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Description of Statistical Computation

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, 20 Dec 2010 13:05:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t12928503070frso0ecewkwr0b.htm/, Retrieved Fri, 03 May 2024 20:16:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112899, Retrieved Fri, 03 May 2024 20:16:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Backward Selection] [WS9: ARIMA Backwa...] [2010-12-03 11:00:39] [1fd136673b2a4fecb5c545b9b4a05d64]
- RMPD  [Kendall tau Correlation Matrix] [Paper: Correlatie...] [2010-12-06 21:09:22] [1fd136673b2a4fecb5c545b9b4a05d64]
-         [Kendall tau Correlation Matrix] [ws10 Pearson] [2010-12-13 08:31:27] [e4076051fbfb461c886b1e223cd7862f]
-    D        [Kendall tau Correlation Matrix] [PAPER BAEYENS (Pe...] [2010-12-20 13:05:57] [2953e4eb3235e2fd3d6373a16d27c72f] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112899&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112899&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112899&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Correlations for all pairs of data series (method=pearson)
IEPWP
IEP10.291
WP0.2911

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & IEP & WP \tabularnewline
IEP & 1 & 0.291 \tabularnewline
WP & 0.291 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112899&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]IEP[/C][C]WP[/C][/ROW]
[ROW][C]IEP[/C][C]1[/C][C]0.291[/C][/ROW]
[ROW][C]WP[/C][C]0.291[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112899&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112899&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:

Correlations for all pairs of data series (method=pearson)
IEPWP
IEP10.291
WP0.2911






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
IEP;WP0.29070.29880.2234
p-value(2e-04)(2e-04)(2e-04)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
IEP;WP & 0.2907 & 0.2988 & 0.2234 \tabularnewline
p-value & (2e-04) & (2e-04) & (2e-04) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112899&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]IEP;WP[/C][C]0.2907[/C][C]0.2988[/C][C]0.2234[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112899&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112899&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
IEP;WP0.29070.29880.2234
p-value(2e-04)(2e-04)(2e-04)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
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=par1)
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')