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 computationWed, 28 Nov 2007 02:20:30 -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/28/t11962410493s5osdfogemnca6.htm/, Retrieved Thu, 02 May 2024 11:15:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6976, Retrieved Thu, 02 May 2024 11:15:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199

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] [] [2007-11-28 09:20:30] [7259c5d851fac60b56aa6e45a0791cb0] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105.3	1.0137	85.6	85.21
103	0.9834	95.85	96.95
103.8	0.9643	109.51	108.8
103.4	0.947	91.72	89.38
105.8	0.906	107.95	106.63
101.4	0.9492	98.11	97.76
97	0.9397	94.22	89.05
94.3	0.9041	84.4	93.78
96.6	0.8721	109.89	103.71
97.1	0.8552	114.16	108.24
95.7	0.8564	109.05	114.7
96.9	0.8973	99.54	105.82
97.4	0.9383	103.87	107.63
95.3	0.9217	103.17	105.43
93.6	0.9095	115.68	114.78
91.5	0.892	98.41	101.86
93.1	0.8742	106.7	108.64
91.7	0.8532	108.01	106.31
94.3	0.8607	100.58	93.22
93.9	0.9005	86.44	89.95
90.9	0.9111	102.2	97.27
88.3	0.9059	109.59	102.92
91.3	0.8883	101.87	99.76
91.7	0.8924	88.89	92.26
92.4	0.8833	98.67	95.84
92	0.87	98.08	96.13
95.6	0.8758	109.49	105.52
95.8	0.8858	105.35	102
96.4	0.917	107	102.12
99	0.9554	104.3	100
107	0.9922	103.72	94.49
109.7	0.9778	83.42	86.73
116.2	0.9808	108.82	101.99
115.9	0.9811	116.98	111.83
113.8	1.0014	104.05	101.12
112.6	1.0183	94.31	103.98
113.7	1.0622	101.96	103.26
115.9	1.0773	101.66	101.81
110.3	1.0807	110.45	109.34
111.3	1.0848	106.12	103.01
113.4	1.1582	103.26	97.71
108.2	1.1663	106.8	101.3
104.8	1.1372	104.26	96.48
106	1.1139	80.81	84.62
110.9	1.1222	112.42	104.31
115	1.1692	115.47	111.64
118.4	1.1702	103.34	100.47
121.4	1.2286	102.6	106.24
128.8	1.2613	100.69	101.05
131.7	1.2646	105.67	104.49
141.7	1.2262	123.61	122.69
142.9	1.1985	113.08	109.8
139.4	1.2007	106.46	101.95
134.7	1.2138	123.38	125.07
125	1.2266	109.87	103.46
113.6	1.2176	95.74	102.75
111.5	1.2218	123.06	118.68
108.5	1.249	123.39	118.96
112.3	1.2991	120.28	118.57
116.6	1.3408	115.33	120.39

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6976&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6976&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6976&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( LM , D/E )0.6474415673500582.81108469835090e-13
tau( LM , EX )0.1984733538339480.0251696255083149
tau( LM , IM )0.2007351584360440.0235555085717016
tau( D/E , EX )0.1683615819209040.0573514688534995
tau( D/E , IM )0.1717514124293790.0525147187031818
tau( EX , IM )0.6779661016949151.95399252334028e-14

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( LM , D/E ) & 0.647441567350058 & 2.81108469835090e-13 \tabularnewline
tau( LM , EX ) & 0.198473353833948 & 0.0251696255083149 \tabularnewline
tau( LM , IM ) & 0.200735158436044 & 0.0235555085717016 \tabularnewline
tau( D/E , EX ) & 0.168361581920904 & 0.0573514688534995 \tabularnewline
tau( D/E , IM ) & 0.171751412429379 & 0.0525147187031818 \tabularnewline
tau( EX , IM ) & 0.677966101694915 & 1.95399252334028e-14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6976&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( LM , D/E )[/C][C]0.647441567350058[/C][C]2.81108469835090e-13[/C][/ROW]
[ROW][C]tau( LM , EX )[/C][C]0.198473353833948[/C][C]0.0251696255083149[/C][/ROW]
[ROW][C]tau( LM , IM )[/C][C]0.200735158436044[/C][C]0.0235555085717016[/C][/ROW]
[ROW][C]tau( D/E , EX )[/C][C]0.168361581920904[/C][C]0.0573514688534995[/C][/ROW]
[ROW][C]tau( D/E , IM )[/C][C]0.171751412429379[/C][C]0.0525147187031818[/C][/ROW]
[ROW][C]tau( EX , IM )[/C][C]0.677966101694915[/C][C]1.95399252334028e-14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6976&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6976&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( LM , D/E )0.6474415673500582.81108469835090e-13
tau( LM , EX )0.1984733538339480.0251696255083149
tau( LM , IM )0.2007351584360440.0235555085717016
tau( D/E , EX )0.1683615819209040.0573514688534995
tau( D/E , IM )0.1717514124293790.0525147187031818
tau( EX , IM )0.6779661016949151.95399252334028e-14


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')