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Author*Unverified author*
R Software Modulerwasp_concentration.wasp
Title produced by softwareConcentration and Inequality
Date of computationWed, 09 Sep 2020 21:45:23 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Sep/09/t1599680961kr3tos7az7spnfa.htm/, Retrieved Fri, 26 Apr 2024 20:33:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319238, Retrieved Fri, 26 Apr 2024 20:33:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Concentration and Inequality] [] [2020-09-09 19:45:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
14357
16948
17541
21457
22872
23633
29734
36589
37073
49339
50001
50714




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319238&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319238&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Concentration - Ungrouped Data
MeasureValue
Number of Categories12
Maximum Entropy2.484906649788
Entropy2.39725376479864
Normalised Entropy0.964725884170805
Max. Entropy - Entropy0.0876528849893585
Theil Entropy Index0.0876528849893582
Exponential Index0.0909674285281812
Herfindahl0.0980860581503109
Normalised Herfindahl0.016093881618521
Rosenbluth0.108970755559375
Gini0.235268830563193
Concentration0.256656906068938
Ricci-Schutz (Pietra)0.187549852625287
Atkinson0.043892021178208
KolmInf
Coefficient of Variation0.420752537489355
Squared Coefficient of Variation0.177032697803731

\begin{tabular}{lllllllll}
\hline
Concentration - Ungrouped Data \tabularnewline
Measure & Value \tabularnewline
Number of Categories & 12 \tabularnewline
Maximum Entropy & 2.484906649788 \tabularnewline
Entropy & 2.39725376479864 \tabularnewline
Normalised Entropy & 0.964725884170805 \tabularnewline
Max. Entropy - Entropy & 0.0876528849893585 \tabularnewline
Theil Entropy Index & 0.0876528849893582 \tabularnewline
Exponential Index & 0.0909674285281812 \tabularnewline
Herfindahl & 0.0980860581503109 \tabularnewline
Normalised Herfindahl & 0.016093881618521 \tabularnewline
Rosenbluth & 0.108970755559375 \tabularnewline
Gini & 0.235268830563193 \tabularnewline
Concentration & 0.256656906068938 \tabularnewline
Ricci-Schutz (Pietra) & 0.187549852625287 \tabularnewline
Atkinson & 0.043892021178208 \tabularnewline
Kolm & Inf \tabularnewline
Coefficient of Variation & 0.420752537489355 \tabularnewline
Squared Coefficient of Variation & 0.177032697803731 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319238&T=1

[TABLE]
[ROW][C]Concentration - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][/ROW]
[ROW][C]Number of Categories[/C][C]12[/C][/ROW]
[ROW][C]Maximum Entropy[/C][C]2.484906649788[/C][/ROW]
[ROW][C]Entropy[/C][C]2.39725376479864[/C][/ROW]
[ROW][C]Normalised Entropy[/C][C]0.964725884170805[/C][/ROW]
[ROW][C]Max. Entropy - Entropy[/C][C]0.0876528849893585[/C][/ROW]
[ROW][C]Theil Entropy Index[/C][C]0.0876528849893582[/C][/ROW]
[ROW][C]Exponential Index[/C][C]0.0909674285281812[/C][/ROW]
[ROW][C]Herfindahl[/C][C]0.0980860581503109[/C][/ROW]
[ROW][C]Normalised Herfindahl[/C][C]0.016093881618521[/C][/ROW]
[ROW][C]Rosenbluth[/C][C]0.108970755559375[/C][/ROW]
[ROW][C]Gini[/C][C]0.235268830563193[/C][/ROW]
[ROW][C]Concentration[/C][C]0.256656906068938[/C][/ROW]
[ROW][C]Ricci-Schutz (Pietra)[/C][C]0.187549852625287[/C][/ROW]
[ROW][C]Atkinson[/C][C]0.043892021178208[/C][/ROW]
[ROW][C]Kolm[/C][C]Inf[/C][/ROW]
[ROW][C]Coefficient of Variation[/C][C]0.420752537489355[/C][/ROW]
[ROW][C]Squared Coefficient of Variation[/C][C]0.177032697803731[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319238&T=1

As an alternative you can also use a QR Code:  

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

Concentration - Ungrouped Data
MeasureValue
Number of Categories12
Maximum Entropy2.484906649788
Entropy2.39725376479864
Normalised Entropy0.964725884170805
Max. Entropy - Entropy0.0876528849893585
Theil Entropy Index0.0876528849893582
Exponential Index0.0909674285281812
Herfindahl0.0980860581503109
Normalised Herfindahl0.016093881618521
Rosenbluth0.108970755559375
Gini0.235268830563193
Concentration0.256656906068938
Ricci-Schutz (Pietra)0.187549852625287
Atkinson0.043892021178208
KolmInf
Coefficient of Variation0.420752537489355
Squared Coefficient of Variation0.177032697803731



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(ineq)
my_minimum <- min(x)
if(my_minimum < 0) {
stop('Negative values are not allowed.')
}
myLength <- length(x)
myMaximumEntropy <- log(myLength)
mySum <- sum(x)
myProportion <- x/mySum
myEntropy <- -sum(myProportion * log(myProportion))
myNormalizedEntropy <- myEntropy / myMaximumEntropy
myDifference <- myMaximumEntropy - myEntropy
myTheilEntropyIndex <- entropy(x,parameter=1,na.rm=T)
myExponentialIndex <- exp(-myEntropy)
myHerfindahlMeasure <- sum(myProportion^2)
myHerfindahl <- conc(x,type='Herfindahl',na.rm=T)
myRosenbluth <- conc(x,type='Rosenbluth',na.rm=T)
myNormalizedHerfindahlMeasure <- (myHerfindahlMeasure - 1/myLength) / (1 - 1/myLength)
myGini <- Gini(x,na.rm=T)
myConcentrationCoefficient <- myLength/(myLength -1)*myGini
myRS <- RS(x,na.rm=T)
myAtkinson <- Atkinson(x,na.rm=T)
myKolm <- Kolm(x,na.rm=T)
myCoefficientOfVariation <- var.coeff(x,square=F,na.rm=T)
mySquaredCoefficientOfVariation <- var.coeff(x,square=T,na.rm=T)
bitmap(file='plot1.png')
plot(Lc(x))
grid()
dev.off()
bitmap(file='plot2.png')
plot(Lc(x),general=T)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Concentration - Ungrouped Data',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Categories',header=F)
a<-table.element(a,myLength,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Maximum Entropy',header=F)
a<-table.element(a,myMaximumEntropy,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Entropy',header=F)
a<-table.element(a,myEntropy,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Normalised Entropy',header=F)
a<-table.element(a,myNormalizedEntropy,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Max. Entropy - Entropy',header=F)
a<-table.element(a,myDifference,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Theil Entropy Index',header=F)
a<-table.element(a,myTheilEntropyIndex,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exponential Index',header=F)
a<-table.element(a,myExponentialIndex,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Herfindahl',header=F)
a<-table.element(a,myHerfindahl,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Normalised Herfindahl',header=F)
a<-table.element(a,myNormalizedHerfindahlMeasure,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Rosenbluth',header=F)
a<-table.element(a,myRosenbluth,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Gini',header=F)
a<-table.element(a,myGini,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Concentration',header=F)
a<-table.element(a,myConcentrationCoefficient,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ricci-Schutz (Pietra)',header=F)
a<-table.element(a,myRS,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Atkinson',header=F)
a<-table.element(a,myAtkinson,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kolm',header=F)
a<-table.element(a,myKolm,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Coefficient of Variation',header=F)
a<-table.element(a,myCoefficientOfVariation,header=F)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Squared Coefficient of Variation',header=F)
a<-table.element(a,mySquaredCoefficientOfVariation,header=F)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')