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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 computationMon, 15 Dec 2014 10:11:48 +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/15/t1418638363ttvczyk418h1dww.htm/, Retrieved Thu, 16 May 2024 21:49:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268018, Retrieved Thu, 16 May 2024 21:49:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSkewness Kurtosis Permanente evaluatie positieve waarden
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [Paper data] [2014-12-15 10:11:48] [99d5c1073827aabbadf7ab1e7da1d584] [Current]
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Dataseries X:
-0.725341
-0.411403
0.6432
-0.152354
0.0533685
-0.0197973
-0.525883
0.259168
-0.632157
-0.706569
0.196562
0.765131
-0.716441
-0.558399
-0.109449
0.203195
0.486991
-0.329013
0.452704
-0.827272
-0.722295
-0.0227425
-0.303096
0.0410223
0.13443
1.35772
0.0731798
0.0970604
-0.255824
0.969976
0.56071
-0.24641
-0.590503
-0.366784
-0.350326
0.931925
-1.16966
0.0912828
0.43002
0.439337
-0.946567
-0.210042
0.514589
-0.495406
-0.291015
0.0107061
-0.664898
-0.757115
-0.577558
-0.250752
-0.0943843
0.489113
0.579163
0.613475
0.323984
0.195811
-0.372142
-0.0186117
-0.0729617
-0.00495819
-0.0854279
0.791128
-0.747697
-0.348254
-0.348254
0.741935
-0.0514595
0.368845
-0.0186991
-0.159826
0.56527
-0.533154
0.175945
0.727667
1.00286
0.713698
0.405516
0.266341
-0.683508
1.117
-0.920066
-0.550048
-0.114937
0.905176
-0.332806
0.0797511
0.238652
0.983043
-0.0405516
0.920891
0.0229058
-0.243527
-0.662264
-0.0766027
-0.205424
-0.100026
0.321198
-0.0797859
0.607202
0.176275
0.801045
-0.783747
-0.475552
-0.972188
0.182732
-0.641859
-0.549266
0.18976
-1.3534
-0.178226
-1.00237
-0.0705181
0.532427
-1.03214
-0.865365
1.24822
0.315697
1.33372
0.96805
-0.259072
0.338187
0.562541
0.886966
0.173912
-0.276963
0.114759
-0.982051
-0.800096
0.820453
0.48094
0.212339
1.26222
-0.118127
0.951806
-0.330538
0.323984
1.11512
-0.82943
-0.944334
-0.3144
1.21621
0.453994
0.105787
0.239371
0.738288
-0.801248
0.0600418
-0.0277984
-0.119039
-0.761657
0.275411
-0.624479
0.363738
0.195811
-1.12318
-0.406065
-0.330538
0.137055
-0.439215
-0.282663
1.16495
0.245576
-0.0745747
-1.02512
0.625998
0.738609
0.258787
-0.625798
-0.549318
-0.233456
-0.675389




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=268018&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=268018&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268018&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 = 0.1669, z = 0.6070, p-value = 0.5439
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.3929, z = -2.1214, p-value = 0.03389
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.4205, p-value = 0.1808
alternative hypothesis: greater
> geary
[1] 0.8156721

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = 0.1669, z = 0.6070, p-value = 0.5439
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.3929, z = -2.1214, p-value = 0.03389
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.4205, p-value = 0.1808
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8156721
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=268018&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = 0.1669, z = 0.6070, p-value = 0.5439
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.3929, z = -2.1214, p-value = 0.03389
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.4205, p-value = 0.1808
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8156721
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=268018&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268018&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 = 0.1669, z = 0.6070, p-value = 0.5439
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.3929, z = -2.1214, p-value = 0.03389
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.4205, p-value = 0.1808
alternative hypothesis: greater
> geary
[1] 0.8156721



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')