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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 computationThu, 12 Nov 2009 03:44:08 -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/12/t12580256547r5i8td0neyxrk8.htm/, Retrieved Sat, 04 May 2024 02:23:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55937, Retrieved Sat, 04 May 2024 02:23:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178
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]
-   PD    [Kendall tau Correlation Matrix] [] [2009-11-12 10:44:08] [fc845972e0ebdb725d2fb9537c0c51aa] [Current]
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Dataseries X:
91.2	111.4	131.2	125.3
80.8	87.4	97.7	114.3
72.3	96.8	88.8	115.6
99.7	114.1	132.8	127.1
90.1	110.3	113.9	123
83.1	103.9	112.6	122.2
71.9	101.6	104.3	126.4
78.6	94.6	107.5	112.7
87.2	95.9	106	105.8
90.6	104.7	117.3	120.9
80	102.8	123.1	116.3
73.1	98.1	114.3	115.7
85.6	113.9	132	127.9
73.8	80.9	92.3	108.3
70.6	95.7	93.7	121.1
91.8	113.2	121.3	128.6
81.3	105.9	113.6	123.1
85.2	108.8	116.3	127.7
69.6	102.3	98.3	126.6
83.3	99	111.9	118.4
89.8	100.7	109.3	110
99.5	115.5	133.2	129.6
78.9	100.7	118	115.8
83.8	109.9	131.6	125.9
92	114.6	134.1	128.4
80.9	85.4	96.7	114
74.6	100.5	99.8	125.6
97.9	114.8	128.3	128.5
88.3	116.5	134.9	136.6
88.1	112.9	130.7	133.1
66.4	102	107.3	124.6
92.3	106	121.6	123.5
95.6	105.3	120.6	117.2
99.7	118.8	140.5	135.5
78.9	106.1	124.8	124.8
79.4	109.3	129.9	127.8
87.8	117.2	159.4	133.1
80.5	92.5	111	125.7
71.8	104.2	110.1	128.4
89.2	112.5	132.7	131.9
96.4	122.4	135	146.3
83.5	113.3	118.6	140.6
64.3	100	94	129.5
85.9	110.7	117.9	132.4
89.2	112.8	114.7	125.9
81.8	109.8	113.6	126.9
79.5	117.3	130.6	135.8
68.7	109.1	117.1	129.5
76.4	115.9	123.2	130.2
73.6	96	106.1	133.8
57.7	99.8	88.7	123.3
78.3	116.8	115.5	140.7
75.5	115.7	116	145.9
62.4	99.4	96.7	128.5
55.6	94.3	82	135.9
62.9	91	92	120.2
66.7	93.2	89.7	119.2
66.8	103.1	99.1	132.5
59.9	94.1	98.9	130.5
52	91.8	88.6	124.8
61.2	102.7	105.5	136.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55937&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55937&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55937&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( bikl , biti )0.4376368269714096.40070759727607e-07
tau( bikl , bih )0.5772914032757415.17506038022475e-11
tau( bikl , biv )0.02465078892989990.779416189703575
tau( biti , bih )0.6655728988241323.61932706027801e-14
tau( biti , biv )0.4900086714302042.54354588502537e-08
tau( bih , biv )0.2792991817709540.00150261605030799

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( bikl , biti ) & 0.437636826971409 & 6.40070759727607e-07 \tabularnewline
tau( bikl , bih ) & 0.577291403275741 & 5.17506038022475e-11 \tabularnewline
tau( bikl , biv ) & 0.0246507889298999 & 0.779416189703575 \tabularnewline
tau( biti , bih ) & 0.665572898824132 & 3.61932706027801e-14 \tabularnewline
tau( biti , biv ) & 0.490008671430204 & 2.54354588502537e-08 \tabularnewline
tau( bih , biv ) & 0.279299181770954 & 0.00150261605030799 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55937&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( bikl , biti )[/C][C]0.437636826971409[/C][C]6.40070759727607e-07[/C][/ROW]
[ROW][C]tau( bikl , bih )[/C][C]0.577291403275741[/C][C]5.17506038022475e-11[/C][/ROW]
[ROW][C]tau( bikl , biv )[/C][C]0.0246507889298999[/C][C]0.779416189703575[/C][/ROW]
[ROW][C]tau( biti , bih )[/C][C]0.665572898824132[/C][C]3.61932706027801e-14[/C][/ROW]
[ROW][C]tau( biti , biv )[/C][C]0.490008671430204[/C][C]2.54354588502537e-08[/C][/ROW]
[ROW][C]tau( bih , biv )[/C][C]0.279299181770954[/C][C]0.00150261605030799[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55937&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55937&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( bikl , biti )0.4376368269714096.40070759727607e-07
tau( bikl , bih )0.5772914032757415.17506038022475e-11
tau( bikl , biv )0.02465078892989990.779416189703575
tau( biti , bih )0.6655728988241323.61932706027801e-14
tau( biti , biv )0.4900086714302042.54354588502537e-08
tau( bih , biv )0.2792991817709540.00150261605030799



Parameters (Session):
par1 = grijs ;
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')