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Author

*The author of this computation has been verified*

R Software Module

rwasp_skewness_kurtosis.wasp

Title produced by software

Skewness and Kurtosis Test

Date of computation

Tue, 06 Dec 2011 15:31:57 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/06/t1323203533cwae1txnfw4ho5v.htm/, Retrieved Mon, 29 Apr 2024 01:44:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151912, Retrieved Mon, 29 Apr 2024 01:44:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

247

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Data Series] [] [2008-12-14 11:54:22] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMPD    [Skewness and Kurtosis Test] [] [2011-12-06 20:31:57] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- RM        [Skewness and Kurtosis Test] [] [2011-12-17 14:20:59] [d0c153a232569da05656a074c1bdec10] 
- RM        [Skewness and Kurtosis Test] [] [2011-12-22 13:37:42] [9b13650c94c5192ca5135ec8a1fa39f7] 
- R P       [Skewness and Kurtosis Test] [] [2011-12-22 16:34:27] [2d3d135c7070430a7cc2b1c9a86f42b1] 
- R         [Skewness and Kurtosis Test] [Deel 2 - tijdreek...] [2011-12-23 01:07:02] [43a132f5d1d3e2c258a569e3803c6f06] 
-   P       [Skewness and Kurtosis Test] [sk] [2012-11-26 22:03:30] [dbdfdab7c884aa7a69290945f2923e51] 
- R P       [Skewness and Kurtosis Test] [] [2012-12-07 20:08:58] [ec67509cb0a58a77552cc42e4bdf733e] 
-   P       [Skewness and Kurtosis Test] [paper] [2012-12-19 19:18:45] [fa543719fe3f8358943b948de15add90] 
- R P       [Skewness and Kurtosis Test] [WS 9] [2013-12-04 09:45:34] [a33425df4f50c4c8e40ef78287b40411] 
- RMP       [Skewness and Kurtosis Test] [Blog 9] [2014-11-26 13:28:53] [cac6c5fb035463be46c296b46e439cb5] 
- RMPD      [ARIMA Forecasting] [Blog 10] [2014-11-26 13:34:20] [cac6c5fb035463be46c296b46e439cb5] 
- RMP       [Skewness and Kurtosis Test] [dddddd] [2014-11-26 13:39:18] [a21a52637ee232286cdd7eb4387e60d4] 
- RM        [Skewness and Kurtosis Test] [] [2014-11-26 15:18:26] [d253a55552bf9917a397def3be261e30] 
- RMP       [Skewness and Kurtosis Test] [WS 9] [2014-11-26 16:03:26] [36781f05c04c55e165b348994b753b95] 
- RM        [Skewness and Kurtosis Test] [] [2014-11-26 19:39:19] [2b9d0c54c8c845c625e475ed5f1f3af1] 
- RMP       [Skewness and Kurtosis Test] [WS9 SHW] [2014-11-27 08:54:58] [cac6c5fb035463be46c296b46e439cb5] 
- RMP       [Skewness and Kurtosis Test] [] [2014-11-27 09:23:02] [3cc57788b191749bdc089f5fad42e0f8] 
- RMP       [Skewness and Kurtosis Test] [w9 kurtosis] [2014-11-27 10:33:35] [673773038936aef3a5778d7e6bda5c1e] 
- RMP       [Skewness and Kurtosis Test] [jmkjmkjm] [2014-11-27 22:09:10] [56d77bf8347cfd1e104fa9098ce46dbd] 

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0.0589999409995141
-1.41417450501306
-18.3846475755861
4.24266776527226
-9.89940750475467
-1.41416601970523
-4.94968147844429
8.48527118362683
5.65684722004823
2.12135156036077
-12.7278137906086
-1.41417238368611
-5.65678640867546
5.71546709301464
11.430917448217
4.0824915417843
-5.71542749248443
-4.89893277693375
5.30722585896545
-8.98140023237252
-0.816480018948223
-3.67419274460486
2.44950292718234
-7.34841447478369
-12.2473676641251
13.5676795115537
-7.50550178552387
-10.1035605510469
4.61879420118808
-12.9903024874634
3.7527758629083
-14.1450008210891
-2.30938107887528
-11.2582591729112
-4.33008822361948
1.29908651985677e-05
16.454417696876
7.82621147962468
4.02491438422167
-8.72060773063855
-0.894411455568734
-0.223594253653449
-6.93176357788012
-2.01244265593132
-7.1553761680782
0.223617958497356
8.27342503551901
15.2051986751483
2.90688653528183
-12.7801213366766
-3.10373653589491
-7.1203466912372
-3.46888342810694
-8.3983624583384
2.55603701106735
0.182580385499283
10.5892565952768
15.7013138196074
6.75522353446613
5.11206123957597
8.76352852127385

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151912&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151912&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151912&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Skewness and Kurtosis Test
> agostino D'Agostino skewness test data: x skew = 0.1410, z = 0.3242, p-value = 0.7458 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 2.4653, z = -0.8145, p-value = 0.4153 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 0.9289, p-value = 0.6285 alternative hypothesis: greater
> geary [1] 0.8151647

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.1410, z = 0.3242, p-value = 0.7458
alternative hypothesis: data have a skewness 
 \tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.4653, z = -0.8145, p-value = 0.4153
alternative hypothesis: kurtosis is not equal to 3 
 \tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.9289, p-value = 0.6285
alternative hypothesis: greater 
 \tabularnewline
> geary
[1] 0.8151647
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151912&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]> agostino
	D'Agostino skewness test
data:  x 
skew = 0.1410, z = 0.3242, p-value = 0.7458
alternative hypothesis: data have a skewness 
[/C][/ROW]
[ROW][C]> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.4653, z = -0.8145, p-value = 0.4153
alternative hypothesis: kurtosis is not equal to 3 
[/C][/ROW]
[ROW][C]> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.9289, p-value = 0.6285
alternative hypothesis: greater 
[/C][/ROW]
[ROW][C]> geary
[1] 0.8151647
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151912&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151912&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 = 0.1410, z = 0.3242, p-value = 0.7458 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 2.4653, z = -0.8145, p-value = 0.4153 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 0.9289, p-value = 0.6285 alternative hypothesis: greater
> geary [1] 0.8151647

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code