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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_skewness_kurtosis.wasp
Title produced by softwareSkewness and Kurtosis Test
Date of computationThu, 13 Dec 2012 13:56:20 -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/2012/Dec/13/t1355425000zglxgpuna3rb4ox.htm/, Retrieved Sun, 28 Apr 2024 23:37:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199365, Retrieved Sun, 28 Apr 2024 23:37:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [Paper deel 4 Mult...] [2012-12-13 18:56:20] [46cc0db4bd6f6541b375e62191991224] [Current]
- R  D    [Skewness and Kurtosis Test] [Paper Deel 4: ARI...] [2012-12-14 13:08:27] [fe52c9364b5a1ce87739c78bce22047a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.101999999999999
0.113
0.166
0.176
0.1776
0.181
0.1934
0.1204
0.0644000000000001
-0.0423999999999999
-0.0808000000000001
-0.0165000000000001
-0.0459999999999998
-0.0830000000000001
-0.082
-0.08
-0.0134
0.0279999999999999
0.0254000000000001
0.0494000000000001
0.0834
0.1076
0.1372
0.0994999999999999
0.0570000000000002
0.00699999999999999
-0.03
-0.058
-0.1214
-0.153
-0.1066
-0.0886000000000001
-0.0656
0.0155999999999999
0.0122000000000001
-0.0395000000000001
-0.0339999999999997
0.00299999999999999
0.0129999999999999
0.045
0.0566000000000001
0.0650000000000001
0.0424
0.0564
0.00440000000000004
-0.00339999999999993
0.00220000000000009
-0.0435000000000001
-0.0789999999999999
-0.04
-0.0669999999999999
-0.0829999999999999
-0.0994000000000001
-0.121
-0.1546
-0.1376
-0.0866
-0.0774
-0.0708000000000001

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199365&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199365&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199365&T=0

As an alternative you can also use a QR Code:  
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'Gertrude Mary Cox' @ cox.wessa.net






Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.4089, z = 0.9045, p-value = 0.3658
alternative hypothesis: data have a skewness 

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.3311, z = -1.2091, p-value = 0.2266
alternative hypothesis: kurtosis is not equal to 3 

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 2.7445, p-value = 0.2535
alternative hypothesis: greater 

> geary
[1] 0.8300481


\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline

> agostino
	D'Agostino skewness test
data:  x 
skew = 0.4089, z = 0.9045, p-value = 0.3658
alternative hypothesis: data have a skewness 

 \tabularnewline

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.3311, z = -1.2091, p-value = 0.2266
alternative hypothesis: kurtosis is not equal to 3 

 \tabularnewline

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 2.7445, p-value = 0.2535
alternative hypothesis: greater 

 \tabularnewline

> geary
[1] 0.8300481

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199365&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.4089, z = 0.9045, p-value = 0.3658
alternative hypothesis: data have a skewness 

[/C][/ROW]
[ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.3311, z = -1.2091, p-value = 0.2266
alternative hypothesis: kurtosis is not equal to 3 

[/C][/ROW]
[ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 2.7445, p-value = 0.2535
alternative hypothesis: greater 

[/C][/ROW]
[ROW][C]
> geary
[1] 0.8300481

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199365&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199365&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.4089, z = 0.9045, p-value = 0.3658
alternative hypothesis: data have a skewness 

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.3311, z = -1.2091, p-value = 0.2266
alternative hypothesis: kurtosis is not equal to 3 

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 2.7445, p-value = 0.2535
alternative hypothesis: greater 

> geary
[1] 0.8300481


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(moments)
agostino <- agostino.test(x)
anscombe <- anscombe.test(x)
geary <- geary(x)
jarque <- jarque.test(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Skewness and Kurtosis Test',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('agostino'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('anscombe'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('geary'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')