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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 computationTue, 11 Dec 2007 05:12:24 -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/2007/Dec/11/t1197374323gh0rq6im3wmavqm.htm/, Retrieved Mon, 29 Apr 2024 01:53:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3107, Retrieved Mon, 29 Apr 2024 01:53:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact241

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] [PAPER Kendall Tau...] [2007-12-11 12:12:24] [44e3ac4f32e975b756edf7d4f50e5cb3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
117	100.6	118.4
103.8	101.2	108.1
100.8	93.1	105.4
110.6	84.2	114.6
104	85.8	106.9
112.6	91.8	115.9
107.3	92.4	109.8
98.9	80.3	101.8
109.8	79.7	114.2
104.9	62.5	110.8
102.2	57.1	108.4
123.9	100.8	127.5
124.9	100.7	128.6
112.7	86.2	116.6
121.9	83.2	127.4
100.6	71.7	105
104.3	77.5	108.3
120.4	89.8	125
107.5	80.3	111.6
102.9	78.7	106.5
125.6	93.8	130.3
107.5	57.6	115
108.8	60.6	116.1
128.4	91	134
121.1	85.3	126.5
119.5	77.4	125.8
128.7	77.3	136.4
108.7	68.3	114.9
105.5	69.9	110.9
119.8	81.7	125.5
111.3	75.1	116.8
110.6	69.9	116.8
120.1	84	125.5
97.5	54.3	104.2
107.7	60	115.1
127.3	89.9	132.8
117.2	77	123.3
119.8	85.3	124.8
116.2	77.6	122
111	69.2	117.4
112.4	75.5	117.9
130.6	85.7	137.4
109.1	72.2	114.6
118.8	79.9	124.7
123.9	85.3	129.6
101.6	52.2	109.4
112.8	61.2	120.9
128	82.4	134.9
129.6	85.4	136.3
125.8	78.2	133.2
119.5	70.2	127.2
115.7	70.2	122.7
113.6	69.3	120.5
129.7	77.5	137.8
112	66.1	119.1
116.8	69	124.3
127	79.2	134.4
112.9	58.2	121.7
113.3	64.5	121
121.7	76.4	128.6

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=3107&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=3107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3107&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( a , b )0.3004535630173360.000721774271577713
tau( a , c )0.912489416372470
tau( b , c )0.2125248713519060.0167436079085344

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( a , b ) & 0.300453563017336 & 0.000721774271577713 \tabularnewline
tau( a , c
 ) & 0.91248941637247 & 0 \tabularnewline
tau( b , c
 ) & 0.212524871351906 & 0.0167436079085344 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3107&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]0.300453563017336[/C][C]0.000721774271577713[/C][/ROW]
[ROW][C]tau( a , c
 )[/C][C]0.91248941637247[/C][C]0[/C][/ROW]
[ROW][C]tau( b , c
 )[/C][C]0.212524871351906[/C][C]0.0167436079085344[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3107&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 )0.3004535630173360.000721774271577713
tau( a , c )0.912489416372470
tau( b , c )0.2125248713519060.0167436079085344


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')