R version 2.8.0 (2008-10-20)
Copyright (C) 2008 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(18.09
+ ,18.13
+ ,18
+ ,17.72
+ ,17.62
+ ,17.13
+ ,17.39
+ ,17.09
+ ,17.14
+ ,17.38
+ ,16.8
+ ,16.51
+ ,16.01
+ ,15.05
+ ,13.56
+ ,15.22
+ ,14.91
+ ,15.13
+ ,15.25
+ ,14.61
+ ,14.87
+ ,15.1
+ ,15.22
+ ,15.46
+ ,14.96
+ ,14
+ ,14.2
+ ,13.9
+ ,13.63
+ ,13.32
+ ,13.8
+ ,14.5
+ ,14.12
+ ,13.88
+ ,14.11
+ ,14.26
+ ,14.71
+ ,14.52
+ ,14.32
+ ,14.69
+ ,15.25
+ ,15.04
+ ,14.82
+ ,14.5
+ ,14.72
+ ,14.6
+ ,14.58
+ ,14
+ ,14.75
+ ,14.41
+ ,15.19
+ ,14.96
+ ,14.83
+ ,14.25
+ ,14.32
+ ,14.93
+ ,14.65
+ ,15.65
+ ,15.65
+ ,15.61
+ ,15.95
+ ,15.83
+ ,15.77
+ ,16.7
+ ,16.69
+ ,16.4
+ ,16.77
+ ,16.78
+ ,16.84
+ ,16.68
+ ,16.67
+ ,16.3
+ ,16.37
+ ,16.6
+ ,16.72
+ ,16.82
+ ,17.5
+ ,17.2
+ ,17.29
+ ,17.2
+ ,17.2
+ ,17.32
+ ,17.16
+ ,17.41
+ ,17.31
+ ,17.3
+ ,17.34
+ ,17.19
+ ,17.05
+ ,17.07
+ ,17.07
+ ,16.81
+ ,16.81
+ ,16.96
+ ,17.05
+ ,17
+ ,16.77
+ ,16.66
+ ,16.2
+ ,16.26
+ ,15.84
+ ,15.85
+ ,15.71
+ ,15.84
+ ,15.73
+ ,15.77
+ ,15.3
+ ,15.41
+ ,15.4
+ ,15.61
+ ,15
+ ,14.12
+ ,14.01
+ ,13.46
+ ,13.85
+ ,13.92
+ ,13.59
+ ,13.67
+ ,13.05
+ ,12.87
+ ,12.28
+ ,11.88
+ ,12.49
+ ,11.9
+ ,10.8
+ ,10.99
+ ,10.15
+ ,10.07
+ ,10.05
+ ,10.31
+ ,9.94
+ ,9.65
+ ,9.74
+ ,9.85
+ ,9.96
+ ,9.63
+ ,9.43
+ ,8.77
+ ,9.53
+ ,9.5
+ ,9.78
+ ,9.9
+ ,9.93
+ ,10.35
+ ,9.79
+ ,9.63
+ ,9.02
+ ,9.25
+ ,9.11
+ ,8.95
+ ,9.3
+ ,9.13
+ ,9.75
+ ,9.65
+ ,9.27
+ ,9.59
+ ,9.58
+ ,9.98
+ ,9.57
+ ,9.6
+ ,9.64
+ ,9.46
+ ,9.19
+ ,9.02
+ ,8.9
+ ,9.12
+ ,8.86
+ ,8.94
+ ,9
+ ,9.23
+ ,9.39
+ ,9.62
+ ,9.9
+ ,9.8
+ ,9.2
+ ,9.87
+ ,9.6
+ ,9.37
+ ,9.21
+ ,9.15
+ ,8.7
+ ,8.2
+ ,8.1
+ ,6.68
+ ,7.7
+ ,8.2
+ ,7.55
+ ,7.53
+ ,7.02
+ ,6.6
+ ,6
+ ,3.95
+ ,4.91
+ ,5.15
+ ,5.7
+ ,1.93
+ ,1.36
+ ,1.1
+ ,0.98
+ ,1
+ ,1.1
+ ,1.06
+ ,1.01
+ ,0.93
+ ,0.89
+ ,0.9
+ ,0.88
+ ,0.85
+ ,0.84
+ ,0.94
+ ,1
+ ,1.1
+ ,1.15
+ ,1.05
+ ,1.06
+ ,0.99
+ ,0.93
+ ,0.84
+ ,0.9
+ ,0.86
+ ,0.78
+ ,0.77
+ ,0.6
+ ,0.57
+ ,0.62
+ ,0.62
+ ,0.58
+ ,0.6
+ ,0.73
+ ,0.75
+ ,0.63
+ ,0.71
+ ,0.68
+ ,0.64
+ ,0.66
+ ,0.69
+ ,0.72
+ ,0.92
+ ,0.85
+ ,0.95
+ ,1
+ ,1.15
+ ,1.07
+ ,1.01
+ ,0.99
+ ,0.95
+ ,0.92
+ ,0.94
+ ,0.96
+ ,1.05
+ ,1.04
+ ,1.1
+ ,1.14
+ ,1.12
+ ,1.19
+ ,1.35
+ ,1.62
+ ,1.43
+ ,1.45
+ ,1.47
+ ,1.35
+ ,1.15
+ ,1.46
+ ,1.3
+ ,1.3
+ ,1.5
+ ,1.52
+ ,1.63
+ ,1.9
+ ,1.65
+ ,1.5
+ ,1.38
+ ,1.39)
> 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] 9.70055
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.3763104
> (armose <- arm / armse)
[1] 25.77805
> (geo <- geomean(x))
[1] 6.127268
> (har <- harmean(x))
[1] 2.805945
> (qua <- quamean(x))
[1] 11.51601
> (win <- winmean(x))
           [,1]      [,2]
 [1,]  9.700440 0.3762951
 [2,]  9.699927 0.3762283
 [3,]  9.696850 0.3759828
 [4,]  9.695678 0.3758425
 [5,]  9.693480 0.3756734
 [6,]  9.691722 0.3755036
 [7,]  9.691465 0.3754421
 [8,]  9.691758 0.3753681
 [9,]  9.691099 0.3752108
[10,]  9.690733 0.3751236
[11,]  9.691136 0.3750225
[12,]  9.691136 0.3749510
[13,]  9.691136 0.3748736
[14,]  9.687546 0.3744414
[15,]  9.688645 0.3743450
[16,]  9.689231 0.3742937
[17,]  9.692344 0.3739217
[18,]  9.690366 0.3737761
[19,]  9.689670 0.3736134
[20,]  9.688938 0.3735597
[21,]  9.686630 0.3732680
[22,]  9.686630 0.3730106
[23,]  9.687473 0.3729375
[24,]  9.686593 0.3727334
[25,]  9.686593 0.3727334
[26,]  9.683736 0.3722235
[27,]  9.679780 0.3719382
[28,]  9.668498 0.3709692
[29,]  9.666374 0.3708183
[30,]  9.666374 0.3706453
[31,]  9.666374 0.3706453
[32,]  9.666374 0.3704608
[33,]  9.663956 0.3702898
[34,]  9.663956 0.3700942
[35,]  9.666520 0.3698726
[36,]  9.661245 0.3692943
[37,]  9.658535 0.3691040
[38,]  9.658535 0.3688863
[39,]  9.657106 0.3687862
[40,]  9.655641 0.3686837
[41,]  9.655641 0.3684491
[42,]  9.646410 0.3678057
[43,]  9.636960 0.3664165
[44,]  9.620842 0.3650609
[45,]  9.615897 0.3647238
[46,]  9.605788 0.3637778
[47,]  9.598901 0.3633128
[48,]  9.590110 0.3624516
[49,]  9.561392 0.3597190
[50,]  9.550403 0.3589968
[51,]  9.531722 0.3577782
[52,]  9.529817 0.3576545
[53,]  9.533700 0.3573182
[54,]  9.535678 0.3568476
[55,]  9.525604 0.3558915
[56,]  9.525604 0.3558915
[57,]  9.517253 0.3553537
[58,]  9.521502 0.3543456
[59,]  9.532308 0.3514633
[60,]  9.532308 0.3514633
[61,]  9.534542 0.3499307
[62,]  9.534542 0.3499307
[63,]  9.502234 0.3475365
[64,]  9.495201 0.3463953
[65,]  9.495201 0.3460409
[66,]  9.480696 0.3436973
[67,]  9.473333 0.3425122
[68,]  9.475824 0.3422977
[69,]  9.470769 0.3416104
[70,]  9.478462 0.3409484
[71,]  9.470659 0.3404659
[72,]  9.460110 0.3390367
[73,]  9.478828 0.3362435
[74,]  9.467985 0.3351792
[75,]  9.470733 0.3345387
[76,]  9.529194 0.3278886
[77,]  9.526374 0.3264736
[78,] 10.103516 0.2782262
[79,] 10.372637 0.2554318
[80,] 10.437106 0.2495422
[81,] 10.588425 0.2361875
[82,] 10.666520 0.2285740
[83,] 10.845897 0.2148906
[84,] 10.848974 0.2116432
[85,] 10.945495 0.2034182
[86,] 11.103004 0.1920011
[87,] 11.103004 0.1911252
[88,] 11.138462 0.1869479
[89,] 11.255824 0.1773666
[90,] 11.285495 0.1749904
[91,] 11.278828 0.1745265
> (tri <- trimean(x))
           [,1]      [,2]
 [1,]  9.703137 0.3762988
 [2,]  9.705874 0.3762817
 [3,]  9.708914 0.3762778
 [4,]  9.713057 0.3763387
 [5,]  9.717567 0.3764172
 [6,]  9.722605 0.3765125
 [7,]  9.728031 0.3766192
 [8,]  9.733580 0.3767158
 [9,]  9.739176 0.3768025
[10,]  9.744941 0.3768882
[11,]  9.750837 0.3769625
[12,]  9.756787 0.3770255
[13,]  9.762834 0.3770725
[14,]  9.768980 0.3771028
[15,]  9.775514 0.3771464
[16,]  9.782075 0.3771732
[17,]  9.788703 0.3771782
[18,]  9.795232 0.3771848
[19,]  9.802000 0.3771745
[20,]  9.808927 0.3771469
[21,]  9.816017 0.3770931
[22,]  9.823362 0.3770272
[23,]  9.830837 0.3769456
[24,]  9.838400 0.3768352
[25,]  9.846143 0.3767022
[26,]  9.854027 0.3765325
[27,]  9.862192 0.3763540
[28,]  9.870691 0.3761519
[29,]  9.879860 0.3759623
[30,]  9.889296 0.3757391
[31,]  9.898910 0.3754818
[32,]  9.908708 0.3751784
[33,]  9.918696 0.3748364
[34,]  9.928976 0.3744520
[35,]  9.939458 0.3740242
[36,]  9.950050 0.3735519
[37,]  9.961055 0.3730493
[38,]  9.972386 0.3724942
[39,]  9.983949 0.3718851
[40,]  9.995803 0.3712121
[41,] 10.007958 0.3704711
[42,] 10.020370 0.3696647
[43,] 10.033369 0.3688074
[44,] 10.046973 0.3679327
[45,] 10.061421 0.3670348
[46,] 10.076354 0.3660617
[47,] 10.091955 0.3650375
[48,] 10.108136 0.3639340
[49,] 10.124971 0.3627649
[50,] 10.143121 0.3616138
[51,] 10.162047 0.3603820
[52,] 10.182012 0.3590854
[53,] 10.202515 0.3576674
[54,] 10.223394 0.3561320
[55,] 10.244724 0.3544762
[56,] 10.266894 0.3527114
[57,] 10.289623 0.3507812
[58,] 10.313185 0.3486974
[59,] 10.337226 0.3464786
[60,] 10.361569 0.3442201
[61,] 10.386556 0.3417505
[62,] 10.412148 0.3391398
[63,] 10.438435 0.3362851
[64,] 10.466414 0.3332859
[65,] 10.495385 0.3300667
[66,] 10.525177 0.3265621
[67,] 10.556259 0.3228575
[68,] 10.588467 0.3188625
[69,] 10.621556 0.3144898
[70,] 10.655789 0.3097230
[71,] 10.690840 0.3045260
[72,] 10.727209 0.2988199
[73,] 10.765039 0.2926069
[74,] 10.803520 0.2859578
[75,] 10.843577 0.2786413
[76,] 10.884876 0.2705395
[77,] 10.925798 0.2621334
[78,] 10.968205 0.2528166
[79,] 10.994522 0.2473662
[80,] 11.013540 0.2433781
[81,] 11.031261 0.2394460
[82,] 11.044954 0.2362196
[83,] 11.056729 0.2332525
[84,] 11.063333 0.2310694
[85,] 11.070097 0.2288539
[86,] 11.074059 0.2270159
[87,] 11.073131 0.2258165
[88,] 11.072165 0.2244794
[89,] 11.070000 0.2232479
[90,] 11.063871 0.2225359
[91,] 11.056484 0.2218253
> (midr <- midrange(x))
[1] 9.35
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 10.55419 10.62225 10.62225 10.62225 10.62225 10.55626 10.62225 10.62225
> postscript(file="/var/www/html/rcomp/tmp/139kr1236722596.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/2skkb1236722596.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/34u8x1236722597.tab") 
> 
> system("convert tmp/139kr1236722596.ps tmp/139kr1236722596.png")
> system("convert tmp/2skkb1236722596.ps tmp/2skkb1236722596.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.446   0.368   5.806