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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 computationThu, 12 Dec 2024 09:07:16 +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/2024/Dec/12/t1733990886o8uc4d403j2i2gc.htm/, Retrieved Sat, 01 Aug 2026 17:35:02 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 01 Aug 2026 17:35:02 +0200
QR Codes:

Original text written by user:dgsa
IsPrivate?No (this computation is public)
User-defined keywordsdsG
Estimated Impact0
Dataseries X:
15843
15.748.70
15900
15838
15582.1
15570
15643.6
15616
15713.7
15683
15667
15281
15487.8
15475
15399.4
15382.1
15501.3
15612.8
15495
15560
15466.5
15259
15407
15549.3
15437.4
15519.9
15457
15480
15500
15560.2
15647
15569
15275
15468
15282.8
15454.4
15455
15518
15440
15409.2
15460
15400
15373
15425
15383.1
15383
15498
15555
15511
15477.5
15495.5
15534.5
15555
15556.5
15503.2
15546
15625
15624
15613.1
15601
15655.5
15715
15714.5
15808
15767.6
15828
15785
15769
15726
15727.2
15711.5
15733
15647
15660.3
15598
15579.5
15661.5
15553.1
15672
15628.6
15634
15661
15642
15588
15586.1
15638.5
15653
15712.2
15704
15691.9
15766
15751.5
15668
15621
15536.3
15518
15546
15574
15630
15639.3
15743
15718
15687
15723.5
15802.6
15784
15828
15877
15877
15848
15945.8
15955
15936
15904.5
15881
15918
15892.3
15998.2
16007
16111
16075
16312.2
16246
16220
16210.3
16246
16140.2
16220
16202
16203
16246
16273
16190.4
16097
16077
16034
16073
16074
16030
16038
16121
16102
15914
15930.8
15958
16031
16005
16040.7
16095
16038
16071
16117
16232.1
16228
16243
16203
16276
16315
16241.7
16270
16312
16305.4
16230
16286
16479.9
16479
16379
16380.9
16491.9
16443
16394.1
16401
16434
16374.4
16343
16390
16391
16340
16328.5
16245
16277.2
16277
16198
16104
16108
16195
16173
16138
16185
16206
16220.2
16222
16246
16337.8
16283
16301.7
16328.5
16255
16281
16012
16208
16152.3
16023
15979
15918
15949.1
15749
15619.5
15755
15683
15523
15442
15484
15728.5
15377.2
15462.6
15467.1
15440
15444.8
15525
15520.1
15532.9
15444.4
15417
15405
15456.8
15489
15437
15418.7
15393
15385
15345
15300.2
15197.6
15154
15174.1
15121.1
15201.5
15070
15118
15170.6
15260.6
15324
15457
15650
15744
15682.4
15664.6
15670.9
15562
15573
15578.6
15583.9
15493
15467
15556
15586
15663
15621.5
15688.1
15747
15768




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time0 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(fitdistrplus)
x <- as.numeric(na.omit(x))
bitmap(file='plot1.png')
plotdist(x, histo = TRUE, demp = TRUE)
dev.off()
bitmap(file='plot.png')
descdist(x, boot = 1000)
dev.off()