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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 computationFri, 07 Dec 2007 05:50:43 -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/07/t1197031051ykuhuichuu698nn.htm/, Retrieved Mon, 29 Apr 2024 06:45:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2789, Retrieved Mon, 29 Apr 2024 06:45:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194

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] [Correlation Matri...] [2007-12-07 12:50:43] [ca5e0f9f346e091f4d0fe7e17f7dba21] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11,7	-0,3	15,5
-2,3	-26,1	7,9
-7,3	4,1	8,9
-13,5	16,8	21,1
-0,7	-3,3	-10
0,4	-4,6	0,3
6	15,5	7,8
2,2	6,1	0,2
1,7	-8,4	4
5,1	10	15,8
7,4	-6,3	2,6
5,8	14	6,6
5,5	12,4	4,5
-1,1	12,4	-3,8
6,8	6	6,8
2,1	3,3	6,8
-2,6	8,9	8,1
-3,8	9,4	1,2
-11,3	3	-0,6
-5,6	-0,9	3,8
-2,8	2,9	7,7
-1,1	6,1	-5,5
-13,9	7,2	-10
-2,6	4,1	-1,1
-8,3	4	-1,1
-10,2	-9,5	-3,9
-2	6,8	0,3
-2,3	2,7	-12,5
4,1	3,5	2,3
2,7	6,1	6,9
9,9	6,7	10,8
-0,8	-6	-2,2
8,7	24,8	8,2
-0,6	7	3,8
3,7	4	4,1
4,2	3	5,1
3,5	4,8	0,7
11,2	19,9	12,4
3,1	13,5	6
2,5	7,4	3,3
6,2	15,6	4,7
6,7	6,6	1,2
4,3	7,1	-0,9
5,5	18,5	2,9
1,1	1,9	-2
-0,8	9,9	2,4
5,8	17,7	11,3
5,1	8,9	3,1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2789&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2789&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2789&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Interm , Invest )0.2507809263511420.0124515714385580
tau( Interm , Consump )0.3290236617675240.00103305077466809
tau( Invest , Consump )0.2551294503082030.0109764033476174

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Interm , Invest ) & 0.250780926351142 & 0.0124515714385580 \tabularnewline
tau( Interm , Consump ) & 0.329023661767524 & 0.00103305077466809 \tabularnewline
tau( Invest , Consump ) & 0.255129450308203 & 0.0109764033476174 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2789&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( Interm , Invest )[/C][C]0.250780926351142[/C][C]0.0124515714385580[/C][/ROW]
[ROW][C]tau( Interm , Consump )[/C][C]0.329023661767524[/C][C]0.00103305077466809[/C][/ROW]
[ROW][C]tau( Invest , Consump )[/C][C]0.255129450308203[/C][C]0.0109764033476174[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2789&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2789&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( Interm , Invest )0.2507809263511420.0124515714385580
tau( Interm , Consump )0.3290236617675240.00103305077466809
tau( Invest , Consump )0.2551294503082030.0109764033476174


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')