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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 11 Nov 2009 04:24:27 -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/t1257938745erp9l7428kknbqs.htm/, Retrieved Fri, 29 Mar 2024 07:12:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55496, Retrieved Fri, 29 Mar 2024 07:12:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [] [2009-11-11 11:24:27] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
100,00	100,00	100,00	100,00
98,49	98,86	108,45	127,27
99,15	96,87	115,49	109,09
100,28	103,18	129,58	136,36
103,82	104,66	143,66	100,00
108,16	103,74	147,89	118,18
112,33	103,87	152,11	136,36
110,70	98,10	152,11	100,00
111,04	98,91	156,34	127,27
111,07	109,43	154,93	118,18
113,37	104,89	156,34	136,36
115,28	88,63	143,66	145,45
120,25	97,03	135,21	154,55
121,96	93,79	130,99	100,00
122,35	97,61	125,35	145,45
122,81	98,17	123,94	118,18
131,12	96,31	125,35	154,55
132,04	97,82	126,76	145,45
128,74	87,52	125,35	154,55
126,11	85,71	123,94	172,73
127,05	89,15	126,76	163,64
132,37	90,65	123,94	172,73
132,48	92,74	123,94	145,45
139,09	80,00	136,62	136,36
142,79	84,33	138,03	145,45
143,17	93,26	140,85	145,45
138,82	115,89	142,25	154,55
135,68	105,21	142,25	181,82
135,93	94,23	140,85	181,82
137,42	106,12	126,76	172,73
138,87	94,41	123,94	154,55
137,85	101,30	118,31	163,64
138,32	98,43	112,68	172,73
141,40	107,94	114,08	154,55
147,07	102,82	112,68	181,82
151,79	92,33	109,86	190,91
148,52	97,48	108,45	218,18
147,33	88,37	102,82	227,27
149,45	92,50	101,41	227,27
146,47	81,48	101,41	236,36
143,71	92,55	94,37	200,00
137,72	98,96	94,37	227,27
136,27	77,28	90,14	254,55
139,16	91,01	90,14	254,55
138,75	81,21	88,73	263,64
136,02	88,41	84,51	272,73
133,43	96,02	77,46	281,82
134,22	91,59	66,20	263,64
137,02	86,30	53,52	245,45
135,15	86,37	50,70	200,00
136,08	105,41	35,21	227,27
138,92	76,73	23,94	209,09
144,57	93,26	22,54	236,36
143,21	95,02	30,99	209,09
143,60	84,32	30,99	200,00
145,04	93,24	28,17	163,64
144,08	89,81	26,76	163,64
142,77	111,66	22,54	181,82
145,83	103,23	26,76	145,45
149,59	103,21	36,62	163,64




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55496&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55496&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'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( $wssk , imp )-0.1723650817610140.0517379657335295
tau( $wssk , hb )-0.3970514253062088.63654501750071e-06
tau( $wssk , infl )0.4223756150109713.11204903979956e-06
tau( imp , hb )0.2108329191986420.0181933891571902
tau( imp , infl )-0.2909361870099340.00132151232102175
tau( hb , infl )-0.4901404185248497.83701740859691e-08

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( $wssk , imp ) & -0.172365081761014 & 0.0517379657335295 \tabularnewline
tau( $wssk , hb ) & -0.397051425306208 & 8.63654501750071e-06 \tabularnewline
tau( $wssk , infl ) & 0.422375615010971 & 3.11204903979956e-06 \tabularnewline
tau( imp , hb ) & 0.210832919198642 & 0.0181933891571902 \tabularnewline
tau( imp , infl ) & -0.290936187009934 & 0.00132151232102175 \tabularnewline
tau( hb , infl ) & -0.490140418524849 & 7.83701740859691e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55496&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( $wssk , imp )[/C][C]-0.172365081761014[/C][C]0.0517379657335295[/C][/ROW]
[ROW][C]tau( $wssk , hb )[/C][C]-0.397051425306208[/C][C]8.63654501750071e-06[/C][/ROW]
[ROW][C]tau( $wssk , infl )[/C][C]0.422375615010971[/C][C]3.11204903979956e-06[/C][/ROW]
[ROW][C]tau( imp , hb )[/C][C]0.210832919198642[/C][C]0.0181933891571902[/C][/ROW]
[ROW][C]tau( imp , infl )[/C][C]-0.290936187009934[/C][C]0.00132151232102175[/C][/ROW]
[ROW][C]tau( hb , infl )[/C][C]-0.490140418524849[/C][C]7.83701740859691e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55496&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( $wssk , imp )-0.1723650817610140.0517379657335295
tau( $wssk , hb )-0.3970514253062088.63654501750071e-06
tau( $wssk , infl )0.4223756150109713.11204903979956e-06
tau( imp , hb )0.2108329191986420.0181933891571902
tau( imp , infl )-0.2909361870099340.00132151232102175
tau( hb , infl )-0.4901404185248497.83701740859691e-08



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')