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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_skewness_kurtosis_plot.wasp
Title produced by softwareSkewness-Kurtosis Plot
Date of computationSun, 17 Dec 2017 20:23:49 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/17/t1513538697fr56odyxpry30m7.htm/, Retrieved Wed, 15 May 2024 05:30:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310048, Retrieved Wed, 15 May 2024 05:30:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact44

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness-Kurtosis Plot] [Skewness-Curtosis...] [2017-12-17 19:23:49] [0624292ea623603b59620a7164665963] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.0235487878787898
0.0418587878787879
-0.00358121212121189
0.0270787878787876
0.0194987878787877
0.0166087878787878
0.0965787878787879
-0.0503712121212122
0.0169158333333333
-0.115401212121212
0.0266287878787878
-0.0516812121212122
0.00680878787878777
0.167138787878788
-0.0688441666666667
0.0514887878787878
0.183518787878788
0.0212887878787878
0.0704787878787878
-0.0631212121212122
-0.0653412121212122
-0.0737612121212121
-0.0501812121212122
-0.0192141666666667
-0.00128416666666665
-0.0187941666666667
0.0308158333333334
0.000558787878787791
-0.00664121212121219
0.0329287878787878
-0.00533121212121216
0.0204387878787878
-0.0359612121212122
-0.0354712121212122
-0.0733112121212122
-0.0124612121212122
-0.0137912121212122
-0.144461212121212
-0.00558121212121224
0.0669258333333333
-0.0472841666666667
0.147755833333333
-0.0645841666666667
-0.0251041666666667
-0.0173041666666667
-0.0629733333333333
0.217066666666667
-0.154093333333333
0.024697142857143
0.128137142857143
0.112557142857143
0.00787714285714293
-0.0626028571428572
-0.0654828571428572
0.208747142857143
-0.0299028571428571
0.0593871428571429
0.0399671428571429
0.0586971428571428
-0.0484028571428572
-0.131672857142857
-0.0768928571428571
-0.0232628571428571
-0.176112857142857
0.167017142857143
-0.112102857142857
0.00392714285714281
0.103857142857143
-0.188432857142857

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310048&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=310048&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310048&T=0

As an alternative you can also use a QR Code:  
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 Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ; par6 = 12 ;
Parameters (R input):
R code (references can be found in the software module):
library(fitdistrplus)
bitmap(file='plot1.png')
plotdist(x, histo = TRUE, demp = TRUE)
dev.off()
bitmap(file='plot.png')
descdist(x, boot = 1000)
dev.off()