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Author*The author of this computation has been verified*
R Software Modulerwasp_skewness_kurtosis.wasp
Title produced by softwareSkewness and Kurtosis Test
Date of computationWed, 17 Dec 2014 11:37:28 +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/17/t141881626341s159z6ogodeh2.htm/, Retrieved Thu, 16 May 2024 11:59:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270054, Retrieved Thu, 16 May 2024 11:59:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [] [2014-12-17 11:37:28] [f235c2d73cdbd6a2c0ce149cb9653e7d] [Current]
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Dataseries X:
2.30029
-2.01519
2.52711
2.22086
-3.97976
-2.94852
-0.567349
3.47672
2.37571
-1.27568
-2.19839
0.651883
-4.90719
0.977013
-1.12813
-2.06362
1.91872
-0.194241
-1.07981
-1.80686
0.596544
-3.02168
1.1571
-0.156993
2.61382
0.579659
-1.63741
1.4656
2.51411
-0.0623072
1.38906
-1.44365
0.733905
-3.22162
-0.96308
-2.6318
0.576187
-0.123547
0.236232
1.57654
-2.45944
-0.0659127
-3.08039
-0.0976121
2.72816
0.778528
3.16367
-0.858196
1.64739
-3.62092
3.89447
3.07934
0.847176
-2.5384
1.35078
1.35493
2.57508
0.118342
-4.57767
4.02577
-0.338648
2.68961
-1.70307
2.02455
-1.71509
3.91698
-1.32356
-0.289272
-2.04986
1.01253
3.09557
1.08138
-0.652767
2.00154
-1.58265
2.76259
-3.66192
1.61229
1.11701
2.37151
1.22327
-0.841182
-2.24652
-0.235684
3.02738
-0.24866
-4.84747
-1.10159
0.338866
0.530314
0.752641
-1.68981
2.31397
3.16809
-3.87182
-0.583239
-1.8417
-2.48686
-0.397937
-3.21873
2.59622
4.50646
-2.81087
1.36424
-0.422133
-1.38361
-1.11406
3.43798
-2.39834
2.96395
-4.94548
-2.40899
-0.959882
1.14423
1.59293




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270054&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270054&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270054&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.1733, z = -0.5252, p-value = 0.5994
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2480, z = -2.3669, p-value = 0.01794
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.2855, p-value = 0.1935
alternative hypothesis: greater
> geary
[1] 0.8382194

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.1733, z = -0.5252, p-value = 0.5994
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2480, z = -2.3669, p-value = 0.01794
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.2855, p-value = 0.1935
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8382194
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=270054&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.1733, z = -0.5252, p-value = 0.5994
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2480, z = -2.3669, p-value = 0.01794
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.2855, p-value = 0.1935
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8382194
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=270054&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270054&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 = -0.1733, z = -0.5252, p-value = 0.5994
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2480, z = -2.3669, p-value = 0.01794
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.2855, p-value = 0.1935
alternative hypothesis: greater
> geary
[1] 0.8382194



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')