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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 computationWed, 11 Nov 2009 07:35:24 -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/11/t12579507064ap1fmwyx2fva2w.htm/, Retrieved Wed, 24 Apr 2024 03:36:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55647, Retrieved Wed, 24 Apr 2024 03:36:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

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] [] [2009-11-11 14:35:24] [fd7715938ba69fff5a3edaf7913b7ba1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96,8	108.8	610763	4,2
114,1	128.4	612613	4
110,3	121.1	611324	4,9
103,9	119.5	594167	4,6
101,6	128.7	595454	4,3
94,6	108.7	590865	4,3
95,9	105.5	589379	4,6
104,7	119.8	584428	5,1
102,8	111.3	573100	4,8
98,1	110.6	567456	4,5
113,9	120.1	569028	4,9
80,9	97.5	620735	5,1
95,7	107.7	628884	5,1
113,2	127.3	628232	5,2
105,9	117.2	612117	4,5
108,8	119.8	595404	4,6
102,3	116.2	597141	4,9
99	111	593408	4,6
100,7	112.4	590072	4,4
115,5	130.6	579799	3,7
100,7	109.1	574205	4
109,9	118.8	572775	4,2
114,6	123.9	572942	3,9
85,4	101.6	619567	3,6
100,5	112.8	625809	3,6
114,8	128	619916	3,2
116,5	129.6	587625	3,2
112,9	125.8	565742	3,5
102	119.5	557274	3,6
106	115.7	560576	3,7
105,3	113.6	548854	3,8
118,8	129.7	531673	3,8
106,1	112	525919	3,8
109,3	116.8	511038	3,3
117,2	127	498662	3,3
92,5	112.1	555362	3,4
104,2	114.2	564591	3,1
112,5	121.1	541657	3,5
122,4	131.6	527070	4,2
113,3	125	509846	4,9
100	120.4	514258	5,1
110,7	117.7	516922	5,5
112,8	117.5	507561	5,6
109,8	120.6	492622	6,4
117,3	127.5	490243	6,2
109,1	112.3	469357	7,2
115,9	124.5	477580	7,8
96	115.2	528379	7,9
99,8	104.7	533590	7,4
116,8	130.9	517945	7,5
115,7	129.2	506174	6,7
99,4	113.5	501866	5,1
94,3	125.6	516141	4,6
91	107.6	528222	4,3
93,2	107	532638	3,9
103,1	121.6	536322	2,6
94,1	110.7	536535	2,6
91,8	106.3	523597	1,6
102,7	118.6	536214	0,9
82,6	104.6	586570	0,3
89,1	103.5	596594	1,2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55647&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]3 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=55647&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55647&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Tot_Industriele_productie , Tot_prod_consumptiegdn )0.6870898183451135.32907051820075e-15
tau( Tot_Industriele_productie , Tot_niet_werkende_werkzoekenden )-0.1776441717067400.0431261226074403
tau( Tot_Industriele_productie , Nat_consumptieprijsindex )0.1201311006389730.176345866857349
tau( Tot_prod_consumptiegdn , Tot_niet_werkende_werkzoekenden )-0.1525841366577460.082511851942472
tau( Tot_prod_consumptiegdn , Nat_consumptieprijsindex )0.08031585806064840.3662574851951
tau( Tot_niet_werkende_werkzoekenden , Nat_consumptieprijsindex )-0.1173310321249770.186530418218735

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Tot_Industriele_productie , Tot_prod_consumptiegdn ) & 0.687089818345113 & 5.32907051820075e-15 \tabularnewline
tau( Tot_Industriele_productie , Tot_niet_werkende_werkzoekenden ) & -0.177644171706740 & 0.0431261226074403 \tabularnewline
tau( Tot_Industriele_productie , Nat_consumptieprijsindex ) & 0.120131100638973 & 0.176345866857349 \tabularnewline
tau( Tot_prod_consumptiegdn , Tot_niet_werkende_werkzoekenden ) & -0.152584136657746 & 0.082511851942472 \tabularnewline
tau( Tot_prod_consumptiegdn , Nat_consumptieprijsindex ) & 0.0803158580606484 & 0.3662574851951 \tabularnewline
tau( Tot_niet_werkende_werkzoekenden , Nat_consumptieprijsindex ) & -0.117331032124977 & 0.186530418218735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55647&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( Tot_Industriele_productie , Tot_prod_consumptiegdn )[/C][C]0.687089818345113[/C][C]5.32907051820075e-15[/C][/ROW]
[ROW][C]tau( Tot_Industriele_productie , Tot_niet_werkende_werkzoekenden )[/C][C]-0.177644171706740[/C][C]0.0431261226074403[/C][/ROW]
[ROW][C]tau( Tot_Industriele_productie , Nat_consumptieprijsindex )[/C][C]0.120131100638973[/C][C]0.176345866857349[/C][/ROW]
[ROW][C]tau( Tot_prod_consumptiegdn , Tot_niet_werkende_werkzoekenden )[/C][C]-0.152584136657746[/C][C]0.082511851942472[/C][/ROW]
[ROW][C]tau( Tot_prod_consumptiegdn , Nat_consumptieprijsindex )[/C][C]0.0803158580606484[/C][C]0.3662574851951[/C][/ROW]
[ROW][C]tau( Tot_niet_werkende_werkzoekenden , Nat_consumptieprijsindex )[/C][C]-0.117331032124977[/C][C]0.186530418218735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55647&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55647&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( Tot_Industriele_productie , Tot_prod_consumptiegdn )0.6870898183451135.32907051820075e-15
tau( Tot_Industriele_productie , Tot_niet_werkende_werkzoekenden )-0.1776441717067400.0431261226074403
tau( Tot_Industriele_productie , Nat_consumptieprijsindex )0.1201311006389730.176345866857349
tau( Tot_prod_consumptiegdn , Tot_niet_werkende_werkzoekenden )-0.1525841366577460.082511851942472
tau( Tot_prod_consumptiegdn , Nat_consumptieprijsindex )0.08031585806064840.3662574851951
tau( Tot_niet_werkende_werkzoekenden , Nat_consumptieprijsindex )-0.1173310321249770.186530418218735


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')