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Author*The author of this computation has been verified*
R Software Modulerwasp_kendall.wasp
Title produced by softwareKendall tau Rank Correlation
Date of computationWed, 11 Nov 2009 03:05:15 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/11/t1257933973w2xnvycyz7ikvvp.htm/, Retrieved Thu, 25 Apr 2024 22:03:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55455, Retrieved Thu, 25 Apr 2024 22:03:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [Workshop 5: Bivar...] [2009-10-30 14:46:53] [1433a524809eda02c3198b3ae6eebb69]
- RMPD    [Kendall tau Rank Correlation] [Rev1-BivEDA-Corre...] [2009-11-11 10:05:15] [36295456a56d4c7dcc9b9537ce63463b] [Current]
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Dataseries X:
0.461486645
-0.004084972
-0.022949858
0.314235793
0.719086015
0.519010603
0.214639302
0.724751373
0.947471981
0.942293662
1.06557672
0.290473814
0.466120842
0.844038098
0.614769703
0.262528017
-0.351824955
0.049966352
0.053616259
-0.321937027
-0.471965568
-0.57493886
-0.966618095
-0.889742211
-0.735032602
-0.678409402
-0.695641924
-0.471580389
-0.516139175
-0.668427732
-1.285444229
-1.261260411
-1.324871567
-1.625105921
-1.023530639
-0.655808986
-0.185705033
0.171733303
0.570691931
0.710504447
1.116546865
1.045570694
2.012784886
2.471584571
2.54198808
2.135458622
2.675297587
2.315305706
1.513051716
1.066878896
0.546485598
0.446071879
-0.873384
-1.141009819
-2.342678843
-3.455050932
-4.154431398
-3.353127131
-2.63931828
Dataseries Y:
0.005146
-0.016437
0.006005
0.008702
0.006065
0.016797
0.020605
0.048558
0.041351
0.028252
0.051707
0.037076
0.046126
0.038562
0.043101
0.040678
0.010128
0.028543
0.010615
-0.000725
0.020013
0.009351
0.004490
0.023993
0.009841
0.011276
0.004274
0.009074
0.014261
0.011233
0.013814
0.031786
0.020695
-0.006130
0.024601
0.025193
-0.021078
-0.016113
-0.014245
0.009134
-0.047135
-0.022520
-0.009361
-0.021052
-0.027148
-0.041973
-0.052227
-0.071104
-0.052942
-0.067569
-0.068452
-0.049375
-0.037657
-0.020642
-0.011183
-0.016302
-0.010016
-0.012496
-0.602865




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55455&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55455&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'Gwilym Jenkins' @ 72.249.127.135







Kendall tau Rank Correlation
Kendall tau-0.057860903441906
2-sided p-value0.521607279777527
Score-99
Var(Score)23383.666015625
Denominator1710.99987792969

\begin{tabular}{lllllllll}
\hline
Kendall tau Rank Correlation \tabularnewline
Kendall tau & -0.057860903441906 \tabularnewline
2-sided p-value & 0.521607279777527 \tabularnewline
Score & -99 \tabularnewline
Var(Score) & 23383.666015625 \tabularnewline
Denominator & 1710.99987792969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55455&T=1

[TABLE]
[ROW][C]Kendall tau Rank Correlation[/C][/ROW]
[ROW][C]Kendall tau[/C][C]-0.057860903441906[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.521607279777527[/C][/ROW]
[ROW][C]Score[/C][C]-99[/C][/ROW]
[ROW][C]Var(Score)[/C][C]23383.666015625[/C][/ROW]
[ROW][C]Denominator[/C][C]1710.99987792969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55455&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Kendall tau Rank Correlation
Kendall tau-0.057860903441906
2-sided p-value0.521607279777527
Score-99
Var(Score)23383.666015625
Denominator1710.99987792969



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library('Kendall')
k <- Kendall(x,y)
bitmap(file='test1.png')
par(bg=rgb(0.2,0.4,0.6))
plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='test2.png')
par(bg=rgb(0.2,0.4,0.6))
plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kendall tau',header=TRUE)
a<-table.element(a,k$tau)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'2-sided p-value',header=TRUE)
a<-table.element(a,k$sl)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Score',header=TRUE)
a<-table.element(a,k$S)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Var(Score)',header=TRUE)
a<-table.element(a,k$varS)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Denominator',header=TRUE)
a<-table.element(a,k$D)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')