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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 04 Dec 2007 08:14:35 -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/Dec/04/t1196780536oufw976j6z4y7gq.htm/, Retrieved Thu, 02 May 2024 03:45:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2390, Retrieved Thu, 02 May 2024 03:45:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2007-12-04 15:14:35] [0c12eff582f43eaf43ae2f09e879befe] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-7.7	13.5	-4.6	4.2
-5.3	-1.9	1.9	-7
6	-12.3	16.1	1.2
-3.1	4.2	-14.2	-5.8
-1.8	10.1	2.1	-4.3
14.4	2.3	12.8	10.9
8.2	-11.2	3.3	3.2
0.3	4.4	-11	3.8
14.2	21.1	-6.2	13.1
6	-5	5.8	23.1
18.1	-1.7	18.1	4
9.4	2.1	-14.6	-2.5
7.1	6.1	-8.6	-4.4
6.9	9.6	6.9	0.9
6.1	-13.2	-0.4	7
7.7	8.1	-2.2	1.4
7.2	5.5	1	-0.4
0.2	-8.2	-3.5	-8.6
-1	-9	-5	-7.1
0.5	-9.1	2.5	-0.9
10.7	14.6	13.6	5.7
-7	-17.2	-23.2	-20.7
-3	-5.7	-0.3	2.8
2.6	3.8	11.4	7.4
-8.9	2.5	-0.8	-4.5
9.3	12.4	23	8.1
3.5	-15	-9.5	-0.2
4.1	22.2	0.3	7
6.3	7.5	-6.6	8.3
9.7	5.7	7.4	12.9
-2.9	-4.7	-10.6	6.8
18.9	4	18.2	7.6
-0.6	20.4	-9.3	2.7
4.5	-13.2	-1.9	-0.5
4.9	0.1	-2.1	2.9
6.8	6	-0.9	2.4
22	28.3	15.1	12.7
11.2	12	-20.3	3.9
4.5	-10.2	8.6	0.3
14.4	31.5	9.3	5.3
3.8	16	-6.8	-4.2
3.3	9	4.8	-5.9
10.4	-9.8	-1.3	-0.4
0.6	-0.1	-7.3	-3
4.7	25.3	-4.5	-9.2
14.6	-17.1	22.4	6.3
8.6	-3.2	-16.3	6.4

Tables (Output of Computation)





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=2390&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=2390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2390&T=0

As an alternative you can also use a QR Code:  
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( totaal , metaal )0.1399444530576070.166061251688615
tau( totaal , machines )0.3094027998555060.00218897384707284
tau( totaal , elektr.app )0.3968475159900888.64496406791648e-05
tau( metaal , machines )0.02036094618741380.840105558058857
tau( metaal , elektr.app )0.1389532339879580.168901689629664
tau( machines , elektr.app )0.2601852967186870.00996290417970336

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( totaal , metaal ) & 0.139944453057607 & 0.166061251688615 \tabularnewline
tau( totaal , machines ) & 0.309402799855506 & 0.00218897384707284 \tabularnewline
tau( totaal , elektr.app ) & 0.396847515990088 & 8.64496406791648e-05 \tabularnewline
tau( metaal , machines ) & 0.0203609461874138 & 0.840105558058857 \tabularnewline
tau( metaal , elektr.app ) & 0.138953233987958 & 0.168901689629664 \tabularnewline
tau( machines , elektr.app ) & 0.260185296718687 & 0.00996290417970336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2390&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( totaal , metaal )[/C][C]0.139944453057607[/C][C]0.166061251688615[/C][/ROW]
[ROW][C]tau( totaal , machines )[/C][C]0.309402799855506[/C][C]0.00218897384707284[/C][/ROW]
[ROW][C]tau( totaal , elektr.app )[/C][C]0.396847515990088[/C][C]8.64496406791648e-05[/C][/ROW]
[ROW][C]tau( metaal , machines )[/C][C]0.0203609461874138[/C][C]0.840105558058857[/C][/ROW]
[ROW][C]tau( metaal , elektr.app )[/C][C]0.138953233987958[/C][C]0.168901689629664[/C][/ROW]
[ROW][C]tau( machines , elektr.app )[/C][C]0.260185296718687[/C][C]0.00996290417970336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2390&T=1

As an alternative you can also use a QR Code:  
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( totaal , metaal )0.1399444530576070.166061251688615
tau( totaal , machines )0.3094027998555060.00218897384707284
tau( totaal , elektr.app )0.3968475159900888.64496406791648e-05
tau( metaal , machines )0.02036094618741380.840105558058857
tau( metaal , elektr.app )0.1389532339879580.168901689629664
tau( machines , elektr.app )0.2601852967186870.00996290417970336


Figures (Output of Computation)

Input Parameters & R Code

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')