Free Statistics

of Irreproducible Research!

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, 16 Nov 2009 05:50:56 -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/16/t1258375897hl25sagqzeqwq5d.htm/, Retrieved Fri, 02 Dec 2022 10:59:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57333, Retrieved Fri, 02 Dec 2022 10:59:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2009-11-16 12:50:56] [21503129a47c64de7f80e1fde84c3a45] [Current]
Feedback Forum

Post a new message
Dataseries X:
98.8	100.3	101.9	99.9
100.5	98.5	100.2	98.6
110.4	95.1	98.6	107.2
96.4	93.1	98.1	95.7
101.9	92.2	98.2	93.7
106.2	89.0	99.1	106.7
81.0	86.4	100.0	86.7
94.7	84.5	99.7	95.3
101.0	82.7	99.7	99.3
109.4	80.8	99.3	101.8
102.3	81.8	97.9	96.0
90.7	81.8	97.6	91.7
96.2	82.9	94.7	95.3
96.1	83.8	95.8	96.6
106.0	86.2	97.0	107.2
103.1	86.1	99.0	108.0
102.0	86.2	101.9	98.4
104.7	88.8	103.9	103.1
86.0	89.6	105.1	81.1
92.1	87.8	104.9	96.6
106.9	88.3	105.0	103.7
112.6	88.6	104.6	106.6
101.7	91.0	105.1	97.6
92.0	91.5	105.7	87.6
97.4	95.4	115.6	99.4
97.0	98.7	120.3	98.5
105.4	99.9	121.9	105.2
102.7	98.6	121.7	104.6
98.1	100.3	118.9	97.5
104.5	100.2	113.4	108.9
87.4	100.4	114.0	86.8
89.9	101.4	117.5	88.9
109.8	103.0	120.9	110.3
111.7	109.1	125.1	114.8
98.6	111.4	124.7	94.6
96.9	114.1	128.2	92.0
95.1	121.8	149.7	98.8
97.0	127.6	163.6	93.8
112.7	129.9	173.9	107.6
102.9	128.0	164.5	101.0
97.4	123.5	154.2  95.4
111.4	124.0	147.9	96.5
87.4	127.4	159.3	89.2
96.8	127.6	170.3	87.1
114.1	128.4	170.0	110.5
110.3	131.4	174.2	110.8
103.9	135.1	190.8	104.2
101.6	134.0	179.9	88.9
94.6	144.5	240.8	89.8
95.9	147.3	241.9	90.0
104.7 	150.9	241.1	93.9
102.8	148.7	239.6	91.3
98.1	141.4	220.8	87.8
113.9	138.9	209.3	99.7
80.9	139.8	209.9	73.5
95.7	145.6	228.3	79.2
113.2	147.9	242.1	96.9
105.9	148.5	226.4	95.2
108.8	151.1	231.5	95.6
102.3	157.5	229.7	89.7




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=57333&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=57333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57333&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( InTotIndProductie , PrInGrondstofInd )0.0940510065967970.289622020995102
tau( InTotIndProductie , PrInGrondstofYzer )0.08552820985540570.3354254533676
tau( InTotIndProductie , InMetalProd )0.563172894922992.28354890552396e-10
tau( PrInGrondstofInd , PrInGrondstofYzer )0.8361166482676360
tau( PrInGrondstofInd , InMetalProd )-0.1404303510758780.113653384803908
tau( PrInGrondstofYzer , InMetalProd )-0.1477497936342950.095937489458349

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( InTotIndProductie , PrInGrondstofInd ) & 0.094051006596797 & 0.289622020995102 \tabularnewline
tau( InTotIndProductie , PrInGrondstofYzer ) & 0.0855282098554057 & 0.3354254533676 \tabularnewline
tau( InTotIndProductie , InMetalProd ) & 0.56317289492299 & 2.28354890552396e-10 \tabularnewline
tau( PrInGrondstofInd , PrInGrondstofYzer ) & 0.836116648267636 & 0 \tabularnewline
tau( PrInGrondstofInd , InMetalProd ) & -0.140430351075878 & 0.113653384803908 \tabularnewline
tau( PrInGrondstofYzer , InMetalProd ) & -0.147749793634295 & 0.095937489458349 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57333&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( InTotIndProductie , PrInGrondstofInd )[/C][C]0.094051006596797[/C][C]0.289622020995102[/C][/ROW]
[ROW][C]tau( InTotIndProductie , PrInGrondstofYzer )[/C][C]0.0855282098554057[/C][C]0.3354254533676[/C][/ROW]
[ROW][C]tau( InTotIndProductie , InMetalProd )[/C][C]0.56317289492299[/C][C]2.28354890552396e-10[/C][/ROW]
[ROW][C]tau( PrInGrondstofInd , PrInGrondstofYzer )[/C][C]0.836116648267636[/C][C]0[/C][/ROW]
[ROW][C]tau( PrInGrondstofInd , InMetalProd )[/C][C]-0.140430351075878[/C][C]0.113653384803908[/C][/ROW]
[ROW][C]tau( PrInGrondstofYzer , InMetalProd )[/C][C]-0.147749793634295[/C][C]0.095937489458349[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57333&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( InTotIndProductie , PrInGrondstofInd )0.0940510065967970.289622020995102
tau( InTotIndProductie , PrInGrondstofYzer )0.08552820985540570.3354254533676
tau( InTotIndProductie , InMetalProd )0.563172894922992.28354890552396e-10
tau( PrInGrondstofInd , PrInGrondstofYzer )0.8361166482676360
tau( PrInGrondstofInd , InMetalProd )-0.1404303510758780.113653384803908
tau( PrInGrondstofYzer , InMetalProd )-0.1477497936342950.095937489458349



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')