Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variability.wasp
Title produced by softwareVariability
Date of computationMon, 02 Dec 2013 10:20:25 -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/2013/Dec/02/t1385997750xrmthqnkjo7a4kn.htm/, Retrieved Thu, 28 Mar 2024 17:13:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230010, Retrieved Thu, 28 Mar 2024 17:13:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variability] [Variability Prijs...] [2013-12-02 15:20:25] [45baafc513cf820e9f0a314ccf5f72d1] [Current]
Feedback Forum

Post a new message
Dataseries X:
31,5
31,29
31,3
31,06
31,09
31,11
31,13
31,1
31,03
30,74
30,83
30,82
30,8
30,74
30,71
30,58
30,71
30,7
30,7
30,72
30,68
30,78
30,84
30,8
30,8
30,88
30,87
30,92
30,82
30,75
30,75
30,75
30,63
30,52
30,58
30,6
30,6
30,63
30,56
30,61
30,53
30,6
30,6
30,63
30,66
30,34
30,32
30,3
30,3
30,08
29,96
29,91
29,83
29,89
29,85
30,06
29,83
29,95
30,02
30,03
30,03
29,96
29,85
30,12
29,91
29,9
29,92
29,89
29,96
29,72
29,6
29,54
29,54
29,54
29,48
29,55
29,58
29,6
29,6
29,56
29,7
29,76
29,24
29,28




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230010&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]2 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=230010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230010&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Variability - Ungrouped Data
Absolute range2.26
Relative range (unbiased)4.15592261424535
Relative range (biased)4.18088333485153
Variance (unbiased)0.29572086919105
Variance (biased)0.292200382653061
Standard Deviation (unbiased)0.543802233528927
Standard Deviation (biased)0.540555624013904
Coefficient of Variation (unbiased)0.0179166471010295
Coefficient of Variation (biased)0.0178096810877088
Mean Squared Error (MSE versus 0)921.523096428572
Mean Squared Error (MSE versus Mean)0.292200382653061
Mean Absolute Deviation from Mean (MAD Mean)0.481420068027211
Mean Absolute Deviation from Median (MAD Median)0.468214285714286
Median Absolute Deviation from Mean0.441785714285714
Median Absolute Deviation from Median0.475
Mean Squared Deviation from Mean0.292200382653061
Mean Squared Deviation from Median0.339817857142857
Interquartile Difference (Weighted Average at Xnp)0.859999999999999
Interquartile Difference (Weighted Average at X(n+1)p)0.857500000000002
Interquartile Difference (Empirical Distribution Function)0.859999999999999
Interquartile Difference (Empirical Distribution Function - Averaging)0.855
Interquartile Difference (Empirical Distribution Function - Interpolation)0.852499999999999
Interquartile Difference (Closest Observation)0.859999999999999
Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.852500000000003
Interquartile Difference (MS Excel (old versions))0.859999999999999
Semi Interquartile Difference (Weighted Average at Xnp)0.43
Semi Interquartile Difference (Weighted Average at X(n+1)p)0.428750000000001
Semi Interquartile Difference (Empirical Distribution Function)0.43
Semi Interquartile Difference (Empirical Distribution Function - Averaging)0.4275
Semi Interquartile Difference (Empirical Distribution Function - Interpolation)0.42625
Semi Interquartile Difference (Closest Observation)0.43
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.426250000000001
Semi Interquartile Difference (MS Excel (old versions))0.43
Coefficient of Quartile Variation (Weighted Average at Xnp)0.0141820580474934
Coefficient of Quartile Variation (Weighted Average at X(n+1)p)0.0141402481757843
Coefficient of Quartile Variation (Empirical Distribution Function)0.0141820580474934
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)0.0140984417511749
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)0.0140566387732388
Coefficient of Quartile Variation (Closest Observation)0.0141820580474934
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)0.0140566387732388
Coefficient of Quartile Variation (MS Excel (old versions))0.0141820580474934
Number of all Pairs of Observations3486
Squared Differences between all Pairs of Observations0.591441738382103
Mean Absolute Differences between all Pairs of Observations0.620714285714283
Gini Mean Difference0.620714285714285
Leik Measure of Dispersion0.505299092469188
Index of Diversity0.988091462086423
Index of Qualitative Variation0.999996178497103
Coefficient of Dispersion0.0157481212962777
Observations84

\begin{tabular}{lllllllll}
\hline
Variability - Ungrouped Data \tabularnewline
Absolute range & 2.26 \tabularnewline
Relative range (unbiased) & 4.15592261424535 \tabularnewline
Relative range (biased) & 4.18088333485153 \tabularnewline
Variance (unbiased) & 0.29572086919105 \tabularnewline
Variance (biased) & 0.292200382653061 \tabularnewline
Standard Deviation (unbiased) & 0.543802233528927 \tabularnewline
Standard Deviation (biased) & 0.540555624013904 \tabularnewline
Coefficient of Variation (unbiased) & 0.0179166471010295 \tabularnewline
Coefficient of Variation (biased) & 0.0178096810877088 \tabularnewline
Mean Squared Error (MSE versus 0) & 921.523096428572 \tabularnewline
Mean Squared Error (MSE versus Mean) & 0.292200382653061 \tabularnewline
Mean Absolute Deviation from Mean (MAD Mean) & 0.481420068027211 \tabularnewline
Mean Absolute Deviation from Median (MAD Median) & 0.468214285714286 \tabularnewline
Median Absolute Deviation from Mean & 0.441785714285714 \tabularnewline
Median Absolute Deviation from Median & 0.475 \tabularnewline
Mean Squared Deviation from Mean & 0.292200382653061 \tabularnewline
Mean Squared Deviation from Median & 0.339817857142857 \tabularnewline
Interquartile Difference (Weighted Average at Xnp) & 0.859999999999999 \tabularnewline
Interquartile Difference (Weighted Average at X(n+1)p) & 0.857500000000002 \tabularnewline
Interquartile Difference (Empirical Distribution Function) & 0.859999999999999 \tabularnewline
Interquartile Difference (Empirical Distribution Function - Averaging) & 0.855 \tabularnewline
Interquartile Difference (Empirical Distribution Function - Interpolation) & 0.852499999999999 \tabularnewline
Interquartile Difference (Closest Observation) & 0.859999999999999 \tabularnewline
Interquartile Difference (True Basic - Statistics Graphics Toolkit) & 0.852500000000003 \tabularnewline
Interquartile Difference (MS Excel (old versions)) & 0.859999999999999 \tabularnewline
Semi Interquartile Difference (Weighted Average at Xnp) & 0.43 \tabularnewline
Semi Interquartile Difference (Weighted Average at X(n+1)p) & 0.428750000000001 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function) & 0.43 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function - Averaging) & 0.4275 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function - Interpolation) & 0.42625 \tabularnewline
Semi Interquartile Difference (Closest Observation) & 0.43 \tabularnewline
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit) & 0.426250000000001 \tabularnewline
Semi Interquartile Difference (MS Excel (old versions)) & 0.43 \tabularnewline
Coefficient of Quartile Variation (Weighted Average at Xnp) & 0.0141820580474934 \tabularnewline
Coefficient of Quartile Variation (Weighted Average at X(n+1)p) & 0.0141402481757843 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function) & 0.0141820580474934 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging) & 0.0140984417511749 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation) & 0.0140566387732388 \tabularnewline
Coefficient of Quartile Variation (Closest Observation) & 0.0141820580474934 \tabularnewline
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit) & 0.0140566387732388 \tabularnewline
Coefficient of Quartile Variation (MS Excel (old versions)) & 0.0141820580474934 \tabularnewline
Number of all Pairs of Observations & 3486 \tabularnewline
Squared Differences between all Pairs of Observations & 0.591441738382103 \tabularnewline
Mean Absolute Differences between all Pairs of Observations & 0.620714285714283 \tabularnewline
Gini Mean Difference & 0.620714285714285 \tabularnewline
Leik Measure of Dispersion & 0.505299092469188 \tabularnewline
Index of Diversity & 0.988091462086423 \tabularnewline
Index of Qualitative Variation & 0.999996178497103 \tabularnewline
Coefficient of Dispersion & 0.0157481212962777 \tabularnewline
Observations & 84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230010&T=1

[TABLE]
[ROW][C]Variability - Ungrouped Data[/C][/ROW]
[ROW][C]Absolute range[/C][C]2.26[/C][/ROW]
[ROW][C]Relative range (unbiased)[/C][C]4.15592261424535[/C][/ROW]
[ROW][C]Relative range (biased)[/C][C]4.18088333485153[/C][/ROW]
[ROW][C]Variance (unbiased)[/C][C]0.29572086919105[/C][/ROW]
[ROW][C]Variance (biased)[/C][C]0.292200382653061[/C][/ROW]
[ROW][C]Standard Deviation (unbiased)[/C][C]0.543802233528927[/C][/ROW]
[ROW][C]Standard Deviation (biased)[/C][C]0.540555624013904[/C][/ROW]
[ROW][C]Coefficient of Variation (unbiased)[/C][C]0.0179166471010295[/C][/ROW]
[ROW][C]Coefficient of Variation (biased)[/C][C]0.0178096810877088[/C][/ROW]
[ROW][C]Mean Squared Error (MSE versus 0)[/C][C]921.523096428572[/C][/ROW]
[ROW][C]Mean Squared Error (MSE versus Mean)[/C][C]0.292200382653061[/C][/ROW]
[ROW][C]Mean Absolute Deviation from Mean (MAD Mean)[/C][C]0.481420068027211[/C][/ROW]
[ROW][C]Mean Absolute Deviation from Median (MAD Median)[/C][C]0.468214285714286[/C][/ROW]
[ROW][C]Median Absolute Deviation from Mean[/C][C]0.441785714285714[/C][/ROW]
[ROW][C]Median Absolute Deviation from Median[/C][C]0.475[/C][/ROW]
[ROW][C]Mean Squared Deviation from Mean[/C][C]0.292200382653061[/C][/ROW]
[ROW][C]Mean Squared Deviation from Median[/C][C]0.339817857142857[/C][/ROW]
[ROW][C]Interquartile Difference (Weighted Average at Xnp)[/C][C]0.859999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Weighted Average at X(n+1)p)[/C][C]0.857500000000002[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function)[/C][C]0.859999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function - Averaging)[/C][C]0.855[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function - Interpolation)[/C][C]0.852499999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Closest Observation)[/C][C]0.859999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (True Basic - Statistics Graphics Toolkit)[/C][C]0.852500000000003[/C][/ROW]
[ROW][C]Interquartile Difference (MS Excel (old versions))[/C][C]0.859999999999999[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Weighted Average at Xnp)[/C][C]0.43[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Weighted Average at X(n+1)p)[/C][C]0.428750000000001[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function)[/C][C]0.43[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function - Averaging)[/C][C]0.4275[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function - Interpolation)[/C][C]0.42625[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Closest Observation)[/C][C]0.43[/C][/ROW]
[ROW][C]Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)[/C][C]0.426250000000001[/C][/ROW]
[ROW][C]Semi Interquartile Difference (MS Excel (old versions))[/C][C]0.43[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Weighted Average at Xnp)[/C][C]0.0141820580474934[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Weighted Average at X(n+1)p)[/C][C]0.0141402481757843[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function)[/C][C]0.0141820580474934[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)[/C][C]0.0140984417511749[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)[/C][C]0.0140566387732388[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Closest Observation)[/C][C]0.0141820580474934[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)[/C][C]0.0140566387732388[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (MS Excel (old versions))[/C][C]0.0141820580474934[/C][/ROW]
[ROW][C]Number of all Pairs of Observations[/C][C]3486[/C][/ROW]
[ROW][C]Squared Differences between all Pairs of Observations[/C][C]0.591441738382103[/C][/ROW]
[ROW][C]Mean Absolute Differences between all Pairs of Observations[/C][C]0.620714285714283[/C][/ROW]
[ROW][C]Gini Mean Difference[/C][C]0.620714285714285[/C][/ROW]
[ROW][C]Leik Measure of Dispersion[/C][C]0.505299092469188[/C][/ROW]
[ROW][C]Index of Diversity[/C][C]0.988091462086423[/C][/ROW]
[ROW][C]Index of Qualitative Variation[/C][C]0.999996178497103[/C][/ROW]
[ROW][C]Coefficient of Dispersion[/C][C]0.0157481212962777[/C][/ROW]
[ROW][C]Observations[/C][C]84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230010&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 range2.26
Relative range (unbiased)4.15592261424535
Relative range (biased)4.18088333485153
Variance (unbiased)0.29572086919105
Variance (biased)0.292200382653061
Standard Deviation (unbiased)0.543802233528927
Standard Deviation (biased)0.540555624013904
Coefficient of Variation (unbiased)0.0179166471010295
Coefficient of Variation (biased)0.0178096810877088
Mean Squared Error (MSE versus 0)921.523096428572
Mean Squared Error (MSE versus Mean)0.292200382653061
Mean Absolute Deviation from Mean (MAD Mean)0.481420068027211
Mean Absolute Deviation from Median (MAD Median)0.468214285714286
Median Absolute Deviation from Mean0.441785714285714
Median Absolute Deviation from Median0.475
Mean Squared Deviation from Mean0.292200382653061
Mean Squared Deviation from Median0.339817857142857
Interquartile Difference (Weighted Average at Xnp)0.859999999999999
Interquartile Difference (Weighted Average at X(n+1)p)0.857500000000002
Interquartile Difference (Empirical Distribution Function)0.859999999999999
Interquartile Difference (Empirical Distribution Function - Averaging)0.855
Interquartile Difference (Empirical Distribution Function - Interpolation)0.852499999999999
Interquartile Difference (Closest Observation)0.859999999999999
Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.852500000000003
Interquartile Difference (MS Excel (old versions))0.859999999999999
Semi Interquartile Difference (Weighted Average at Xnp)0.43
Semi Interquartile Difference (Weighted Average at X(n+1)p)0.428750000000001
Semi Interquartile Difference (Empirical Distribution Function)0.43
Semi Interquartile Difference (Empirical Distribution Function - Averaging)0.4275
Semi Interquartile Difference (Empirical Distribution Function - Interpolation)0.42625
Semi Interquartile Difference (Closest Observation)0.43
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.426250000000001
Semi Interquartile Difference (MS Excel (old versions))0.43
Coefficient of Quartile Variation (Weighted Average at Xnp)0.0141820580474934
Coefficient of Quartile Variation (Weighted Average at X(n+1)p)0.0141402481757843
Coefficient of Quartile Variation (Empirical Distribution Function)0.0141820580474934
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)0.0140984417511749
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)0.0140566387732388
Coefficient of Quartile Variation (Closest Observation)0.0141820580474934
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)0.0140566387732388
Coefficient of Quartile Variation (MS Excel (old versions))0.0141820580474934
Number of all Pairs of Observations3486
Squared Differences between all Pairs of Observations0.591441738382103
Mean Absolute Differences between all Pairs of Observations0.620714285714283
Gini Mean Difference0.620714285714285
Leik Measure of Dispersion0.505299092469188
Index of Diversity0.988091462086423
Index of Qualitative Variation0.999996178497103
Coefficient of Dispersion0.0157481212962777
Observations84



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')