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
'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(93.2
+ ,96
+ ,95.2
+ ,77.1
+ ,70.9
+ ,64.8
+ ,70.1
+ ,77.3
+ ,79.5
+ ,100.6
+ ,100.7
+ ,107.1
+ ,95.9
+ ,82.8
+ ,83.3
+ ,80
+ ,80.4
+ ,67.5
+ ,75.7
+ ,71.1
+ ,89.3
+ ,101.1
+ ,105.2
+ ,114.1
+ ,96.3
+ ,84.4
+ ,91.2
+ ,81.9
+ ,80.5
+ ,70.4
+ ,74.8
+ ,75.9
+ ,86.3
+ ,98.7
+ ,100.9
+ ,113.8
+ ,89.8
+ ,84.4
+ ,87.2
+ ,85.6
+ ,72
+ ,69.2
+ ,77.5
+ ,78.1
+ ,94.3
+ ,97.7
+ ,100.2
+ ,116.4
+ ,97.1
+ ,93
+ ,96
+ ,80.5
+ ,76.1
+ ,69.9
+ ,73.6
+ ,92.6
+ ,94.2
+ ,93.5
+ ,108.5
+ ,109.4
+ ,105.1
+ ,92.5
+ ,97.1
+ ,81.4
+ ,79.1
+ ,72.1
+ ,78.7
+ ,87.1
+ ,91.4
+ ,109.9
+ ,116.3
+ ,113
+ ,100
+ ,84.8
+ ,94.3
+ ,87.1
+ ,90.3
+ ,72.4
+ ,84.9
+ ,92.7
+ ,92.2
+ ,114.9
+ ,112.5
+ ,118.3
+ ,106
+ ,91.2
+ ,96.6
+ ,96.3
+ ,88.2
+ ,70.2
+ ,86.5
+ ,88.2
+ ,102.8
+ ,119.1
+ ,119.2
+ ,125.1
+ ,106.1
+ ,102.1
+ ,105.2
+ ,101
+ ,84.3
+ ,87.5
+ ,92.7
+ ,94.4
+ ,113
+ ,113.9
+ ,122.9
+ ,132.7
+ ,106.9
+ ,96.6
+ ,127.3
+ ,98.2
+ ,100.2
+ ,89.4
+ ,95.3
+ ,104.2
+ ,106.4
+ ,116.2
+ ,135.9
+ ,134
+ ,104.6
+ ,107.1
+ ,123.5
+ ,98.8
+ ,98.6
+ ,90.6
+ ,89.1
+ ,105.2
+ ,114
+ ,122.1
+ ,138
+ ,142.2
+ ,116.4
+ ,112.6
+ ,123.8
+ ,103.6
+ ,113.9
+ ,98.6
+ ,95
+ ,116
+ ,113.9
+ ,127.5
+ ,131.4
+ ,145.9
+ ,131.5
+ ,131
+ ,130.5
+ ,118.9
+ ,114.3
+ ,85.7
+ ,104.6
+ ,105.1
+ ,117.3
+ ,142.5
+ ,140
+ ,159.8
+ ,131.2
+ ,125.4
+ ,126.5
+ ,119.4
+ ,113.5
+ ,98.7
+ ,114.5
+ ,113.8
+ ,133.1
+ ,143.4
+ ,137.3
+ ,165.2
+ ,126.9
+ ,124
+ ,135.7
+ ,130
+ ,109.4
+ ,117.8
+ ,120.3
+ ,121
+ ,132.3
+ ,142.9
+ ,147.4
+ ,175.9
+ ,132.6
+ ,123.7
+ ,153.3
+ ,134
+ ,119.6
+ ,116.2
+ ,118.6
+ ,130.7
+ ,129.3
+ ,144.4
+ ,163.2
+ ,179.4
+ ,128.1
+ ,138.4
+ ,152.7
+ ,120
+ ,140.5
+ ,116.2
+ ,121.4
+ ,127.8
+ ,143.6
+ ,157.6
+ ,166.2
+ ,182.3
+ ,153.1
+ ,147.6
+ ,157.7
+ ,137.2
+ ,151.5
+ ,98.7
+ ,145.8
+ ,151.7
+ ,129.4
+ ,174.1
+ ,197
+ ,193.9
+ ,164.1
+ ,142.8
+ ,157.9
+ ,159.2
+ ,162.2
+ ,123.1
+ ,130
+ ,150.1
+ ,169.4
+ ,179.7
+ ,182.1
+ ,194.3
+ ,161.4
+ ,169.4
+ ,168.8
+ ,158.1
+ ,158.5
+ ,135.3
+ ,149.3
+ ,143.4
+ ,142.2
+ ,188.4
+ ,166.2
+ ,199.2
+ ,182.7
+ ,145.2
+ ,182.1
+ ,158.7
+ ,141.6
+ ,132.6
+ ,139.6
+ ,147
+ ,166.6
+ ,157
+ ,180.4
+ ,210.2
+ ,159.8
+ ,157.8
+ ,168.2
+ ,158.4
+ ,152
+ ,142.2
+ ,137.2
+ ,152.6
+ ,166.8
+ ,165.6
+ ,198.6
+ ,201.5
+ ,170.7
+ ,164.4
+ ,179.7
+ ,157
+ ,168
+ ,139.3
+ ,138.6
+ ,153.4
+ ,138.9
+ ,172.1
+ ,198.4
+ ,217.8
+ ,173.7
+ ,153.8
+ ,175.6
+ ,147.1
+ ,160.3
+ ,135.2
+ ,148.8
+ ,151
+ ,148.2
+ ,182.2
+ ,189.2
+ ,183.1
+ ,170
+ ,158.4
+ ,176.1
+ ,156.2
+ ,153.2
+ ,117.9
+ ,149.8
+ ,156.6
+ ,166.7
+ ,156.8
+ ,158.6
+ ,210.8
+ ,203.6
+ ,175.2
+ ,168.7
+ ,155.9
+ ,147.3
+ ,137
+ ,141.1
+ ,167.4
+ ,160.2
+ ,191.9
+ ,174.4
+ ,208.2
+ ,159.4
+ ,161.1
+ ,172.1
+ ,158.4
+ ,114.6
+ ,159.6
+ ,159.7
+ ,159.4
+ ,160.7
+ ,165.5
+ ,205
+ ,205.2
+ ,141.6
+ ,148.1
+ ,184.9
+ ,132.5
+ ,137.3
+ ,135.5
+ ,121.7
+ ,166.1
+ ,146.8
+ ,162.8
+ ,186.8
+ ,185.5
+ ,151.5
+ ,158.1
+ ,143
+ ,151.2
+ ,147.6
+ ,130.7
+ ,137.5
+ ,146.1
+ ,133.6
+ ,167.9
+ ,181.9
+ ,202
+ ,166.5
+ ,151.3
+ ,146.2
+ ,148.3
+ ,144.7
+ ,123.6
+ ,151.6
+ ,133.9
+ ,137.4
+ ,181.6
+ ,182
+ ,190
+ ,161.2
+ ,155.5
+ ,141.9
+ ,164.6
+ ,136.2
+ ,126.8
+ ,152.5
+ ,126.6
+ ,150.1
+ ,186.3
+ ,147.5
+ ,200.4
+ ,177.2
+ ,127.4
+ ,177.1
+ ,154.4
+ ,135.2
+ ,126.4
+ ,147.3
+ ,140.6
+ ,152.3
+ ,151.2
+ ,172.2
+ ,215.3
+ ,154.1
+ ,159.3
+ ,160.4
+ ,151.9
+ ,148.4
+ ,139.6
+ ,148.2
+ ,153.5
+ ,145.1
+ ,183.7
+ ,210.5
+ ,203.3
+ ,153.3
+ ,144.3
+ ,169.6
+ ,143.7
+ ,160.1
+ ,135.6
+ ,141.8
+ ,159.9
+ ,145.7
+ ,183.5
+ ,198.2
+ ,186.8
+ ,172
+ ,150.6
+ ,163.3
+ ,153.7
+ ,152.9
+ ,135.5
+ ,148.5
+ ,148.4
+ ,133.6
+ ,194.1
+ ,208.6
+ ,197.3
+ ,164.4
+ ,148.1
+ ,152
+ ,144.1
+ ,155
+ ,124.5
+ ,153
+ ,146
+ ,138
+ ,190
+ ,192
+ ,192
+ ,147
+ ,133
+ ,163
+ ,150
+ ,129
+ ,131
+ ,145
+ ,137
+ ,138
+ ,168
+ ,176
+ ,188
+ ,139
+ ,143
+ ,150
+ ,154
+ ,137
+ ,129
+ ,128
+ ,140
+ ,143
+ ,151
+ ,177
+ ,184
+ ,151
+ ,134
+ ,164
+ ,126
+ ,131
+ ,125
+ ,127
+ ,143
+ ,143
+ ,160
+ ,190
+ ,182
+ ,138
+ ,136
+ ,152
+ ,127
+ ,151
+ ,130
+ ,119
+ ,153)
> #'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!)
> num <- 50
> res <- array(NA,dim=c(num,3))
> 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]
+ }
+ }
+ }
+ }
> iqd <- 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)
+ }
+ iqdiff <- qvalue3 - qvalue1
+ return(c(iqdiff,iqdiff/2,iqdiff/(qvalue3 + qvalue1)))
+ }
> range <- max(x) - min(x)
> lx <- length(x)
> biasf <- (lx-1)/lx
> varx <- var(x)
> bvarx <- varx*biasf
> sdx <- sqrt(varx)
> mx <- mean(x)
> bsdx <- sqrt(bvarx)
> x2 <- x*x
> mse0 <- sum(x2)/lx
> xmm <- x-mx
> xmm2 <- xmm*xmm
> msem <- sum(xmm2)/lx
> axmm <- abs(x - mx)
> medx <- median(x)
> axmmed <- abs(x - medx)
> xmmed <- x - medx
> xmmed2 <- xmmed*xmmed
> msemed <- sum(xmmed2)/lx
> qarr <- array(NA,dim=c(8,3))
> for (j in 1:8) {
+ qarr[j,] <- iqd(x,j)
+ }
> sdpo <- 0
> adpo <- 0
> for (i in 1:(lx-1)) {
+ for (j in (i+1):lx) {
+ ldi <- x[i]-x[j]
+ aldi <- abs(ldi)
+ sdpo = sdpo + ldi * ldi
+ adpo = adpo + aldi
+ }
+ }
> denom <- (lx*(lx-1)/2)
> sdpo = sdpo / denom
> adpo = adpo / denom
> gmd <- 0
> for (i in 1:lx) {
+ for (j in 1:lx) {
+ ldi <- abs(x[i]-x[j])
+ gmd = gmd + ldi
+ }
+ }
> gmd <- gmd / (lx*(lx-1))
> sumx <- sum(x)
> pk <- x / sumx
> ck <- cumsum(pk)
> dk <- array(NA,dim=lx)
> for (i in 1:lx) {
+ if (ck[i] <= 0.5) dk[i] <- ck[i] else dk[i] <- 1 - ck[i]
+ }
> bigd <- sum(dk) * 2 / (lx-1)
> iod <- 1 - sum(pk*pk)
> res[1,] <- c('Absolute range','http://www.xycoon.com/absolute.htm', range)
> res[2,] <- c('Relative range (unbiased)','http://www.xycoon.com/relative.htm', range/sd(x))
> res[3,] <- c('Relative range (biased)','http://www.xycoon.com/relative.htm', range/sqrt(varx*biasf))
> res[4,] <- c('Variance (unbiased)','http://www.xycoon.com/unbiased.htm', varx)
> res[5,] <- c('Variance (biased)','http://www.xycoon.com/biased.htm', bvarx)
> res[6,] <- c('Standard Deviation (unbiased)','http://www.xycoon.com/unbiased1.htm', sdx)
> res[7,] <- c('Standard Deviation (biased)','http://www.xycoon.com/biased1.htm', bsdx)
> res[8,] <- c('Coefficient of Variation (unbiased)','http://www.xycoon.com/variation.htm', sdx/mx)
> res[9,] <- c('Coefficient of Variation (biased)','http://www.xycoon.com/variation.htm', bsdx/mx)
> res[10,] <- c('Mean Squared Error (MSE versus 0)','http://www.xycoon.com/mse.htm', mse0)
> res[11,] <- c('Mean Squared Error (MSE versus Mean)','http://www.xycoon.com/mse.htm', msem)
> res[12,] <- c('Mean Absolute Deviation from Mean (MAD Mean)', 'http://www.xycoon.com/mean2.htm', sum(axmm)/lx)
> res[13,] <- c('Mean Absolute Deviation from Median (MAD Median)', 'http://www.xycoon.com/median1.htm', sum(axmmed)/lx)
> res[14,] <- c('Median Absolute Deviation from Mean', 'http://www.xycoon.com/mean3.htm', median(axmm))
> res[15,] <- c('Median Absolute Deviation from Median', 'http://www.xycoon.com/median2.htm', median(axmmed))
> res[16,] <- c('Mean Squared Deviation from Mean', 'http://www.xycoon.com/mean1.htm', msem)
> res[17,] <- c('Mean Squared Deviation from Median', 'http://www.xycoon.com/median.htm', msemed)
>
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
>
> mylink1 <- hyperlink('http://www.xycoon.com/difference.htm','Interquartile Difference','')
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
> res[18,] <- c('', mylink2, qarr[1,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
> res[19,] <- c('', mylink2, qarr[2,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_3.htm','(Empirical Distribution Function)',''),sep=' ')
> res[20,] <- c('', mylink2, qarr[3,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
> res[21,] <- c('', mylink2, qarr[4,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
> res[22,] <- c('', mylink2, qarr[5,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_6.htm','(Closest Observation)',''),sep=' ')
> res[23,] <- c('', mylink2, qarr[6,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
> res[24,] <- c('', mylink2, qarr[7,1])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_8.htm','(MS Excel (old versions))',''),sep=' ')
> res[25,] <- c('', mylink2, qarr[8,1])
> mylink1 <- hyperlink('http://www.xycoon.com/deviation.htm','Semi Interquartile Difference','')
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
> res[26,] <- c('', mylink2, qarr[1,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
> res[27,] <- c('', mylink2, qarr[2,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_3.htm','(Empirical Distribution Function)',''),sep=' ')
> res[28,] <- c('', mylink2, qarr[3,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
> res[29,] <- c('', mylink2, qarr[4,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
> res[30,] <- c('', mylink2, qarr[5,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_6.htm','(Closest Observation)',''),sep=' ')
> res[31,] <- c('', mylink2, qarr[6,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
> res[32,] <- c('', mylink2, qarr[7,2])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_8.htm','(MS Excel (old versions))',''),sep=' ')
> res[33,] <- c('', mylink2, qarr[8,2])
> mylink1 <- hyperlink('http://www.xycoon.com/variation1.htm','Coefficient of Quartile Variation','')
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
> res[34,] <- c('', mylink2, qarr[1,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
> res[35,] <- c('', mylink2, qarr[2,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_3.htm','(Empirical Distribution Function)',''),sep=' ')
> res[36,] <- c('', mylink2, qarr[3,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
> res[37,] <- c('', mylink2, qarr[4,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
> res[38,] <- c('', mylink2, qarr[5,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_6.htm','(Closest Observation)',''),sep=' ')
> res[39,] <- c('', mylink2, qarr[6,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
> res[40,] <- c('', mylink2, qarr[7,3])
> mylink2 <- paste(mylink1,hyperlink('http://www.xycoon.com/method_8.htm','(MS Excel (old versions))',''),sep=' ')
> res[41,] <- c('', mylink2, qarr[8,3])
> res[42,] <- c('Number of all Pairs of Observations', 'http://www.xycoon.com/pair_numbers.htm', lx*(lx-1)/2)
> res[43,] <- c('Squared Differences between all Pairs of Observations', 'http://www.xycoon.com/squared_differences.htm', sdpo)
> res[44,] <- c('Mean Absolute Differences between all Pairs of Observations', 'http://www.xycoon.com/mean_abs_differences.htm', adpo)
> res[45,] <- c('Gini Mean Difference', 'http://www.xycoon.com/gini_mean_difference.htm', gmd)
> res[46,] <- c('Leik Measure of Dispersion', 'http://www.xycoon.com/leiks_d.htm', bigd)
> res[47,] <- c('Index of Diversity', 'http://www.xycoon.com/diversity.htm', iod)
> res[48,] <- c('Index of Qualitative Variation', 'http://www.xycoon.com/qualitative_variation.htm', iod*lx/(lx-1))
> res[49,] <- c('Coefficient of Dispersion', 'http://www.xycoon.com/dispersion.htm', sum(axmm)/lx/medx)
> res[50,] <- c('Observations', '', lx)
> res
[,1]
[1,] "Absolute range"
[2,] "Relative range (unbiased)"
[3,] "Relative range (biased)"
[4,] "Variance (unbiased)"
[5,] "Variance (biased)"
[6,] "Standard Deviation (unbiased)"
[7,] "Standard Deviation (biased)"
[8,] "Coefficient of Variation (unbiased)"
[9,] "Coefficient of Variation (biased)"
[10,] "Mean Squared Error (MSE versus 0)"
[11,] "Mean Squared Error (MSE versus Mean)"
[12,] "Mean Absolute Deviation from Mean (MAD Mean)"
[13,] "Mean Absolute Deviation from Median (MAD Median)"
[14,] "Median Absolute Deviation from Mean"
[15,] "Median Absolute Deviation from Median"
[16,] "Mean Squared Deviation from Mean"
[17,] "Mean Squared Deviation from Median"
[18,] ""
[19,] ""
[20,] ""
[21,] ""
[22,] ""
[23,] ""
[24,] ""
[25,] ""
[26,] ""
[27,] ""
[28,] ""
[29,] ""
[30,] ""
[31,] ""
[32,] ""
[33,] ""
[34,] ""
[35,] ""
[36,] ""
[37,] ""
[38,] ""
[39,] ""
[40,] ""
[41,] ""
[42,] "Number of all Pairs of Observations"
[43,] "Squared Differences between all Pairs of Observations"
[44,] "Mean Absolute Differences between all Pairs of Observations"
[45,] "Gini Mean Difference"
[46,] "Leik Measure of Dispersion"
[47,] "Index of Diversity"
[48,] "Index of Qualitative Variation"
[49,] "Coefficient of Dispersion"
[50,] "Observations"
[,2]
[1,] "http://www.xycoon.com/absolute.htm"
[2,] "http://www.xycoon.com/relative.htm"
[3,] "http://www.xycoon.com/relative.htm"
[4,] "http://www.xycoon.com/unbiased.htm"
[5,] "http://www.xycoon.com/biased.htm"
[6,] "http://www.xycoon.com/unbiased1.htm"
[7,] "http://www.xycoon.com/biased1.htm"
[8,] "http://www.xycoon.com/variation.htm"
[9,] "http://www.xycoon.com/variation.htm"
[10,] "http://www.xycoon.com/mse.htm"
[11,] "http://www.xycoon.com/mse.htm"
[12,] "http://www.xycoon.com/mean2.htm"
[13,] "http://www.xycoon.com/median1.htm"
[14,] "http://www.xycoon.com/mean3.htm"
[15,] "http://www.xycoon.com/median2.htm"
[16,] "http://www.xycoon.com/mean1.htm"
[17,] "http://www.xycoon.com/median.htm"
[18,] "Interquartile Difference (Weighted Average at Xnp)"
[19,] "Interquartile Difference (Weighted Average at X(n+1)p)"
[20,] "Interquartile Difference (Empirical Distribution Function)"
[21,] "Interquartile Difference (Empirical Distribution Function - Averaging)"
[22,] "Interquartile Difference (Empirical Distribution Function - Interpolation)"
[23,] "Interquartile Difference (Closest Observation)"
[24,] "Interquartile Difference (True Basic - Statistics Graphics Toolkit)"
[25,] "Interquartile Difference (MS Excel (old versions))"
[26,] "Semi Interquartile Difference (Weighted Average at Xnp)"
[27,] "Semi Interquartile Difference (Weighted Average at X(n+1)p)"
[28,] "Semi Interquartile Difference (Empirical Distribution Function)"
[29,] "Semi Interquartile Difference (Empirical Distribution Function - Averaging)"
[30,] "Semi Interquartile Difference (Empirical Distribution Function - Interpolation)"
[31,] "Semi Interquartile Difference (Closest Observation)"
[32,] "Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)"
[33,] "Semi Interquartile Difference (MS Excel (old versions))"
[34,] "Coefficient of Quartile Variation (Weighted Average at Xnp)"
[35,] "Coefficient of Quartile Variation (Weighted Average at X(n+1)p)"
[36,] "Coefficient of Quartile Variation (Empirical Distribution Function)"
[37,] "Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)"
[38,] "Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)"
[39,] "Coefficient of Quartile Variation (Closest Observation)"
[40,] "Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)"
[41,] "Coefficient of Quartile Variation (MS Excel (old versions))"
[42,] "http://www.xycoon.com/pair_numbers.htm"
[43,] "http://www.xycoon.com/squared_differences.htm"
[44,] "http://www.xycoon.com/mean_abs_differences.htm"
[45,] "http://www.xycoon.com/gini_mean_difference.htm"
[46,] "http://www.xycoon.com/leiks_d.htm"
[47,] "http://www.xycoon.com/diversity.htm"
[48,] "http://www.xycoon.com/qualitative_variation.htm"
[49,] "http://www.xycoon.com/dispersion.htm"
[50,] ""
[,3]
[1,] "153"
[2,] "4.53484836463089"
[3,] "4.53961937948501"
[4,] "1138.30153648828"
[5,] "1135.91014670574"
[6,] "33.7387245830111"
[7,] "33.7032661133271"
[8,] "0.247359734914151"
[9,] "0.247099766650089"
[10,] "19739.6093277311"
[11,] "1135.91014670574"
[12,] "27.5238595438175"
[13,] "27.4268907563025"
[14,] "22.9546218487395"
[15,] "22.9"
[16,] "1135.91014670574"
[17,] "1143.49808823529"
[18,] "46.1"
[19,] "46.375"
[20,] "46.1"
[21,] "46.15"
[22,] "45.925"
[23,] "46.1"
[24,] "45.925"
[25,] "46.6"
[26,] "23.05"
[27,] "23.1875"
[28,] "23.05"
[29,] "23.075"
[30,] "22.9625"
[31,] "23.05"
[32,] "22.9625"
[33,] "23.3"
[34,] "0.16992259491338"
[35,] "0.170637475853187"
[36,] "0.16992259491338"
[37,] "0.169825206991720"
[38,] "0.169012788665011"
[39,] "0.16992259491338"
[40,] "0.169012788665011"
[41,] "0.171449595290655"
[42,] "113050"
[43,] "2276.60307297661"
[44,] "38.5194161875275"
[45,] "38.5194161875272"
[46,] "0.460027753822717"
[47,] "0.99777088593555"
[48,] "0.99987145622173"
[49,] "0.197799924856755"
[50,] "476"
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Variability - Ungrouped Data',2,TRUE)
> a<-table.row.end(a)
> for (i in 1:num) {
+ a<-table.row.start(a)
+ if (res[i,1] != '') {
+ a<-table.element(a,hyperlink(res[i,2],res[i,1],''),header=TRUE)
+ } else {
+ a<-table.element(a,res[i,2],header=TRUE)
+ }
+ a<-table.element(a,res[i,3])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/115951274902880.tab")
>
>
>
> proc.time()
user system elapsed
1.483 0.042 1.538