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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 09 Nov 2009 14:52:58 -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/09/t1257803985fpccybkooijkszt.htm/, Retrieved Sat, 20 Apr 2024 00:41:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55078, Retrieved Sat, 20 Apr 2024 00:41:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
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] [WS6: Kendal Tau C...] [2009-11-09 21:52:58] [b8ce264f75295a954feffaf60221d1b0] [Current]
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Dataseries X:
100,00	100,00	100,00	100,00
100,28	99,30	98,49	106,54
100,00	111,19	99,15	127,63
98,62	106,99	100,28	141,72
98,35	108,39	103,82	147,95
98,35	105,59	108,16	142,16
104,68	104,90	112,33	147,95
104,13	84,62	110,70	155,82
103,58	110,49	111,04	164,13
104,68	118,18	111,07	159,16
104,41	105,59	113,37	147,14
105,79	95,80	115,28	159,16
107,99	103,50	120,25	178,85
108,54	102,80	121,96	200,44
107,99	111,89	122,35	189,43
109,09	107,69	122,81	160,16
107,99	104,90	131,12	157,02
109,09	108,39	132,04	168,91
115,43	105,59	128,74	173,19
115,98	81,82	126,11	175,83
115,70	113,99	127,05	158,78
115,15	116,78	132,37	166,96
112,95	104,90	132,48	171,24
115,15	104,20	139,09	179,55
117,36	102,10	142,79	191,00
117,91	106,99	143,17	196,41
118,46	125,17	138,82	206,80
116,80	114,69	135,68	208,94
116,53	107,69	135,93	224,86
117,63	125,17	137,42	217,31
121,49	111,19	138,87	229,96
123,69	97,20	137,85	252,36
124,52	124,48	138,32	255,25
127,27	125,17	141,40	290,37
125,34	121,68	147,07	269,67
127,00	116,78	151,79	240,53
127,00	111,89	148,52	252,86
127,55	116,08	147,33	265,51
127,27	133,57	149,45	299,31
125,62	124,48	146,47	297,42
125,34	120,28	143,71	277,09
125,62	130,07	137,72	313,59
130,03	113,99	136,27	335,75
130,03	105,59	139,16	370,67
129,75	134,27	138,75	375,33
128,10	123,78	136,02	358,65
126,45	133,57	133,43	334,80
128,10	125,87	134,22	335,05
128,93	122,38	137,02	364,07
128,65	124,48	135,15	350,47
127,55	147,55	136,08	350,16
126,72	120,28	138,92	393,46
127,27	135,66	144,57	405,29
127,00	138,46	143,21	406,86
131,13	123,08	143,60	426,12
131,13	113,29	145,04	422,97
129,75	136,36	144,08	373,63
124,79	139,16	142,77	335,18
122,04	139,86	145,83	329,89
121,76	120,98	149,59	346,32
100,00	100,00	100,00	100,00
100,28	99,30	98,49	106,54
100,00	111,19	99,15	127,63
98,62	106,99	100,28	141,72
98,35	108,39	103,82	147,95
98,35	105,59	108,16	142,16
104,68	104,90	112,33	147,95
104,13	84,62	110,70	155,82
103,58	110,49	111,04	164,13
104,68	118,18	111,07	159,16
104,41	105,59	113,37	147,14
105,79	95,80	115,28	159,16
107,99	103,50	120,25	178,85
108,54	102,80	121,96	200,44
107,99	111,89	122,35	189,43
109,09	107,69	122,81	160,16
107,99	104,90	131,12	157,02
109,09	108,39	132,04	168,91
115,43	105,59	128,74	173,19
115,98	81,82	126,11	175,83
115,70	113,99	127,05	158,78
115,15	116,78	132,37	166,96
112,95	104,90	132,48	171,24
115,15	104,20	139,09	179,55
117,36	102,10	142,79	191,00
117,91	106,99	143,17	196,41
118,46	125,17	138,82	206,80
116,80	114,69	135,68	208,94
116,53	107,69	135,93	224,86
117,63	125,17	137,42	217,31
121,49	111,19	138,87	229,96
123,69	97,20	137,85	252,36
124,52	124,48	138,32	255,25
127,27	125,17	141,40	290,37
125,34	121,68	147,07	269,67
127,00	116,78	151,79	240,53
127,00	111,89	148,52	252,86
127,55	116,08	147,33	265,51
127,27	133,57	149,45	299,31
125,62	124,48	146,47	297,42
125,34	120,28	143,71	277,09
125,62	130,07	137,72	313,59
130,03	113,99	136,27	335,75
130,03	105,59	139,16	370,67
129,75	134,27	138,75	375,33
128,10	123,78	136,02	358,65
126,45	133,57	133,43	334,80
128,10	125,87	134,22	335,05
128,93	122,38	137,02	364,07
128,65	124,48	135,15	350,47
127,55	147,55	136,08	350,16
126,72	120,28	138,92	393,46
127,27	135,66	144,57	405,29
127,00	138,46	143,21	406,86
131,13	123,08	143,60	426,12
131,13	113,29	145,04	422,97
129,75	136,36	144,08	373,63
124,79	139,16	142,77	335,18
122,04	139,86	145,83	329,89
121,76	120,98	149,59	346,32




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=55078&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=55078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55078&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( WK>25jB , ExpBE )0.4366239090634654.17710310784969e-12
tau( WK>25jB , WsskE-$ )0.595066009399490
tau( WK>25jB , RuwOlB/$ )0.7864772146703860
tau( ExpBE , WsskE-$ )0.3651962212833075.55661228140991e-09
tau( ExpBE , RuwOlB/$ )0.4985868914949271.77635683940025e-15
tau( WsskE-$ , RuwOlB/$ )0.5596383030973970

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WK>25jB , ExpBE ) & 0.436623909063465 & 4.17710310784969e-12 \tabularnewline
tau( WK>25jB , WsskE-$ ) & 0.59506600939949 & 0 \tabularnewline
tau( WK>25jB , RuwOlB/$ ) & 0.786477214670386 & 0 \tabularnewline
tau( ExpBE , WsskE-$ ) & 0.365196221283307 & 5.55661228140991e-09 \tabularnewline
tau( ExpBE , RuwOlB/$ ) & 0.498586891494927 & 1.77635683940025e-15 \tabularnewline
tau( WsskE-$ , RuwOlB/$ ) & 0.559638303097397 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55078&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( WK>25jB , ExpBE )[/C][C]0.436623909063465[/C][C]4.17710310784969e-12[/C][/ROW]
[ROW][C]tau( WK>25jB , WsskE-$ )[/C][C]0.59506600939949[/C][C]0[/C][/ROW]
[ROW][C]tau( WK>25jB , RuwOlB/$ )[/C][C]0.786477214670386[/C][C]0[/C][/ROW]
[ROW][C]tau( ExpBE , WsskE-$ )[/C][C]0.365196221283307[/C][C]5.55661228140991e-09[/C][/ROW]
[ROW][C]tau( ExpBE , RuwOlB/$ )[/C][C]0.498586891494927[/C][C]1.77635683940025e-15[/C][/ROW]
[ROW][C]tau( WsskE-$ , RuwOlB/$ )[/C][C]0.559638303097397[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55078&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( WK>25jB , ExpBE )0.4366239090634654.17710310784969e-12
tau( WK>25jB , WsskE-$ )0.595066009399490
tau( WK>25jB , RuwOlB/$ )0.7864772146703860
tau( ExpBE , WsskE-$ )0.3651962212833075.55661228140991e-09
tau( ExpBE , RuwOlB/$ )0.4985868914949271.77635683940025e-15
tau( WsskE-$ , RuwOlB/$ )0.5596383030973970



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')