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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 09 Nov 2009 02:08:21 -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/09/t1257757754eiq83g4nt9eewzd.htm/, Retrieved Fri, 26 Apr 2024 11:22:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54668, Retrieved Fri, 26 Apr 2024 11:22:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact223

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [WS 6 Kendall tau] [2009-11-09 09:08:21] [eba9f01697e64705b70041e6f338cb22] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
108.01	102.9	128	79.1
101.21	97.4	123.5	71.7
119.93	111.4	124	100
94.76	87.4	127.4	82.1
95.26	96.8	127.6	74.8
117.96	114.1	128.4	92.3
115.86	110.3	131.4	83.3
111.44	103.9	135.1	83.7
108.16	101.6	134	148
108.77	94.6	144.5	71.4
109.45	95.9	147.3	71.2
124.83	104.7	150.9	84.6
115.31	102.8	148.7	80.9
109.49	98.1	141.4	80.6
124.24	113.9	138.9	105.5
92.85	80.9	139.8	79.2
98.42	95.7	145.6	78.4
120.88	113.2	147.9	92.6
111.72	105.9	148.5	88.3
116.1	108.8	151.1	98.2
109.37	102.3	157.5	157.4
111.65	99	167.5	73.9
114.29	100.7	172.3	80.9
133.68	115.5	173.5	93
114.27	100.7	187.5	84.9
126.49	109.9	205.5	96.2
131	114.6	195.1	106.5
104	85.4	204.5	81.7
108.88	100.5	204.5	82.9
128.48	114.8	201.7	96
132.44	116.5	207	92.6
128.04	112.9	206.6	116.5
116.35	102	210.6	155
120.93	106	211.1	95.1
118.59	105.3	215	86.2
133.1	118.8	223.9	105
121.05	106.1	238.2	89.7
127.62	109.3	238.9	97.1
135.44	117.2	229.6	120.8
114.88	92.5	232.2	92.2
114.34	104.2	222.1	98.8
128.85	112.5	221.6	104.1
138.9	122.4	227.3	106.5
129.44	113.3	221	113.4
114.96	100	213.6	192.4
127.98	110.7	243.4	103.6
127.03	112.8	253.8	97.6
128.75	109.8	265.3	99.9
137.91	117.3	268.2	106.4
128.37	109.1	268.5	104.8
135.9	115.9	266.9	114.1
122.19	96	268.4	93
113.08	99.8	250.8	90.2
136.2	116.8	231.2	108.8
138	115.7	192	108.7
115.24	99.4	171.4	125.2
110.95	94.3	160	180.4
99.23	91	148.1	91.6
102.39	93.2	144.8	87.1
112.67	103.1	147.2	98.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54668&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54668&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( iotot , iptot )0.7205425549026014.44089209850063e-16
tau( iotot , gp )0.4651031550469341.52809634279549e-07
tau( iotot , invi )0.4490953099697574.09501778042554e-07
tau( iptot , gp )0.2679479932165060.00250066600064769
tau( iptot , invi )0.3898162648458641.10854794221904e-05
tau( gp , invi )0.3162660261957010.000362991156398484

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( iotot , iptot ) & 0.720542554902601 & 4.44089209850063e-16 \tabularnewline
tau( iotot , gp ) & 0.465103155046934 & 1.52809634279549e-07 \tabularnewline
tau( iotot , invi ) & 0.449095309969757 & 4.09501778042554e-07 \tabularnewline
tau( iptot , gp ) & 0.267947993216506 & 0.00250066600064769 \tabularnewline
tau( iptot , invi ) & 0.389816264845864 & 1.10854794221904e-05 \tabularnewline
tau( gp , invi ) & 0.316266026195701 & 0.000362991156398484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54668&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( iotot , iptot )[/C][C]0.720542554902601[/C][C]4.44089209850063e-16[/C][/ROW]
[ROW][C]tau( iotot , gp )[/C][C]0.465103155046934[/C][C]1.52809634279549e-07[/C][/ROW]
[ROW][C]tau( iotot , invi )[/C][C]0.449095309969757[/C][C]4.09501778042554e-07[/C][/ROW]
[ROW][C]tau( iptot , gp )[/C][C]0.267947993216506[/C][C]0.00250066600064769[/C][/ROW]
[ROW][C]tau( iptot , invi )[/C][C]0.389816264845864[/C][C]1.10854794221904e-05[/C][/ROW]
[ROW][C]tau( gp , invi )[/C][C]0.316266026195701[/C][C]0.000362991156398484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54668&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( iotot , iptot )0.7205425549026014.44089209850063e-16
tau( iotot , gp )0.4651031550469341.52809634279549e-07
tau( iotot , invi )0.4490953099697574.09501778042554e-07
tau( iptot , gp )0.2679479932165060.00250066600064769
tau( iptot , invi )0.3898162648458641.10854794221904e-05
tau( gp , invi )0.3162660261957010.000362991156398484


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')