R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- c(0.00503304609379793
+ ,0.0369990364302084
+ ,-0.0242253351525622
+ ,0.0774302913819214
+ ,-0.00764564307593042
+ ,-0.0615028099029395
+ ,-0.00325428840227112
+ ,-0.0123720899756001
+ ,-0.0121167399878335
+ ,-0.0555780237857432
+ ,0.000566454761534063
+ ,-0.0128295409407334
+ ,0.0333721592949187
+ ,0.0580101905630014
+ ,0.068144322930172
+ ,-0.00190855402359612
+ ,0.0630611837886725
+ ,-0.099173840670388
+ ,-0.0547062428745422
+ ,0.00146161103846953
+ ,0.00332756954060009
+ ,-0.0129861283501000
+ ,0.00828503800214442
+ ,0.00490815785100907
+ ,-0.0239934193883204
+ ,0.00859110731553958
+ ,-0.0401668590238771
+ ,-0.0151402191409042
+ ,-0.0111881596304491
+ ,-0.034313519274618
+ ,-0.0114415359525752
+ ,-0.0408561468763118
+ ,-0.00516004612766263
+ ,0.0238717452666721
+ ,0.0227434563437132
+ ,-0.0169648548379087
+ ,-0.0284217359364245
+ ,-0.04372801472545
+ ,-0.0115017844438929
+ ,-0.0167654149249827
+ ,0.000131664027486877
+ ,-0.000197945656498888
+ ,-0.0727844280851953
+ ,0.0613314010816017
+ ,-0.0219983778735946
+ ,0.0143970353497691
+ ,0.00424764682678269
+ ,0.00939639794455438
+ ,-0.00770575510573135
+ ,-0.0208875226171585
+ ,0.0133008235715266
+ ,-0.00759397480233925
+ ,0.0275323432358752
+ ,-0.0519422596420513
+ ,-0.0275692601985194
+ ,-0.0217925628961622
+ ,0.035190209057431
+ ,-0.00156089575412199
+ ,-0.0112336238504849
+ ,0.0136233293094081
+ ,0.000331213276318465
+ ,-0.0204624539762008
+ ,-0.0127689635938335
+ ,-0.019167050670025
+ ,0.0255498113425121
+ ,-0.0214409560932260
+ ,0.0369804725779241
+ ,-0.0176513890898153
+ ,-0.0253928193263784
+ ,-0.0237668717208255
+ ,0.0413405410035761
+ ,-0.00547298468324708
+ ,0.0122082838606632
+ ,-0.0115049363205761
+ ,0.0415860303545941
+ ,-0.0118019105819762
+ ,0.0104018998342141
+ ,0.0195251565982408
+ ,0.0713332837677605
+ ,0.00176536914999215
+ ,0.054369511060961
+ ,-0.0274598360070444
+ ,-0.0120782054880664
+ ,-0.0124868418131703
+ ,0.0139227878367221
+ ,0.0165768970921327
+ ,-0.0537109866158012
+ ,0.0250315498933045
+ ,0.00888544930718549
+ ,-0.0448416547272101
+ ,-0.0186545351743934
+ ,0.0154273952082749
+ ,0.044965398993444
+ ,0.0252596703861769
+ ,0.0200283930802225
+ ,0.0142181875359606
+ ,0.0510818777227975
+ ,0.00324108655092736
+ ,0.0696829862742891
+ ,-0.0194434812935693
+ ,-0.0208602478491304
+ ,-0.0349563408194555
+ ,-0.0645277276935783
+ ,-0.0727873041575275
+ ,0.00773451265950609
+ ,-0.0223149917053602
+ ,0.050946467850733
+ ,0.0233278838704400
+ ,-0.0141471722941908
+ ,0.0401139422966903
+ ,0.084876777442429
+ ,-0.0626624161464466
+ ,0.0252528267421308
+ ,0.00643754378152739
+ ,-0.00977534536026603
+ ,-0.0455191277539297
+ ,-0.0214176684336396
+ ,0.0177791357832877
+ ,-7.43775976124184e-05
+ ,0.0458210429699735
+ ,0.0439677925676429
+ ,0.00144100703965755
+ ,-0.0215577949166317
+ ,0.00830477214712921
+ ,0.0133426314557363
+ ,-0.0296399750462832
+ ,0.0357312385014144
+ ,-0.0460763442095855
+ ,0.0149983540855594
+ ,0.0479043557764234
+ ,0.0605261105261965
+ ,0.00453841177683056
+ ,0.000778060657639301
+ ,0.0240132737937353
+ ,-0.015493232135241
+ ,-0.0255503726249735
+ ,0.0271469368419943
+ ,0.0480546001633302
+ ,-0.0051538252567056
+ ,-0.000569555116127773
+ ,0.084623977811395)
> 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] 0.001148467
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.002872483
> (armose <- arm / armse)
[1] 0.3998168
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -0.02473232
> (qua <- quamean(x))
[1] 0.03400708
> (win <- winmean(x))
               [,1]         [,2]
 [1,]  0.0013338129 0.0028312264
 [2,]  0.0012318156 0.0028106152
 [3,]  0.0012777665 0.0027547392
 [4,]  0.0012838662 0.0027373792
 [5,]  0.0012704244 0.0027209015
 [6,]  0.0013062392 0.0026436877
 [7,]  0.0012636434 0.0026228746
 [8,]  0.0012744216 0.0026068711
 [9,]  0.0012267284 0.0025642657
[10,]  0.0013845465 0.0024645447
[11,]  0.0011715353 0.0024199670
[12,]  0.0012176683 0.0024103611
[13,]  0.0010537183 0.0023577529
[14,]  0.0013239504 0.0023177369
[15,]  0.0011756499 0.0022767830
[16,]  0.0016698200 0.0021893982
[17,]  0.0016270445 0.0021632658
[18,]  0.0019196124 0.0020527923
[19,]  0.0020506922 0.0020304096
[20,]  0.0019976251 0.0019936173
[21,]  0.0015500001 0.0019297449
[22,]  0.0018450341 0.0018980043
[23,]  0.0016669585 0.0018686094
[24,]  0.0017735891 0.0018363005
[25,]  0.0014923597 0.0017906796
[26,]  0.0004572889 0.0016547610
[27,]  0.0006615073 0.0016174875
[28,]  0.0004072213 0.0015744604
[29,]  0.0003898776 0.0015633701
[30,]  0.0004383722 0.0015581550
[31,]  0.0004154106 0.0015500399
[32,]  0.0001895976 0.0015234905
[33,]  0.0002805506 0.0015072806
[34,]  0.0001559836 0.0014920148
[35,]  0.0001096561 0.0014660528
[36,] -0.0003233883 0.0013648106
[37,] -0.0003829047 0.0013435377
[38,] -0.0007153388 0.0012805413
[39,] -0.0007704069 0.0012188695
[40,] -0.0009017453 0.0011667779
[41,] -0.0009685087 0.0011486485
[42,] -0.0007686769 0.0010940511
[43,] -0.0007155627 0.0010783350
[44,] -0.0004978572 0.0010398736
[45,] -0.0002228831 0.0009960587
[46,] -0.0002633731 0.0009823104
[47,] -0.0002571166 0.0009790877
> (tri <- trimean(x))
               [,1]        [,2]
 [1,]  0.0012678485 0.002756978
 [2,]  0.0011999582 0.002675444
 [3,]  0.0011833215 0.002597817
 [4,]  0.0011499462 0.002535283
 [5,]  0.0011139105 0.002472100
 [6,]  0.0010796959 0.002406953
 [7,]  0.0010377764 0.002353161
 [8,]  0.0010013796 0.002298191
 [9,]  0.0009622547 0.002240522
[10,]  0.0009280115 0.002184275
[11,]  0.0008739179 0.002138389
[12,]  0.0008413118 0.002094452
[13,]  0.0008028579 0.002047101
[14,]  0.0007787795 0.002001960
[15,]  0.0007293141 0.001957131
[16,]  0.0006908228 0.001912608
[17,]  0.0006101928 0.001873987
[18,]  0.0005298700 0.001834022
[19,]  0.0004241777 0.001802497
[20,]  0.0003046683 0.001769552
[21,]  0.0001841092 0.001736719
[22,]  0.0000895630 0.001707281
[23,] -0.0000288683 0.001677298
[24,] -0.0001406549 0.001646669
[25,] -0.0002642394 0.001615327
[26,] -0.0003755564 0.001584947
[27,] -0.0004274712 0.001565985
[28,] -0.0004943757 0.001547945
[29,] -0.0005490768 0.001531692
[30,] -0.0006054380 0.001513814
[31,] -0.0006675381 0.001493350
[32,] -0.0007315079 0.001470230
[33,] -0.0007856228 0.001446281
[34,] -0.0008480265 0.001419903
[35,] -0.0009066700 0.001390651
[36,] -0.0009660083 0.001359311
[37,] -0.0010035744 0.001335530
[38,] -0.0010399629 0.001309712
[39,] -0.0010590824 0.001287159
[40,] -0.0010761918 0.001268042
[41,] -0.0010866142 0.001251557
[42,] -0.0010937399 0.001233367
[43,] -0.0011135815 0.001218311
[44,] -0.0011382066 0.001201184
[45,] -0.0011784424 0.001184926
[46,] -0.0012395462 0.001170359
[47,] -0.0013032097 0.001153058
> (midr <- midrange(x))
[1] -0.007148532
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -0.001244529 -0.000906670 -0.000906670 -0.000906670 -0.000906670
[6] -0.001183803 -0.000906670 -0.000906670
> postscript(file="/var/www/html/rcomp/tmp/1ywcl1197309818.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/2v6dj1197309818.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/36nko1197309819.tab") 
> 
> system("convert tmp/1ywcl1197309818.ps tmp/1ywcl1197309818.png")
> system("convert tmp/2v6dj1197309818.ps tmp/2v6dj1197309818.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.253   0.350   1.365