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of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_variability.wasp
Title produced by softwareVariability
Date of computationSun, 27 Nov 2011 10:59:04 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/27/t13224095544wv46riyzydqx2w.htm/, Retrieved Fri, 29 Mar 2024 06:22:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147525, Retrieved Fri, 29 Mar 2024 06:22:27 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Testing Mean with unknown Variance - Critical Value] [] [2010-10-22 10:07:01] [8a9a6f7c332640af31ddca253a8ded58]
-    D  [Testing Mean with unknown Variance - Critical Value] [] [2010-10-25 18:04:09] [504b6ff240ec7a3fcbc007044ae7a0bb]
- RMP       [Variability] [] [2011-11-27 15:59:04] [5f9ad3d6882448a3cbf5628cc61fe2a1] [Current]
-    D        [Variability] [] [2011-11-27 16:01:46] [3931071255a6f7f4a767409781cc5f7d]
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Dataseries X:
3
1
1
5
0
-1
1
2
-1
2
0
4
4
-1
0
4
-1
4
2
2
0
0
4
1
0
0
4
4
0
0
2
1
0
2
2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147525&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147525&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147525&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Variability - Ungrouped Data
Absolute range6
Relative range (unbiased)3.35586496346275
Relative range (biased)3.40485828440899
Variance (unbiased)3.19663865546219
Variance (biased)3.10530612244898
Standard Deviation (unbiased)1.78791461078604
Standard Deviation (biased)1.76218787944106
Coefficient of Variation (unbiased)1.22700022308846
Coefficient of Variation (biased)1.20934462314583
Mean Squared Error (MSE versus 0)5.22857142857143
Mean Squared Error (MSE versus Mean)3.10530612244898
Mean Absolute Deviation from Mean (MAD Mean)1.52489795918367
Mean Absolute Deviation from Median (MAD Median)1.48571428571429
Median Absolute Deviation from Mean1.45714285714286
Median Absolute Deviation from Median1
Mean Squared Deviation from Mean3.10530612244898
Mean Squared Deviation from Median3.31428571428571
Interquartile Difference (Weighted Average at Xnp)2.25
Interquartile Difference (Weighted Average at X(n+1)p)3
Interquartile Difference (Empirical Distribution Function)3
Interquartile Difference (Empirical Distribution Function - Averaging)3
Interquartile Difference (Empirical Distribution Function - Interpolation)2.5
Interquartile Difference (Closest Observation)2
Interquartile Difference (True Basic - Statistics Graphics Toolkit)3
Interquartile Difference (MS Excel (old versions))3
Semi Interquartile Difference (Weighted Average at Xnp)1.125
Semi Interquartile Difference (Weighted Average at X(n+1)p)1.5
Semi Interquartile Difference (Empirical Distribution Function)1.5
Semi Interquartile Difference (Empirical Distribution Function - Averaging)1.5
Semi Interquartile Difference (Empirical Distribution Function - Interpolation)1.25
Semi Interquartile Difference (Closest Observation)1
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)1.5
Semi Interquartile Difference (MS Excel (old versions))1.5
Coefficient of Quartile Variation (Weighted Average at Xnp)1
Coefficient of Quartile Variation (Weighted Average at X(n+1)p)1
Coefficient of Quartile Variation (Empirical Distribution Function)1
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)1
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)1
Coefficient of Quartile Variation (Closest Observation)1
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)1
Coefficient of Quartile Variation (MS Excel (old versions))1
Number of all Pairs of Observations595
Squared Differences between all Pairs of Observations6.39327731092437
Mean Absolute Differences between all Pairs of Observations2.02689075630252
Gini Mean Difference2.02689075630252
Leik Measure of Dispersion0.506343713956171
Index of Diversity0.929642445213379
Index of Qualitative Variation0.956984870072596
Coefficient of Dispersion1.52489795918367
Observations35

\begin{tabular}{lllllllll}
\hline
Variability - Ungrouped Data \tabularnewline
Absolute range & 6 \tabularnewline
Relative range (unbiased) & 3.35586496346275 \tabularnewline
Relative range (biased) & 3.40485828440899 \tabularnewline
Variance (unbiased) & 3.19663865546219 \tabularnewline
Variance (biased) & 3.10530612244898 \tabularnewline
Standard Deviation (unbiased) & 1.78791461078604 \tabularnewline
Standard Deviation (biased) & 1.76218787944106 \tabularnewline
Coefficient of Variation (unbiased) & 1.22700022308846 \tabularnewline
Coefficient of Variation (biased) & 1.20934462314583 \tabularnewline
Mean Squared Error (MSE versus 0) & 5.22857142857143 \tabularnewline
Mean Squared Error (MSE versus Mean) & 3.10530612244898 \tabularnewline
Mean Absolute Deviation from Mean (MAD Mean) & 1.52489795918367 \tabularnewline
Mean Absolute Deviation from Median (MAD Median) & 1.48571428571429 \tabularnewline
Median Absolute Deviation from Mean & 1.45714285714286 \tabularnewline
Median Absolute Deviation from Median & 1 \tabularnewline
Mean Squared Deviation from Mean & 3.10530612244898 \tabularnewline
Mean Squared Deviation from Median & 3.31428571428571 \tabularnewline
Interquartile Difference (Weighted Average at Xnp) & 2.25 \tabularnewline
Interquartile Difference (Weighted Average at X(n+1)p) & 3 \tabularnewline
Interquartile Difference (Empirical Distribution Function) & 3 \tabularnewline
Interquartile Difference (Empirical Distribution Function - Averaging) & 3 \tabularnewline
Interquartile Difference (Empirical Distribution Function - Interpolation) & 2.5 \tabularnewline
Interquartile Difference (Closest Observation) & 2 \tabularnewline
Interquartile Difference (True Basic - Statistics Graphics Toolkit) & 3 \tabularnewline
Interquartile Difference (MS Excel (old versions)) & 3 \tabularnewline
Semi Interquartile Difference (Weighted Average at Xnp) & 1.125 \tabularnewline
Semi Interquartile Difference (Weighted Average at X(n+1)p) & 1.5 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function) & 1.5 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function - Averaging) & 1.5 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function - Interpolation) & 1.25 \tabularnewline
Semi Interquartile Difference (Closest Observation) & 1 \tabularnewline
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit) & 1.5 \tabularnewline
Semi Interquartile Difference (MS Excel (old versions)) & 1.5 \tabularnewline
Coefficient of Quartile Variation (Weighted Average at Xnp) & 1 \tabularnewline
Coefficient of Quartile Variation (Weighted Average at X(n+1)p) & 1 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function) & 1 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging) & 1 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation) & 1 \tabularnewline
Coefficient of Quartile Variation (Closest Observation) & 1 \tabularnewline
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit) & 1 \tabularnewline
Coefficient of Quartile Variation (MS Excel (old versions)) & 1 \tabularnewline
Number of all Pairs of Observations & 595 \tabularnewline
Squared Differences between all Pairs of Observations & 6.39327731092437 \tabularnewline
Mean Absolute Differences between all Pairs of Observations & 2.02689075630252 \tabularnewline
Gini Mean Difference & 2.02689075630252 \tabularnewline
Leik Measure of Dispersion & 0.506343713956171 \tabularnewline
Index of Diversity & 0.929642445213379 \tabularnewline
Index of Qualitative Variation & 0.956984870072596 \tabularnewline
Coefficient of Dispersion & 1.52489795918367 \tabularnewline
Observations & 35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147525&T=1

[TABLE]
[ROW][C]Variability - Ungrouped Data[/C][/ROW]
[ROW][C]Absolute range[/C][C]6[/C][/ROW]
[ROW][C]Relative range (unbiased)[/C][C]3.35586496346275[/C][/ROW]
[ROW][C]Relative range (biased)[/C][C]3.40485828440899[/C][/ROW]
[ROW][C]Variance (unbiased)[/C][C]3.19663865546219[/C][/ROW]
[ROW][C]Variance (biased)[/C][C]3.10530612244898[/C][/ROW]
[ROW][C]Standard Deviation (unbiased)[/C][C]1.78791461078604[/C][/ROW]
[ROW][C]Standard Deviation (biased)[/C][C]1.76218787944106[/C][/ROW]
[ROW][C]Coefficient of Variation (unbiased)[/C][C]1.22700022308846[/C][/ROW]
[ROW][C]Coefficient of Variation (biased)[/C][C]1.20934462314583[/C][/ROW]
[ROW][C]Mean Squared Error (MSE versus 0)[/C][C]5.22857142857143[/C][/ROW]
[ROW][C]Mean Squared Error (MSE versus Mean)[/C][C]3.10530612244898[/C][/ROW]
[ROW][C]Mean Absolute Deviation from Mean (MAD Mean)[/C][C]1.52489795918367[/C][/ROW]
[ROW][C]Mean Absolute Deviation from Median (MAD Median)[/C][C]1.48571428571429[/C][/ROW]
[ROW][C]Median Absolute Deviation from Mean[/C][C]1.45714285714286[/C][/ROW]
[ROW][C]Median Absolute Deviation from Median[/C][C]1[/C][/ROW]
[ROW][C]Mean Squared Deviation from Mean[/C][C]3.10530612244898[/C][/ROW]
[ROW][C]Mean Squared Deviation from Median[/C][C]3.31428571428571[/C][/ROW]
[ROW][C]Interquartile Difference (Weighted Average at Xnp)[/C][C]2.25[/C][/ROW]
[ROW][C]Interquartile Difference (Weighted Average at X(n+1)p)[/C][C]3[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function)[/C][C]3[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function - Averaging)[/C][C]3[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function - Interpolation)[/C][C]2.5[/C][/ROW]
[ROW][C]Interquartile Difference (Closest Observation)[/C][C]2[/C][/ROW]
[ROW][C]Interquartile Difference (True Basic - Statistics Graphics Toolkit)[/C][C]3[/C][/ROW]
[ROW][C]Interquartile Difference (MS Excel (old versions))[/C][C]3[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Weighted Average at Xnp)[/C][C]1.125[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Weighted Average at X(n+1)p)[/C][C]1.5[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function)[/C][C]1.5[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function - Averaging)[/C][C]1.5[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function - Interpolation)[/C][C]1.25[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Closest Observation)[/C][C]1[/C][/ROW]
[ROW][C]Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)[/C][C]1.5[/C][/ROW]
[ROW][C]Semi Interquartile Difference (MS Excel (old versions))[/C][C]1.5[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Weighted Average at Xnp)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Weighted Average at X(n+1)p)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Closest Observation)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)[/C][C]1[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (MS Excel (old versions))[/C][C]1[/C][/ROW]
[ROW][C]Number of all Pairs of Observations[/C][C]595[/C][/ROW]
[ROW][C]Squared Differences between all Pairs of Observations[/C][C]6.39327731092437[/C][/ROW]
[ROW][C]Mean Absolute Differences between all Pairs of Observations[/C][C]2.02689075630252[/C][/ROW]
[ROW][C]Gini Mean Difference[/C][C]2.02689075630252[/C][/ROW]
[ROW][C]Leik Measure of Dispersion[/C][C]0.506343713956171[/C][/ROW]
[ROW][C]Index of Diversity[/C][C]0.929642445213379[/C][/ROW]
[ROW][C]Index of Qualitative Variation[/C][C]0.956984870072596[/C][/ROW]
[ROW][C]Coefficient of Dispersion[/C][C]1.52489795918367[/C][/ROW]
[ROW][C]Observations[/C][C]35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147525&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147525&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Variability - Ungrouped Data
Absolute range6
Relative range (unbiased)3.35586496346275
Relative range (biased)3.40485828440899
Variance (unbiased)3.19663865546219
Variance (biased)3.10530612244898
Standard Deviation (unbiased)1.78791461078604
Standard Deviation (biased)1.76218787944106
Coefficient of Variation (unbiased)1.22700022308846
Coefficient of Variation (biased)1.20934462314583
Mean Squared Error (MSE versus 0)5.22857142857143
Mean Squared Error (MSE versus Mean)3.10530612244898
Mean Absolute Deviation from Mean (MAD Mean)1.52489795918367
Mean Absolute Deviation from Median (MAD Median)1.48571428571429
Median Absolute Deviation from Mean1.45714285714286
Median Absolute Deviation from Median1
Mean Squared Deviation from Mean3.10530612244898
Mean Squared Deviation from Median3.31428571428571
Interquartile Difference (Weighted Average at Xnp)2.25
Interquartile Difference (Weighted Average at X(n+1)p)3
Interquartile Difference (Empirical Distribution Function)3
Interquartile Difference (Empirical Distribution Function - Averaging)3
Interquartile Difference (Empirical Distribution Function - Interpolation)2.5
Interquartile Difference (Closest Observation)2
Interquartile Difference (True Basic - Statistics Graphics Toolkit)3
Interquartile Difference (MS Excel (old versions))3
Semi Interquartile Difference (Weighted Average at Xnp)1.125
Semi Interquartile Difference (Weighted Average at X(n+1)p)1.5
Semi Interquartile Difference (Empirical Distribution Function)1.5
Semi Interquartile Difference (Empirical Distribution Function - Averaging)1.5
Semi Interquartile Difference (Empirical Distribution Function - Interpolation)1.25
Semi Interquartile Difference (Closest Observation)1
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)1.5
Semi Interquartile Difference (MS Excel (old versions))1.5
Coefficient of Quartile Variation (Weighted Average at Xnp)1
Coefficient of Quartile Variation (Weighted Average at X(n+1)p)1
Coefficient of Quartile Variation (Empirical Distribution Function)1
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)1
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)1
Coefficient of Quartile Variation (Closest Observation)1
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)1
Coefficient of Quartile Variation (MS Excel (old versions))1
Number of all Pairs of Observations595
Squared Differences between all Pairs of Observations6.39327731092437
Mean Absolute Differences between all Pairs of Observations2.02689075630252
Gini Mean Difference2.02689075630252
Leik Measure of Dispersion0.506343713956171
Index of Diversity0.929642445213379
Index of Qualitative Variation0.956984870072596
Coefficient of Dispersion1.52489795918367
Observations35



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
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','absolute.htm', range)
res[2,] <- c('Relative range (unbiased)','relative.htm', range/sd(x))
res[3,] <- c('Relative range (biased)','relative.htm', range/sqrt(varx*biasf))
res[4,] <- c('Variance (unbiased)','unbiased.htm', varx)
res[5,] <- c('Variance (biased)','biased.htm', bvarx)
res[6,] <- c('Standard Deviation (unbiased)','unbiased1.htm', sdx)
res[7,] <- c('Standard Deviation (biased)','biased1.htm', bsdx)
res[8,] <- c('Coefficient of Variation (unbiased)','variation.htm', sdx/mx)
res[9,] <- c('Coefficient of Variation (biased)','variation.htm', bsdx/mx)
res[10,] <- c('Mean Squared Error (MSE versus 0)','mse.htm', mse0)
res[11,] <- c('Mean Squared Error (MSE versus Mean)','mse.htm', msem)
res[12,] <- c('Mean Absolute Deviation from Mean (MAD Mean)', 'mean2.htm', sum(axmm)/lx)
res[13,] <- c('Mean Absolute Deviation from Median (MAD Median)', 'median1.htm', sum(axmmed)/lx)
res[14,] <- c('Median Absolute Deviation from Mean', 'mean3.htm', median(axmm))
res[15,] <- c('Median Absolute Deviation from Median', 'median2.htm', median(axmmed))
res[16,] <- c('Mean Squared Deviation from Mean', 'mean1.htm', msem)
res[17,] <- c('Mean Squared Deviation from Median', 'median.htm', msemed)
load(file='createtable')
mylink1 <- hyperlink('difference.htm','Interquartile Difference','')
mylink2 <- paste(mylink1,hyperlink('method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
res[18,] <- c('', mylink2, qarr[1,1])
mylink2 <- paste(mylink1,hyperlink('method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
res[19,] <- c('', mylink2, qarr[2,1])
mylink2 <- paste(mylink1,hyperlink('method_3.htm','(Empirical Distribution Function)',''),sep=' ')
res[20,] <- c('', mylink2, qarr[3,1])
mylink2 <- paste(mylink1,hyperlink('method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
res[21,] <- c('', mylink2, qarr[4,1])
mylink2 <- paste(mylink1,hyperlink('method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
res[22,] <- c('', mylink2, qarr[5,1])
mylink2 <- paste(mylink1,hyperlink('method_6.htm','(Closest Observation)',''),sep=' ')
res[23,] <- c('', mylink2, qarr[6,1])
mylink2 <- paste(mylink1,hyperlink('method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
res[24,] <- c('', mylink2, qarr[7,1])
mylink2 <- paste(mylink1,hyperlink('method_8.htm','(MS Excel (old versions))',''),sep=' ')
res[25,] <- c('', mylink2, qarr[8,1])
mylink1 <- hyperlink('deviation.htm','Semi Interquartile Difference','')
mylink2 <- paste(mylink1,hyperlink('method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
res[26,] <- c('', mylink2, qarr[1,2])
mylink2 <- paste(mylink1,hyperlink('method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
res[27,] <- c('', mylink2, qarr[2,2])
mylink2 <- paste(mylink1,hyperlink('method_3.htm','(Empirical Distribution Function)',''),sep=' ')
res[28,] <- c('', mylink2, qarr[3,2])
mylink2 <- paste(mylink1,hyperlink('method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
res[29,] <- c('', mylink2, qarr[4,2])
mylink2 <- paste(mylink1,hyperlink('method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
res[30,] <- c('', mylink2, qarr[5,2])
mylink2 <- paste(mylink1,hyperlink('method_6.htm','(Closest Observation)',''),sep=' ')
res[31,] <- c('', mylink2, qarr[6,2])
mylink2 <- paste(mylink1,hyperlink('method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
res[32,] <- c('', mylink2, qarr[7,2])
mylink2 <- paste(mylink1,hyperlink('method_8.htm','(MS Excel (old versions))',''),sep=' ')
res[33,] <- c('', mylink2, qarr[8,2])
mylink1 <- hyperlink('variation1.htm','Coefficient of Quartile Variation','')
mylink2 <- paste(mylink1,hyperlink('method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
res[34,] <- c('', mylink2, qarr[1,3])
mylink2 <- paste(mylink1,hyperlink('method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
res[35,] <- c('', mylink2, qarr[2,3])
mylink2 <- paste(mylink1,hyperlink('method_3.htm','(Empirical Distribution Function)',''),sep=' ')
res[36,] <- c('', mylink2, qarr[3,3])
mylink2 <- paste(mylink1,hyperlink('method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
res[37,] <- c('', mylink2, qarr[4,3])
mylink2 <- paste(mylink1,hyperlink('method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
res[38,] <- c('', mylink2, qarr[5,3])
mylink2 <- paste(mylink1,hyperlink('method_6.htm','(Closest Observation)',''),sep=' ')
res[39,] <- c('', mylink2, qarr[6,3])
mylink2 <- paste(mylink1,hyperlink('method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
res[40,] <- c('', mylink2, qarr[7,3])
mylink2 <- paste(mylink1,hyperlink('method_8.htm','(MS Excel (old versions))',''),sep=' ')
res[41,] <- c('', mylink2, qarr[8,3])
res[42,] <- c('Number of all Pairs of Observations', 'pair_numbers.htm', lx*(lx-1)/2)
res[43,] <- c('Squared Differences between all Pairs of Observations', 'squared_differences.htm', sdpo)
res[44,] <- c('Mean Absolute Differences between all Pairs of Observations', 'mean_abs_differences.htm', adpo)
res[45,] <- c('Gini Mean Difference', 'gini_mean_difference.htm', gmd)
res[46,] <- c('Leik Measure of Dispersion', 'leiks_d.htm', bigd)
res[47,] <- c('Index of Diversity', 'diversity.htm', iod)
res[48,] <- c('Index of Qualitative Variation', 'qualitative_variation.htm', iod*lx/(lx-1))
res[49,] <- c('Coefficient of Dispersion', 'dispersion.htm', sum(axmm)/lx/medx)
res[50,] <- c('Observations', '', lx)
res
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='mytable.tab')