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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, 17 Dec 2008 14:29:30 -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/2008/Dec/17/t12295494029bqgbg5sb2tk0fm.htm/, Retrieved Mon, 20 May 2024 17:13:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34568, Retrieved Mon, 20 May 2024 17:13:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact274
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Correlation: inve...] [2008-12-16 19:18:46] [5161246d1ccc1b670cc664d03050f084]
- RMPD  [Univariate Data Series] [] [2008-12-17 14:56:45] [b98453cac15ba1066b407e146608df68]
- RMP     [ARIMA Backward Selection] [] [2008-12-17 19:26:06] [b98453cac15ba1066b407e146608df68]
- RMPD        [Kendall tau Correlation Matrix] [] [2008-12-17 21:29:30] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataseries X:
1721	0	0.44
1476	0	0.09
1842	0	0.2
2171	0	0.82
1670	0	0.5
1540	0	0.2
1266	0	1
897	0	0.47
1266	0	0.49
1519	0	0.82
1074	0	0.39
1435	0	0.6
1385	0	0.59
1440	0	0.72
1883	0	0.97
1822	0	0.58
1661	0	0.27
1774	0	0.84
1133	0	0.51
1361	0	0.13
1688	0	0.65
2216	0	0.51
2896	0	1.06
1382	0	0.81
1330	0	0.54
1419	0	0.85
1662	0	0.93
2040	0	0.29
2126	0	1.01
1649	0	0.65
1610	0	0.88
1952	0	0.45
2102	0	0.74
1749	0	1.08
2091	0	0.27
3036	0	0.24
2414	0	0.27
2097	0	0.25
2705	0	0.69
2431	0	0.73
4192	1	1.04
3990	0	1.04
2854	0	0.3
1966	0	0.59
2431	0	0.72
2763	0	0.22
2831	0	1.12
2023	0	0.93
2934	0	0.99
2489	0	0.56
3252	0	1
3018	0	0.57
3193	0	1
3976	0	0.97
2584	0	0.3
2512	0	0.45
2169	0	0.73
2504	0	1.13
1843	0	0.65
1408	-1	0.64
2179	0	0.68
3690	0	0.41
2372	0	0.98
2494	0	0.3
3872	0	0.37
2786	0	1.12
2312	0	0.4
1599	0	0.5
3167	0	1.23
3433	0	0.94
2648	0	1.08
1978	0	1.12
1947	0	0.83
3113	0	1.22
2856	0	0.55
3174	0	0.38
3507	0	1.26
4174	0	0.49
2978	0	1.13
4428	0	1.07
2832	0	0.86
2930	0	0.94
3681	0	0.45
3253	0	0.66
1660	-1	0.71
2208	0	0.54
3139	0	0.9
3409	0	1.23
3445	0	0.46
2410	0	1.33
3262	0	0.64
2897	0	0.9
2526	0	0.5
3982	0	1.37
4097	0	0.96
3403	0	0.62
3362	0	1.24
2708	0	1.1
3129	0	0.86
3550	0	1.2
2696	0	0.77
2885	0	0.67
2945	0	1.05
3600	0	1.32
3808	0	0.6
3671	0	1.31
4005	0	1.41




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34568&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34568&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34568&T=0

As an alternative you can also use a 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







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Y , D )0.1933755907410770.0149280992568883
tau( Y , X )0.2628333445548696.3814254489758e-05
tau( D , X )0.06016340385482070.450339521451319

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Y , D ) & 0.193375590741077 & 0.0149280992568883 \tabularnewline
tau( Y , X ) & 0.262833344554869 & 6.3814254489758e-05 \tabularnewline
tau( D , X ) & 0.0601634038548207 & 0.450339521451319 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34568&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( Y , D )[/C][C]0.193375590741077[/C][C]0.0149280992568883[/C][/ROW]
[ROW][C]tau( Y , X )[/C][C]0.262833344554869[/C][C]6.3814254489758e-05[/C][/ROW]
[ROW][C]tau( D , X )[/C][C]0.0601634038548207[/C][C]0.450339521451319[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34568&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34568&T=1

As an alternative you can also use a 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( Y , D )0.1933755907410770.0149280992568883
tau( Y , X )0.2628333445548696.3814254489758e-05
tau( D , X )0.06016340385482070.450339521451319



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')