R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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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(283.9
+ ,340.5
+ ,383
+ ,335.4
+ ,356
+ ,431
+ ,441.9
+ ,262.3
+ ,481.1
+ ,442.8
+ ,458.4
+ ,472.7
+ ,498.8
+ ,463.3
+ ,538.3
+ ,494.2
+ ,446.2
+ ,497.5
+ ,433.2
+ ,359.4
+ ,455.9
+ ,483
+ ,469.7
+ ,423.8
+ ,371
+ ,435.7
+ ,438.1
+ ,364.5
+ ,392.7
+ ,405.1
+ ,391.4
+ ,282.8
+ ,408
+ ,480.9
+ ,416.9
+ ,350.7
+ ,399.9
+ ,438.1
+ ,454.9
+ ,407.7
+ ,485
+ ,494
+ ,521.2
+ ,333
+ ,520.3
+ ,570.5
+ ,501.8
+ ,408.4
+ ,512.7
+ ,596.9
+ ,581.5
+ ,605.7
+ ,581.1
+ ,538.3
+ ,731.4
+ ,457.7
+ ,706.3
+ ,708.5
+ ,683.5
+ ,722.1
+ ,727.7
+ ,674.4
+ ,675.3
+ ,628.7
+ ,658.3
+ ,786
+ ,736.9
+ ,567.3
+ ,736.3
+ ,719.6
+ ,676.8
+ ,589.5
+ ,596.5
+ ,661
+ ,840.9
+ ,683.1
+ ,677.4
+ ,780.2
+ ,928.8
+ ,557.5
+ ,760.6
+ ,847
+ ,719
+ ,699.8
+ ,745.4
+ ,871.5
+ ,1199.8
+ ,795.4
+ ,1054.4
+ ,753.7
+ ,1093.8
+ ,768.4
+ ,1405.7
+ ,1149.2
+ ,1086.8
+ ,994.4
+ ,958.8
+ ,1096.3
+ ,1107.4
+ ,862.4
+ ,983
+ ,1021.1
+ ,1036.3
+ ,684.5
+ ,874.1
+ ,1031.6
+ ,1126.3
+ ,1041.9
+ ,1419.4
+ ,1402.2
+ ,1503.6
+ ,1503.6
+ ,1571.2
+ ,1351.2
+ ,1448.3
+ ,1292.9
+ ,1293.7
+ ,1824.7
+ ,1641.4
+ ,1529.1
+ ,1417
+ ,1060
+ ,1117
+ ,1226.2
+ ,1124
+ ,1246
+ ,1398.1
+ ,1095.2
+ ,1507.1
+ ,1467
+ ,1262.1
+ ,1262.9
+ ,1184.9
+ ,1412.9
+ ,1581.8
+ ,1348.8
+ ,1443.7
+ ,1628.7
+ ,1393.2
+ ,1108.1
+ ,1074.8
+ ,1323.5
+ ,1367
+ ,1190.7
+ ,1149.2
+ ,1281.9
+ ,1406.8
+ ,1392.4
+ ,1674.5
+ ,1529.8
+ ,1180.9
+ ,1282.8
+ ,1524.2
+ ,1524.6
+ ,1520.1
+ ,1881.9
+ ,1375.2
+ ,1336.5
+ ,1653.9
+ ,1404.3
+ ,1731.4
+ ,1330.8
+ ,1616.3
+ ,1503.7
+ ,1476.7
+ ,1565.6
+ ,1581.8
+ ,1407.7
+ ,1393.7
+ ,1662.4
+ ,1929
+ ,1352.8
+ ,1339.8
+ ,1251.2
+ ,1491.7
+ ,1540.7
+ ,1383.7
+ ,1827.5
+ ,1591.3
+ ,1289.2
+ ,1291.9
+ ,1368.3
+ ,1264.6
+ ,1448.8
+ ,1239.2
+ ,1280.9
+ ,1269.4
+ ,1068.5)
> 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: 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] 964.1543
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 32.27423
> (armose <- arm / armse)
[1] 29.87381
> (geo <- geomean(x))
[1] 853.3758
> (har <- harmean(x))
[1] 744.1272
> (qua <- quamean(x))
[1] 1060.367
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 964.0128 32.22262
 [2,] 963.4457 32.13561
 [3,] 964.1846 32.04362
 [4,] 962.2505 31.76712
 [5,] 960.8729 31.56336
 [6,] 960.8122 31.48303
 [7,] 960.6931 31.42513
 [8,] 960.3059 31.34800
 [9,] 959.9420 31.25294
[10,] 959.6282 31.14293
[11,] 958.8676 30.90997
[12,] 958.7973 30.79086
[13,] 958.8872 30.78201
[14,] 958.6340 30.64460
[15,] 958.6021 30.55667
[16,] 956.7043 30.31350
[17,] 955.7457 30.21002
[18,] 955.7170 30.19950
[19,] 956.1213 30.07061
[20,] 956.8128 29.99624
[21,] 957.1590 29.87391
[22,] 955.8952 29.69752
[23,] 955.7851 29.62756
[24,] 956.0787 29.59758
[25,] 956.0787 29.59758
[26,] 954.9585 29.38668
[27,] 952.9335 29.16595
[28,] 951.9952 28.98062
[29,] 950.5298 28.59156
[30,] 950.6096 28.56934
[31,] 950.1479 28.47139
[32,] 946.1309 28.08221
[33,] 946.5697 27.96459
[34,] 946.9856 27.79137
[35,] 946.5761 27.65358
[36,] 947.9739 27.49493
[37,] 947.7968 27.47205
[38,] 947.8979 27.41198
[39,] 947.8771 27.33563
[40,] 948.9197 27.08549
[41,] 948.0037 26.99666
[42,] 948.6293 26.92063
[43,] 948.7436 26.87784
[44,] 947.4096 26.63596
[45,] 947.9840 26.22573
[46,] 948.1553 25.91439
[47,] 948.0553 25.86637
[48,] 948.7957 25.17069
[49,] 948.3787 25.13492
[50,] 952.8468 24.63827
[51,] 953.0638 24.20167
[52,] 953.0362 24.04838
[53,] 954.4176 23.65833
[54,] 952.4356 23.47080
[55,] 946.0580 22.54477
[56,] 947.9048 22.34927
[57,] 947.7229 22.31406
[58,] 949.6048 22.01784
[59,] 954.8144 21.25447
[60,] 963.9739 20.46568
[61,] 964.5255 20.36883
[62,] 965.1521 19.70428
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 962.7403 31.98168
 [2,] 961.4402 31.72405
 [3,] 961.4402 31.49615
 [4,] 959.0883 31.28618
 [5,] 958.2534 31.14042
 [6,] 958.2534 31.03072
 [7,] 957.1322 30.92724
 [8,] 956.5762 30.82432
 [9,] 956.0606 30.72385
[10,] 955.5780 30.62730
[11,] 955.1193 30.53561
[12,] 955.1193 30.46292
[13,] 954.3352 30.39526
[14,] 953.9238 30.32013
[15,] 953.5234 30.25015
[16,] 953.1154 30.17993
[17,] 952.8416 30.12373
[18,] 952.6303 30.06858
[19,] 952.4153 30.00584
[20,] 952.1676 29.94499
[21,] 951.8685 29.88108
[22,] 951.5396 29.81753
[23,] 951.2775 29.75838
[24,] 951.2775 29.69501
[25,] 950.7268 29.62374
[26,] 950.4309 29.54152
[27,] 950.1866 29.46347
[28,] 950.0417 29.39020
[29,] 949.9408 29.31889
[30,] 949.9109 29.26419
[31,] 949.9109 29.20000
[32,] 949.8629 29.13089
[33,] 950.0426 29.07714
[34,] 950.2075 29.01995
[35,] 950.3585 28.96275
[36,] 950.5336 28.90261
[37,] 950.6509 28.84058
[38,] 950.7804 28.76622
[39,] 950.9100 28.68093
[40,] 951.0454 28.58463
[41,] 951.1396 28.48912
[42,] 951.2779 28.38177
[43,] 951.3941 28.26019
[44,] 951.5100 28.11995
[45,] 951.6888 27.97465
[46,] 951.8500 27.83712
[47,] 952.0106 27.69963
[48,] 952.0106 27.53977
[49,] 952.3300 27.40973
[50,] 952.5023 27.25546
[51,] 952.5023 27.11444
[52,] 952.4619 26.98217
[53,] 952.4366 26.83354
[54,] 952.3487 26.68809
[55,] 952.3449 26.52654
[56,] 952.6276 26.41763
[57,] 952.8419 26.29597
[58,] 953.0764 26.14253
[59,] 953.2371 25.97998
[60,] 953.1632 25.85720
[61,] 952.6500 25.77963
[62,] 952.6500 25.67665
> (midr <- midrange(x))
[1] 1095.65
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 947.4663 952.0106 947.4663 952.0106 952.0106 947.4663 952.0106 951.8500
> postscript(file="/var/www/html/rcomp/tmp/1cc0u1228233790.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/23ih31228233790.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/33j0g1228233791.tab") 
> 
> system("convert tmp/1cc0u1228233790.ps tmp/1cc0u1228233790.png")
> system("convert tmp/23ih31228233790.ps tmp/23ih31228233790.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.603   0.590   2.695