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)

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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(31.82
+ ,32.23
+ ,30.51
+ ,30.68
+ ,31.32
+ ,30.77
+ ,30.88
+ ,31.92
+ ,29.68
+ ,28.56
+ ,32.85
+ ,36.35
+ ,35.13
+ ,30.05
+ ,30.80
+ ,32.00
+ ,31.78
+ ,29.92
+ ,31.77
+ ,29.93
+ ,31.05
+ ,32.25
+ ,33.34
+ ,35.35
+ ,33.45
+ ,32.48
+ ,31.55
+ ,32.02
+ ,29.49
+ ,27.18
+ ,28.66
+ ,30.05
+ ,31.14
+ ,29.66
+ ,30.05
+ ,26.32
+ ,25.32
+ ,23.06
+ ,24.45
+ ,24.91
+ ,26.65
+ ,28.20
+ ,30.50
+ ,26.90
+ ,28.00
+ ,26.12
+ ,29.80
+ ,32.23
+ ,31.64
+ ,29.66
+ ,31.30
+ ,33.42
+ ,35.65
+ ,35.87
+ ,34.73
+ ,34.40
+ ,33.56
+ ,34.36
+ ,33.45
+ ,32.98
+ ,32.72
+ ,32.75
+ ,34.21
+ ,36.69
+ ,37.50
+ ,37.52
+ ,37.23
+ ,35.72
+ ,35.61
+ ,39.34
+ ,39.31
+ ,40.62
+ ,40.62
+ ,41.80
+ ,42.60
+ ,43.67
+ ,45.47
+ ,46.40
+ ,45.84
+ ,46.59
+ ,46.70
+ ,48.81
+ ,48.92
+ ,46.95
+ ,44.90
+ ,43.63
+ ,45.28
+ ,46.05
+ ,46.51
+ ,46.95
+ ,46.45
+ ,49.82
+ ,51.82
+ ,52.50
+ ,53.25
+ ,53.95
+ ,54.54
+ ,53.23
+ ,52.00
+ ,51.13
+ ,50.16
+ ,50.19
+ ,51.28
+ ,53.34
+ ,53.08
+ ,51.75
+ ,52.20
+ ,51.11
+ ,51.30
+ ,52.61
+ ,51.41
+ ,51.61
+ ,52.35
+ ,52.21
+ ,52.64
+ ,52.50
+ ,53.55
+ ,52.41
+ ,53.80
+ ,54.22
+ ,53.21
+ ,53.50
+ ,52.30
+ ,52.47
+ ,51.32
+ ,51.37
+ ,52.32
+ ,52.24
+ ,53.40
+ ,52.83
+ ,53.08
+ ,53.62
+ ,54.14
+ ,54.62
+ ,54.13
+ ,52.94
+ ,54.43
+ ,53.98
+ ,54.05
+ ,53.45
+ ,53.39
+ ,53.43
+ ,53.03
+ ,52.16
+ ,51.72
+ ,51.42
+ ,50.54
+ ,50.13
+ ,50.63
+ ,52.10
+ ,52.64
+ ,53.47
+ ,53.39
+ ,54.11
+ ,54.70
+ ,54.34
+ ,53.39
+ ,52.47
+ ,52.74
+ ,53.44
+ ,51.61
+ ,53.30
+ ,53.10
+ ,53.26
+ ,53.09
+ ,53.39
+ ,52.56
+ ,52.57
+ ,53.18
+ ,52.00
+ ,51.75
+ ,50.34
+ ,51.96
+ ,53.07
+ ,53.14
+ ,52.60
+ ,52.70
+ ,53.20
+ ,52.23
+ ,53.21
+ ,54.17
+ ,54.33
+ ,55.12
+ ,56.58
+ ,55.91
+ ,54.65
+ ,55.03
+ ,55.56
+ ,57.15
+ ,58.24
+ ,58.77
+ ,58.97
+ ,57.29
+ ,56.04
+ ,56.72
+ ,56.46
+ ,57.10
+ ,56.81
+ ,56.32
+ ,55.81
+ ,56.03
+ ,56.90
+ ,56.59
+ ,54.60
+ ,55.08
+ ,55.48
+ ,54.42
+ ,54.55
+ ,55.17
+ ,55.10
+ ,53.89
+ ,53.02
+ ,53.24
+ ,52.32
+ ,52.57
+ ,51.69
+ ,50.26
+ ,47.94
+ ,47.32
+ ,48.72
+ ,49.84
+ ,50.15
+ ,50.00
+ ,49.34)
> ylimmax = ''
> ylimmin = ''
> main = 'Robustness of Central Tendency'
> 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] 45.66795
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.678138
> (armose <- arm / armse)
[1] 67.34314
> (geo <- geomean(x))
[1] 44.37953
> (har <- harmean(x))
[1] 42.94427
> (qua <- quamean(x))
[1] 46.77727
> (win <- winmean(x))
          [,1]      [,2]
 [1,] 45.67326 0.6771601
 [2,] 45.67263 0.6761863
 [3,] 45.66540 0.6744149
 [4,] 45.67719 0.6723245
 [5,] 45.68054 0.6716596
 [6,] 45.68402 0.6701201
 [7,] 45.68902 0.6689202
 [8,] 45.69580 0.6674295
 [9,] 45.72353 0.6630198
[10,] 45.73201 0.6619216
[11,] 45.74379 0.6594075
[12,] 45.74165 0.6582393
[13,] 45.77357 0.6515772
[14,] 45.78357 0.6503471
[15,] 45.77554 0.6497822
[16,] 45.76982 0.6491258
[17,] 45.75996 0.6468133
[18,] 45.76317 0.6453136
[19,] 45.73772 0.6434682
[20,] 45.74397 0.6419978
[21,] 45.74210 0.6418751
[22,] 45.74013 0.6417468
[23,] 45.78121 0.6363912
[24,] 45.74692 0.6340041
[25,] 45.76031 0.6316133
[26,] 45.76728 0.6302771
[27,] 45.76848 0.6297398
[28,] 45.77223 0.6282831
[29,] 45.79295 0.6258698
[30,] 45.79027 0.6236791
[31,] 45.81103 0.6212673
[32,] 45.80246 0.6202603
[33,] 45.83487 0.6166354
[34,] 45.83183 0.6141911
[35,] 45.84433 0.6116130
[36,] 45.84112 0.6111532
[37,] 45.84607 0.6103714
[38,] 45.85964 0.6084194
[39,] 45.86313 0.6063560
[40,] 45.85420 0.6052352
[41,] 45.88714 0.6009763
[42,] 45.87589 0.6003011
[43,] 45.86246 0.5988792
[44,] 45.87228 0.5921979
[45,] 45.90643 0.5864991
[46,] 45.90232 0.5852793
[47,] 45.91701 0.5828012
[48,] 45.94058 0.5797554
[49,] 46.01714 0.5717659
[50,] 46.03277 0.5698620
[51,] 46.03277 0.5687871
[52,] 46.03045 0.5686523
[53,] 46.05647 0.5660730
[54,] 46.21317 0.5506572
[55,] 46.25000 0.5470624
[56,] 46.24750 0.5453577
[57,] 46.32129 0.5366065
[58,] 46.41451 0.5260038
[59,] 46.46982 0.5202857
[60,] 46.53679 0.5134687
[61,] 46.54496 0.5122702
[62,] 46.55879 0.5100994
[63,] 46.60098 0.5060838
[64,] 46.73527 0.4929168
[65,] 46.82812 0.4832736
[66,] 46.97545 0.4676593
[67,] 47.04424 0.4594169
[68,] 47.04728 0.4586719
[69,] 47.59558 0.4076483
[70,] 47.60496 0.4067940
[71,] 48.00750 0.3699382
[72,] 47.99464 0.3691505
[73,] 48.37594 0.3347738
[74,] 48.61379 0.3099836
> (tri <- trimean(x))
          [,1]      [,2]
 [1,] 45.70986 0.6739296
 [2,] 45.74714 0.6704982
 [3,] 45.78541 0.6673752
 [4,] 45.82690 0.6646941
 [5,] 45.86607 0.6624158
 [6,] 45.90528 0.6601237
 [7,] 45.94462 0.6579619
 [8,] 45.98394 0.6558400
 [9,] 46.02311 0.6537809
[10,] 46.05966 0.6521698
[11,] 46.09599 0.6505553
[12,] 46.13185 0.6490907
[13,] 46.16864 0.6476118
[14,] 46.20337 0.6466777
[15,] 46.23799 0.6457452
[16,] 46.27396 0.6447405
[17,] 46.31111 0.6436641
[18,] 46.34973 0.6426457
[19,] 46.38898 0.6416162
[20,] 46.43071 0.6405853
[21,] 46.47297 0.6395276
[22,] 46.51628 0.6383331
[23,] 46.56067 0.6369918
[24,] 46.60381 0.6358813
[25,] 46.64977 0.6347651
[26,] 46.69610 0.6336557
[27,] 46.74318 0.6324744
[28,] 46.79131 0.6311575
[29,] 46.84042 0.6297544
[30,] 46.88976 0.6283252
[31,] 46.94043 0.6268373
[32,] 46.99144 0.6253077
[33,] 47.04411 0.6236249
[34,] 47.09673 0.6219606
[35,] 47.15084 0.6202168
[36,] 47.20586 0.6183999
[37,] 47.26247 0.6163597
[38,] 47.32041 0.6141008
[39,] 47.37938 0.6116813
[40,] 47.43986 0.6090841
[41,] 47.50239 0.6062221
[42,] 47.56543 0.6032975
[43,] 47.63072 0.6000393
[44,] 47.69846 0.5964584
[45,] 47.76784 0.5928770
[46,] 47.83803 0.5892459
[47,] 47.91054 0.5852275
[48,] 47.98477 0.5808811
[49,] 48.06048 0.5762171
[50,] 48.13581 0.5715910
[51,] 48.21303 0.5665186
[52,] 48.29283 0.5608710
[53,] 48.37542 0.5545078
[54,] 48.45991 0.5475571
[55,] 48.54167 0.5410817
[56,] 48.62500 0.5340747
[57,] 48.71145 0.5262617
[58,] 48.79843 0.5182123
[59,] 48.88528 0.5100749
[60,] 48.97346 0.5013704
[61,] 48.97346 0.4921341
[62,] 49.15510 0.4816829
[63,] 49.25082 0.4699178
[64,] 49.34896 0.4568550
[65,] 49.44628 0.4434120
[66,] 49.54435 0.4290643
[67,] 49.64122 0.4144452
[68,] 49.73989 0.3984701
[69,] 49.84302 0.3797442
[70,] 49.92988 0.3656366
[71,] 50.02061 0.3490736
[72,] 50.10000 0.3354501
[73,] 50.18397 0.3192575
[74,] 50.25697 0.3059138
> (midr <- midrange(x))
[1] 41.015
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 48.49876 48.62500 48.49876 48.62500 48.62500 48.49876 48.62500 48.66598
> postscript(file="/var/www/rcomp/tmp/1no7e1321367323.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/2ejuz1321367323.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/3zs921321367324.tab") 
> 
> try(system("convert tmp/1no7e1321367323.ps tmp/1no7e1321367323.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ejuz1321367323.ps tmp/2ejuz1321367323.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.420   0.070   1.491