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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 computationThu, 18 Dec 2014 20:06:20 +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/18/t1418933189fdeg17f21nuw8rv.htm/, Retrieved Fri, 17 May 2024 17:32:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271269, Retrieved Fri, 17 May 2024 17:32:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Skewness and Kurtosis Test] [] [2014-11-04 10:14:29] [32b17a345b130fdf5cc88718ed94a974]
- R  D  [Skewness and Kurtosis Test] [Jarquesken is nen...] [2014-12-16 19:27:25] [189b7d469e4e3b4e868a6af83e3b3816]
-    D      [Skewness and Kurtosis Test] [jarq] [2014-12-18 20:06:20] [e89b1602ca7c278e2fffead05eac818b] [Current]
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Dataseries X:
-5.30823
0.76324
1.33807
1.77555
-0.376148
0.964856
-1.06002
1.6326
-3.15526
2.47945
0.820465
3.581
-3.0655
-1.02943
0.411023
-1.73529
1.66317
0.867733
0.218266
-1.12885
0.880074
-0.388497
0.423763
-1.02808
2.77675
-3.61509
0.456282
-0.175065
-0.435984
1.3612
-2.09054
1.35638
0.823164
0.0304102
0.634124
-1.69461
-2.13725
-0.325812
-2.37998
1.12794
-5.91538
0.478872
1.21124
0.293174
2.52378
-0.0496553
1.14511
1.67883
-0.727682
-0.629514
2.41617
1.16629
-0.459805
4.27081
2.02694
0.777302
1.43356
2.24761
0.309473
-2.41373
0.620469
2.47991
-0.806887
-0.259918
-0.259918
1.87313
-1.6663
1.99828
-0.899536
-3.0435
-1.88848
-0.35569
1.6315
-0.613772
-3.96581
0.400241
3.2387
-1.64511
-0.123347
-0.212464
0.151183
0.814392
-2.46566
2.27833
1.27646
1.56143
-2.74007
-0.126986
2.68562
0.71428
1.23864
1.51075
-1.53829
0.563822
-1.75966
2.8499
-2.03814
2.27799
0.55613
0.919111
0.970809
1.12234
0.087913
-2.71026
0.231378
-0.555661
-1.51188
1.35806
0.256198
1.5548
0.392722
0.468437
1.03116
-2.94414
-0.0655995
-0.360228
2.22548
2.25931
0.813942
3.44724
1.5241
1.64829
1.64889
1.22629
0.838504
-2.98932
-2.19028
-5.57311
0.570393
-3.18796
-1.42919
-1.589
-1.63436
-2.83218
1.20251
2.02694
1.44826
0.17122
0.367219
-0.391122
-1.32359
-1.13829
-2.12217
-3.40761
-2.36024
1.56904
1.00275
-2.84496
1.78776
-3.24984
-5.30793
-1.32492
-6.54227
0.777302
0.589258
-2.13636
1.20251
1.78348
0.699862
1.92275
0.167095
2.2224
0.103301
2.75922
-0.304219
0.548995
1.64706
0.552986
0.953534
1.37082
-0.79585




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271269&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271269&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271269&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'Sir Maurice George Kendall' @ kendall.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.8117, z = -2.6517, p-value = 0.008009
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.6979, z = 1.7694, p-value = 0.07683
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.2481, p-value = 1.475e-05
alternative hypothesis: greater
> geary
[1] 0.7876732

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.8117, z = -2.6517, p-value = 0.008009
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.6979, z = 1.7694, p-value = 0.07683
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.2481, p-value = 1.475e-05
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.7876732
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=271269&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.8117, z = -2.6517, p-value = 0.008009
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.6979, z = 1.7694, p-value = 0.07683
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.2481, p-value = 1.475e-05
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.7876732
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=271269&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271269&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 = -0.8117, z = -2.6517, p-value = 0.008009
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.6979, z = 1.7694, p-value = 0.07683
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.2481, p-value = 1.475e-05
alternative hypothesis: greater
> geary
[1] 0.7876732



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')