Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

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

Wed, 04 Dec 2013 08:16:52 -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/2013/Dec/04/t1386163030sjrpsv3ye3s53cz.htm/, Retrieved Tue, 23 Apr 2024 23:43:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230587, Retrieved Tue, 23 Apr 2024 23:43:06 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

107

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

-     [(Partial) Autocorrelation Function] [WS 9 - d en D zoeken] [2013-12-01 17:42:26] [f54a697f8d9d4d386a0fa4641cbce0b9]
- RMPD    [Skewness and Kurtosis Test] [WS 9 - Kurtosis] [2013-12-04 13:16:52] [e5eda3cc50f4d89e40bb52bce43bc7fc] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

9,2519165021477700
22,2914871230951000
-37,1571787649763000
34,2241616969560000
-175,7914077233690000
104,9760837880910000
-61,2440566193924000
-396,7296705199910000
-396,4443981159500000
-260,0093162506190000
127,9690108389240000
-36,0298439908650000
204,1383693047720000
44,2385868220351000
-159,7062875865580000
203,1351380140120000
121,7565242401950000
-16,2019122127222000
-243,9008100164380000
391,6948428108540000
-164,2301675092280000
293,8211840355430000
150,1976556071950000
-191,0274890375130000
251,8423217530370000
-153,3748812044940000
8,1840259602576600
276,1970369319000000
7,4935640416714600
290,3101335840170000
154,7090152986450000
-344,5632159525820000
-268,8126246698540000
308,7880073528660000
53,4487117440643000
309,7451584514370000
86,3072721974973000
-34,8646306292142000
196,5617703101340000
226,5135122868370000
-188,0025901642620000
-58,5622808860067000
209,1480596873730000
145,9690997131140000
129,4017523844170000
-33,0299340425404000
-386,0498082130190000
144,2485012802840000
117,1389647704940000
129,8971180442860000
-152,2186889068030000
-55,0236881931042000
144,0221360767120000
-16,8566548271110000
144,6858045733700000
-160,2029736349430000
329,6206509205720000
138,3173761131970000
9,0003836842157900
50,5918463806914000
313,8752975196370000
236,9076376074890000
110,0513290511830000
-383,8489474627510000

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230587&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230587&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230587&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Skewness and Kurtosis Test
> agostino D'Agostino skewness test data: x skew = -0.4499, z = -1.0238, p-value = 0.3059 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 2.4771, z = -0.8206, p-value = 0.4119 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 2.8883, p-value = 0.2359 alternative hypothesis: greater
> geary [1] 0.8168303

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.4499, z = -1.0238, p-value = 0.3059
alternative hypothesis: data have a skewness
 \tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.4771, z = -0.8206, p-value = 0.4119
alternative hypothesis: kurtosis is not equal to 3
 \tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 2.8883, p-value = 0.2359
alternative hypothesis: greater
 \tabularnewline
> geary
[1] 0.8168303
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230587&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]> agostino
	D'Agostino skewness test
data:  x
skew = -0.4499, z = -1.0238, p-value = 0.3059
alternative hypothesis: data have a skewness
[/C][/ROW]
[ROW][C]> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.4771, z = -0.8206, p-value = 0.4119
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW]
[ROW][C]> jarque
	Jarque-Bera Normality Test
data:  x
JB = 2.8883, p-value = 0.2359
alternative hypothesis: greater
[/C][/ROW]
[ROW][C]> geary
[1] 0.8168303
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230587&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230587&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 = -0.4499, z = -1.0238, p-value = 0.3059 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 2.4771, z = -0.8206, p-value = 0.4119 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 2.8883, p-value = 0.2359 alternative hypothesis: greater
> geary [1] 0.8168303

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code