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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 23:12:13 +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/t1418685141dzqua4wwzkgshoi.htm/, Retrieved Thu, 16 May 2024 06:18:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269100, Retrieved Thu, 16 May 2024 06:18:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-15 16:34:59] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD    [Skewness and Kurtosis Test] [] [2014-12-15 23:12:13] [023a69c6c348bca0f1811b046758af62] [Current]
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Dataseries X:
1.19014
-3.84982
0.847881
0.680933
-5.18172
-4.60132
-2.72573
2.27409
1.22495
-1.35467
-6.01337
-1.43149
-8.0785
-0.931756
-1.45418
-3.41495
0.0455309
-1.83304
-2.78172
-2.60291
-1.44698
-5.31476
0.761316
-2.40202
1.77741
-0.856857
-3.97654
2.83178
2.39662
-1.05621
-0.581613
-3.4783
-1.61295
-5.38263
-3.2865
-4.72369
-1.7051
-2.56339
-1.18679
-0.0710296
-2.8525
-2.46651
-4.63475
-2.56168
1.40282
-1.65574
1.95287
-2.08758
-0.593689
-3.15832
2.86924
1.43352
-0.348852
-4.3291
-2.24118
-0.514112
-0.209718
-3.25873
-5.96673
2.18483
-1.4913
1.65679
-3.22552
0.846044
-3.05668
2.19576
-2.07576
-1.4201
-2.94841
-0.282069
1.58111
1.23677
-1.14262
0.130444
-2.36218
3.62547
-4.96321
-0.294649
-0.584309
1.36793
-1.41234
-1.3183
-3.63261
-0.0383094
2.89254
-0.844448
-5.67191
-0.602516
0.375179
0.617402
0.530914
-1.44632
2.3039
2.35356
-5.4166
-1.16186
-3.10261
-3.99298
-1.29273
-4.89959
0.424083
2.21619
-2.70361
-0.162489
-1.30943
-1.89695
-1.21804
2.5713
-1.79995
2.91367
-5.70649
-3.72952
-0.636812
0.879009
0.831957
-5.59545
0.186664
3.31856
2.742
0.872571
2.6556
-5.30161
3.56423
-2.10451
2.72164
0.716227
3.68922
-4.25252
-1.15361
1.09418
-4.27833
3.05685
1.71996
2.68297
-2.00327
1.24501
0.607389
0.173063
-2.11041
3.58207
-3.42874
0.780507
-2.03307
0.552247
5.71605
1.69094
1.38174
1.84303
1.35601
2.92628
0.670659
-0.443067
0.940152
-3.02837
1.82916
-5.26559
2.12465
2.53606
-0.543418
2.08862
0.227444
2.78434
1.0086
-2.45627
-0.644869
5.86531
-1.60823
3.18527
5.32511
5.315
0.504051
2.73913
4.61424
-0.548991
-2.61186
0.902738
4.93735
1.93309
-0.747196
-0.747196
4.2017
-0.360073
2.40747
2.51207
-4.66302
-0.333387
0.455726
1.92756
1.57871
1.0341
2.3964
5.12646
0.955596
2.31746
0.0973935
-1.07571
2.96491
-1.15377
5.04821
1.59005
0.226384
-2.2477
0.266434
3.61393
3.62592
1.68086
1.71865
0.422887
0.467121
0.573933
3.50446
-3.45657
1.66502
-0.218839
2.87541
2.45252
1.48311
2.23467
-3.2325
-2.74934
-0.829607
-0.962329
3.01998
0.768528
3.17676
-0.139798
0.0982817
1.35847
-4.77064
0.478217
4.16833
3.01572
3.44214
3.71533
2.94791
3.61805
3.93191
5.30498
2.34153
1.41291
-0.302584
-1.93173
-6.66604
1.37893
-2.34672
-1.60526
1.05489
-1.43631
-2.41972
3.33463
5.315
5.89022
-0.575618
-0.852672
1.80625
1.62074
0.95301
0.177011
-0.567039
-2.30596
0.170914
2.22606
-0.389632
1.45939
-2.19051
-7.03734
1.32801
-3.47498
0.504051
0.508727
-2.64323
3.33463
2.05762
0.512222
0.544716
4.25728
4.70219
0.731762
3.70614
1.12055
1.14767
1.34143
2.61247
1.27324
1.98508
-2.6409




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269100&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269100&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269100&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'Gertrude Mary Cox' @ cox.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2959, z = -1.3530, p-value = 0.1761
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7040, z = -1.0224, p-value = 0.3066
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 5.2174, p-value = 0.07363
alternative hypothesis: greater
> geary
[1] 0.8134692

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2959, z = -1.3530, p-value = 0.1761
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7040, z = -1.0224, p-value = 0.3066
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 5.2174, p-value = 0.07363
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8134692
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=269100&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2959, z = -1.3530, p-value = 0.1761
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7040, z = -1.0224, p-value = 0.3066
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 5.2174, p-value = 0.07363
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8134692
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=269100&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269100&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 = -0.2959, z = -1.3530, p-value = 0.1761
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7040, z = -1.0224, p-value = 0.3066
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 5.2174, p-value = 0.07363
alternative hypothesis: greater
> geary
[1] 0.8134692



Parameters (Session):
par1 = TRUE ;
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')