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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 11 Nov 2009 07:36:41 -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/t1257950435jpmwtdrbb4mqfwz.htm/, Retrieved Fri, 19 Apr 2024 14:25:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55641, Retrieved Fri, 19 Apr 2024 14:25:27 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2009-11-11 14:36:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
15836,8	15799,5	89,1
17570,4	16685,6	82,6
18252,1	18357,8	102,7
16196,7	15952,7	91,8
16643	16540,9	94,1
17729	18159,5	103,1
16446,1	16847,2	93,2
15993,8	17282,5	91
16373,5	18042,3	94,3
17842,2	19614,9	99,4
22321,5	23335,7	115,7
22786,7	23650,4	116,8
18274,1	20328,3	99,8
22392,9	22751,6	96
23899,3	24347,7	115,9
21343,5	21479,6	109,1
22952,3	23533,8	117,3
21374,4	22176,2	109,8
21164,1	20866,8	112,8
20906,5	22168,7	110,7
17877,4	19484,6	100
20664,3	21131,5	113,3
22160	21968,9	122,4
19813,6	19220,8	112,5
17735,4	17789,6	104,2
19640,2	19227,5	92,5
20844,4	19899,2	117,2
19823,1	19563	109,3
18594,6	18075,2	106,1
21350,6	20438,6	118,8
18574,1	18076,7	105,3
18924,2	18637,3	106
17343,4	17579,4	102
19961,2	19422,1	112,9
19932,1	19270	116,5
19464,6	18553	114,8
16165,4	16895,6	100,5
17574,9	16398,9	85,4
19795,4	18953,1	114,6
19439,5	18690	109,9
17170	17065,3	100,7
21072,4	21489,9	115,5
17751,8	17776,1	100,7
17515,5	18101,9	99
18040,3	19021	102,3
19090,1	18883	108,8
17746,5	16768,7	105,9
19202,1	18135,3	113,2
15141,6	15699,8	95,7
16258,1	15052,1	80,9
18586,5	18320,9	113,9
17209,4	16505	98,1
17838,7	16889	102,8
19123,5	18447,7	104,7
16583,6	16359,9	95,9
15991,2	15663,9	94,6
16704,4	16869,2	101,6
17420,4	16614,8	103,9
17872	16670,7	110,3
17823,2	16629,6	114,1




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55641&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55641&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55641&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Uitv , Inv )0.753672316384180
tau( Uitv , Id )0.6256004770801411.65889524339491e-12
tau( Inv , Id )0.4944899886586482.39414066349752e-08

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Uitv , Inv ) & 0.75367231638418 & 0 \tabularnewline
tau( Uitv , Id ) & 0.625600477080141 & 1.65889524339491e-12 \tabularnewline
tau( Inv , Id ) & 0.494489988658648 & 2.39414066349752e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55641&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( Uitv , Inv )[/C][C]0.75367231638418[/C][C]0[/C][/ROW]
[ROW][C]tau( Uitv , Id )[/C][C]0.625600477080141[/C][C]1.65889524339491e-12[/C][/ROW]
[ROW][C]tau( Inv , Id )[/C][C]0.494489988658648[/C][C]2.39414066349752e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55641&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55641&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( Uitv , Inv )0.753672316384180
tau( Uitv , Id )0.6256004770801411.65889524339491e-12
tau( Inv , Id )0.4944899886586482.39414066349752e-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')