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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 computationWed, 17 Dec 2008 13:40:15 -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/2008/Dec/17/t1229546502xp01q4v68616ezo.htm/, Retrieved Sun, 19 May 2024 07:11:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34544, Retrieved Sun, 19 May 2024 07:11:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [verband tussen in...] [2008-12-17 19:43:34] [5e74953d94072114d25d7276793b561e]
-    D    [Kendall tau Correlation Matrix] [verband tussen in...] [2008-12-17 20:40:15] [5925747fb2a6bb4cfcd8015825ee5e92] [Current]
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Dataseries X:
101,3	99,2	99,9	124,9	105,26
102	93,6	98,6	132	101,8
109,2	104,2	107,2	151,4	112,36
88,6	95,3	95,7	108,9	99,5
94,3	102,7	93,7	121,3	104,65
98,3	103,1	106,7	123,4	101,13
86,4	100	86,7	90,3	89,8
80,6	107,2	95,3	79,3	87,84
104,1	107	99,3	117,2	96,41
108,2	119	101,8	116,9	103,26
93,4	110,4	96	120,8	100,31
71,9	101,7	91,7	96,1	92,33
94,1	102,4	95,3	100,8	96,19
94,9	98,8	96,6	105,3	96,37
96,4	105,6	107,2	116,1	103,06
91,1	104,4	108	112,8	101,5
84,4	106,3	98,4	114,5	101,88
86,4	107,2	103,1	117,2	100,85
88	108,5	81,1	77,1	95,56
75,1	106,9	96,6	80,1	87,6
109,7	114,2	103,7	120,3	101,18
103	125,9	106,6	133,4	110,8
82,1	110,6	97,6	109,4	101,1
68	110,5	87,6	93,2	104,42
96,4	106,7	99,4	91,2	103,27
94,3	104,7	98,5	99,2	100,87
90	107,4	105,2	108,2	107,8
88	109,8	104,6	101,5	104,99
76,1	103,4	97,5	106,9	100,76
82,5	114,8	108,9	104,4	104,46
81,4	114,3	86,8	77,9	100,62
66,5	109,6	88,9	60	87,84
97,2	118,3	110,3	99,5	107,31
94,1	127,3	114,8	95	115,61
80,7	112,3	94,6	105,6	103,43
70,5	114,9	92	102,5	109,93
87,8	108,2	93,8	93,3	104,43
89,5	105,4	93,8	97,3	106,69
99,6	122,1	107,6	127	123,1
84,2	113,5	101	111,7	109,42
75,1	110	95,4	96,4	101,46
92	125,3	96,5	133	124,48
80,8	114,3	89,2	72,2	101,49
73,1	115,6	87,1	95,8	100,46
99,8	127,1	110,5	124,1	115,51
90	123	110,8	127,6	113,37
83,1	122,2	104,2	110,7	115,4
72,4	126,4	88,9	104,6	118,2
78,8	112,7	89,8	112,7	106,82
87,3	105,8	90	115,3	110,17
91	120,9	93,9	139,4	119,91
80,1	116,3	91,3	119	112,31
73,6	115,7	87,8	97,4	110,62
86,4	127,9	99,7	154	120,37
74,5	108,3	73,5	81,5	97,94
71,2	121,1	79,2	88,8	103,02
92,4	128,6	96,9	127,7	116,36
81,5	123,1	95,2	105,1	108,51
85,3	127,7	95,6	114,9	122,54
69,9	126,6	89,7	106,4	121,32
84,2	118,4	92,8	104,5	112,25
90,7	110	88	121,6	109,89
100,3	129,6	101,1	141,4	129,58
79,4	115,8	92,7	99	107,2
84,8	125,9	95,8	126,7	118,68
92,9	128,4	103,8	134,1	118,25
81,6	114	81,8	81,3	102,67
76	125,6	87,1	88,6	104,19
98,7	128,5	105,9	132,7	117,74
89,1	136,6	108,1	132,9	123,3
88,7	133,1	102,6	134,4	122,2
67,1	124,6	93,7	103,7	112,71




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=34544&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=34544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34544&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( textiel , voeding )-0.06904673279522150.392148448686921
tau( textiel , metallurgie )0.4651620040902618.32320301569212e-09
tau( textiel , voertuigen )0.4175658332320112.24347258104274e-07
tau( textiel , Invoer )0.1125271306456220.162904227882328
tau( voeding , metallurgie )0.08272889099819180.304959302050207
tau( voeding , voertuigen )0.1922851320600770.016985876670794
tau( voeding , Invoer )0.5557079478477595.25490762015579e-12
tau( metallurgie , voertuigen )0.4083074921544644.0647914323344e-07
tau( metallurgie , Invoer )0.2068966946809570.0102588222127080
tau( voertuigen , Invoer )0.4399217221135034.65075509215040e-08

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( textiel , voeding ) & -0.0690467327952215 & 0.392148448686921 \tabularnewline
tau( textiel , metallurgie ) & 0.465162004090261 & 8.32320301569212e-09 \tabularnewline
tau( textiel , voertuigen ) & 0.417565833232011 & 2.24347258104274e-07 \tabularnewline
tau( textiel , Invoer ) & 0.112527130645622 & 0.162904227882328 \tabularnewline
tau( voeding , metallurgie ) & 0.0827288909981918 & 0.304959302050207 \tabularnewline
tau( voeding , voertuigen ) & 0.192285132060077 & 0.016985876670794 \tabularnewline
tau( voeding , Invoer ) & 0.555707947847759 & 5.25490762015579e-12 \tabularnewline
tau( metallurgie , voertuigen ) & 0.408307492154464 & 4.0647914323344e-07 \tabularnewline
tau( metallurgie , Invoer ) & 0.206896694680957 & 0.0102588222127080 \tabularnewline
tau( voertuigen , Invoer ) & 0.439921722113503 & 4.65075509215040e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34544&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( textiel , voeding )[/C][C]-0.0690467327952215[/C][C]0.392148448686921[/C][/ROW]
[ROW][C]tau( textiel , metallurgie )[/C][C]0.465162004090261[/C][C]8.32320301569212e-09[/C][/ROW]
[ROW][C]tau( textiel , voertuigen )[/C][C]0.417565833232011[/C][C]2.24347258104274e-07[/C][/ROW]
[ROW][C]tau( textiel , Invoer )[/C][C]0.112527130645622[/C][C]0.162904227882328[/C][/ROW]
[ROW][C]tau( voeding , metallurgie )[/C][C]0.0827288909981918[/C][C]0.304959302050207[/C][/ROW]
[ROW][C]tau( voeding , voertuigen )[/C][C]0.192285132060077[/C][C]0.016985876670794[/C][/ROW]
[ROW][C]tau( voeding , Invoer )[/C][C]0.555707947847759[/C][C]5.25490762015579e-12[/C][/ROW]
[ROW][C]tau( metallurgie , voertuigen )[/C][C]0.408307492154464[/C][C]4.0647914323344e-07[/C][/ROW]
[ROW][C]tau( metallurgie , Invoer )[/C][C]0.206896694680957[/C][C]0.0102588222127080[/C][/ROW]
[ROW][C]tau( voertuigen , Invoer )[/C][C]0.439921722113503[/C][C]4.65075509215040e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34544&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( textiel , voeding )-0.06904673279522150.392148448686921
tau( textiel , metallurgie )0.4651620040902618.32320301569212e-09
tau( textiel , voertuigen )0.4175658332320112.24347258104274e-07
tau( textiel , Invoer )0.1125271306456220.162904227882328
tau( voeding , metallurgie )0.08272889099819180.304959302050207
tau( voeding , voertuigen )0.1922851320600770.016985876670794
tau( voeding , Invoer )0.5557079478477595.25490762015579e-12
tau( metallurgie , voertuigen )0.4083074921544644.0647914323344e-07
tau( metallurgie , Invoer )0.2068966946809570.0102588222127080
tau( voertuigen , Invoer )0.4399217221135034.65075509215040e-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')