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Description of Statistical Computation

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, 11 Nov 2009 03:27:40 -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/t1257935296et8e59adwzyz4v9.htm/, Retrieved Fri, 19 Apr 2024 01:06:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55467, Retrieved Fri, 19 Apr 2024 01:06:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Rank Correlation] [3/11/2009] [2009-11-02 21:55:52] [b98453cac15ba1066b407e146608df68]
-    D  [Kendall tau Rank Correlation] [ws6 scatterplot r...] [2009-11-06 12:55:44] [8b1aef4e7013bd33fbc2a5833375c5f5]
-           [Kendall tau Rank Correlation] [] [2009-11-11 10:27:40] [2a6f24d4847085573f343c759dfbabef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.00
100.00
97.56
95.12
92.68
92.68
97.56
107.32
112.20
112.20
112.20
114.63
117.07
117.07
114.63
114.63
114.63
112.20
121.95
131.71
134.15
136.59
136.59
141.46
146.34
148.78
148.78
146.34
146.34
148.78
158.54
173.17
180.49
180.49
182.93
185.37
190.24
190.24
187.80
185.37
182.93
178.05
185.37
195.12
195.12
192.68
190.24
187.80
190.24
187.80
182.93
178.05
173.17
170.73
178.05
190.24
192.68
192.68
190.24
190.24
192.68
190.24
185.37
180.49
175.61
168.29
173.17
182.93
185.37
180.49
178.05
175.61
178.05
175.61
173.17
170.73
168.29
165.85
175.61
185.37
187.80
185.37
182.93
182.93
185.37
185.37
185.37
182.93
178.05
175.61
180.49
195.12
200.00
195.12
187.80
187.80
190.24
190.24
187.80
182.93
178.05
173.17
173.17
175.61
165.85
160.98
156.10
156.10
158.54
153.66
143.90
134.15
126.83
119.51
131.71
141.46
139.02
136.59
134.15
131.71
131.71
131.71
134.15
141.46
139.02
131.71
136.59
141.46
151.22
165.85
163.41
163.41
156.10
153.66
153.66
156.10
153.66
146.34
153.66
153.66
160.98
182.93
190.24
192.68
190.24
185.37
182.93
185.37
182.93
178.05
185.37
182.93
185.37
192.68
192.68
197.56
200.00
195.12
182.93
165.85
158.54
160.98
185.37
195.12
197.56
187.80
182.93
185.37
190.24
190.24
190.24
182.93
182.93
173.17
182.93
182.93
185.37
187.80
187.80
192.68
197.56
200.00
200.00
200.00
192.68
178.05
168.29
160.98
163.41
168.29
170.73
173.17
175.61
173.17
168.29
170.73
165.85
156.10
163.41
160.98
156.10
153.66
151.22
158.54
165.85
165.85
156.10
148.78
141.46
148.78
175.61
178.05
168.29
148.78
141.46
151.22
173.17
187.80
192.68
187.80
180.49
182.93
195.12
197.56
Dataseries Y:
Download CSV
Histogram 
100.00
100.78
101.24
102.35
102.41
102.67
102.54
102.74
103.07
103.39
103.72
103.91
104.37
104.89
105.61
106.00
106.13
106.20
106.26
106.33
106.98
107.44
107.50
107.57
107.63
108.15
108.35
109.07
109.39
109.78
109.98
110.18
110.31
110.57
110.63
110.70
110.76
111.15
111.48
112.13
112.13
112.20
112.20
112.46
112.85
113.31
113.37
113.37
113.44
113.89
114.16
114.74
114.81
114.22
114.55
114.74
115.26
114.87
114.87
114.94
115.00
115.98
116.44
117.03
117.09
117.16
117.22
117.22
117.29
117.35
117.55
117.68
117.68
118.26
118.66
119.05
119.18
119.44
119.77
119.83
119.90
119.96
120.09
120.29
120.35
121.27
121.72
122.37
122.50
122.57
122.64
122.83
122.90
122.96
122.96
123.03
123.03
123.55
123.94
125.18
125.57
125.90
126.22
126.48
126.68
127.14
127.14
127.14
127.14
127.53
127.85
127.98
127.98
127.98
127.98
128.51
128.96
129.16
129.29
129.48
129.55
130.14
130.46
131.31
131.90
132.35
132.75
132.75
133.07
133.14
133.27
133.40
133.59
133.79
134.18
134.70
134.96
135.09
135.55
135.68
136.01
136.07
136.33
136.40
136.79
136.86
136.92
136.99
137.51
137.90
138.10
138.29
138.42
138.55
138.88
139.20
139.40
139.60
139.79
140.12
140.25
140.83
141.16
141.49
141.68
141.88
142.14
142.27
142.60
142.79
143.05
143.77
144.10
144.16
144.68
144.81
144.94
145.14
145.40
145.53
145.73
146.12
146.84
147.10
147.36
147.62
147.75
148.08
148.27
148.60
148.79
148.99
149.05
149.25
149.38
149.45
149.58
149.77
149.97
150.03
150.16
150.55
150.68
151.14
151.27
151.99
153.36
153.95
154.53
154.66
154.92
155.38
155.84
155.97
156.56
156.69
156.88
157.01
157.27
157.47
157.99
158.45
158.64
159.10

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55467&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55467&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55467&T=0

As an alternative you can also use a QR Code:  
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'George Udny Yule' @ 72.249.76.132






Kendall tau Rank Correlation
Kendall tau0.152486339211464
2-sided p-value0.000844478607177734
Score3739
Var(Score)1254192.125
Denominator24520.23046875

\begin{tabular}{lllllllll}
\hline
Kendall tau Rank Correlation \tabularnewline
Kendall tau & 0.152486339211464 \tabularnewline
2-sided p-value & 0.000844478607177734 \tabularnewline
Score & 3739 \tabularnewline
Var(Score) & 1254192.125 \tabularnewline
Denominator & 24520.23046875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55467&T=1

[TABLE]
[ROW][C]Kendall tau Rank Correlation[/C][/ROW]
[ROW][C]Kendall tau[/C][C]0.152486339211464[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.000844478607177734[/C][/ROW]
[ROW][C]Score[/C][C]3739[/C][/ROW]
[ROW][C]Var(Score)[/C][C]1254192.125[/C][/ROW]
[ROW][C]Denominator[/C][C]24520.23046875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55467&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55467&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Kendall tau Rank Correlation
Kendall tau0.152486339211464
2-sided p-value0.000844478607177734
Score3739
Var(Score)1254192.125
Denominator24520.23046875


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')