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 computationSun, 25 Nov 2007 03:16:41 -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/Nov/25/t1195985266tw6xhoy21yohgrj.htm/, Retrieved Sat, 04 May 2024 09:52:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6397, Retrieved Sat, 04 May 2024 09:52:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact250

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] [WS7Q3.2] [2007-11-25 10:16:41] [77c9c0d97755c69877fabe95ec1f485a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
182,38	3,58	180,98	182,5
91,87	2,11	90,81	91,75
92,23	2,57	91,25	91,86
92,24	1,82	91,43	91,94
92,58	2,28	90,95	91,87
93,02	3,34	91,23	92,02
93,03	2,83	92,47	92,23
92,79	2,97	92,09	92,14
94,1	3,84	91,29	92,41
93	2,58	90,92	92,3
93,85	3,23	91,53	92,5
93,04	1,88	92,12	92,53
93,11	1,91	92,22	93,18
94	2,3	92,69	93,5
94,02	1,93	92,26	93,5
95,43	3,49	93,4	93,69
95,82	3,49	93,03	93,61
95,54	2,72	93,58	93,78
95,24	2,37	95,16	93,85
95,29	2,69	93,95	94
95,84	1,85	93,88	94,14
95,27	2,44	94,48	94,41
95,64	1,91	95,63	94,41
95,13	2,23	95,25	94,49
96,47	3,62	95,65	95,4
96,22	2,36	97,09	95,72
96,56	2,71	96,17	95,73
96,37	0,95	94,66	95,84
96,64	0,85	95,83	96,14
95,95	0,43	96,29	96,03
96,84	1,68	97,06	96,33
96,47	1,24	96,79	96,53
97,04	1,26	95,77	96,5
96,55	1,32	94,87	96,66
96,5	0,91	96,38	96,9
96,68	1,64	96,86	96,9
97,49	1,05	96,23	97,57
98,4	2,27	97,56	97,81
98,29	1,78	97	97,92
97,51	1,2	98,29	98,01
97,22	0,6	97,03	98,22
98,05	2,2	97,99	98,36
98,15	1,36	98,7	98,3
98,5	2,09	98,26	98,57
98,79	1,81	97,6	98,71
97,87	1,36	97,95	98,68
98,55	2,14	98,87	98,88
98,25	1,62	99,16	98,67
98,89	1,44	98,68	99,39
99,34	0,93	100,07	99,99
99,25	1	98,68	99,9
100,17	2,71	100,32	99,89
100,42	3,3	99,56	100,22
99,93	1,91	99,98	99,97
100,66	2,56	101,5	100,25
100,56	2,11	100,53	100,18
100,58	1,8	100,33	100,39
101,49	3,69	100,68	100,57
100,76	2,24	100,93	100,44
100,22	1,99	100,65	100,57
101,11	2,25	102,18	101,4
102,19	2,88	102,1	101,57
102,81	3,57	101,81	101,58
102,62	2,45	101,25	101,94
102,69	2,26	102,14	101,82
103,16	3,23	102,63	102,03
104,09	3,41	103,85	102,25
103,67	3,08	102,58	102,37
103,81	3,21	102,15	102,68
103,31	1,78	103,14	102,79
103,44	2,67	103,61	102,72
103,43	3,21	103,21	103,05
103,51	2,37	102,63	106,7
104,38	2,13	104,04	104,96
103,85	1	102,88	105,25
104,91	2,23	103,6	105,22
105,18	2,42	103,61	105,5
104,75	1,55	103,96	105,76
105,49	1,33	105,11	105,82
105,39	1,66	104,64	105,86
104,66	0,81	103,65	106,37
104,54	1,2	104,37	105,99
105,27	1,77	104,23	106,23
105,29	1,79	104,85	106,43
105,25	1,68	104,76	106,94
106,34	1,88	106,31	106,87
105,79	1,87	105,74	107,28
106,74	1,74	105,87	107,19
106	0,78	105,98	107,46
106,11	1,3	105,76	107,52
107,02	1,45	107,17	107,78
106,31	0,87	106,37	107,79
106,64	1,9	105,03	107,87

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6397&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]1 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=6397&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6397&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Index , Inflatie )-0.1079753393324090.125985402738116
tau( Index , Diensten )0.9069223821440570
tau( Index , Huur )0.9259736273298520
tau( Inflatie , Diensten )-0.1318966036693570.0616645598417523
tau( Inflatie , Huur )-0.1457358516005990.0389662464022069
tau( Diensten , Huur )0.9121534744822260

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Index , Inflatie ) & -0.107975339332409 & 0.125985402738116 \tabularnewline
tau( Index , Diensten ) & 0.906922382144057 & 0 \tabularnewline
tau( Index , Huur ) & 0.925973627329852 & 0 \tabularnewline
tau( Inflatie , Diensten ) & -0.131896603669357 & 0.0616645598417523 \tabularnewline
tau( Inflatie , Huur ) & -0.145735851600599 & 0.0389662464022069 \tabularnewline
tau( Diensten , Huur ) & 0.912153474482226 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6397&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( Index , Inflatie )[/C][C]-0.107975339332409[/C][C]0.125985402738116[/C][/ROW]
[ROW][C]tau( Index , Diensten )[/C][C]0.906922382144057[/C][C]0[/C][/ROW]
[ROW][C]tau( Index , Huur )[/C][C]0.925973627329852[/C][C]0[/C][/ROW]
[ROW][C]tau( Inflatie , Diensten )[/C][C]-0.131896603669357[/C][C]0.0616645598417523[/C][/ROW]
[ROW][C]tau( Inflatie , Huur )[/C][C]-0.145735851600599[/C][C]0.0389662464022069[/C][/ROW]
[ROW][C]tau( Diensten , Huur )[/C][C]0.912153474482226[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6397&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6397&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( Index , Inflatie )-0.1079753393324090.125985402738116
tau( Index , Diensten )0.9069223821440570
tau( Index , Huur )0.9259736273298520
tau( Inflatie , Diensten )-0.1318966036693570.0616645598417523
tau( Inflatie , Huur )-0.1457358516005990.0389662464022069
tau( Diensten , Huur )0.9121534744822260


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')