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.

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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(3.88
+ ,3.98
+ ,3.29
+ ,2.88
+ ,3.22
+ ,3.62
+ ,3.82
+ ,3.54
+ ,2.53
+ ,2.22
+ ,2.85
+ ,2.78
+ ,2.28
+ ,2.26
+ ,2.71
+ ,2.77
+ ,2.77
+ ,2.64
+ ,2.56
+ ,2.07
+ ,2.32
+ ,2.16
+ ,2.23
+ ,2.4
+ ,2.84
+ ,2.77
+ ,2.93
+ ,2.91
+ ,2.69
+ ,2.38
+ ,2.58
+ ,3.19
+ ,2.82
+ ,2.72
+ ,2.53
+ ,2.7
+ ,2.42
+ ,2.5
+ ,2.31
+ ,2.41
+ ,2.56
+ ,2.76
+ ,2.71
+ ,2.44
+ ,2.46
+ ,2.12
+ ,1.99
+ ,1.86
+ ,1.88
+ ,1.82
+ ,1.74
+ ,1.71
+ ,1.38
+ ,1.27
+ ,1.19
+ ,1.28
+ ,1.19
+ ,1.22
+ ,1.47
+ ,1.46
+ ,1.96
+ ,1.88
+ ,2.03
+ ,2.04
+ ,1.9
+ ,1.8
+ ,1.92
+ ,1.92
+ ,1.97
+ ,2.46
+ ,2.36
+ ,2.53
+ ,2.31
+ ,1.98
+ ,1.46
+ ,1.26
+ ,1.58
+ ,1.74
+ ,1.89
+ ,1.85
+ ,1.62
+ ,1.3
+ ,1.42
+ ,1.15
+ ,0.42
+ ,0.74
+ ,1.02
+ ,1.51
+ ,1.86
+ ,1.59
+ ,1.03
+ ,0.44
+ ,0.82
+ ,0.86
+ ,0.58
+ ,0.59
+ ,0.95
+ ,0.98
+ ,1.23
+ ,1.17
+ ,0.84
+ ,0.74
+ ,0.65
+ ,0.91
+ ,1.19
+ ,1.3
+ ,1.53
+ ,1.94
+ ,1.79
+ ,1.95
+ ,2.26
+ ,2.04
+ ,2.16
+ ,2.75
+ ,2.79
+ ,2.88
+ ,3.36
+ ,2.97
+ ,3.1
+ ,2.49
+ ,2.2
+ ,2.25
+ ,2.09
+ ,2.79
+ ,3.14
+ ,2.93
+ ,2.65
+ ,2.67
+ ,2.26
+ ,2.35
+ ,2.13
+ ,2.18
+ ,2.9
+ ,2.63
+ ,2.67
+ ,1.81
+ ,1.33
+ ,0.88
+ ,1.28
+ ,1.26
+ ,1.26
+ ,1.29
+ ,1.1
+ ,1.37
+ ,1.21
+ ,1.74
+ ,1.76
+ ,1.48
+ ,1.04
+ ,1.62
+ ,1.49
+ ,1.79
+ ,1.8
+ ,1.58
+ ,1.86
+ ,1.74
+ ,1.59
+ ,1.26
+ ,1.13
+ ,1.92
+ ,2.61
+ ,2.26
+ ,2.41
+ ,2.26
+ ,2.03
+ ,2.86
+ ,2.55
+ ,2.27
+ ,2.26
+ ,2.57
+ ,3.07
+ ,2.76
+ ,2.51
+ ,2.87
+ ,3.14
+ ,3.11
+ ,3.16
+ ,2.47
+ ,2.57
+ ,2.89
+ ,2.63
+ ,2.38
+ ,1.69
+ ,1.96
+ ,2.19
+ ,1.87
+ ,1.6
+ ,1.63
+ ,1.22
+ ,1.21
+ ,1.49
+ ,1.64
+ ,1.66
+ ,1.77
+ ,1.82
+ ,1.78
+ ,1.28
+ ,1.29
+ ,1.37
+ ,1.12
+ ,1.51
+ ,2.24
+ ,2.94
+ ,3.09
+ ,3.46
+ ,3.64
+ ,4.39
+ ,4.15
+ ,5.21
+ ,5.8
+ ,5.91
+ ,5.39
+ ,5.46
+ ,4.72
+ ,3.14
+ ,2.63
+ ,2.32
+ ,1.93
+ ,0.62
+ ,0.6
+ ,-0.37
+ ,-1.1
+ ,-1.68
+ ,-0.78)
> ylimmax = ''
> ylimmin = ''
> main = 'Inflatie in Belgie'
> #'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] 2.109955
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.06821534
> (armose <- arm / armse)
[1] 30.9308
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 1.868509
> (qua <- quamean(x))
[1] 2.342991
> (win <- winmean(x))
          [,1]       [,2]
 [1,] 2.112054 0.06749476
 [2,] 2.111875 0.06619331
 [3,] 2.116429 0.06497140
 [4,] 2.127321 0.06216402
 [5,] 2.116830 0.05982238
 [6,] 2.111741 0.05771716
 [7,] 2.104554 0.05640554
 [8,] 2.098839 0.05540625
 [9,] 2.095625 0.05470915
[10,] 2.094286 0.05416081
[11,] 2.089866 0.05242297
[12,] 2.088795 0.05228158
[13,] 2.088795 0.05115439
[14,] 2.085045 0.05039160
[15,] 2.079687 0.04944468
[16,] 2.076116 0.04871732
[17,] 2.073080 0.04788579
[18,] 2.073884 0.04728235
[19,] 2.073884 0.04674595
[20,] 2.075670 0.04619024
[21,] 2.076607 0.04609447
[22,] 2.077589 0.04599479
[23,] 2.080670 0.04506517
[24,] 2.081741 0.04474781
[25,] 2.081741 0.04452693
[26,] 2.081741 0.04407104
[27,] 2.072098 0.04266711
[28,] 2.070848 0.04208062
[29,] 2.069554 0.04196114
[30,] 2.069554 0.04196114
[31,] 2.069554 0.04144925
[32,] 2.068125 0.04131982
[33,] 2.068125 0.04105033
[34,] 2.066607 0.04091454
[35,] 2.068170 0.04077002
[36,] 2.071384 0.04018611
[37,] 2.069732 0.04003941
[38,] 2.068036 0.03988978
[39,] 2.066295 0.03973724
[40,] 2.064509 0.03926498
[41,] 2.060848 0.03862967
[42,] 2.060848 0.03862967
[43,] 2.058929 0.03846775
[44,] 2.058929 0.03812503
[45,] 2.058929 0.03812503
[46,] 2.060982 0.03793981
[47,] 2.058884 0.03776455
[48,] 2.065313 0.03718988
[49,] 2.071875 0.03623850
[50,] 2.065179 0.03568196
[51,] 2.065179 0.03529646
[52,] 2.074464 0.03449721
[53,] 2.081562 0.03350518
[54,] 2.079152 0.03330627
[55,] 2.076696 0.03270006
[56,] 2.079196 0.03249269
[57,] 2.076652 0.03186965
[58,] 2.074063 0.03166143
[59,] 2.076696 0.03101681
[60,] 2.076696 0.03101681
[61,] 2.082143 0.03057314
[62,] 2.090446 0.02902199
[63,] 2.082009 0.02835094
[64,] 2.082009 0.02789995
[65,] 2.082009 0.02789995
[66,] 2.082009 0.02743674
[67,] 2.087991 0.02696832
[68,] 2.084955 0.02673077
[69,] 2.081875 0.02601234
[70,] 2.085000 0.02576962
[71,] 2.091339 0.02528164
[72,] 2.094554 0.02404983
[73,] 2.097813 0.02330850
[74,] 2.104420 0.02232005
> (tri <- trimean(x))
          [,1]       [,2]
 [1,] 2.109910 0.06442554
 [2,] 2.107727 0.06107482
 [3,] 2.105596 0.05818245
 [4,] 2.101852 0.05553383
 [5,] 2.095187 0.05355235
 [6,] 2.090613 0.05202869
 [7,] 2.086857 0.05085658
 [8,] 2.084135 0.04985534
 [9,] 2.082136 0.04895795
[10,] 2.080490 0.04810962
[11,] 2.078960 0.04728397
[12,] 2.077850 0.04663204
[13,] 2.076818 0.04595595
[14,] 2.075765 0.04536554
[15,] 2.075000 0.04481998
[16,] 2.074635 0.04433653
[17,] 2.074526 0.04389264
[18,] 2.074628 0.04349697
[19,] 2.074677 0.04312881
[20,] 2.074728 0.04278191
[21,] 2.074670 0.04245742
[22,] 2.074556 0.04211806
[23,] 2.074382 0.04176279
[24,] 2.074034 0.04145434
[25,] 2.073621 0.04114735
[26,] 2.073198 0.04083413
[27,] 2.072765 0.04053094
[28,] 2.072798 0.04030483
[29,] 2.072892 0.04010074
[30,] 2.073049 0.03988746
[31,] 2.073210 0.03965611
[32,] 2.073375 0.03943956
[33,] 2.073608 0.03921273
[34,] 2.073846 0.03898394
[35,] 2.074156 0.03874382
[36,] 2.074408 0.03849205
[37,] 2.074533 0.03825636
[38,] 2.074730 0.03800860
[39,] 2.075000 0.03774780
[40,] 2.075347 0.03747285
[41,] 2.075775 0.03720350
[42,] 2.076357 0.03695018
[43,] 2.076957 0.03667204
[44,] 2.077647 0.03637738
[45,] 2.078358 0.03607701
[46,] 2.079091 0.03574679
[47,] 2.079769 0.03539697
[48,] 2.080547 0.03502412
[49,] 2.081111 0.03465572
[50,] 2.081452 0.03431826
[51,] 2.082049 0.03398417
[52,] 2.082667 0.03364186
[53,] 2.082966 0.03332145
[54,] 2.083017 0.03303744
[55,] 2.083158 0.03273449
[56,] 2.083393 0.03244056
[57,] 2.083545 0.03212662
[58,] 2.083796 0.03182184
[59,] 2.084151 0.03149462
[60,] 2.084423 0.03117737
[61,] 2.084423 0.03081867
[62,] 2.084800 0.03045065
[63,] 2.084592 0.03016372
[64,] 2.084687 0.02989197
[65,] 2.084787 0.02961807
[66,] 2.084891 0.02930249
[67,] 2.085000 0.02898114
[68,] 2.084886 0.02865361
[69,] 2.084884 0.02829720
[70,] 2.085000 0.02795451
[71,] 2.085000 0.02757992
[72,] 2.084750 0.02719362
[73,] 2.084359 0.02687187
[74,] 2.083816 0.02656998
> (midr <- midrange(x))
[1] 2.115
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 2.083158 2.088584 2.083158 2.088584 2.088584 2.083158 2.088584 2.083158
> postscript(file="/var/www/html/rcomp/tmp/111np1255680603.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/2lzgb1255680603.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/3lt8x1255680603.tab") 
> 
> system("convert tmp/111np1255680603.ps tmp/111np1255680603.png")
> system("convert tmp/2lzgb1255680603.ps tmp/2lzgb1255680603.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.158   0.349   1.497