R version 2.5.1 (2007-06-27)
Copyright (C) 2007 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(580
+ ,574
+ ,563
+ ,556
+ ,546
+ ,545
+ ,605
+ ,628
+ ,631
+ ,626
+ ,614
+ ,606
+ ,602
+ ,589
+ ,574
+ ,558
+ ,552
+ ,546
+ ,607
+ ,636
+ ,631
+ ,623
+ ,618
+ ,605
+ ,619
+ ,596
+ ,570
+ ,546
+ ,528
+ ,506
+ ,555
+ ,568
+ ,564
+ ,553
+ ,541
+ ,542
+ ,540
+ ,521
+ ,505
+ ,491
+ ,482
+ ,478
+ ,523
+ ,531
+ ,532
+ ,540
+ ,525
+ ,533
+ ,531
+ ,508
+ ,495
+ ,482
+ ,470
+ ,466
+ ,515
+ ,518
+ ,516
+ ,511
+ ,500
+ ,498
+ ,494
+ ,476
+ ,458
+ ,443
+ ,430
+ ,424
+ ,476
+ ,481
+ ,470
+ ,460
+ ,451
+ ,450
+ ,444
+ ,429
+ ,421
+ ,400
+ ,389
+ ,384
+ ,432
+ ,446
+ ,431
+ ,423
+ ,416
+ ,416
+ ,413
+ ,399
+ ,386
+ ,374
+ ,365
+ ,365
+ ,418
+ ,428
+ ,424
+ ,421
+ ,417
+ ,423
+ ,423
+ ,419
+ ,406
+ ,398
+ ,390
+ ,391
+ ,444
+ ,460
+ ,455
+ ,456
+ ,452
+ ,459
+ ,461
+ ,451
+ ,443
+ ,439
+ ,430
+ ,436
+ ,488
+ ,506
+ ,502
+ ,501
+ ,501
+ ,515
+ ,521
+ ,520
+ ,512
+ ,509
+ ,505
+ ,511
+ ,570
+ ,592
+ ,594
+ ,586
+ ,586
+ ,592
+ ,594
+ ,586
+ ,572
+ ,563
+ ,555
+ ,554
+ ,601
+ ,622
+ ,617
+ ,606
+ ,595
+ ,599
+ ,600
+ ,592
+ ,575
+ ,567
+ ,555
+ ,555
+ ,608
+ ,631
+ ,629
+ ,624
+ ,610
+ ,616
+ ,621
+ ,604
+ ,584
+ ,574
+ ,555
+ ,545
+ ,599
+ ,620
+ ,608
+ ,590
+ ,579
+ ,580
+ ,579
+ ,572
+ ,560
+ ,551
+ ,537
+ ,541
+ ,588
+ ,607
+ ,599
+ ,578
+ ,563
+ ,566
+ ,561
+ ,554
+ ,540
+ ,526
+ ,512
+ ,505
+ ,554
+ ,584
+ ,569
+ ,540
+ ,522
+ ,526
+ ,527
+ ,516
+ ,503
+ ,489
+ ,479
+ ,475
+ ,524
+ ,552
+ ,532
+ ,511
+ ,492
+ ,492
+ ,493
+ ,481
+ ,462
+ ,457
+ ,442
+ ,439
+ ,488
+ ,521
+ ,501
+ ,485
+ ,464
+ ,460
+ ,467
+ ,460
+ ,448
+ ,443
+ ,436
+ ,431
+ ,484
+ ,510
+ ,513
+ ,503
+ ,471
+ ,471
+ ,476
+ ,475
+ ,470
+ ,461
+ ,455
+ ,456
+ ,517
+ ,525
+ ,523
+ ,519
+ ,509
+ ,512
+ ,519
+ ,517
+ ,510
+ ,509
+ ,501
+ ,507
+ ,569
+ ,580
+ ,578
+ ,565
+ ,547
+ ,555
+ ,562
+ ,561
+ ,555
+ ,544
+ ,537
+ ,543
+ ,594
+ ,611
+ ,613
+ ,611
+ ,594
+ ,595
+ ,591
+ ,589
+ ,584
+ ,573
+ ,567
+ ,569
+ ,621
+ ,629
+ ,628
+ ,612
+ ,595
+ ,597
+ ,593
+ ,590
+ ,580
+ ,574
+ ,573
+ ,573
+ ,620
+ ,626
+ ,620
+ ,588
+ ,566
+ ,557
+ ,561
+ ,549
+ ,532
+ ,526
+ ,511
+ ,499
+ ,555
+ ,565
+ ,542)
> 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: Wessa, P., (2007), Central Tendency (v1.0.2) 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
> #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] 526.2155
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 3.770488
> (armose <- arm / armse)
[1] 139.5616
> (geo <- geomean(x))
[1] 522.0396
> (har <- harmean(x))
[1] 517.6879
> (qua <- quamean(x))
[1] 530.1989
> (win <- winmean(x))
           [,1]     [,2]
  [1,] 526.1987 3.768870
  [2,] 526.2593 3.760345
  [3,] 526.3603 3.746953
  [4,] 526.3603 3.740998
  [5,] 526.4108 3.734658
  [6,] 526.4108 3.730288
  [7,] 526.4343 3.727386
  [8,] 526.5690 3.699818
  [9,] 526.5993 3.696272
 [10,] 526.5657 3.686290
 [11,] 526.7508 3.657708
 [12,] 526.9933 3.623317
 [13,] 527.0808 3.605640
 [14,] 527.0808 3.605640
 [15,] 527.0808 3.595973
 [16,] 527.1347 3.590421
 [17,] 527.1919 3.584564
 [18,] 527.2525 3.567001
 [19,] 527.1886 3.561466
 [20,] 527.2559 3.542204
 [21,] 527.1852 3.536179
 [22,] 527.0370 3.523717
 [23,] 527.0370 3.509582
 [24,] 526.9562 3.502924
 [25,] 527.2088 3.463020
 [26,] 527.2963 3.454576
 [27,] 527.2963 3.438446
 [28,] 527.1077 3.423259
 [29,] 527.2054 3.413932
 [30,] 527.1044 3.405892
 [31,] 527.2088 3.395973
 [32,] 527.5320 3.347108
 [33,] 527.5320 3.347108
 [34,] 527.7609 3.306619
 [35,] 527.7609 3.306619
 [36,] 528.0034 3.264396
 [37,] 527.8788 3.233883
 [38,] 527.7508 3.224019
 [39,] 527.6195 3.213984
 [40,] 527.6195 3.191823
 [41,] 527.6195 3.191823
 [42,] 527.9024 3.166951
 [43,] 527.9024 3.119959
 [44,] 528.0505 3.083414
 [45,] 528.0505 3.059248
 [46,] 528.0505 3.059248
 [47,] 528.2088 3.045827
 [48,] 528.5320 2.993255
 [49,] 528.5320 2.993255
 [50,] 528.7003 2.979329
 [51,] 528.7003 2.979329
 [52,] 528.7003 2.952005
 [53,] 528.7003 2.924304
 [54,] 528.8822 2.909502
 [55,] 529.0673 2.894524
 [56,] 528.8788 2.880731
 [57,] 528.6869 2.866807
 [58,] 528.6869 2.866807
 [59,] 528.6869 2.836447
 [60,] 528.6869 2.836447
 [61,] 528.6869 2.805207
 [62,] 529.1044 2.771876
 [63,] 529.1044 2.708059
 [64,] 529.3199 2.691147
 [65,] 529.9764 2.640266
 [66,] 529.5320 2.608659
 [67,] 529.5320 2.608659
 [68,] 529.7609 2.591062
 [69,] 528.8316 2.526395
 [70,] 529.7744 2.454388
 [71,] 529.7744 2.454388
 [72,] 530.0168 2.436170
 [73,] 529.7710 2.419202
 [74,] 529.7710 2.419202
 [75,] 530.0236 2.364127
 [76,] 530.2795 2.345164
 [77,] 530.0202 2.253999
 [78,] 529.7576 2.236369
 [79,] 530.0236 2.216840
 [80,] 530.0236 2.216840
 [81,] 530.5690 2.177170
 [82,] 530.5690 2.138700
 [83,] 531.4074 2.078948
 [84,] 531.4074 2.078948
 [85,] 531.4074 2.039507
 [86,] 531.9865 1.999107
 [87,] 531.6936 1.939477
 [88,] 531.6936 1.939477
 [89,] 531.6936 1.898859
 [90,] 531.9966 1.878071
 [91,] 532.3030 1.857204
 [92,] 532.9226 1.774075
 [93,] 532.9226 1.732442
 [94,] 533.2391 1.711591
 [95,] 533.2391 1.669401
 [96,] 533.2391 1.669401
 [97,] 532.9125 1.647831
 [98,] 532.9125 1.647831
 [99,] 532.9125 1.604200
> (tri <- trimean(x))
           [,1]     [,2]
  [1,] 526.3898 3.737859
  [2,] 526.5836 3.705514
  [3,] 526.7491 3.676327
  [4,] 526.8824 3.650747
  [5,] 527.0174 3.625709
  [6,] 527.1439 3.601020
  [7,] 527.2721 3.576089
  [8,] 527.3986 3.550549
  [9,] 527.5090 3.528008
 [10,] 527.6173 3.504942
 [11,] 527.7309 3.482069
 [12,] 527.8278 3.461447
 [13,] 527.9041 3.443548
 [14,] 527.9740 3.426572
 [15,] 528.0449 3.408795
 [16,] 528.1170 3.391037
 [17,] 528.1863 3.372908
 [18,] 528.2529 3.354393
 [19,] 528.3166 3.336365
 [20,] 528.3852 3.317873
 [21,] 528.4510 3.299887
 [22,] 528.5217 3.281431
 [23,] 528.6016 3.262898
 [24,] 528.6827 3.244381
 [25,] 528.7692 3.225350
 [26,] 528.8449 3.207923
 [27,] 528.9177 3.190124
 [28,] 528.9917 3.172381
 [29,] 529.0753 3.154593
 [30,] 529.1561 3.136417
 [31,] 529.2426 3.117722
 [32,] 529.3262 3.098600
 [33,] 529.3983 3.081243
 [34,] 529.4716 3.062924
 [35,] 529.5374 3.045842
 [36,] 529.6044 3.027794
 [37,] 529.6637 3.011021
 [38,] 529.7285 2.994887
 [39,] 529.7991 2.978309
 [40,] 529.8756 2.961261
 [41,] 529.9535 2.944349
 [42,] 530.0329 2.926419
 [43,] 530.1043 2.908729
 [44,] 530.1770 2.892363
 [45,] 530.2464 2.876841
 [46,] 530.3171 2.861544
 [47,] 530.3892 2.845260
 [48,] 530.4577 2.828620
 [49,] 530.5176 2.813563
 [50,] 530.5787 2.797501
 [51,] 530.6359 2.781083
 [52,] 530.6943 2.763563
 [53,] 530.7539 2.746241
 [54,] 530.8148 2.729134
 [55,] 530.8717 2.711614
 [56,] 530.9243 2.693657
 [57,] 530.9243 2.675122
 [58,] 531.0497 2.655967
 [59,] 531.1173 2.635450
 [60,] 531.1864 2.615052
 [61,] 531.2571 2.593179
 [62,] 531.3295 2.571378
 [63,] 531.3918 2.549818
 [64,] 531.4556 2.530053
 [65,] 531.5150 2.509715
 [66,] 531.5576 2.490623
 [67,] 531.6135 2.471673
 [68,] 531.6708 2.451213
 [69,] 531.7233 2.430122
 [70,] 531.8025 2.410736
 [71,] 531.8581 2.393862
 [72,] 531.9150 2.375539
 [73,] 531.9669 2.356699
 [74,] 532.0268 2.337149
 [75,] 532.0884 2.315887
 [76,] 532.1448 2.296027
 [77,] 532.1958 2.275544
 [78,] 532.2553 2.258529
 [79,] 532.3237 2.240871
 [80,] 532.3869 2.222737
 [81,] 532.4519 2.202835
 [82,] 532.5038 2.183578
 [83,] 532.5573 2.164822
 [84,] 532.5891 2.148063
 [85,] 532.5891 2.129536
 [86,] 532.6560 2.111630
 [87,] 532.6748 2.094511
 [88,] 532.7025 2.079403
 [89,] 532.7311 2.062535
 [90,] 532.7607 2.046492
 [91,] 532.7826 2.030011
 [92,] 532.7965 2.013041
 [93,] 532.7928 1.999923
 [94,] 532.7890 1.987989
 [95,] 532.7757 1.975842
 [96,] 532.7619 1.965011
 [97,] 532.7476 1.952497
 [98,] 532.7426 1.939769
 [99,] 532.7374 1.925086
> (midr <- midrange(x))
[1] 500.5
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 530.9667 531.5987 531.5987 531.5987 531.5987 531.5987 531.5987 531.5987
> postscript(file="/var/www/html/rcomp/tmp/1teqz1192976754.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/2s0lt1192976754.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 
> 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/3v0ug1192976755.tab") 
> 
> system("convert tmp/1teqz1192976754.ps tmp/1teqz1192976754.png")
> system("convert tmp/2s0lt1192976754.ps tmp/2s0lt1192976754.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.149   0.367   1.281