R version 2.6.2 (2008-02-08)
Copyright (C) 2008 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(1.327
+ ,1.3231
+ ,1.3106
+ ,1.3084
+ ,1.3006
+ ,1.3018
+ ,1.2988
+ ,1.2984
+ ,1.2893
+ ,1.2941
+ ,1.2953
+ ,1.2909
+ ,1.2922
+ ,1.2958
+ ,1.2936
+ ,1.304
+ ,1.3005
+ ,1.2978
+ ,1.2901
+ ,1.2921
+ ,1.2972
+ ,1.2954
+ ,1.302
+ ,1.302
+ ,1.2925
+ ,1.2955
+ ,1.2987
+ ,1.2991
+ ,1.3007
+ ,1.2956
+ ,1.3022
+ ,1.3082
+ ,1.3137
+ ,1.3119
+ ,1.3132
+ ,1.3145
+ ,1.3145
+ ,1.3106
+ ,1.3134
+ ,1.316
+ ,1.323
+ ,1.3211
+ ,1.3225
+ ,1.3163
+ ,1.3083
+ ,1.31
+ ,1.3135
+ ,1.3152
+ ,1.3155
+ ,1.3156
+ ,1.3218
+ ,1.3183
+ ,1.3226
+ ,1.3325
+ ,1.3303
+ ,1.3296
+ ,1.3293
+ ,1.3351
+ ,1.3327
+ ,1.3265
+ ,1.3347
+ ,1.3348
+ ,1.3352
+ ,1.3318
+ ,1.3366
+ ,1.3358
+ ,1.3352
+ ,1.3373
+ ,1.3426
+ ,1.3418
+ ,1.3467
+ ,1.3532
+ ,1.355
+ ,1.3549
+ ,1.3577
+ ,1.3601
+ ,1.3606
+ ,1.3557
+ ,1.3582
+ ,1.3649
+ ,1.3596
+ ,1.3643
+ ,1.3605
+ ,1.3588
+ ,1.3613
+ ,1.3561
+ ,1.3615
+ ,1.3558
+ ,1.3535
+ ,1.3527
+ ,1.3486
+ ,1.3549
+ ,1.3538
+ ,1.3574
+ ,1.3516
+ ,1.3477
+ ,1.3444
+ ,1.3454
+ ,1.349
+ ,1.3448
+ ,1.3441
+ ,1.3453
+ ,1.3509
+ ,1.342
+ ,1.3453
+ ,1.3436
+ ,1.3482
+ ,1.3532
+ ,1.3513
+ ,1.347
+ ,1.3349
+ ,1.3355
+ ,1.3345
+ ,1.3287
+ ,1.3304
+ ,1.3314
+ ,1.3404
+ ,1.3403
+ ,1.3427
+ ,1.3397
+ ,1.3441
+ ,1.3461
+ ,1.346
+ ,1.3438
+ ,1.3467
+ ,1.3505
+ ,1.3588
+ ,1.3601
+ ,1.3618
+ ,1.364
+ ,1.3596
+ ,1.3621
+ ,1.3666
+ ,1.3753
+ ,1.3788
+ ,1.3782
+ ,1.3781
+ ,1.3771
+ ,1.3779
+ ,1.382
+ ,1.3803
+ ,1.3821
+ ,1.3833
+ ,1.3743
+ ,1.3722
+ ,1.3651
+ ,1.3659
+ ,1.3707
+ ,1.3663
+ ,1.3664
+ ,1.3694
+ ,1.3818
+ ,1.3794
+ ,1.3794
+ ,1.3729
+ ,1.365
+ ,1.3651
+ ,1.3591
+ ,1.3476
+ ,1.3405
+ ,1.3454
+ ,1.3476
+ ,1.3508
+ ,1.3493
+ ,1.3574
+ ,1.3615
+ ,1.3658
+ ,1.3664
+ ,1.3631
+ ,1.361
+ ,1.3705
+ ,1.3632
+ ,1.358
+ ,1.3588
+ ,1.3669
+ ,1.3696
+ ,1.3795
+ ,1.3824
+ ,1.3885
+ ,1.3897
+ ,1.386
+ ,1.3877
+ ,1.3867
+ ,1.3975
+ ,1.403
+ ,1.4049
+ ,1.4113
+ ,1.4106
+ ,1.4127
+ ,1.418
+ ,1.4179
+ ,1.4232
+ ,1.4165
+ ,1.4195
+ ,1.4109
+ ,1.4136
+ ,1.4089
+ ,1.4037
+ ,1.4146
+ ,1.4199
+ ,1.4173
+ ,1.4226
+ ,1.415
+ ,1.42
+ ,1.4299
+ ,1.4288
+ ,1.4166
+ ,1.4254
+ ,1.423
+ ,1.4309
+ ,1.4384
+ ,1.4391
+ ,1.4407
+ ,1.4447
+ ,1.4423
+ ,1.4479
+ ,1.4488
+ ,1.4547
+ ,1.4722
+ ,1.4666
+ ,1.4683
+ ,1.4579
+ ,1.4607
+ ,1.47
+ ,1.4639
+ ,1.4651
+ ,1.4654
+ ,1.4785
+ ,1.4814
+ ,1.4829
+ ,1.4809
+ ,1.4845
+ ,1.4874
+ ,1.4747
+ ,1.4738
+ ,1.4761
+ ,1.4666
+ ,1.4741
+ ,1.472
+ ,1.4554
+ ,1.4649
+ ,1.4718
+ ,1.4672
+ ,1.4675
+ ,1.4683
+ ,1.4509
+ ,1.4393
+ ,1.4416
+ ,1.4385
+ ,1.4349
+ ,1.438
+ ,1.4398
+ ,1.4516
+ ,1.4692
+ ,1.4721)
> #'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,] "0.1981"
[2,] "3.71207540235476"
[3,] "3.71937545936134"
[4,] "0.0028479697520457"
[5,] "0.00283680124321415"
[6,] "0.0533663728582494"
[7,] "0.0532616301216377"
[8,] "0.0389399693619247"
[9,] "0.0388635414779203"
[10,] "1.88104685721569"
[11,] "0.00283680124321415"
[12,] "0.0434920015378701"
[13,] "0.041818431372549"
[14,] "0.0386780392156862"
[15,] "0.0301"
[16,] "0.00283680124321415"
[17,] "0.00297317784313725"
[18,] "0.0776000000000001"
[19,] "0.0782"
[20,] "0.0782"
[21,] "0.0782"
[22,] "0.0773999999999999"
[23,] "0.0768"
[24,] "0.0782"
[25,] "0.0782"
[26,] "0.0388000000000001"
[27,] "0.0391"
[28,] "0.0391"
[29,] "0.0391"
[30,] "0.0387000000000000"
[31,] "0.0384"
[32,] "0.0391"
[33,] "0.0391"
[34,] "0.0282623738937248"
[35,] "0.0284653465346535"
[36,] "0.0284653465346535"
[37,] "0.0284653465346535"
[38,] "0.0281802956382436"
[39,] "0.0279699905309928"
[40,] "0.0284653465346535"
[41,] "0.0284653465346535"
[42,] "32385"
[43,] "0.00569593950409136"
[44,] "0.059953781071484"
[45,] "0.0599537810714846"
[46,] "0.503613074785802"
[47,] "0.996072508333897"
[48,] "0.999994053642298"
[49,] "0.0320076549439727"
[50,] "255"
> 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/1ww7c1210539060.tab")
>
>
>
> proc.time()
user system elapsed
0.841 0.046 1.316