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Author*Unverified author*
R Software Module--
Title produced by softwareSkewness and Kurtosis Test
Date of computationThu, 20 Dec 2012 15:07:05 -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/2012/Dec/20/t13560340354tnlxf6dhhbmf6z.htm/, Retrieved Thu, 25 Apr 2024 10:18:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203083, Retrieved Thu, 25 Apr 2024 10:18:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Backward Selection] [] [2012-11-24 13:06:47] [391561951b5d7f721cfaa4f5575ab127]
- R  D  [ARIMA Backward Selection] [] [2012-11-24 13:21:16] [391561951b5d7f721cfaa4f5575ab127]
- RMPD    [Skewness and Kurtosis Test] [] [2012-11-24 14:06:09] [391561951b5d7f721cfaa4f5575ab127]
- RM          [Skewness and Kurtosis Test] [] [2012-12-20 20:07:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
-0.022233741935946
-0.0337049618302789
0.0483091173022536
-0.0328230112698192
-0.00129211833139745
0.0493110612449295
0.0546224665122492
-0.117861816687168
0.0964634691039859
-0.057206691269101
0.0169055095472312
0.000418453742588826
-0.0332118403822401
0.0549981998657286
0.0127322326541685
0.0610913283233975
-0.0019111424907391
0.0429458684670947
0.0883744311870188
-0.0253372305781694
0.0442751936347496
-0.0498065743387287
-0.115577586197062
0.0482822007571424
-0.0269254394285212
0.0417421106977919
0.121288318284434
0.0506920605675248
-0.0452100830718099
0.0262370611392832
-0.114723096048744
-0.0508642347280115
0.0633687372187966
-0.0541211052632598
0.0407749763734133
-0.0941128595786898
0.015435653543991
-0.055324663916535
-0.00950078905111242
-0.0107386844092742
0.0648371464786483
0.11783327215929
-0.0699628235512219
-0.0169086371785917
0.0125207069884029
-0.117606708120584
-0.12614630195538
-0.0120468227653684
0.101403460910754
0.0406400849913568
-0.0998269376329929
-0.0840652332813605
0.067433385830686
-0.0265257998508688
-0.132208402109275
-0.0634075932392397
-0.074637185996262
0.00439331775862862
0.0714154313280112
-0.00840885782343924
-0.0197141074033701
-0.0151630828547778
0.0023018283282845
0.0626848114865405
-0.0375980238509903
-0.00672354088742954
-0.0634845532183547
0.0080777000853584
0.0532357321344355
0.156246992095981
0.00428156239990805
-0.0907271168789632
0.0149871900305455
-0.0654535629443536
-0.0436503883976878
0.114006133819454
-0.0464039946737136
0.163564705337558
0.196650273011862
-0.0365294743495848
0.0551816376522701
0.0193293408632397
-0.00119475807828245
0.13824857305317
0.0326052113167632
0.0345141739983188
0.163559451703034
0.0519730070697135
-0.0978115986661146
-0.0343292816406266
0.021378350032612
-0.066554633721728
0.0439363847934594
-0.0372268476233024
0.129504606838199
-0.0475261499399805
-0.0252802111384205
-0.0255631547951124
0.0621350132274366
-0.00616652765913827
-0.036725766927999
0.0146705008550498
0.122403575135419
0.0190496624176541
0.0194296827557652
-0.0830623797931113
-0.0579912101991109
-0.0912263140235452
-0.066820349773012
0.0570150520255438
0.105734369136635
-0.0731390574093828
0.163256913206732
-0.0919587164866352
0.0533918381211822
-0.032307594418593
0.101959726283765
0.126263056913576
-0.0253694810886072
-0.00381195416068994




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203083&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203083&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203083&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.3649, z = 1.1048, p-value = 0.2692
alternative hypothesis: data have a skewness 
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.7000, z = -0.5266, p-value = 0.5985
alternative hypothesis: kurtosis is not equal to 3 
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 3.1124, p-value = 0.2109
alternative hypothesis: greater 
> geary
[1] 0.8093325

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.3649, z = 1.1048, p-value = 0.2692
alternative hypothesis: data have a skewness 
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.7000, z = -0.5266, p-value = 0.5985
alternative hypothesis: kurtosis is not equal to 3 
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 3.1124, p-value = 0.2109
alternative hypothesis: greater 
\tabularnewline
> geary
[1] 0.8093325
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=203083&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.3649, z = 1.1048, p-value = 0.2692
alternative hypothesis: data have a skewness 
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.7000, z = -0.5266, p-value = 0.5985
alternative hypothesis: kurtosis is not equal to 3 
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 3.1124, p-value = 0.2109
alternative hypothesis: greater 
[/C][/ROW] [ROW][C]
> geary
[1] 0.8093325
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=203083&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203083&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 = 0.3649, z = 1.1048, p-value = 0.2692
alternative hypothesis: data have a skewness 
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.7000, z = -0.5266, p-value = 0.5985
alternative hypothesis: kurtosis is not equal to 3 
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 3.1124, p-value = 0.2109
alternative hypothesis: greater 
> geary
[1] 0.8093325



Parameters (Session):
Parameters (R input):
par1 = ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')