R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(350840
+ ,354950
+ ,342750
+ ,318610
+ ,303890
+ ,293480
+ ,286820
+ ,283650
+ ,276190
+ ,268670
+ ,275960
+ ,287040
+ ,291500
+ ,287540
+ ,272340
+ ,256570
+ ,246190
+ ,237340
+ ,235890
+ ,232790
+ ,226100
+ ,221110
+ ,221950
+ ,222990
+ ,232840
+ ,231380
+ ,221690
+ ,210190
+ ,202210
+ ,195210
+ ,194050
+ ,192360
+ ,187170
+ ,185930
+ ,188840
+ ,189350
+ ,194320
+ ,195850
+ ,188840
+ ,182380
+ ,177200
+ ,169140
+ ,171900
+ ,167320
+ ,164130
+ ,162550
+ ,166260
+ ,166010
+ ,177070
+ ,180800
+ ,179570
+ ,178130
+ ,178180
+ ,179430
+ ,179130
+ ,182220
+ ,183650
+ ,187110
+ ,197780
+ ,204000
+ ,221330
+ ,232500
+ ,237570
+ ,241100
+ ,244420
+ ,247240
+ ,254300
+ ,258970
+ ,262230
+ ,268880
+ ,277950
+ ,286630
+ ,299830
+ ,308090
+ ,311400
+ ,313520
+ ,310980
+ ,314910
+ ,310950
+ ,310720
+ ,310380
+ ,310570
+ ,314790
+ ,323400
+ ,335010
+ ,341630
+ ,340820
+ ,336280
+ ,325490
+ ,323750
+ ,317510
+ ,313890
+ ,308610
+ ,303720
+ ,303090
+ ,305140
+ ,304040
+ ,307100
+ ,304330
+ ,294710
+ ,286890
+ ,279050
+ ,271860
+ ,266710
+ ,259590
+ ,253830
+ ,250640
+ ,249140
+ ,250840
+ ,247590
+ ,237830
+ ,226380
+ ,217230
+ ,211420
+ ,207620
+ ,204310
+ ,197490
+ ,193580
+ ,192330
+ ,191970
+ ,196070
+ ,191940
+ ,185620
+ ,179410
+ ,173920
+ ,169190
+ ,166840
+ ,165170
+ ,161450
+ ,160830
+ ,163670
+ ,170830
+ ,182690
+ ,190940
+ ,197770
+ ,205090
+ ,210720
+ ,220210
+ ,229730
+ ,237070
+ ,241620
+ ,250370
+ ,258570
+ ,269860
+ ,283220
+ ,289610
+ ,281770
+ ,274700
+ ,267650
+ ,261380
+ ,260500
+ ,260730
+ ,254200
+ ,250450
+ ,253380
+ ,263740
+ ,276240
+ ,273820
+ ,265890
+ ,258400
+ ,253520
+ ,250710
+ ,252850
+ ,255260
+ ,251170
+ ,252500
+ ,257780
+ ,269900
+ ,291590
+ ,298870
+ ,295570
+ ,292100
+ ,290870
+ ,290580
+ ,297970
+ ,304010
+ ,304340
+ ,309850
+ ,322320
+ ,340170
+ ,369280
+ ,376690
+ ,379700
+ ,379520
+ ,377770
+ ,381560
+ ,394580
+ ,399320
+ ,400370
+ ,408200
+ ,419070
+ ,437730)
> 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] 256950.1
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 4447.166
> (armose <- arm / armse)
[1] 57.77839
> (geo <- geomean(x))
[1] 249707.3
> (har <- harmean(x))
[1] 242625.4
> (qua <- quamean(x))
[1] 264198.4
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 256856.1 4427.134
 [2,] 256754.3 4404.793
 [3,] 256649.5 4381.322
 [4,] 256637.2 4376.514
 [5,] 256540.8 4352.744
 [6,] 256160.2 4284.885
 [7,] 256101.5 4273.552
 [8,] 256118.2 4269.764
 [9,] 256058.6 4254.955
[10,] 256097.2 4236.282
[11,] 255675.5 4174.080
[12,] 254882.4 4040.976
[13,] 254676.6 3997.537
[14,] 254234.0 3909.496
[15,] 254392.6 3873.053
[16,] 254335.9 3863.985
[17,] 254360.7 3848.681
[18,] 254000.7 3806.268
[19,] 253969.0 3782.335
[20,] 253006.5 3672.369
[21,] 252818.4 3652.631
[22,] 252794.3 3646.873
[23,] 252812.3 3618.388
[24,] 252526.0 3554.048
[25,] 252403.6 3538.018
[26,] 252093.5 3500.160
[27,] 252211.7 3484.613
[28,] 252367.7 3442.923
[29,] 252358.6 3432.955
[30,] 252211.8 3383.709
[31,] 252153.6 3376.535
[32,] 252427.0 3348.217
[33,] 252387.4 3344.604
[34,] 252451.2 3333.211
[35,] 252706.4 3301.486
[36,] 252794.5 3274.102
[37,] 252561.4 3251.855
[38,] 252529.7 3235.640
[39,] 252334.7 3217.044
[40,] 252180.5 3156.150
[41,] 252110.1 3131.437
[42,] 252166.9 3125.518
[43,] 252301.3 3100.578
[44,] 252441.1 3085.866
[45,] 252464.5 3078.458
[46,] 252764.0 3042.395
[47,] 252678.3 3022.380
[48,] 251865.8 2951.878
[49,] 252751.4 2823.754
[50,] 252983.2 2760.235
[51,] 252428.0 2698.683
[52,] 252406.4 2659.537
[53,] 252765.2 2566.608
[54,] 253099.9 2468.250
[55,] 253105.6 2442.374
[56,] 253283.5 2421.692
[57,] 254821.4 2252.631
[58,] 255634.0 2167.407
[59,] 255612.4 2118.681
[60,] 255034.3 2058.890
[61,] 254989.8 2035.980
[62,] 255025.4 2024.803
[63,] 255343.6 1993.818
[64,] 256317.0 1901.372
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 256504.5 4362.170
 [2,] 256145.4 4292.693
 [3,] 255831.1 4230.802
 [4,] 255546.4 4173.591
 [5,] 255258.7 4113.786
 [6,] 254985.2 4055.578
 [7,] 254774.0 4007.545
 [8,] 254567.1 3958.186
 [9,] 254353.2 3905.882
[10,] 254141.6 3852.031
[11,] 253920.8 3796.823
[12,] 253738.5 3745.899
[13,] 253628.2 3707.818
[14,] 253533.8 3671.904
[15,] 253474.5 3642.895
[16,] 253401.1 3615.328
[17,] 253330.1 3586.429
[18,] 253255.4 3556.640
[19,] 253203.8 3528.412
[20,] 253153.0 3499.988
[21,] 253162.3 3478.855
[22,] 253183.6 3457.449
[23,] 253206.8 3434.527
[24,] 253229.7 3411.819
[25,] 253269.4 3392.131
[26,] 253316.9 3371.726
[27,] 253382.3 3352.184
[28,] 253443.5 3331.824
[29,] 253498.6 3312.554
[30,] 253555.8 3291.952
[31,] 253621.9 3272.835
[32,] 253693.0 3252.086
[33,] 253753.3 3231.195
[34,] 253817.3 3208.184
[35,] 253880.6 3183.446
[36,] 253934.2 3158.388
[37,] 253985.8 3132.576
[38,] 254049.5 3105.449
[39,] 254116.8 3076.400
[40,] 254195.2 3045.353
[41,] 254283.1 3015.474
[42,] 254377.3 2983.910
[43,] 254472.6 2948.926
[44,] 254565.9 2911.734
[45,] 254656.8 2871.162
[46,] 254750.3 2826.071
[47,] 254834.9 2778.570
[48,] 254926.7 2726.672
[49,] 255056.9 2674.288
[50,] 255155.1 2627.720
[51,] 255247.8 2580.954
[52,] 255368.4 2533.356
[53,] 255495.6 2482.726
[54,] 255613.3 2434.520
[55,] 255722.3 2389.589
[56,] 255836.5 2340.277
[57,] 255948.7 2285.350
[58,] 255998.7 2241.924
[59,] 256015.0 2201.139
[60,] 256033.2 2158.877
[61,] 256078.9 2116.122
[62,] 256129.3 2068.156
[63,] 256181.1 2012.353
[64,] 256220.9 1950.029
> (midr <- midrange(x))
[1] 299280
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 254337.4 254926.7 254337.4 254926.7 254926.7 254337.4 254926.7 254834.9
> postscript(file="/var/wessaorg/rcomp/tmp/1fx7q1414050558.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/2f18z1414050558.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/3019b1414050558.tab") 
> 
> try(system("convert tmp/1fx7q1414050558.ps tmp/1fx7q1414050558.png",intern=TRUE))
character(0)
> try(system("convert tmp/2f18z1414050558.ps tmp/2f18z1414050558.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.586   0.185   1.776