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R Software Module

rwasp_skewness_kurtosis.wasp

Title produced by software

Skewness and Kurtosis Test

Date of computation

Thu, 01 Feb 2018 10:43:40 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Feb/01/t1517478235a3xqtuu90mepw3z.htm/, Retrieved Mon, 29 Apr 2024 01:09:54 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 29 Apr 2024 01:09:54 +0200

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big 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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

Skewness and Kurtosis Test
> agostino D'Agostino skewness test data: x skew = -0.070159, z = -0.397430, p-value = 0.691 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 3.4186, z = 1.2682, p-value = 0.2047 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 1.4537, p-value = 0.4834 alternative hypothesis: greater
> geary [1] 0.7939493

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.070159, z = -0.397430, p-value = 0.691
alternative hypothesis: data have a skewness
 \tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.4186, z = 1.2682, p-value = 0.2047
alternative hypothesis: kurtosis is not equal to 3
 \tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.4537, p-value = 0.4834
alternative hypothesis: greater
 \tabularnewline
> geary
[1] 0.7939493
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]> agostino
	D'Agostino skewness test
data:  x
skew = -0.070159, z = -0.397430, p-value = 0.691
alternative hypothesis: data have a skewness
[/C][/ROW]
[ROW][C]> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.4186, z = 1.2682, p-value = 0.2047
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW]
[ROW][C]> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.4537, p-value = 0.4834
alternative hypothesis: greater
[/C][/ROW]
[ROW][C]> geary
[1] 0.7939493
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a 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 = -0.070159, z = -0.397430, p-value = 0.691 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 3.4186, z = 1.2682, p-value = 0.2047 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 1.4537, p-value = 0.4834 alternative hypothesis: greater
> geary [1] 0.7939493

Parameters (Session):

par1 = 11212FALSE111111112001 ; par2 = 2Single1Do not include Seasonal Dummies2Do not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal Dummies5Do not include Seasonal Dummies ; par3 = 3additive0No Linear TrendPearson Chi-SquaredNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear Trend0No Linear Trend ; par4 = TRUE121000P1 P5 Q1 Q3 P95 P99P1 P5 Q1 Q3 P95 P990 ; par5 = 120000 ; par6 = 01212121212121212 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;

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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code