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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_kendall.wasp
Title produced by softwareKendall tau Rank Correlation
Date of computationWed, 14 Dec 2016 15:49:17 +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/Dec/14/t14817269717g1vj6i2fr1fuol.htm/, Retrieved Fri, 03 May 2024 18:36:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299518, Retrieved Fri, 03 May 2024 18:36:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Rank Correlation] [] [2016-12-14 14:49:17] [b7b12d6257d20c3ae3b596da588d7d29] [Current]
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Dataseries X:
3	4	5	4	4	4	1
4	5	4	4	5	5	0
4	5	5	4	5	5	0
4	4	2	4	5	4	0
4	4	5	3	5	4	0
4	4	4	3	4	5	0
3	3	5	4	4	5	0
4	4	5	4	2	5	0
3	4	5	4	4	5	1
3	4	5	4	4	5	0
5	5	4	3	4	4	1
4	4	4	4	5	4	1
3	4	5	3	4	5	1
4	4	4	4	5	5	1
4	4	5	4	4	5	0
4	4	5	4	4	4	1
4	4	5	4	4	5	1
3	4	4	4	4	4	0
3	4	4	3	5	5	0
4	4	4	4	4	4	0
2	4	5	4	5	5	0
5	4	4	4	4	4	0
4	3	5	4	4	4	0
4	5	5	4	5	5	0
5	4	5	4	4	5	1
4	3	5	4	NA	5	0
2	3	5	4	5	4	0
4	5	2	4	4	4	1
3	4	5	4	4	4	0
4	3	5	3	4	5	0
4	3	3	4	4	4	1
4	4	5	4	4	4	0
5	4	4	4	4	4	0
4	5	5	4	5	5	1
3	3	4	4	4	4	1
5	5	5	3	5	5	1
5	4	5	3	4	4	1
4	4	4	3	4	5	1
4	4	4	4	4	4	1
3	5	5	3	3	4	1
4	4	4	4	5	4	1
4	5	5	4	4	4	1
5	5	2	4	5	4	0
5	5	5	4	4	4	1
4	3	5	4	5	5	0
4	3	4	3	4	5	1
4	4	5	4	4	4	1
3	4	4	3	3	4	0
3	4	4	4	4	3	1
4	4	4	3	5	4	0
4	4	4	4	5	4	0
5	5	3	4	5	5	1
2	4	4	4	5	5	0
4	4	4	4	5	5	1
3	4	4	4	2	4	1
4	4	5	4	5	5	1
4	2	4	4	4	4	1
4	4	4	3	5	3	0
4	4	4	3	5	4	1
5	4	5	3	3	5	0
3	4	4	3	5	5	1
3	4	4	3	4	5	0
4	5	5	5	5	4	1
4	4	3	4	NA	4	1
4	4	4	4	4	4	1
4	4	4	5	5	4	0
3	4	3	4	4	4	1
4	4	4	4	5	4	0
3	4	5	3	5	5	1
3	3	5	4	4	5	0
4	3	5	4	4	4	1
4	4	5	4	4	5	0
3	3	3	4	4	4	1
4	4	4	4	5	4	1
4	4	3	4	5	5	0
4	4	4	4	5	5	0
5	4	4	4	4	4	0
5	4	3	5	4	5	1
4	4	5	4	5	5	1
3	4	5	4	4	5	1
3	NA	4	4	4	4	1
4	2	3	3	4	4	1
4	4	5	4	4	3	0
4	4	5	4	4	5	1
4	4	4	4	5	4	0
4	5	4	4	5	3	0
3	4	4	3	5	5	0
4	4	5	4	4	5	0
5	4	3	4	4	5	1
5	4	5	5	4	5	1
4	5	4	4	5	5	1
5	3	4	4	5	5	0
4	4	5	4	4	5	1
5	4	4	4	4	5	1
3	4	4	3	NA	4	0
5	4	4	5	5	5	0
4	4	5	3	NA	5	1
4	4	3	3	4	3	1
4	4	5	4	4	4	1
4	4	5	4	4	4	1
3	4	5	4	5	3	0
4	4	4	4	4	4	0
4	4	4	3	4	5	0
3	3	4	3	5	5	1
4	4	4	3	4	4	1
3	4	5	4	4	4	1
4	4	5	4	3	4	0
5	4	5	1	5	5	0
5	4	5	4	5	5	1
4	4	4	4	4	3	0
4	4	5	3	4	4	0
3	4	4	3	4	5	1
4	4	4	4	4	4	0
4	4	4	4	5	4	0
4	5	3	4	4	4	0
3	4	4	4	4	4	1
4	4	4	3	4	4	1
4	4	4	4	4	5	1
3	4	3	3	4	4	1
4	4	4	3	4	3	1
3	2	4	2	4	4	0
4	4	4	3	5	4	0
5	4	4	3	5	4	1
2	4	4	3	3	5	1
3	3	4	4	4	4	1
4	4	4	3	4	4	0
5	5	4	4	5	4	1
4	5	5	4	4	4	0
5	5	5	5	5	4	0
4	5	5	4	5	5	0
4	4	4	3	4	5	0
3	4	5	4	5	4	1
4	4	5	4	4	4	0
4	4	2	4	4	4	0
4	4	3	4	5	5	0
4	4	4	4	5	5	0
5	4	5	3	5	4	1
4	3	5	4	4	4	0
4	4	5	4	4	4	1
3	3	2	3	4	4	1
4	5	5	4	4	3	1
4	4	4	3	4	4	1
4	4	4	4	4	5	0
3	4	5	3	5	5	0
4	4	5	4	4	5	0
5	4	5	4	5	4	0
4	4	5	4	3	4	1
2	3	5	4	4	4	1
4	4	4	4	4	5	1
4	3	4	3	5	5	1
4	4	4	4	4	3	0
4	5	5	5	4	4	1
5	4	3	4	4	4	0
5	4	4	3	4	4	1
3	3	1	4	5	5	0
4	4	4	4	4	5	0
4	4	4	4	5	4	0
2	3	4	5	5	4	0
Dataseries Y:
16
17
17
17
15
16
14
16
17
16
15
17
16
15
16
15
17
14
16
15
16
16
13
15
17
15
13
17
15
14
14
18
15
17
13
16
15
15
16
15
13
17
18
17
11
14
13
15
17
16
15
17
16
16
16
15
12
17
14
14
16
15
15
13
13
17
15
16
14
15
17
16
10
16
17
17
20
17
18
15
17
14
15
17
16
17
15
16
18
18
16
17
15
13
15
17
16
16
15
16
16
13
15
12
19
16
16
17
16
14
15
14
16
15
17
15
16
16
15
15
11
16
18
13
11
16
18
15
19
17
13
14
16
13
17
14
19
14
16
12
16
16
15
12
15
17
13
15
18
15
18
15
15
16
13
16
13
16




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=299518&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=299518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299518&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('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')