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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 computationWed, 11 Nov 2009 03:37:05 -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/11/t1257936041f1744z86zdivhix.htm/, Retrieved Thu, 18 Apr 2024 16:15:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55477, Retrieved Thu, 18 Apr 2024 16:15:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWorkshop 2
Estimated Impact179

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] [Kendell Tau Corre...] [2009-11-11 10:37:05] [0852d9c28828e87a0aee4d255e088d63] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101	108.2	108.5	101
100.3	108.8	112.3	101
100.1	110.2	116.6	98.7
99.8	109.5	115.5	96.4
99.9	109.5	120.1	95.6
99.9	116	132.9	95.4
100.2	111.2	128.1	98.7
99.7	112.1	129.3	98.7
100.4	114	132.5	98.7
100.9	119.1	131	99.3
101.3	114.1	124.9	99.5
101.4	115.1	120.8	99.6
101.3	115.4	122	100.8
100.9	110.8	122.1	100.8
100.9	116	127.4	100.8
100.9	119.2	135.2	101
101.1	126.5	137.3	101.6
101.1	127.8	135	102.3
101.3	131.3	136	102.3
101.8	140.3	138.4	102.3
102.9	137.3	134.7	102.3
103.2	143	138.4	102.4
103.3	134.5	133.9	102.4
104.5	139.9	133.6	102.4
105	159.3	141.2	102.4
104.9	170.4	151.8	102.4
104.9	175	155.4	102.4
105.4	175.8	156.6	102.4
106	180.9	161.6	101.6
105.7	180.3	160.7	102.2
105.9	169.6	156	102.2
106.2	172.3	159.5	102.2
106.4	184.8	168.7	102.2
106.9	177.7	169.9	102.2
107.3	184.6	169.9	102.2
107.9	211.4	185.9	102.2
109.2	215.3	190.8	102.2
110.2	215.9	195.8	102.2
110.2	244.7	211.9	102.2
110.5	259.3	227.1	102.2
110.6	289	251.3	102.2
110.8	310.9	256.7	102.2
111.3	321	251.9	102.2
111.1	315.1	251.2	102.2
111.2	333.2	270.3	102.2
111.2	314.1	267.2	102.2
111.1	284.7	243	102.2
111.5	273.9	229.9	102.2
112.1	216	187.2	102.1
111.4	196.4	178.2	102.1
110.4	190.9	175.2	102.1
110	206.4	192.4	102.1
110.4	196.3	187	100.7
110	199.5	184	100.7
110	198.9	194.1	100.7
109.3	214.4	212.7	100.7
109.7	214.2	217.5	100.7
109.6	187.6	200.5	100.7
109.6	180.6	205.9	100.7
109.4	172.2	196.5	100.7

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55477&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55477&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55477&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( AFPT , PIDG )0.8118355271093540
tau( AFPT , PIDT )0.7674915697462380
tau( AFPT , AFPD )0.2277136128152160.0154586940957171
tau( PIDG , PIDT )0.87104072398190
tau( PIDG , AFPD )0.2685731156191000.00411234688630624
tau( PIDT , AFPD )0.1705226130914920.0684778389113592

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( AFPT , PIDG ) & 0.811835527109354 & 0 \tabularnewline
tau( AFPT , PIDT ) & 0.767491569746238 & 0 \tabularnewline
tau( AFPT , AFPD
 ) & 0.227713612815216 & 0.0154586940957171 \tabularnewline
tau( PIDG , PIDT ) & 0.8710407239819 & 0 \tabularnewline
tau( PIDG , AFPD
 ) & 0.268573115619100 & 0.00411234688630624 \tabularnewline
tau( PIDT , AFPD
 ) & 0.170522613091492 & 0.0684778389113592 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55477&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( AFPT , PIDG )[/C][C]0.811835527109354[/C][C]0[/C][/ROW]
[ROW][C]tau( AFPT , PIDT )[/C][C]0.767491569746238[/C][C]0[/C][/ROW]
[ROW][C]tau( AFPT , AFPD
 )[/C][C]0.227713612815216[/C][C]0.0154586940957171[/C][/ROW]
[ROW][C]tau( PIDG , PIDT )[/C][C]0.8710407239819[/C][C]0[/C][/ROW]
[ROW][C]tau( PIDG , AFPD
 )[/C][C]0.268573115619100[/C][C]0.00411234688630624[/C][/ROW]
[ROW][C]tau( PIDT , AFPD
 )[/C][C]0.170522613091492[/C][C]0.0684778389113592[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55477&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55477&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( AFPT , PIDG )0.8118355271093540
tau( AFPT , PIDT )0.7674915697462380
tau( AFPT , AFPD )0.2277136128152160.0154586940957171
tau( PIDG , PIDT )0.87104072398190
tau( PIDG , AFPD )0.2685731156191000.00411234688630624
tau( PIDT , AFPD )0.1705226130914920.0684778389113592


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')