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Author's title

Author*Unverified author*
R Software Modulerwasp_concentration.wasp
Title produced by softwareConcentration and Inequality
Date of computationSun, 15 Oct 2023 14:45:30 +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/2023/Oct/15/t1697374944gfrk39w555abten.htm/, Retrieved Sun, 07 Jun 2026 06:18:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319960, Retrieved Sun, 07 Jun 2026 06:18:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact279
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Concentration and Inequality] [] [2023-10-15 12:45:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
145
150
153
158
158
160
163
164
168
168
170
170
175
176
177
178
180
180
185
201




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=319960&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=319960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319960&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 Categories20
Maximum Entropy2.99573227355399
Entropy2.99282767154874
Normalised Entropy0.999030420030892
Max. Entropy - Entropy0.00290460200524745
Theil Entropy Index0.00290460200524758
Exponential Index0.0501454412224418
Herfindahl0.0502919123135856
Normalised Herfindahl0.000307276119563804
Rosenbluth0.0522232353986678
Gini0.0425717667949097
Concentration0.044812386099905
Ricci-Schutz (Pietra)0.0303344184670021
Atkinson0.00144969497602987
Kolm20.9613210504241
Coefficient of Variation0.0764084175448775
Squared Coefficient of Variation0.00583824627171235

\begin{tabular}{lllllllll}
\hline
Concentration - Ungrouped Data \tabularnewline
Measure & Value \tabularnewline
Number of Categories & 20 \tabularnewline
Maximum Entropy & 2.99573227355399 \tabularnewline
Entropy & 2.99282767154874 \tabularnewline
Normalised Entropy & 0.999030420030892 \tabularnewline
Max. Entropy - Entropy & 0.00290460200524745 \tabularnewline
Theil Entropy Index & 0.00290460200524758 \tabularnewline
Exponential Index & 0.0501454412224418 \tabularnewline
Herfindahl & 0.0502919123135856 \tabularnewline
Normalised Herfindahl & 0.000307276119563804 \tabularnewline
Rosenbluth & 0.0522232353986678 \tabularnewline
Gini & 0.0425717667949097 \tabularnewline
Concentration & 0.044812386099905 \tabularnewline
Ricci-Schutz (Pietra) & 0.0303344184670021 \tabularnewline
Atkinson & 0.00144969497602987 \tabularnewline
Kolm & 20.9613210504241 \tabularnewline
Coefficient of Variation & 0.0764084175448775 \tabularnewline
Squared Coefficient of Variation & 0.00583824627171235 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319960&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]20[/C][/ROW]
[ROW][C]Maximum Entropy[/C][C]2.99573227355399[/C][/ROW]
[ROW][C]Entropy[/C][C]2.99282767154874[/C][/ROW]
[ROW][C]Normalised Entropy[/C][C]0.999030420030892[/C][/ROW]
[ROW][C]Max. Entropy - Entropy[/C][C]0.00290460200524745[/C][/ROW]
[ROW][C]Theil Entropy Index[/C][C]0.00290460200524758[/C][/ROW]
[ROW][C]Exponential Index[/C][C]0.0501454412224418[/C][/ROW]
[ROW][C]Herfindahl[/C][C]0.0502919123135856[/C][/ROW]
[ROW][C]Normalised Herfindahl[/C][C]0.000307276119563804[/C][/ROW]
[ROW][C]Rosenbluth[/C][C]0.0522232353986678[/C][/ROW]
[ROW][C]Gini[/C][C]0.0425717667949097[/C][/ROW]
[ROW][C]Concentration[/C][C]0.044812386099905[/C][/ROW]
[ROW][C]Ricci-Schutz (Pietra)[/C][C]0.0303344184670021[/C][/ROW]
[ROW][C]Atkinson[/C][C]0.00144969497602987[/C][/ROW]
[ROW][C]Kolm[/C][C]20.9613210504241[/C][/ROW]
[ROW][C]Coefficient of Variation[/C][C]0.0764084175448775[/C][/ROW]
[ROW][C]Squared Coefficient of Variation[/C][C]0.00583824627171235[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319960&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 Categories20
Maximum Entropy2.99573227355399
Entropy2.99282767154874
Normalised Entropy0.999030420030892
Max. Entropy - Entropy0.00290460200524745
Theil Entropy Index0.00290460200524758
Exponential Index0.0501454412224418
Herfindahl0.0502919123135856
Normalised Herfindahl0.000307276119563804
Rosenbluth0.0522232353986678
Gini0.0425717667949097
Concentration0.044812386099905
Ricci-Schutz (Pietra)0.0303344184670021
Atkinson0.00144969497602987
Kolm20.9613210504241
Coefficient of Variation0.0764084175448775
Squared Coefficient of Variation0.00583824627171235



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')