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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 computationTue, 22 Nov 2016 15:08:34 +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/2016/Nov/22/t14798237988ydokapr7772it6.htm/, Retrieved Sun, 05 May 2024 15:33:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296941, Retrieved Sun, 05 May 2024 15:33:23 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness-Kurtosis Plot] [Skewness-Kurtosis...] [2016-11-22 14:08:34] [563c2945bc7c763925d38f2fb19cdb55] [Current]
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Dataseries X:
6830.2
4108.8
3131.6
7008
1276.8
6554.6
4387.6
4651.8
6192.2
4645.4
4540
5115.2
6776.2
4455
2579
7855.2
866.6
6406.4
4479.6
5164
6308.2
5124.8
4958.4
5410.8
7570.4
4753.8
3406.2
10495.2
723.6
6954
5429.6
5155.2
6930
6119
4681.2
6040
8226
5075.4
2514.4
9024
1964
7282.4
6287.6
5152.8
7425
6224.6
4824.4
6716.8
9293.2
4561
2848
14370
1855
8104.2
6377.8
5376.8
7959.4
6485.8
5007.8
7307.4
8797.4
5130.2
4127.4
10666.8
3591.6
9218.4
5158.2
6388.4
8356.8
6257.4
5964.4
7934.6
9725.4
4685.4
3553.8
13706.6
5067.2
9975.2
5875.4
7386.4
9005.2
7098.6
6889.6
7477
11208.8
5766
2634.8
14875
4293.4
9927.8
6658
7286.8
9332.8
8138.2
5431.2
9294.2
10176.4
5585.8
2257.6
15553.6
2402.4
8903.4
7680.6
6912
9595.8
7866.4
6397.4
8344.4
12090.2
4442.6
3900.6
13598.6
2402.4
10614.4
7019.6
6943






Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=296941&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]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [ROW]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=296941&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296941&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 Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.



Parameters (Session):
par1 = 200 ; par2 = 5 ; par3 = 0 ; par4 = P1 P5 Q1 Q3 P95 P99 ;
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()