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 computationMon, 26 Nov 2007 13:51:10 -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/26/t119610969371pv9pzi0hornxa.htm/, Retrieved Thu, 02 May 2024 20:32:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14494, Retrieved Thu, 02 May 2024 20:32:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWorkshop 7, vraag 3
Estimated Impact214

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] [Workshop 7, vraag 3] [2007-11-26 20:51:10] [900150983cd24fb0d6963f7d28e17f72] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.4	105.9	97.4
91.9	103.4	50.7
114.3	116.1	106.1
109.3	112.2	97.5
106.1	109.6	92.4
118.8	121.8	106.5
105.3	108.8	91.3
106	111.50	85.2
102	108.5	77.7
112.9	115.4	102.5
116.5	119.3	104.8
114.8	116.5	107.1
100.5	101.9	94
85.4	96.6	44.7
114.6	116.6	105.9
109.9	112.5	99
100.7	103.7	88.5
115.5	118.5	103.3
100.7	105	84
99	105	76.7
102.3	109.1	76.5
108.8	112.6	93.6
105.9	108.2	96.5
113.2	114.4	107.4
95.7	95.9	93.6
80.9	90.8	44.1
113.9	115	108.8
98.1	99.8	90.7
102.8	103	100.7
104.7	108.4	90.1
95.9	99.2	82.9
94.6	100.6	71.9
101.6	107.1	79.8
103.9	107	91.1
110.3	111.9	103.5
114.1	115.6	107.7
96.8	97.7	92.9
87.4	97.3	49.1
111.4	111.8	109.1
97.4	99.3	89.2
102.9	104.6	96
112.7	113.3	109.4
97	98.7	90.1
95.1	98.2	82.7
96.9	102.5	74.5
98.6	100.8	89.6
111.7	111.4	112.5
109.8	108.9	113.1
89.9	90.4	87.6
87.4	94.6	58.5
104.5	104.3	105
98.1	99	94
102.7	103	100.8
105.4	105.1	105.9
97	98.9	88.9
97.4	101	82.7
92	96.5	72.5
101.7	102.8	97.4
112.6	112.3	113.8
106.9	106.5	109.1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=14494&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]2 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=14494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14494&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 time2 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( a , b )0.837249098898560
tau( a , c )0.636054523972558.2001072598814e-13
tau( b , c )0.4718214869112551.07370712543187e-07

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( a , b ) & 0.83724909889856 & 0 \tabularnewline
tau( a , c
 ) & 0.63605452397255 & 8.2001072598814e-13 \tabularnewline
tau( b , c
 ) & 0.471821486911255 & 1.07370712543187e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14494&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( a , b )[/C][C]0.83724909889856[/C][C]0[/C][/ROW]
[ROW][C]tau( a , c
 )[/C][C]0.63605452397255[/C][C]8.2001072598814e-13[/C][/ROW]
[ROW][C]tau( b , c
 )[/C][C]0.471821486911255[/C][C]1.07370712543187e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14494&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( a , b )0.837249098898560
tau( a , c )0.636054523972558.2001072598814e-13
tau( b , c )0.4718214869112551.07370712543187e-07


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')