R version 2.9.0 (2009-04-17)
Copyright (C) 2009 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(26.663
+ ,23.598
+ ,26.931
+ ,24.740
+ ,25.806
+ ,24.364
+ ,24.477
+ ,23.901
+ ,23.175
+ ,23.227
+ ,21.672
+ ,21.870
+ ,21.439
+ ,21.089
+ ,23.709
+ ,21.669
+ ,21.752
+ ,20.761
+ ,23.479
+ ,23.824
+ ,23.105
+ ,23.110
+ ,21.759
+ ,22.073
+ ,21.937
+ ,20.035
+ ,23.590
+ ,21.672
+ ,22.222
+ ,22.123
+ ,23.950
+ ,23.504
+ ,22.238
+ ,23.142
+ ,21.059
+ ,21.573
+ ,21.548
+ ,20.000
+ ,22.424
+ ,20.615
+ ,21.761
+ ,22.874
+ ,24.104
+ ,23.748
+ ,23.262
+ ,22.907
+ ,21.519
+ ,22.025
+ ,22.604
+ ,20.894
+ ,24.677
+ ,23.673
+ ,25.320
+ ,23.583
+ ,24.671
+ ,24.454
+ ,24.122
+ ,24.252
+ ,22.084
+ ,22.991
+ ,23.287
+ ,23.049
+ ,25.076
+ ,24.037
+ ,24.430
+ ,24.667
+ ,26.451
+ ,25.618
+ ,25.014
+ ,25.110
+ ,22.964
+ ,23.981
+ ,23.798
+ ,22.270
+ ,24.775
+ ,22.646
+ ,23.988
+ ,24.737
+ ,26.276
+ ,25.816
+ ,25.210
+ ,25.199
+ ,23.162
+ ,24.707
+ ,24.364
+ ,22.644
+ ,25.565
+ ,24.062
+ ,25.431
+ ,24.635
+ ,27.009
+ ,26.606
+ ,26.268
+ ,26.462
+ ,25.246
+ ,25.180
+ ,24.657
+ ,23.304
+ ,26.982
+ ,26.199
+ ,27.210
+ ,26.122
+ ,26.706
+ ,26.878
+ ,26.152
+ ,26.379
+ ,24.712
+ ,25.688
+ ,24.990
+ ,24.239
+ ,26.721
+ ,23.475
+ ,24.767
+ ,26.219
+ ,28.361
+ ,28.599
+ ,27.914
+ ,27.784
+ ,25.693
+ ,26.881
+ ,26.217
+ ,24.218
+ ,27.914
+ ,26.975
+ ,28.527
+ ,27.139
+ ,28.982
+ ,28.169
+ ,28.056
+ ,29.136
+ ,26.291
+ ,26.987
+ ,26.589
+ ,24.848
+ ,27.543
+ ,26.896
+ ,28.878
+ ,27.390
+ ,28.065
+ ,28.141
+ ,29.048
+ ,28.484
+ ,26.634
+ ,27.735
+ ,27.132
+ ,24.924
+ ,28.963
+ ,26.589
+ ,27.931
+ ,28.009
+ ,29.229
+ ,28.759
+ ,28.405
+ ,27.945
+ ,25.912
+ ,26.619
+ ,26.076
+ ,25.286
+ ,27.660
+ ,25.951
+ ,26.398
+ ,25.565
+ ,28.865
+ ,30.000
+ ,29.261
+ ,29.012
+ ,26.992
+ ,27.897)
> ylimmax = ''
> ylimmin = ''
> main = 'maandelijkse geboortes new york'
> #'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] 25.05931
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.1788986
> (armose <- arm / armse)
[1] 140.0755
> (geo <- geomean(x))
[1] 24.95177
> (har <- harmean(x))
[1] 24.84346
> (qua <- quamean(x))
[1] 25.16573
> (win <- winmean(x))
          [,1]       [,2]
 [1,] 25.05512 0.17818870
 [2,] 25.06164 0.17703305
 [3,] 25.06259 0.17641478
 [4,] 25.06366 0.17567142
 [5,] 25.06750 0.17484020
 [6,] 25.06750 0.17454923
 [7,] 25.08129 0.17252532
 [8,] 25.08105 0.17150666
 [9,] 25.08191 0.17122182
[10,] 25.07709 0.17021210
[11,] 25.07290 0.16810704
[12,] 25.06797 0.16743996
[13,] 25.06464 0.16703022
[14,] 25.06473 0.16542352
[15,] 25.06142 0.16487567
[16,] 25.04333 0.16270507
[17,] 25.05152 0.16106079
[18,] 25.05056 0.15928703
[19,] 25.05949 0.15801686
[20,] 25.05961 0.15672935
[21,] 25.05299 0.15567667
[22,] 25.05626 0.15489163
[23,] 25.06749 0.15311004
[24,] 25.06977 0.15285608
[25,] 25.07201 0.15204755
[26,] 25.07835 0.14751472
[27,] 25.09940 0.14358501
[28,] 25.09357 0.14152695
[29,] 25.07372 0.13932262
[30,] 25.08711 0.13228240
[31,] 25.05999 0.12827239
[32,] 25.05732 0.12583741
[33,] 25.06125 0.12517444
[34,] 25.04810 0.12157985
[35,] 25.05622 0.12009600
[36,] 25.05622 0.11988844
[37,] 25.06217 0.11909946
[38,] 25.06511 0.11851077
[39,] 25.05791 0.11723910
[40,] 25.06196 0.11525791
[41,] 25.06684 0.11409754
[42,] 25.07234 0.11343557
[43,] 25.03651 0.10925269
[44,] 25.07736 0.10470851
[45,] 25.06692 0.10354225
[46,] 25.06582 0.10218336
[47,] 25.08373 0.09979052
[48,] 25.08201 0.09926865
[49,] 25.07939 0.09860351
[50,] 25.10171 0.09661100
[51,] 25.07408 0.09212539
[52,] 25.08275 0.09075098
[53,] 25.08180 0.08786147
[54,] 25.08405 0.08658434
[55,] 25.08045 0.08183142
[56,] 25.09179 0.07998534
> (tri <- trimean(x))
          [,1]       [,2]
 [1,] 25.06002 0.17594651
 [2,] 25.06505 0.17353454
 [3,] 25.06681 0.17158287
 [4,] 25.06829 0.16971734
 [5,] 25.06953 0.16792627
 [6,] 25.06996 0.16619653
 [7,] 25.07041 0.16438863
 [8,] 25.06869 0.16280998
 [9,] 25.06696 0.16127001
[10,] 25.06507 0.15964292
[11,] 25.06369 0.15802131
[12,] 25.06272 0.15654089
[13,] 25.06220 0.15501308
[14,] 25.06197 0.15339722
[15,] 25.06173 0.15182096
[16,] 25.06176 0.15016015
[17,] 25.06320 0.14857879
[18,] 25.06408 0.14701968
[19,] 25.06505 0.14549047
[20,] 25.06543 0.14393729
[21,] 25.06582 0.14235472
[22,] 25.06665 0.14071271
[23,] 25.06730 0.13897670
[24,] 25.06728 0.13722989
[25,] 25.06714 0.13532116
[26,] 25.06685 0.13328420
[27,] 25.06620 0.13145703
[28,] 25.06436 0.12979166
[29,] 25.06276 0.12812634
[30,] 25.06218 0.12647187
[31,] 25.06086 0.12526081
[32,] 25.06090 0.12425085
[33,] 25.06109 0.12331540
[34,] 25.06108 0.12230338
[35,] 25.06173 0.12146212
[36,] 25.06201 0.12061962
[37,] 25.06230 0.11965968
[38,] 25.06230 0.11861952
[39,] 25.06217 0.11746884
[40,] 25.06237 0.11625664
[41,] 25.06240 0.11504160
[42,] 25.06218 0.11374042
[43,] 25.06168 0.11228879
[44,] 25.06291 0.11102554
[45,] 25.06221 0.11000811
[46,] 25.06197 0.10891348
[47,] 25.06178 0.10774839
[48,] 25.06069 0.10661225
[49,] 25.05963 0.10529745
[50,] 25.05863 0.10378851
[51,] 25.05863 0.10220775
[52,] 25.05553 0.10086913
[53,] 25.05411 0.09939906
[54,] 25.05265 0.09797791
[55,] 25.05097 0.09638644
[56,] 25.04936 0.09509673
> (midr <- midrange(x))
[1] 25
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 25.04100 25.06218 25.04100 25.06218 25.06218 25.04100 25.06218 25.06240
> postscript(file="/var/www/html/rcomp/tmp/1uq621271864149.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/25in51271864149.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/3etx11271864149.tab") 
> 
> try(system("convert tmp/1uq621271864149.ps tmp/1uq621271864149.png",intern=TRUE))
character(0)
> try(system("convert tmp/25in51271864149.ps tmp/25in51271864149.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.881   0.337   2.885