Free Statistics

of Irreproducible Research!

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 computationTue, 20 Dec 2011 13:39:20 -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/2011/Dec/20/t132440646138rt2az16fj49ca.htm/, Retrieved Thu, 02 May 2024 06:35:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158140, Retrieved Thu, 02 May 2024 06:35:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Paper, Pearson Co...] [2011-12-18 12:42:54] [75512e061a94450f738c2449abbaac12]
-   P   [Kendall tau Correlation Matrix] [Paper, Kendall's ...] [2011-12-19 10:46:53] [75512e061a94450f738c2449abbaac12]
- RMP     [Multiple Regression] [Paper, 3.3 Meervo...] [2011-12-19 15:22:52] [75512e061a94450f738c2449abbaac12]
- RMPD        [Skewness and Kurtosis Test] [paper, skewness a...] [2011-12-20 18:39:20] [242bbde8f74d68805b56d9ecebfdbe63] [Current]
- RMPD          [Recursive Partitioning (Regression Trees)] [paper, regression...] [2011-12-20 18:49:03] [75512e061a94450f738c2449abbaac12]
- RMPD          [Variance Reduction Matrix] [paper, VRM] [2011-12-20 19:23:13] [75512e061a94450f738c2449abbaac12]
- RMPD          [Standard Deviation-Mean Plot] [Paper, SMP] [2011-12-20 19:35:42] [75512e061a94450f738c2449abbaac12]
- RMPD          [Spectral Analysis] [paper, CP (d=0, D=1)] [2011-12-20 19:45:28] [75512e061a94450f738c2449abbaac12]
- R P             [Spectral Analysis] [CP] [2012-12-17 14:42:53] [c19fc719a172e69332289836fdae123a]
- RMPD          [Spectral Analysis] [Paper, CP (d=D=0)] [2011-12-20 19:46:40] [75512e061a94450f738c2449abbaac12]
- R P             [Spectral Analysis] [CP] [2012-12-17 14:34:33] [c19fc719a172e69332289836fdae123a]
- RMPD          [(Partial) Autocorrelation Function] [paper, ACF (d=D=0)] [2011-12-20 19:52:37] [75512e061a94450f738c2449abbaac12]
- R P             [(Partial) Autocorrelation Function] [ACF] [2012-12-17 14:55:19] [c19fc719a172e69332289836fdae123a]
- RMPD          [(Partial) Autocorrelation Function] [paper, ACF (d=0, ...] [2011-12-20 20:05:28] [75512e061a94450f738c2449abbaac12]
- R P             [(Partial) Autocorrelation Function] [ACF] [2012-12-17 15:00:59] [c19fc719a172e69332289836fdae123a]
- R  D          [Skewness and Kurtosis Test] [skewness] [2011-12-23 08:45:14] [74be16979710d4c4e7c6647856088456]
-    D          [Skewness and Kurtosis Test] [Skewness and kurt...] [2012-12-19 13:32:00] [c19fc719a172e69332289836fdae123a]
- RMPD          [Multiple Regression] [Seasonal Dummie] [2012-12-19 14:16:28] [c19fc719a172e69332289836fdae123a]
- RMPD          [Multiple Regression] [Dummie variabele] [2012-12-19 14:27:53] [c19fc719a172e69332289836fdae123a]
Feedback Forum

Post a new message
Dataseries X:
30284.1995330302
1752.66929294338
-14129.5830379121
-25318.5960880854
-22492.2765764208
-38600.2100271515
-6373.89184935605
-8946.31776441532
-6380.69329641039
39056.7930818296
-15156.7139759921
-4391.87830689984
-31634.8069614461
-5917.40897375979
21634.4710215375
12301.9586344988
-24192.5368123481
169.808985391398
-52955.7749462876
-24500.8775203974
-22160.8962622259
-18025.3595489005
58837.1784736426
-25367.242182663
-2298.98889995109
25611.5905317178
-5479.01945472296
-12408.3692028427
67555.3519263282
9235.98743178649
26431.3075824796
25190.7418692401
-11031.3066712822
43692.91477409
-7727.56355521307
-9526.41795391828
47788.2730888341
-15482.2997353988
-6335.34839005415
-5389.48332992871
17465.0849288859
-8339.20148865928
-2441.47079931885
2344.04207759026
-3823.21393199353
19781.7141833722
-3307.43980933547
33111.3593606876
-10106.9243450377
-8770.68811280777
-5781.15209026461
-6602.46524103765
49682.4913175866
62988.0637266148
16465.5548997083
-8647.69703575041
43151.1859137599
-9351.9690821716
-11364.4691931812
22130.3313526832
1081.61122212154
-32317.6796134832
13547.966080393
-6155.48141394448
24764.6675946399
-25459.8960140223
-49651.4186514212
-54314.5442890259
-7342.09878518566
-914.183301874799
18500.0596317631
6253.53264677315
-12951.8515166559
8646.69143670036
-34307.5314083708
-16185.2453504075
-29373.3497753635
-69845.3797964989
-8778.153655284
-11793.3358945391
-11428.7206364529
78527.4430964136
-11837.0471804685
-12241.5829786871
-12366.3861390385
4201.38165815732
-19818.6863575957
-21596.6681194523
2198.91545346288
4603.51826000927
-12355.9177373286
-22531.0875916805
21190.6639591245
12764.5589663764
-17804.9125391155
4313.29989158728
29058.0072362883
-8324.40211223558
25097.8618251515
-4569.97339362053
7185.47140386885
-18849.674134691
27117.593708477
2977.13706381936
-2378.52481395662
-9226.53079265632
-7697.43961891371
33300.1047514616
-9345.53773591229
4579.49753281931
-1631.51816125261
4594.45067474066
-2396.29675946105
-2960.41270507962
-9610.81510066239
-9345.53773591229
34289.0307927286
-604.218281922242
7134.08817435033
9768.56428191791
-206.89691005615
2928.19775444985
4633.45252364034
14549.4918096003
14131.1877427585
-10502.107816016
-9169.79570858865
13667.0425581965
9998.78746846316
-8697.36103383159
-3928.80200550174
22330.4564952321
-4194.39482797022
27854.7425421878
-6125.79868816608
2946.70107361665
-9345.53773591229
12636.9680924209
-22926.1291497626
-5082.8502405434
-12518.3305018768
-757.682801905738
923.141727663306
-6431.08115376762




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158140&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158140&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158140&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'Herman Ole Andreas Wold' @ wold.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.5449, z = 1.7399, p-value = 0.08187
alternative hypothesis: data have a skewness 
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 4.6435, z = 2.8607, p-value = 0.004227
alternative hypothesis: kurtosis is not equal to 3 
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 23.3311, p-value = 8.585e-06
alternative hypothesis: greater 
> geary
[1] 0.7303842

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.5449, z = 1.7399, p-value = 0.08187
alternative hypothesis: data have a skewness 
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 4.6435, z = 2.8607, p-value = 0.004227
alternative hypothesis: kurtosis is not equal to 3 
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 23.3311, p-value = 8.585e-06
alternative hypothesis: greater 
\tabularnewline
> geary
[1] 0.7303842
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=158140&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.5449, z = 1.7399, p-value = 0.08187
alternative hypothesis: data have a skewness 
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 4.6435, z = 2.8607, p-value = 0.004227
alternative hypothesis: kurtosis is not equal to 3 
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 23.3311, p-value = 8.585e-06
alternative hypothesis: greater 
[/C][/ROW] [ROW][C]
> geary
[1] 0.7303842
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=158140&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158140&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 = 0.5449, z = 1.7399, p-value = 0.08187
alternative hypothesis: data have a skewness 
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 4.6435, z = 2.8607, p-value = 0.004227
alternative hypothesis: kurtosis is not equal to 3 
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 23.3311, p-value = 8.585e-06
alternative hypothesis: greater 
> geary
[1] 0.7303842



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')