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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 computationTue, 16 Dec 2014 11:32:32 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/16/t1418729576uoxsypna3rpkbrk.htm/, Retrieved Thu, 16 May 2024 11:01:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269346, Retrieved Thu, 16 May 2024 11:01:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Skewness and Kurtosis Test] [] [2014-11-04 10:14:29] [32b17a345b130fdf5cc88718ed94a974]
- R P   [Skewness and Kurtosis Test] [] [2014-11-12 14:49:40] [c2c160edf30e228bd3a949bf24376c2c]
-   PD      [Skewness and Kurtosis Test] [] [2014-12-16 11:32:32] [18ce79f318750841a7d9877f42eaf4c3] [Current]
-    D        [Skewness and Kurtosis Test] [] [2014-12-16 13:22:03] [c2c160edf30e228bd3a949bf24376c2c]
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Dataseries X:
2.81793
-3.7695
2.26692
2.65501
-2.95495
-3.01754
1.86664
3.33395
3.18598
0.215406
0.209639
0.731318
-3.37214
-1.11341
1.04087
-4.51023
0.0295939
1.20401
-1.47691
-0.400667
-1.27215
-4.01735
3.16359
-0.0759889
3.05154
1.06519
0.189827
5.47983
2.76328
-0.222393
0.140274
-3.55904
1.03659
-5.24333
-1.95707
-1.32054
-0.373848
0.162192
-0.439303
2.21491
-0.421953
0.253092
-3.77925
1.43076
2.35931
-0.960944
1.08213
1.14207
1.62215
-2.43711
1.77703
2.01536
0.617677
-3.8108
0.693234
1.62392
3.44136
-0.485385
-6.15041
3.30769
-2.50736
3.04655
-0.671371
1.64315
-4.93185
5.53176
-1.33474
-1.59638
0.0707039
3.17965
3.81766
1.36152
1.86434
0.956332
-1.5992
5.47886
-3.57341
0.578047
-9.29672
-0.131065
-1.52942
1.12116
-1.68785
-0.229908
-0.0248321
0.910183
0.226481
-0.686409
-1.14203
0.174181
0.468887
1.0811
-0.218038
0.836169
-0.0931758
-2.12155
0.537311
-1.85707
-0.864351
0.645723
-0.597632
0.0298149
0.0362176
0.357174
0.316881
0.968185
-1.44143
0.441493
0.645483
-0.599795
0.000231886
-0.662338
-0.302285
-0.000279644
0.832388
-0.505198




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269346&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269346&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269346&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.6185, z = -1.7682, p-value = 0.07703
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 4.7959, z = 2.8009, p-value = 0.005096
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.986, p-value = 1.02e-05
alternative hypothesis: greater
> geary
[1] 0.7193804

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.6185, z = -1.7682, p-value = 0.07703
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 4.7959, z = 2.8009, p-value = 0.005096
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.986, p-value = 1.02e-05
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.7193804
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=269346&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.6185, z = -1.7682, p-value = 0.07703
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 4.7959, z = 2.8009, p-value = 0.005096
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.986, p-value = 1.02e-05
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.7193804
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=269346&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269346&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 = -0.6185, z = -1.7682, p-value = 0.07703
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 4.7959, z = 2.8009, p-value = 0.005096
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.986, p-value = 1.02e-05
alternative hypothesis: greater
> geary
[1] 0.7193804



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')