R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(7612
+ ,7381
+ ,6978
+ ,6819
+ ,6688
+ ,6454
+ ,6679
+ ,6921
+ ,7807
+ ,7898
+ ,7832
+ ,7384
+ ,7620
+ ,7281
+ ,6929
+ ,6587
+ ,6071
+ ,5928
+ ,5964
+ ,6374
+ ,7160
+ ,7213
+ ,6890
+ ,6525
+ ,6739
+ ,6580
+ ,6391
+ ,6254
+ ,6114
+ ,5978
+ ,6315
+ ,6427
+ ,7132
+ ,7292
+ ,7708
+ ,7525
+ ,7450
+ ,7526
+ ,7263
+ ,7070
+ ,6893
+ ,6781
+ ,7188
+ ,7015
+ ,8273
+ ,8470
+ ,8230
+ ,8137
+ ,8122
+ ,8367
+ ,8141
+ ,7750
+ ,7504
+ ,7330
+ ,7608
+ ,7647
+ ,8942
+ ,8865
+ ,8320
+ ,8207
+ ,8105
+ ,8290
+ ,8162
+ ,8051
+ ,7699
+ ,7440
+ ,7656
+ ,7549
+ ,9086
+ ,8942
+ ,8764
+ ,8500
+ ,8239
+ ,8443
+ ,8349
+ ,8288
+ ,7970
+ ,7496
+ ,7745
+ ,7543
+ ,9036
+ ,9075
+ ,8859
+ ,8605
+ ,8419
+ ,8495
+ ,8284
+ ,7582
+ ,7691
+ ,7046
+ ,7442
+ ,7596
+ ,8597
+ ,8436
+ ,7881
+ ,7477
+ ,7508
+ ,7361
+ ,7299
+ ,6914
+ ,6768
+ ,6746
+ ,7052
+ ,7139
+ ,7714
+ ,7750
+ ,7622
+ ,7424
+ ,7444
+ ,7208
+ ,7128
+ ,7022
+ ,6688
+ ,6199
+ ,6400
+ ,6474
+ ,7182
+ ,7330
+ ,7410
+ ,7442
+ ,7753
+ ,7762
+ ,7814
+ ,7838
+ ,7298
+ ,7155
+ ,7076
+ ,7450
+ ,8216
+ ,8246
+ ,8335
+ ,8171
+ ,8485
+ ,8435
+ ,8369
+ ,8210
+ ,7888
+ ,8061
+ ,8139
+ ,7837
+ ,8943
+ ,8523
+ ,8104
+ ,7969
+ ,7921
+ ,7930
+ ,7706
+ ,7552
+ ,7379
+ ,6946
+ ,7128
+ ,7393
+ ,8092
+ ,8004
+ ,7903
+ ,7710
+ ,7867
+ ,7860
+ ,7723
+ ,7477
+ ,7126
+ ,7161
+ ,7162
+ ,7406
+ ,7944
+ ,8084
+ ,8088
+ ,7972
+ ,8184
+ ,7914
+ ,7845
+ ,7610
+ ,7278
+ ,6883
+ ,7123
+ ,7182
+ ,7912
+ ,7893
+ ,7671
+ ,7403
+ ,7663
+ ,7589
+ ,7450
+ ,7069
+ ,6670
+ ,6285
+ ,6506
+ ,6539
+ ,7291
+ ,7391
+ ,7126
+ ,6752
+ ,6835
+ ,6664
+ ,6562
+ ,6174
+ ,5741
+ ,5398
+ ,5203
+ ,5673
+ ,6379
+ ,6418
+ ,6272
+ ,6059)
> 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] 7464.848
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 52.82014
> (armose <- arm / armse)
[1] 141.3258
> (geo <- geomean(x))
[1] 7425.659
> (har <- harmean(x))
[1] 7385.074
> (qua <- quamean(x))
[1] 7502.687
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 7465.750 52.61865
 [2,] 7468.064 52.07144
 [3,] 7467.696 51.70671
 [4,] 7471.343 51.12959
 [5,] 7472.225 50.99971
 [6,] 7470.373 50.62537
 [7,] 7472.946 50.20275
 [8,] 7469.691 49.64479
 [9,] 7464.574 48.52608
[10,] 7467.123 48.08421
[11,] 7464.480 47.45614
[12,] 7466.363 46.88978
[13,] 7467.191 46.70987
[14,] 7467.397 46.52362
[15,] 7468.500 46.13127
[16,] 7471.010 45.34541
[17,] 7470.843 45.23436
[18,] 7471.814 45.09963
[19,] 7471.162 44.84487
[20,] 7468.025 44.13590
[21,] 7468.745 44.00689
[22,] 7469.716 43.47525
[23,] 7470.392 43.06028
[24,] 7472.392 42.46060
[25,] 7471.044 41.84237
[26,] 7472.574 41.61983
[27,] 7475.088 41.23448
[28,] 7476.049 40.82059
[29,] 7473.206 40.34730
[30,] 7483.500 39.05136
[31,] 7483.044 38.82723
[32,] 7482.260 38.47460
[33,] 7482.745 38.23413
[34,] 7482.245 38.18733
[35,] 7487.049 36.93451
[36,] 7485.990 36.59898
[37,] 7485.446 36.34058
[38,] 7484.515 35.68841
[39,] 7486.618 35.40885
[40,] 7493.676 34.64997
[41,] 7493.877 34.06779
[42,] 7500.260 32.82124
[43,] 7501.525 32.66571
[44,] 7499.583 32.37177
[45,] 7503.333 31.86730
[46,] 7504.010 31.64229
[47,] 7500.554 30.99971
[48,] 7502.201 30.42866
[49,] 7498.598 28.74901
[50,] 7499.824 27.27308
[51,] 7501.074 27.07754
[52,] 7506.936 26.52727
[53,] 7502.000 25.84134
[54,] 7502.794 25.14589
[55,] 7500.637 24.92060
[56,] 7500.363 24.62123
[57,] 7512.936 23.47955
[58,] 7511.230 23.19621
[59,] 7509.784 23.07613
[60,] 7508.902 22.90627
[61,] 7507.407 22.78300
[62,] 7506.495 22.50859
[63,] 7504.333 21.97858
[64,] 7507.157 21.39102
[65,] 7503.971 20.87525
[66,] 7502.029 20.66717
[67,] 7502.029 20.61418
[68,] 7507.029 19.94205
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 7468.020 51.52519
 [2,] 7470.335 50.35641
 [3,] 7471.505 49.41372
 [4,] 7472.827 48.54807
 [5,] 7473.216 47.79646
 [6,] 7473.427 47.02691
 [7,] 7473.974 46.28451
 [8,] 7474.133 45.57066
 [9,] 7474.742 44.90144
[10,] 7475.995 44.35527
[11,] 7476.989 43.83349
[12,] 7478.278 43.35633
[13,] 7479.416 42.91453
[14,] 7480.506 42.46227
[15,] 7481.603 41.99817
[16,] 7482.640 41.54193
[17,] 7483.512 41.13163
[18,] 7484.417 40.70172
[19,] 7485.277 40.25254
[20,] 7486.201 39.79283
[21,] 7487.346 39.36109
[22,] 7488.475 38.90724
[23,] 7489.576 38.46378
[24,] 7490.667 38.02030
[25,] 7491.675 37.59136
[26,] 7492.783 37.17765
[27,] 7493.840 36.74783
[28,] 7494.797 36.31331
[29,] 7495.733 35.87499
[30,] 7496.833 35.43576
[31,] 7496.833 35.06117
[32,] 7498.150 34.67021
[33,] 7498.884 34.27090
[34,] 7499.618 33.85354
[35,] 7500.396 33.40084
[36,] 7500.985 33.00388
[37,] 7501.638 32.59447
[38,] 7502.336 32.16509
[39,] 7503.095 31.74415
[40,] 7503.790 31.30319
[41,] 7504.213 30.87857
[42,] 7504.642 30.45619
[43,] 7504.822 30.08867
[44,] 7504.957 29.69351
[45,] 7505.175 29.27847
[46,] 7505.250 28.85866
[47,] 7505.300 28.40983
[48,] 7505.491 27.96369
[49,] 7505.623 27.51428
[50,] 7505.904 27.15512
[51,] 7506.147 26.87503
[52,] 7506.350 26.57415
[53,] 7506.327 26.28012
[54,] 7506.500 26.00458
[55,] 7506.649 25.75009
[56,] 7506.891 25.47724
[57,] 7507.156 25.19033
[58,] 7506.920 24.96416
[59,] 7506.744 24.72643
[60,] 7506.619 24.45991
[61,] 7506.524 24.16512
[62,] 7506.524 23.83292
[63,] 7506.487 23.47340
[64,] 7506.579 23.11031
[65,] 7506.554 22.74962
[66,] 7506.667 22.38312
[67,] 7506.871 21.97242
[68,] 7507.088 21.48941
> (midr <- midrange(x))
[1] 7144.5
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 7501.379 7506.147 7501.379 7506.147 7506.147 7501.379 7506.147 7505.904
> postscript(file="/var/wessaorg/rcomp/tmp/1n4cf1457197675.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/2g8sp1457197675.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/36z951457197675.tab") 
> 
> try(system("convert tmp/1n4cf1457197675.ps tmp/1n4cf1457197675.png",intern=TRUE))
character(0)
> try(system("convert tmp/2g8sp1457197675.ps tmp/2g8sp1457197675.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.476   0.159   1.634