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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 computationSun, 18 Dec 2011 10:16:49 -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/2011/Dec/18/t1324221480grrhw8kz0d14auo.htm/, Retrieved Thu, 02 May 2024 07:43:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156965, Retrieved Thu, 02 May 2024 07:43:06 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Classical Decomposition] [dsfdsf] [2011-11-30 11:07:19] [892ed3eb253b46f111519e43d73f68a8]
- RMP           [Skewness and Kurtosis Test] [kjhgnbfdvs] [2011-12-14 15:25:13] [892ed3eb253b46f111519e43d73f68a8]
- R  D              [Skewness and Kurtosis Test] [tfuyglu] [2011-12-18 15:16:49] [6a186250438a2f65df3b841b0f0f477a] [Current]
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Dataseries X:
-31.0980235042716
-59.8206924271108
-83.5404637229203
-76.6837390525943
-55.7725703639553
-29.62380040276
-403.243804757836
-416.782395531722
-213.421552958589
371.566721695855
165.983275906532
542.6202623301
295.02721709437
-21.1190278168924
437.4008577275
365.294800512585
67.9306326630958
-247.788856282479
545.098074661517
-296.773620935714
352.477617436036
283.798200110577
-273.315875572704
446.06222457008
-214.72781956204
-60.4206198854663
372.155927347334
99.2591381678085
318.424339918272
125.277834109822
-327.853683550757
-432.970794551573
442.139159285423
14.3549856459813
299.040533753827
88.2365194871691
-180.537099245963
201.985172786433
193.536881410406
-313.092895033498
-152.748572628851
299.982624154345
42.4811421719933
133.842278481663
-129.830065090609
-699.373730899397
171.563382431515
-24.5384434740972
116.363164839684
-218.154308468131
-257.102541429251
98.6124781717281
-190.742241794984
198.422707475118
-145.26733998686
611.517071444689
56.0522598394018
-117.514342950461
-3.71499521678197
296.99038945692
360.610007278467
61.6319235909414
-746.579530943922




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=156965&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=156965&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156965&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 = -0.2874, z = -0.6624, p-value = 0.5077
alternative hypothesis: data have a skewness 
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.8718, z = 0.1351, p-value = 0.8925
alternative hypothesis: kurtosis is not equal to 3 
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.9102, p-value = 0.6344
alternative hypothesis: greater 
> geary
[1] 0.8102559

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x 
skew = -0.2874, z = -0.6624, p-value = 0.5077
alternative hypothesis: data have a skewness 
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.8718, z = 0.1351, p-value = 0.8925
alternative hypothesis: kurtosis is not equal to 3 
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.9102, p-value = 0.6344
alternative hypothesis: greater 
\tabularnewline
> geary
[1] 0.8102559
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=156965&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x 
skew = -0.2874, z = -0.6624, p-value = 0.5077
alternative hypothesis: data have a skewness 
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.8718, z = 0.1351, p-value = 0.8925
alternative hypothesis: kurtosis is not equal to 3 
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.9102, p-value = 0.6344
alternative hypothesis: greater 
[/C][/ROW] [ROW][C]
> geary
[1] 0.8102559
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=156965&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156965&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 = -0.2874, z = -0.6624, p-value = 0.5077
alternative hypothesis: data have a skewness 
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.8718, z = 0.1351, p-value = 0.8925
alternative hypothesis: kurtosis is not equal to 3 
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.9102, p-value = 0.6344
alternative hypothesis: greater 
> geary
[1] 0.8102559



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')