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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 27 Nov 2007 13:06:45 -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/Nov/27/t1196193456740l2avgx1fimha.htm/, Retrieved Sun, 05 May 2024 09:51:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6938, Retrieved Sun, 05 May 2024 09:51:18 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgroep 4
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [partial correlati...] [2007-11-21 19:36:59] [1520e6942bf3237bcdbd9ce1ad1c7791]
- RMPD    [Kendall tau Correlation Matrix] [Kendall Tau Rang ...] [2007-11-27 20:06:45] [bd7b8d7754bcf95ad80b21f541dc6b78] [Current]
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Dataseries X:
88,74	88,95
88,92	88,81
88,77	88,90
89,17	90,15
89,61	90,92
89,52	90,78
89,74	90,81
89,40	89,46
89,36	89,22
89,38	88,89
89,36	89,41
89,29	89,59
89,59	90,25
89,79	90,20
89,86	90,27
90,21	90,71
90,37	91,18
90,19	90,66
90,33	89,72
90,22	88,72
90,42	88,91
90,54	89,15
90,73	89,15
91,02	89,08
91,19	89,28
91,53	89,47
91,88	89,53
92,06	90,72
92,32	90,91
92,67	91,38
92,85	91,49
92,82	90,90
93,46	90,93
93,23	90,57
93,54	91,28
93,29	90,83
93,20	91,50
93,60	91,58
93,81	92,49
94,62	94,16
95,22	95,46
95,38	95,80
95,31	95,32
95,30	95,41
95,57	95,35
95,42	95,68
95,53	95,59
95,33	94,96
95,90	96,92
96,06	96,06
96,31	96,59
96,34	96,67
96,49	97,27
96,22	96,38
96,53	96,47
96,50	96,05
96,77	96,76
96,66	96,51
96,58	96,55
96,63	95,97
97,06	97,00
97,73	97,46
98,01	97,90
97,76	98,42
97,49	98,54
97,77	99,00
97,96	98,94
98,23	99,02
98,51	100,07
98,19	98,72
98,37	98,73
98,31	98,04
98,60	99,08
98,97	99,22
99,11	99,57
99,64	100,44
100,03	100,84
99,98	100,75
100,32	100,49
100,44	99,98
100,51	99,96
101,00	99,76
100,88	100,11
100,55	99,79
100,83	100,29
101,51	101,12
102,16	102,65
102,39	102,71
102,54	103,39
102,85	102,80
103,47	102,07
103,57	102,15
103,69	101,21
103,50	101,27
103,47	101,86
103,45	101,65
103,48	101,94
103,93	102,62
103,89	102,71
104,40	103,39
104,79	104,51
104,77	104,09
105,13	104,29
105,26	104,57
104,96	105,39
104,75	105,15
105,01	106,13
105,15	105,46
105,20	106,47
105,77	106,62
105,78	106,52
106,26	108,04
106,13	107,15
106,12	107,32
106,57	107,76
106,44	107,26
106,54	107,89




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6938&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6938&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6938&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Alg.Index , Voeding )0.8908380653667770

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Alg.Index , Voeding ) & 0.890838065366777 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6938&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( Alg.Index , Voeding )[/C][C]0.890838065366777[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6938&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6938&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( Alg.Index , Voeding )0.8908380653667770



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')