644147
> (midr <- midrange(x))
[1] 100.36
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 98.76339 98.88750 98.76339 98.88750 98.88750 98.76339 98.88750 98.84845
> postscript(file="/var/wessaorg/rcomp/tmp/104tf1392902822.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/27pr21392902822.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/3yunl1392902822.tab") 
> 
> try(system("convert tmp/104tf1392902822.ps tmp/104tf1392902822.png",intern=TRUE))
character(0)
> try(system("convert tmp/27pr21392902822.ps tmp/27pr21392902822.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.672   0.586   3.256