R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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.

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Type 'contributors()' for more information and
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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(-28205.97837
+ ,-53575.97509
+ ,-10734.10365
+ ,-28203.33237
+ ,-12632.63316
+ ,-49816.6061
+ ,128260.4167
+ ,-24410.76654
+ ,-13726.68326
+ ,15932.90644
+ ,-3370.04581
+ ,-48240.11541
+ ,-18597.64035
+ ,170.9164267
+ ,-593.6191667
+ ,28581.11289
+ ,-10862.81869
+ ,56745.20595
+ ,-43326.26972
+ ,-28314.27258
+ ,-10527.5927
+ ,112650.5268
+ ,3835.427347
+ ,-67833.84014
+ ,-30399.44013
+ ,2129.846585
+ ,27214.00211
+ ,-2323.270518
+ ,-378.5910857
+ ,20926.1108
+ ,20499.3727
+ ,-40978.72116
+ ,17743.14774
+ ,-22915.10356
+ ,37187.6772
+ ,45371.96532
+ ,85466.19006
+ ,4922.152679
+ ,21691.73737
+ ,44977.99426
+ ,66997.89787
+ ,-23361.61903
+ ,3531.592198
+ ,-23771.30324
+ ,2125.131416
+ ,148668.6976
+ ,-18965.08258
+ ,-21764.15738
+ ,29919.60747
+ ,-36003.53677
+ ,-15211.26432
+ ,207.4763478
+ ,46102.30746
+ ,-15373.87645
+ ,21286.84469
+ ,29228.8055
+ ,-12389.70578
+ ,-40668.40972
+ ,-4430.810792
+ ,20596.02624
+ ,49755.73325
+ ,19229.70659
+ ,10811.52545
+ ,23291.1477
+ ,-5366.322956
+ ,-3.80539097
+ ,-32629.69244
+ ,-12502.94656
+ ,-31685.13626
+ ,-35310.30862
+ ,-19361.64567
+ ,-17022.24096
+ ,-15481.29004
+ ,-2988.376826
+ ,-55745.84757
+ ,27951.11689
+ ,38171.43778
+ ,-30073.95166
+ ,-47615.53195
+ ,-11612.6142
+ ,3218.025406
+ ,101842.9026
+ ,26171.54851
+ ,-43604.84933
+ ,448.3626342
+ ,11495.27867
+ ,-59640.42044
+ ,81817.93506
+ ,43729.61588
+ ,-74050.8687
+ ,14335.2942
+ ,-46944.19132
+ ,-9615.056132
+ ,21970.60282
+ ,32397.97398
+ ,-5936.788519
+ ,-42154.70614
+ ,-18050.88949
+ ,-5920.334193
+ ,7318.700408
+ ,44.02752798
+ ,-28349.88514
+ ,22066.43591
+ ,-61260.59918
+ ,27731.54205
+ ,-53561.10647
+ ,-1597.746573
+ ,15142.77311
+ ,-47923.03942
+ ,-21820.33291
+ ,17663.79566
+ ,-17911.80513
+ ,4690.44137
+ ,-16477.17596
+ ,-131.6358949
+ ,-39408.41099
+ ,31845.05861
+ ,9834.410265
+ ,53462.98908
+ ,-24998.75087
+ ,33892.1052
+ ,-18094.48821
+ ,-24353.38737
+ ,-30618.84295
+ ,-4297.236256
+ ,-25909.32575
+ ,-10037.17545
+ ,-59422.20557
+ ,51539.52667
+ ,-792.4269494
+ ,-1244.156816
+ ,7468.84447
+ ,-14060.2665
+ ,32263.31756
+ ,53907.47149
+ ,-30118.14216
+ ,54202.49053
+ ,-28578.95619
+ ,2426.764874
+ ,-31463.24786
+ ,7944.278771
+ ,101122.8747
+ ,-53265.06565
+ ,86069.11802
+ ,28256.20668
+ ,-80876.21826
+ ,-14505.98303
+ ,-39679.02793
+ ,-8865.163215
+ ,2040.919633
+ ,-8167.690543
+ ,-7810.690543
+ ,-8332.298618
+ ,-8265.690543
+ ,4012.527536
+ ,7221.684806
+ ,-8265.690543
+ ,-8062.690543
+ ,-5547.8152
+ ,14800.55903
+ ,3538.264049
+ ,-5340.524358
+ ,-7296.690543
+ ,11820.15553)
> 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] 3.171344e-07
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 2931.519
> (armose <- arm / armse)
[1] 1.081809e-10
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] -677.6357
> (qua <- quamean(x))
[1] 37427.13
> (win <- winmean(x))
             [,1]      [,2]
 [1,]   -82.82275 2888.3886
 [2,]  -197.36984 2827.5856
 [3,]  -274.82807 2763.9879
 [4,]  -252.87317 2754.7273
 [5,]  -705.17628 2655.9238
 [6,]  -592.73371 2633.7391
 [7,]  -655.83541 2591.1716
 [8,] -1378.03875 2458.5895
 [9,] -1924.44034 2365.5454
[10,] -1869.21204 2314.8611
[11,] -1783.25967 2298.6458
[12,] -1792.58209 2290.9512
[13,] -1920.67608 2265.6198
[14,] -2015.64156 2236.7081
[15,] -2044.36874 2153.1293
[16,] -2088.44313 2140.1792
[17,] -2007.83903 2120.3936
[18,] -2015.78465 2086.9778
[19,] -2623.76920 1999.1526
[20,] -2623.08368 1970.2011
[21,] -3010.42549 1915.0646
[22,] -2754.10631 1839.4857
[23,] -2675.77003 1826.5516
[24,] -2344.69336 1777.3312
[25,] -2494.22003 1728.1304
[26,] -2568.55999 1711.9453
[27,] -2536.17443 1685.5279
[28,] -2554.18720 1675.4332
[29,] -2558.39429 1664.2937
[30,] -2590.47679 1658.9617
[31,] -2405.71386 1619.6156
[32,] -2564.42265 1592.5093
[33,] -3136.84955 1528.9520
[34,] -3368.30198 1500.0063
[35,] -3388.18946 1497.8230
[36,] -2945.84140 1441.2124
[37,] -2831.75456 1411.6976
[38,] -2779.09898 1389.8771
[39,] -2843.94965 1380.3779
[40,] -2725.55194 1364.4153
[41,] -2940.54742 1321.8069
[42,] -3206.89999 1272.1277
[43,] -2940.66219 1243.0010
[44,] -3389.97562 1194.9286
[45,] -2947.55473 1112.3831
[46,] -2932.31049 1092.7758
[47,] -2960.34502 1070.0677
[48,] -3549.21912  985.0151
[49,] -3633.25954  974.5658
[50,] -3799.31712  950.9589
[51,] -3826.54335  897.3705
[52,] -4253.02785  826.5878
[53,] -4084.83312  783.7224
[54,] -4098.90291  776.1020
> (tri <- trimean(x))
            [,1]      [,2]
 [1,]  -418.4721 2776.4518
 [2,]  -762.5127 2653.0138
 [3,] -1055.8146 2553.0280
 [4,] -1329.4937 2469.4985
 [5,] -1616.1264 2380.7664
 [6,] -1812.6999 2310.3798
 [7,] -2035.0048 2238.3743
 [8,] -2253.3290 2168.2939
 [9,] -2376.2293 2116.7547
[10,] -2433.4001 2076.2687
[11,] -2498.5599 2039.9135
[12,] -2574.7347 2002.5902
[13,] -2652.1943 1962.8980
[14,] -2720.0500 1922.8751
[15,] -2781.6294 1882.7600
[16,] -2842.6955 1849.0092
[17,] -2902.1654 1813.5261
[18,] -2969.5686 1776.8021
[19,] -3038.5372 1740.1788
[20,] -3067.4089 1709.6502
[21,] -3097.2734 1679.0899
[22,] -3102.9254 1651.1693
[23,] -3124.9618 1627.9644
[24,] -3152.5733 1603.5307
[25,] -3200.9988 1581.1949
[26,] -3242.3959 1561.1405
[27,] -3281.0354 1540.3337
[28,] -3322.9274 1519.6039
[29,] -3365.4050 1497.3621
[30,] -3409.2876 1473.4983
[31,] -3453.1715 1447.2177
[32,] -3508.5854 1421.5095
[33,] -3557.9613 1395.2892
[34,] -3579.7613 1372.2177
[35,] -3590.6121 1348.9958
[36,] -3600.9218 1322.8047
[37,] -3634.0802 1298.8013
[38,] -3674.4922 1274.4117
[39,] -3719.4263 1248.7447
[40,] -3763.2535 1220.2737
[41,] -3815.1386 1189.1665
[42,] -3858.8682 1158.2998
[43,] -3891.5064 1128.5514
[44,] -3939.2232 1097.2985
[45,] -3966.8880 1067.0313
[46,] -4018.4839 1041.7825
[47,] -4018.4839 1014.4236
[48,] -4130.9407  984.9926
[49,] -4161.0551  962.0782
[50,] -4188.6566  936.0377
[51,] -4209.2539  908.1782
[52,] -4229.7652  882.6521
[53,] -4228.5003  862.5638
[54,] -4236.4388  844.4358
> (midr <- midrange(x))
[1] 33896.24
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] -4055.574 -3815.139 -4055.574 -3815.139 -3815.139 -4055.574 -3815.139
[8] -3763.254
> postscript(file="/var/wessaorg/rcomp/tmp/1ysg41321547877.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/2k77d1321547877.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/3q4il1321547877.tab") 
> 
> try(system("convert tmp/1ysg41321547877.ps tmp/1ysg41321547877.png",intern=TRUE))
character(0)
> try(system("convert tmp/2k77d1321547877.ps tmp/2k77d1321547877.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.005   0.169   1.169