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 computationSun, 07 Dec 2008 12:47:47 -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/2008/Dec/07/t1228679388acdkg93wo234chd.htm/, Retrieved Sun, 19 May 2024 10:08:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30278, Retrieved Sun, 19 May 2024 10:08:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Wisselkoers Dolla...] [2008-10-13 22:35:46] [bd51eba1292ec8d03a55225bfbdeaf98]
- RMPD    [Kendall tau Rank Correlation] [Kendall Tau Corre...] [2008-12-07 19:47:47] [c0a347e3519123f7eef62b705326dad9] [Current]
Feedback Forum

Post a new message
Dataseries X:
103.2
106.9
118.6
111.9
119.0
116.3
116.2
115.6
107.5
116.8
124.1
115.0
105.3
104.1
119.6
112.2
109.6
121.8
108.8
111.5
108.5
115.4
119.3
116.5
101.9
96.6
116.6
112.5
103.7
118.5
105.0
105.0
109.1
112.6
108.2
114.4
95.9
90.8
115.0
99.8
103.0
108.4
99.2
100.6
107.1
107.0
111.9
115.6
97.7
97.3
111.8
99.3
104.6
113.3
98.7
98.2
102.5
100.8
111.4
108.9
90.4
94.6
104.3
99.0
103.0
105.1
98.9
101.0
96.5
102.8
112.3
106.5
91.9
92.7
104.2
101.7
102.8
105.6
96.9
97.6
93.7
102.1
106.6
100.2
92.0
86.8
104.8
100.0
96.8
110.6
100.7
101.5
Dataseries Y:
18562.2
23184.8
22925.8
21490.2
23243.2
21688.7
21423.1
21211.2
17877.4
20664.3
22160.0
19813.6
17735.4
19640.2
20844.4
19823.1
18594.6
21350.6
18574.1
18924.2
17343.4
19961.2
19932.1
19464.6
16165.4
17574.9
19795.4
19439.5
17170.0
21072.4
17751.8
17515.5
18040.3
19090.1
17746.5
19202.1
15141.6
16258.1
18586.5
17209.4
17838.7
19123.5
16583.6
15991.2
16704.4
17420.4
17872.0
17823.2
13866.5
15912.8
17870.5
15420.3
16379.4
17903.9
15305.8
14583.3
14861.0
14968.9
16726.5
16283.6
11703.7
15101.8
15469.7
14956.9
15370.6
15998.1
14725.1
14768.9
13659.6
15070.3
16943.0
15761.3
12083.0
15023.6
15106.5
15498.6
15258.9
15859.4
14205.3
14291.1
12875.1
14755.3
15873.2
14803.0
12520.2
14568.3
15644.8
15454.9
14254.0
16754.8
14944.2
15044.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30278&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30278&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30278&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Kendall tau Rank Correlation
Kendall tau0.695195078849792
2-sided p-value0
Score2908
Var(Score)87900
Denominator4182.99853515625

\begin{tabular}{lllllllll}
\hline
Kendall tau Rank Correlation \tabularnewline
Kendall tau & 0.695195078849792 \tabularnewline
2-sided p-value & 0 \tabularnewline
Score & 2908 \tabularnewline
Var(Score) & 87900 \tabularnewline
Denominator & 4182.99853515625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30278&T=1

[TABLE]
[ROW][C]Kendall tau Rank Correlation[/C][/ROW]
[ROW][C]Kendall tau[/C][C]0.695195078849792[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0[/C][/ROW]
[ROW][C]Score[/C][C]2908[/C][/ROW]
[ROW][C]Var(Score)[/C][C]87900[/C][/ROW]
[ROW][C]Denominator[/C][C]4182.99853515625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30278&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30278&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 tau0.695195078849792
2-sided p-value0
Score2908
Var(Score)87900
Denominator4182.99853515625



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')