Free Statistics

of Irreproducible Research!

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, 23 Nov 2016 11:53:29 +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/23/t1479898417av3p94qt1dpfxgk.htm/, Retrieved Mon, 06 May 2024 17:40:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296983, Retrieved Mon, 06 May 2024 17:40:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Rank Correlation] [] [2016-11-23 10:53:29] [d06ec19b175650a2a09ee5879d174acf] [Current]
Feedback Forum

Post a new message
Dataseries X:
5	5	4	1
3	3	2	5
5	5	3	1
5	4	2	2
5	4	2	1
5	5	3	4
5	3	3	1
5	5	2	1
5	5	2	1
5	5	4	2
4	5	2	1
2	4	2	4
5	4	3	1
4	5	2	5
5	5	3	2
4	5	2	1
5	4	2	NA
5	5	NA	NA
5	5	3	2
4	5	2	1
4	5	2	4
3	4	3	1
5	5	1	2
4	4	2	3
5	5	3	1
4	4	2	4
5	5	2	2
5	4	3	3
5	5	5	1
5	5	2	4
5	5	5	1
5	5	2	1
5	5	2	1
5	4	4	1
5	4	1	3
4	4	2	4
4	4	2	2
5	5	3	4
5	5	2	2
5	5	3	2
5	5	2	1
5	5	3	1
5	5	4	1
5	5	4	5
5	5	3	1
5	5	2	1
5	4	2	1
NA	NA	1	NA
4	5	4	1
5	5	4	1
5	5	3	2
4	4	2	2
5	5	2	2
3	4	2	2
4	3	2	3
3	3	3	1
5	4	2	NA
5	5	2	2
5	5	3	1
5	4	3	3
5	5	2	3
5	5	2	1
5	5	4	1
5	5	4	2
4	4	3	1
5	5	4	3
4	4	4	3
5	5	4	NA
2	2	4	4
4	3	5	4
5	5	3	2
5	5	4	1
4	3	4	1
5	5	2	1
2	3	2	3
5	4	3	2
3	3	4	1
4	5	2	1
4	4	5	1
5	5	1	1
5	5	3	1
4	4	3	1
4	4	2	3
5	5	2	1
4	5	1	4
4	4	2	2
5	5	1	4
5	5	2	1
5	5	2	1
4	4	2	1
4	4	2	2
4	4	3	5
3	3	2	3
4	4	1	4
5	5	1	1
5	5	3	4
4	4	2	4
5	5	3	2
2	2	1	3
5	5	2	1
5	5	2	1
4	4	3	4
3	5	2	4
5	5	2	1
4	4	3	3
5	5	1	1
5	5	4	5
5	5	3	2
5	5	2	2
5	5	3	1
4	5	3	3
5	4	3	1
5	5	4	1
5	3	3	3
4	4	2	1
5	5	3	4
5	5	2	1
2	1	1	5
5	5	1	1
5	5	2	1
5	4	4	4
5	4	3	2
5	5	2	1
5	5	2	4
5	5	3	1
5	5	3	1
4	5	3	2
3	3	2	2
5	4	2	1
5	5	2	1
5	5	3	1
5	5	4	4
4	4	2	4
4	5	2	3
4	4	1	4
5	4	3	1
4	4	3	5
NA	NA	4	3
4	4	3	2
5	5	1	3
2	2	1	3
5	5	2	1
4	4	1	4
5	5	5	1
5	5	3	1
4	4	2	3
5	4	2	3
4	2	4	2
5	5	2	4
5	5	4	4
5	5	4	2
4	4	3	4
5	5	4	4
5	5	3	2
5	4	4	1
5	5	3	1
5	5	4	1
2	2	2	3
5	5	4	3
3	3	1	4
5	5	4	1
5	4	3	NA
5	5	2	3
4	4	2	3
5	5	2	NA
5	5	4	1
5	5	3	2
5	4	3	2
5	2	2	4
Dataseries Y:
2	3	3	3
1	2	2	4
2	3	3	4
3	NA	2	3
3	NA	3	3
2	3	3	4
3	3	3	3
3	NA	3	3
3	NA	3	3
2	3	3	3
2	3	3	4
3	3	3	3
2	4	4	5
2	4	3	4
2	3	3	4
3	3	2	3
2	NA	3	5
NA	NA	NA	NA
3	1	3	2
2	NA	3	2
2	3	3	3
3	NA	3	3
2	4	3	3
3	NA	3	3
2	NA	3	4
2	NA	2	4
2	3	3	4
2	3	3	4
3	5	4	2
2	NA	3	4
3	3	3	3
2	2	2	3
2	4	3	4
2	NA	NA	2
2	4	3	4
2	3	3	4
3	NA	3	3
2	4	3	3
2	2	4	4
3	3	3	3
2	NA	2	4
3	3	3	3
2	3	3	3
3	3	3	4
2	4	3	4
NA	NA	2	3
3	NA	3	3
3	4	3	3
2	3	2	3
2	NA	1	1
3	4	3	3
2	NA	3	4
2	NA	3	4
1	1	1	2
2	NA	3	4
2	1	3	4
3	NA	3	3
2	5	3	5
3	4	3	3
4	NA	3	2
3	3	3	3
2	5	2	4
3	4	3	3
2	3	3	3
2	NA	3	4
2	NA	2	3
2	3	3	4
2	4	3	3
2	3	3	5
2	5	3	4
2	NA	2	4
2	NA	3	4
2	NA	2	2
NA	NA	3	3
1	NA	3	5
2	3	3	4
2	3	3	4
2	2	2	4
2	3	3	4
3	3	3	3
3	NA	NA	NA
2	NA	3	4
2	3	3	4
2	4	3	4
3	NA	3	3
2	5	3	4
3	1	3	3
3	3	3	3
2	NA	3	3
2	4	3	4
3	2	3	3
4	NA	3	3
3	3	3	3
3	NA	3	3
3	3	3	3
2	4	3	4
3	3	3	3
2	2	2	3
5	5	NA	NA
3	3	3	3
4	NA	3	3
2	4	4	4
2	NA	3	4
2	2	3	4
2	NA	3	4
2	NA	3	4
3	NA	NA	NA
2	NA	3	4
2	NA	3	4
3	3	3	3
3	NA	3	3
3	NA	3	3
2	NA	3	3
1	3	4	4
2	NA	3	3
2	2	2	3
2	4	3	4
2	NA	3	3
3	1	3	3
2	5	3	4
2	2	3	3
3	3	3	3
3	NA	3	3
2	3	3	3
3	NA	3	NA
3	4	3	4
4	3	3	3
2	3	3	4
2	NA	3	4
3	NA	3	3
2	2	3	3
2	NA	3	4
3	3	3	3
2	NA	2	4
2	3	3	4
NA	NA	3	NA
2	4	4	5
NA	NA	NA	NA
2	NA	2	4
1	5	2	4
3	3	3	3
2	3	2	3
3	3	3	3
2	3	3	4
2	NA	3	4
2	4	3	3
2	3	3	3
2	5	3	3
2	NA	2	3
2	NA	3	3
2	NA	3	4
2	4	3	4
3	2	3	3
2	3	3	2
2	3	2	2
3	NA	3	3
3	3	3	3
2	NA	NA	4
4	NA	3	3
2	4	3	4
2	3	3	2
2	4	3	4
4	NA	3	3
3	NA	3	3
3	NA	3	3
2	NA	2	3
2	4	3	3
2	NA	3	3
3	2	3	4




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296983&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=296983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296983&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 time1 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')