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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 18 Dec 2007 04:16:55 -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/2007/Dec/18/t11979755940eknicphf8m3frd.htm/, Retrieved Sat, 04 May 2024 12:48:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4489, Retrieved Sat, 04 May 2024 12:48:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2007-12-18 11:16:55] [ba3202e2798d2e4685d19d988e9c69df] [Current]
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Dataseries X:
85,6	92,81	88	75,6
89	59,04	88,4	48,7
97,5	72,81	95	111,7
104	91,81	101,8	119,5
99,4	68,07	107,6	103,4
103,2	49,16	118,9	96,3
103	124,61	126,9	96,6
91,2	109,89	106,3	110,4
85,9	110,51	109,2	104,4
80,7	114,77	104,6	110,7
86,7	92,37	100,8	93,6
80,7	103,63	92,1	114,8
81,5	90,43	86,4	74,9
83,4	65,86	96	69,8
83,5	83,33	98,5	104,2
89,5	94,49	112	109,3
85,8	68,98	113,9	92,7
77,4	55,46	120	91,7
67,5	132,89	126,7	84,4
63,7	121,71	112,8	94,5
59,4	127,01	116,2	103,6
62	134,04	110,6	105,9
62,4	106,48	105	108
58,1	117,55	101,2	119,9
58	101,61	99,3	84,5
56,3	82,66	101,9	76,7
61,4	89,28	106,4	120,5
59,8	109,24	118,9	119,6
54,3	88,16	121,9	102,3
47	59,23	132	101,7
50,5	164,21	121,4	86,9
48,1	125,13	117	93,6
58,8	152,68	122,7	113,6
70,4	132,96	113	106,7
71,9	112,42	104	96,1
73,3	136,43	101,2	124,6
83,5	107,32	100,8	72,5
90,1	87,61	98,9	89
101,3	97,86	103	115,3
98,3	106,60	117,8	119,1
106,7	92,17	126,6	104,4
109,9	65,31	127,6	104,9
111,1	161,49	115,8	76,9
119	162,25	114,8	95,3
120,7	175,13	119,2	114,9
104,5	147,28	109,9	98,9
121,6	144,48	98,9	102,9
129,6	122,67	98,6	90
124,5	102,27	96,6	81
130,1	88,64	96,7	66,2
142,3	89,59	103,5	86,7
140	112,20	115,3	86,7
143,3	91,98	122,5	103,4
113,4	57,85	125,3	89,5
113,8	160,49	111,2	113,7
120,7	128,33	110,7	120,2
112,9	140,69	114,2	137,8
115,5	126,61	105,6	99,1
121,9	129,27	95,5	110,4
119,3	124,27	97,3	112,3
111	112,90	95,5	82,2
114,2	92,54	96,3	72,2
113,5	85,70	100,2	106,7
94	116,72	113,4	106,4
83,2	92,08	121,4	110
82,8	58,98	122,1	87,5
85,8	154,50	119,3	79,7
88,7	145,55	110,8	83,3
105,3	146,60	110,1	91,8
113,1	143,51	99,7	89,2
113,8	113,52	104,8	90,6
109,4	104,80	105,4	92,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4489&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4489&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4489&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( olie , wagens )0.0654004621256270.416862655206414
tau( olie , electric )-0.1219368774656440.130522625290431
tau( olie , vervoersm )-0.04116839914434940.609703155355191
tau( wagens , electric )0.1049746122333320.192606653163442
tau( wagens , vervoersm )0.1253428205771120.119777218998210
tau( electric , vervoersm )0.1223529411764710.129285888887419

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( olie , wagens ) & 0.065400462125627 & 0.416862655206414 \tabularnewline
tau( olie , electric ) & -0.121936877465644 & 0.130522625290431 \tabularnewline
tau( olie , vervoersm ) & -0.0411683991443494 & 0.609703155355191 \tabularnewline
tau( wagens , electric ) & 0.104974612233332 & 0.192606653163442 \tabularnewline
tau( wagens , vervoersm ) & 0.125342820577112 & 0.119777218998210 \tabularnewline
tau( electric , vervoersm ) & 0.122352941176471 & 0.129285888887419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4489&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( olie , wagens )[/C][C]0.065400462125627[/C][C]0.416862655206414[/C][/ROW]
[ROW][C]tau( olie , electric )[/C][C]-0.121936877465644[/C][C]0.130522625290431[/C][/ROW]
[ROW][C]tau( olie , vervoersm )[/C][C]-0.0411683991443494[/C][C]0.609703155355191[/C][/ROW]
[ROW][C]tau( wagens , electric )[/C][C]0.104974612233332[/C][C]0.192606653163442[/C][/ROW]
[ROW][C]tau( wagens , vervoersm )[/C][C]0.125342820577112[/C][C]0.119777218998210[/C][/ROW]
[ROW][C]tau( electric , vervoersm )[/C][C]0.122352941176471[/C][C]0.129285888887419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4489&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4489&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 correlations for all pairs of data series
pairtaup-value
tau( olie , wagens )0.0654004621256270.416862655206414
tau( olie , electric )-0.1219368774656440.130522625290431
tau( olie , vervoersm )-0.04116839914434940.609703155355191
tau( wagens , electric )0.1049746122333320.192606653163442
tau( wagens , vervoersm )0.1253428205771120.119777218998210
tau( electric , vervoersm )0.1223529411764710.129285888887419



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method='kendall')
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'tau',1,TRUE)
a<-table.element(a,'p-value',1,TRUE)
a<-table.row.end(a)
n <- length(y[,1])
n
cor.test(y[1,],y[2,],method='kendall')
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste('tau(',dimnames(t(x))[[2]][i])
dum <- paste(dum,',')
dum <- paste(dum,dimnames(t(x))[[2]][j])
dum <- paste(dum,')')
a<-table.element(a,dum,header=TRUE)
r <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,r$estimate)
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')