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(1772.2
+ ,1769.5
+ ,1768
+ ,1794.8
+ ,1823.4
+ ,1856.9
+ ,1866.9
+ ,1869.8
+ ,1843.8
+ ,1837.1
+ ,1857.7
+ ,1840.3
+ ,1914.6
+ ,1972.9
+ ,2050.1
+ ,2086.2
+ ,2112.5
+ ,2147.6
+ ,2190.4
+ ,2194.1
+ ,2216.2
+ ,2218.6
+ ,2233.5
+ ,2307.2
+ ,2350.4
+ ,2368.2
+ ,2353.8
+ ,2316.5
+ ,2305.5
+ ,2308.4
+ ,2334.4
+ ,2381.2
+ ,2449.7
+ ,2490.3
+ ,2523.5
+ ,2537.6
+ ,2526.1
+ ,2545.9
+ ,2542.7
+ ,2584.3
+ ,2600.2
+ ,2593.9
+ ,2618.9
+ ,2591.3
+ ,2521.2
+ ,2536.6
+ ,2596.1
+ ,2656.6
+ ,2710.3
+ ,2778.8
+ ,2775.5
+ ,2785.2
+ ,2847.7
+ ,2834.4
+ ,2839
+ ,2802.6
+ ,2819.3
+ ,2872
+ ,2918.4
+ ,2977.8
+ ,3031.2
+ ,3064.7
+ ,3093
+ ,3100.6
+ ,3141.1
+ ,3180.4
+ ,3240.3
+ ,3265
+ ,3338.2
+ ,3376.6
+ ,3422.5
+ ,3432
+ ,3516.3
+ ,3564
+ ,3636.3
+ ,3724
+ ,3815.4
+ ,3828.1
+ ,3853.3
+ ,3884.5
+ ,3918.7
+ ,3919.6
+ ,3950.8
+ ,3981
+ ,4063
+ ,4132
+ ,4160.3
+ ,4178.3
+ ,4244.1
+ ,4256.5
+ ,4283.4
+ ,4263.3
+ ,4256.6
+ ,4264.3
+ ,4302.3
+ ,4256.6
+ ,4374
+ ,4398.8
+ ,4433.9
+ ,4446.3
+ ,4525.8
+ ,4633.1
+ ,4677.5
+ ,4754.5
+ ,4876.2
+ ,4932.6
+ ,4906.3
+ ,4953.1
+ ,4909.6
+ ,4922.2
+ ,4873.5
+ ,4854.3
+ ,4795.3
+ ,4831.9
+ ,4913.3
+ ,4977.5
+ ,5090.7
+ ,5128.9
+ ,5154.1
+ ,5191.5
+ ,5251.8
+ ,5356.1
+ ,5451.9
+ ,5450.8
+ ,5469.4
+ ,5684.6
+ ,5740.3
+ ,5816.2
+ ,5825.9
+ ,5831.4
+ ,5873.3
+ ,5889.5
+ ,5908.5
+ ,5787.4
+ ,5776.6
+ ,5883.5
+ ,6005.7
+ ,5957.8
+ ,6030.2
+ ,5955.1
+ ,5857.3
+ ,5889.1
+ ,5866.4
+ ,5871
+ ,5944
+ ,6077.6
+ ,6197.5
+ ,6325.6
+ ,6448.3
+ ,6559.6
+ ,6623.3
+ ,6677.3
+ ,6740.3
+ ,6797.3
+ ,6903.5
+ ,6955.9
+ ,7022.8
+ ,7051
+ ,7119
+ ,7153.4
+ ,7193
+ ,7269.5
+ ,7332.6
+ ,7458
+ ,7496.6
+ ,7592.9
+ ,7632.1
+ ,7734
+ ,7806.6
+ ,7865
+ ,7927.4
+ ,7944.7
+ ,8027.7
+ ,8059.6
+ ,8059.5
+ ,7988.9
+ ,7950.2
+ ,8003.8
+ ,8037.5
+ ,8069
+ ,8157.6
+ ,8244.3
+ ,8329.4
+ ,8417
+ ,8432.5
+ ,8486.4
+ ,8531.1
+ ,8643.8
+ ,8727.9
+ ,8847.3
+ ,8904.3
+ ,9003.2
+ ,9025.3
+ ,9044.7
+ ,9120.7
+ ,9184.3
+ ,9247.2
+ ,9407.1
+ ,9488.9
+ ,9592.5
+ ,9666.2
+ ,9809.6
+ ,9932.7
+ ,10008.9
+ ,10103.4
+ ,10194.3
+ ,10328.8
+ ,10507.6
+ ,10601.2
+ ,10684
+ ,10819.9
+ ,11014.3
+ ,11043
+ ,11258.5
+ ,11267.9
+ ,11334.5
+ ,11297.2
+ ,11371.3
+ ,11340.1
+ ,11380.1
+ ,11477.9
+ ,11538.8
+ ,11596.4
+ ,11598.8
+ ,11645.8
+ ,11738.7
+ ,11935.5
+ ,12042.8
+ ,12127.6
+ ,12213.8
+ ,12303.5
+ ,12410.3
+ ,12534.1
+ ,12587.5
+ ,12683.2
+ ,12748.7
+ ,12915.9
+ ,12962.5
+ ,12965.9
+ ,13060.7
+ ,13099.9
+ ,13204
+ ,13321.1
+ ,13391.2
+ ,13366.9
+ ,13415.3
+ ,13324.6
+ ,13141.9
+ ,12925.4
+ ,12901.5
+ ,12973
+ ,13155)
> 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] 6294.499
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 221.5596
> (armose <- arm / armse)
[1] 28.40996
> (geo <- geomean(x))
[1] 5314.977
> (har <- harmean(x))
[1] 4444.259
> (qua <- quamean(x))
[1] 7207.078
> (win <- winmean(x))
          [,1]     [,2]
 [1,] 6294.410 221.5469
 [2,] 6294.238 221.5206
 [3,] 6294.004 221.4349
 [4,] 6294.402 221.3912
 [5,] 6292.350 221.0778
 [6,] 6291.260 220.9268
 [7,] 6290.993 220.8740
 [8,] 6290.076 220.6763
 [9,] 6288.704 220.5023
[10,] 6285.589 220.0495
[11,] 6285.406 220.0019
[12,] 6287.377 219.8125
[13,] 6288.471 219.3443
[14,] 6292.232 218.9470
[15,] 6293.524 218.6785
[16,] 6285.492 217.3920
[17,] 6283.441 216.6898
[18,] 6279.663 215.6576
[19,] 6275.915 215.1687
[20,] 6267.844 213.9049
[21,] 6259.144 212.8773
[22,] 6252.614 211.8972
[23,] 6251.318 210.5251
[24,] 6243.404 209.6189
[25,] 6232.878 208.4432
[26,] 6213.409 206.1898
[27,] 6205.373 204.9878
[28,] 6201.929 204.3033
[29,] 6202.044 204.2449
[30,] 6196.901 203.3967
[31,] 6191.008 202.4952
[32,] 6187.288 200.5598
[33,] 6191.452 200.0476
[34,] 6191.412 199.3073
[35,] 6190.953 199.2038
[36,] 6185.996 198.6294
[37,] 6183.236 198.0757
[38,] 6181.969 197.9198
[39,] 6149.407 194.4856
[40,] 6145.360 193.9920
[41,] 6119.979 190.3931
[42,] 6098.495 188.0927
[43,] 6084.810 186.6927
[44,] 6068.852 185.0957
[45,] 6037.655 182.0159
[46,] 6016.517 179.4671
[47,] 6006.595 177.3711
[48,] 5998.823 174.9532
[49,] 5996.685 172.6579
[50,] 5972.915 170.4044
[51,] 5945.188 167.7231
[52,] 5933.571 166.1141
[53,] 5915.294 163.9479
[54,] 5901.002 162.1884
[55,] 5867.107 159.1328
[56,] 5855.062 157.8072
[57,] 5846.173 156.1847
[58,] 5839.360 153.9196
[59,] 5848.725 152.4954
[60,] 5856.178 151.1084
[61,] 5840.347 148.5275
[62,] 5833.286 146.8599
[63,] 5805.336 144.2935
[64,] 5794.263 141.8093
[65,] 5775.330 138.7399
[66,] 5779.311 136.6494
[67,] 5771.548 135.0355
[68,] 5787.117 133.2533
[69,] 5773.646 130.6059
[70,] 5762.757 127.8392
[71,] 5741.006 125.7640
[72,] 5739.778 122.0779
[73,] 5750.873 120.8715
[74,] 5772.074 119.3471
[75,] 5791.628 116.9973
[76,] 5816.237 114.8438
[77,] 5812.815 114.0148
[78,] 5816.003 113.1218
[79,] 5813.652 111.5194
[80,] 5822.763 110.6397
[81,] 5817.492 110.1953
[82,] 5807.339 107.9538
[83,] 5798.051 105.8151
[84,] 5801.185 102.1257
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 6284.122 220.7593
 [2,] 6273.669 219.9267
 [3,] 6263.133 219.0606
 [4,] 6252.505 218.1763
 [5,] 6241.598 217.2534
 [6,] 6230.940 216.3489
 [7,] 6220.296 215.4212
 [8,] 6209.511 214.4485
 [9,] 6198.666 213.4492
[10,] 6187.800 212.4157
[11,] 6177.085 211.3792
[12,] 6166.201 210.2874
[13,] 6154.942 209.1513
[14,] 6143.386 207.9959
[15,] 6131.318 206.8092
[16,] 6118.931 205.5756
[17,] 6106.897 204.3845
[18,] 6094.781 203.1809
[19,] 6082.686 201.9891
[20,] 6070.598 200.7628
[21,] 6058.763 199.5596
[22,] 6047.202 198.3597
[23,] 6035.781 197.1564
[24,] 6024.204 195.9736
[25,] 6012.810 194.7787
[26,] 6001.719 193.5884
[27,] 5991.357 192.4755
[28,] 5981.165 191.3680
[29,] 5970.924 190.2294
[30,] 5960.464 189.0152
[31,] 5950.011 187.7721
[32,] 5939.590 186.5007
[33,] 5929.103 185.2616
[34,] 5918.215 183.9637
[35,] 5907.089 182.6178
[36,] 5895.734 181.1802
[37,] 5884.320 179.6748
[38,] 5872.752 178.0937
[39,] 5860.967 176.4055
[40,] 5850.131 174.8167
[41,] 5839.191 173.1397
[42,] 5828.918 171.5665
[43,] 5819.174 170.0204
[44,] 5809.682 168.4438
[45,] 5800.519 166.8465
[46,] 5792.219 165.3216
[47,] 5784.442 163.8360
[48,] 5776.807 162.3599
[49,] 5769.238 160.9115
[50,] 5761.543 159.4821
[51,] 5754.441 158.0760
[52,] 5748.072 156.7208
[53,] 5741.915 155.3483
[54,] 5736.190 153.9923
[55,] 5730.774 152.6267
[56,] 5726.312 151.3354
[57,] 5722.114 150.0086
[58,] 5718.081 148.6611
[59,] 5714.149 147.3309
[60,] 5709.794 145.9607
[61,] 5705.065 144.5437
[62,] 5700.698 143.1603
[63,] 5696.421 141.7489
[64,] 5692.908 140.3723
[65,] 5689.637 139.0229
[66,] 5686.868 137.7438
[67,] 5683.877 136.4677
[68,] 5681.034 135.1628
[69,] 5677.586 133.8329
[70,] 5674.454 132.5442
[71,] 5671.564 131.3078
[72,] 5669.281 130.0784
[73,] 5666.954 128.9732
[74,] 5664.168 127.8117
[75,] 5660.566 126.6086
[76,] 5656.162 125.4230
[77,] 5650.746 124.2358
[78,] 5645.221 122.9476
[79,] 5639.351 121.5472
[80,] 5633.308 120.0857
[81,] 5626.677 118.4811
[82,] 5619.931 116.6804
[83,] 5613.234 114.8370
[84,] 5606.554 112.9344
> (midr <- midrange(x))
[1] 7591.65
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 5675.922 5696.421 5675.922 5696.421 5696.421 5675.922 5696.421 5700.698
> postscript(file="/var/www/html/rcomp/tmp/1c52c1268594319.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/2257t1268594319.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/3kt521268594319.tab") 
> 
> try(system("convert tmp/1c52c1268594319.ps tmp/1c52c1268594319.png",intern=TRUE))
character(0)
> try(system("convert tmp/2257t1268594319.ps tmp/2257t1268594319.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.280   0.357   1.428