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 computationWed, 10 Dec 2008 06:43:13 -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/10/t12289167110hic019o3lp47w0.htm/, Retrieved Sun, 19 May 2024 06:43:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31951, Retrieved Sun, 19 May 2024 06:43:37 +0000
QR Codes:

Original text written by user:in samenwerking met stéphanie claes, kevin engels en katrien bourdiaudhy
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact228
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Back to Back Histogram] [Investigating Ass...] [2007-10-22 21:58:05] [b9964c45117f7aac638ab9056d451faa]
- R PD  [Back to Back Histogram] [b2b histogram ree...] [2008-10-19 18:39:04] [7173087adebe3e3a714c80ea2417b3eb]
- RMPD      [Kendall tau Correlation Matrix] [kendall tau corre...] [2008-12-10 13:43:13] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
- RMPD        [Cross Correlation Function] [cross correlation] [2008-12-22 11:03:52] [7173087adebe3e3a714c80ea2417b3eb]
Feedback Forum

Post a new message
Dataseries X:
5014	2400
6153	4700
6441	3700
5584	2900
6427	2800
6062	3000
5589	3100
6216	3700
5809	3000
4989	2000
6706	1900
7174	1900
6122	1800
8075	3400
6292	3800
6337	2800
8576	3100
6077	2100
5931	2000
6288	2500
7167	2400
6054	2500
6468	3300
6401	3100
6927	3700
7914	5600
7728	3700
8699	2900
8522	4000
6481	2900
7502	2400
7778	3300
7424	3800
6941	4400
8574	4000
9169	3100
7701	2700
9035	5200
7158	4600
8195	3700
8124	3200
7073	2400
7017	2200
7390	3200
7776	3100
6197	2300
6889	2500
7087	2900
6485	2700
7654	5000
6501	3500
6313	3000
7826	3800
6589	2800
6729	2400
5684	2700
8105	2800
6391	2700
5901	2600
6758	3100




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31951&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]0 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=31951&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31951&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( bouwaanvragen , hypothecairkrediet )0.2920209450905660.00119341559738473

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( bouwaanvragen , hypothecairkrediet ) & 0.292020945090566 & 0.00119341559738473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31951&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( bouwaanvragen , hypothecairkrediet )[/C][C]0.292020945090566[/C][C]0.00119341559738473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31951&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31951&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( bouwaanvragen , hypothecairkrediet )0.2920209450905660.00119341559738473



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')