FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 12 Nov 2009 07:37:19 -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/12/t1258036665ck1w4aq6lyiaojd.htm/, Retrieved Sat, 04 May 2024 04:29:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56047, Retrieved Sat, 04 May 2024 04:29:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid bij ...] [2009-11-03 09:27:56] [1ff3eeaee490dfcff07aa4917fec66b8]
- RMPD    [Kendall tau Correlation Matrix] [Kandell Tau Corre...] [2009-11-12 14:37:19] [6df9bd2792d60592b4a24994398a86db] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
127	392	2.75	30.23
123	394	2.75	32.33
118	392	2.55	29.87
114	396	2.5	24.87
108	392	2.5	25.48
111	396	2.1	27.28
151	419	2	28.24
159	421	2	29.58
158	420	2	26.95
148	418	2	29.08
138	410	2	28.76
137	418	2	29.59
136	426	2	30.7
133	428	2	30.52
126	430	2	32.67
120	424	2	33.19
114	423	2	37.13
116	427	2	35.54
153	441	2	37.75
162	449	2	41.84
161	452	2	42.94
149	462	2	49.24
139	455	2	44.61
135	461	2	40.22
130	461	2	44.23
127	463	2	25.85
122	462	2	53.38
117	456	2	53.26
112	455	2	51.8
113	456	2	55.3
149	472	2	57.81
157	472	2	63.96
157	471	2	63.77
147	465	2	59.15
137	459	2	56.12
132	465	2.21	57.42
125	468	2.25	63.52
123	467	2.25	61.71
117	463	2.45	63.01
114	460	2.5	68.18
111	462	2.5	72.03
112	461	2.64	69.75
144	476	2.75	74.41
150	476	2.93	74.33
149	471	3	64.24
134	453	3.17	60.03
123	443	3.25	59.44
116	442	3.39	62.5
117	444	3.5	55.04
111	438	3.5	58.34
105	427	3.65	61.92
102	424	3.75	67.65
95	416	3.75	67.68
93	406	3.9	70.3
124	431	4	75.26
130	434	4	71.44
124	418	4	76.36
115	412	4	81.71
106	404	4	92.6
105	409	4	90.6
105	412	4	92.23
101	406	4	94.09
95	398	4	102.79
93	397	4	109.65
84	385	4	124.05
87	390	4	132.69
116	413	4.18	135.81
120	413	4.25	116.07
117	401	4.25	101.42
109	397	3.97	75.73
105	397	3.42	55.48
107	409	2.75	43.8

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'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56047&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56047&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'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Werkloosheid , Werkloosheid )0.3863685111107982.09527340278015e-06
tau( Werkloosheid , Rente )-0.4862363707440232.06878479402520e-08
tau( Werkloosheid , Brent )-0.3175808791863128.84627737948607e-05
tau( Werkloosheid , Rente )-0.3307073957469330.000134688938546689
tau( Werkloosheid , Brent )0.03265841073100820.686479124766156
tau( Rente , Brent )0.6045874227571222.26707541628457e-12

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Werkloosheid , Werkloosheid ) & 0.386368511110798 & 2.09527340278015e-06 \tabularnewline
tau( Werkloosheid , Rente ) & -0.486236370744023 & 2.06878479402520e-08 \tabularnewline
tau( Werkloosheid , Brent
 ) & -0.317580879186312 & 8.84627737948607e-05 \tabularnewline
tau( Werkloosheid , Rente ) & -0.330707395746933 & 0.000134688938546689 \tabularnewline
tau( Werkloosheid , Brent
 ) & 0.0326584107310082 & 0.686479124766156 \tabularnewline
tau( Rente , Brent
 ) & 0.604587422757122 & 2.26707541628457e-12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56047&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( Werkloosheid , Werkloosheid )[/C][C]0.386368511110798[/C][C]2.09527340278015e-06[/C][/ROW]
[ROW][C]tau( Werkloosheid , Rente )[/C][C]-0.486236370744023[/C][C]2.06878479402520e-08[/C][/ROW]
[ROW][C]tau( Werkloosheid , Brent
 )[/C][C]-0.317580879186312[/C][C]8.84627737948607e-05[/C][/ROW]
[ROW][C]tau( Werkloosheid , Rente )[/C][C]-0.330707395746933[/C][C]0.000134688938546689[/C][/ROW]
[ROW][C]tau( Werkloosheid , Brent
 )[/C][C]0.0326584107310082[/C][C]0.686479124766156[/C][/ROW]
[ROW][C]tau( Rente , Brent
 )[/C][C]0.604587422757122[/C][C]2.26707541628457e-12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56047&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( Werkloosheid , Werkloosheid )0.3863685111107982.09527340278015e-06
tau( Werkloosheid , Rente )-0.4862363707440232.06878479402520e-08
tau( Werkloosheid , Brent )-0.3175808791863128.84627737948607e-05
tau( Werkloosheid , Rente )-0.3307073957469330.000134688938546689
tau( Werkloosheid , Brent )0.03265841073100820.686479124766156
tau( Rente , Brent )0.6045874227571222.26707541628457e-12


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')