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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 10 Nov 2009 14:14:43 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/10/t12578879258qa1nsp2kckraxo.htm/, Retrieved Mon, 06 May 2024 08:17:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55408, Retrieved Mon, 06 May 2024 08:17:39 +0000

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No (this computation is public)

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Estimated Impact

157

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]
- R  D    [Kendall tau Correlation Matrix] [WS6-Kendall tau C...] [2009-11-10 21:14:43] [0cc924834281808eda7297686c82928f] [Current]

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Dataseries X:

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Histogram

Boxplots

423.4	11881.4	286.1	10469.5
404.1	10374.2	307	10505.2
500	13828	358.1	12301.8
472.6	13490.5	341.8	12441
496.1	13092.2	378.8	12541.4
562	13184.4	375.2	13015.9
434.8	12398.4	295.6	11940.2
538.2	13882.3	362.7	13585.3
577.6	15861.5	409.6	15245.2
518.1	13286.1	336.8	12523.4
625.2	15634.9	389.1	14941.8
561.2	14211	389.3	13698.3
523.3	13646.8	355.9	12477.6
536.1	12224.6	542	13139.7
607.3	15916.4	648.4	14532.2
637.3	16535.9	452	15167
606.9	15796	582.4	16071.1
652.9	14418.6	506.5	14827.5
617.2	15044.5	555.5	15082
670.4	14944.2	530.4	14772.7
729.9	16754.8	609.4	16083
677.2	14254	543.9	14272.5
710	15454.9	616.2	15223.3
844.3	15644.8	634.6	14897.3
748.2	14568.3	541.7	13062.6
653.9	12520.2	549.8	12603.8
742.6	14803	627.6	13629.8
854.2	15873.2	797.4	14421.1
808.4	14755.3	689.8	13978.3
1819	12875.1	1576.6	12927.9
1936.5	14291.1	1572.1	13429.9
1966.1	14205.3	1626.4	13470.1
2083.1	15859.4	1972.4	14785.8
1620.1	15258.9	1509.6	14292
1527.6	15498.6	1584.9	14308.8
1795	15106.5	1880	14013
1685.1	15023.6	1324	13240.9
1851.8	12083	1777.7	12153.4
2164.4	15761.3	2172.4	14289.7
1981.8	16943	1780.3	15669.2
1726.5	15070.3	2134.9	14169.5
2144.6	13659.6	1838.4	14569.8
1758.2	14768.9	1557	14469.1
1672.9	14725.1	1755.2	14264.9
1837.3	15998.1	1702	15320.9
1596.1	15370.6	1577.5	14433.5
1446.0	14956.9	1485.9	13691.5
1898.4	15469.7	2179.1	14194.1
1964.1	15101.8	1740.9	13519.2
1755.9	11703.7	1724.5	11857.9
2255.3	16283.6	2328.1	14615.9
1881.2	16726.5	1774.1	15643.4
2117.9	14968.9	2224.2	14077.2
1656.5	14861	1536.3	14887.5
1544.1	14583.3	1521.2	14159.9
2098.9	15305.8	2051.8	14643
2133.3	17903.9	2483.1	17192.5
1963.5	16379.4	1929.8	15386.1
1801.2	15420.3	1808.6	14287.1
2365.4	17870.5	2584.9	17526.6
1936.5	15912.8	1997.9	14497
1667.6	13866.5	1639.9	14398.3
1983.5	17823.2	2379.1	16629.6
2058.6	17872	1715	16670.7
2448.3	17420.4	2750.9	16614.8
1858.1	16704.4	1865.4	16869.2
1625.4	15991.2	1647.4	15663.9
2130.6	16583.6	2180.4	16359.9
2515.7	19123.5	2593	18447.7
2230.2	17838.7	2057.2	16889
2086.9	17209.4	2635.8	16505
2235.0	18586.5	2315.4	18320.9
2100.2	16258.1	1863.6	15052.1
2288.6	15141.6	2038	15699.8
2490.0	19202.1	2235.8	18135.3
2573.7	17746.5	2222.1	16768.7
2543.8	19090.1	2636.9	18883
2004.7	18040.3	2076.8	19021
2390.0	17515.5	1935.5	18101.9
2338.4	17751.8	2086.3	17776.1
2724.5	21072.4	2470.9	21489.9
2292.5	17170	1854.6	17065.3
2386	19439.5	2041.3	18690
2477.9	19795.4	2170.8	18953.1
2337	17574.9	1905.5	16398.9
2605.1	16165.4	2130.2	16895.6
2560.8	19464.6	2791.2	18553
2839.3	19932.1	2539.7	19270
2407.2	19961.2	2661.3	19422.1
2085.2	17343.4	1764.9	17579.4
2735.6	18924.2	2176.9	18637.3
2798.7	18574.1	2458.5	18076.7
3053.2	21350.6	2179	20438.6
2405	18594.6	2242.5	18075.2
2471.9	19823.1	2089.6	19563
2727.3	20844.4	2661.6	19899.2
2790.7	19640.2	2112	19227.5
2385.4	17735.4	2367.3	17789.6
3206.6	19813.6	2543	19220.8
2705.6	22160	2603.9	21968.9
3518.4	20664.3	3146.7	21131.5
1954.9	17877.4	1789.2	19484.6
2584.3	20906.5	2114.8	22168.7
2535.8	21164.1	2236.3	20866.8
2685.9	21374.4	2288.1	22176.2
2866	22952.3	2173.2	23533.8
2236.6	21343.5	1877.7	21479.6
2934.9	23899.3	2807.4	24347.7
2668.6	22392.9	2357.4	22751.6
2371.2	18274.1	2107.7	20328.3
3165.9	22786.7	2856.8	23650.4
2887.2	22321.5	2510.8	23335.7
3112.2	17842.2	2875	19614.9
2671.2	16373.5	2229.7	18042.3
2432.6	15993.8	2055.1	17282.5
2812.3	16446.1	2545.4	16847.2
3095.7	17729	2775.1	18159.5
2862.9	16643	2252.2	16540.9
2607.3	16196.7	2091.7	15952.7
2862.5	18252.1	2433	18357.8

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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=55408&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=55408&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55408&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( Bel._Exp._Farm._Prod. , Bel._Exp._Tot. )	0.62203235673236	0
tau( Bel._Exp._Farm._Prod. , Bel._Imp._Farm._Prod. )	0.766580294617475	0
tau( Bel._Exp._Farm._Prod. , Bel._Imp._Tot. )	0.625674068345745	0
tau( Bel._Exp._Tot. , Bel._Imp._Farm._Prod. )	0.580392156862745	0
tau( Bel._Exp._Tot. , Bel._Imp._Tot. )	0.833333333333333	0
tau( Bel._Imp._Farm._Prod. , Bel._Imp._Tot. )	0.562745098039216	0

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Bel._Exp._Farm._Prod. , Bel._Exp._Tot. ) & 0.62203235673236 & 0 \tabularnewline
tau( Bel._Exp._Farm._Prod. , Bel._Imp._Farm._Prod. ) & 0.766580294617475 & 0 \tabularnewline
tau( Bel._Exp._Farm._Prod. , Bel._Imp._Tot. ) & 0.625674068345745 & 0 \tabularnewline
tau( Bel._Exp._Tot. , Bel._Imp._Farm._Prod. ) & 0.580392156862745 & 0 \tabularnewline
tau( Bel._Exp._Tot. , Bel._Imp._Tot. ) & 0.833333333333333 & 0 \tabularnewline
tau( Bel._Imp._Farm._Prod. , Bel._Imp._Tot. ) & 0.562745098039216 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55408&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( Bel._Exp._Farm._Prod. , Bel._Exp._Tot. )[/C][C]0.62203235673236[/C][C]0[/C][/ROW]
[ROW][C]tau( Bel._Exp._Farm._Prod. , Bel._Imp._Farm._Prod. )[/C][C]0.766580294617475[/C][C]0[/C][/ROW]
[ROW][C]tau( Bel._Exp._Farm._Prod. , Bel._Imp._Tot. )[/C][C]0.625674068345745[/C][C]0[/C][/ROW]
[ROW][C]tau( Bel._Exp._Tot. , Bel._Imp._Farm._Prod. )[/C][C]0.580392156862745[/C][C]0[/C][/ROW]
[ROW][C]tau( Bel._Exp._Tot. , Bel._Imp._Tot. )[/C][C]0.833333333333333[/C][C]0[/C][/ROW]
[ROW][C]tau( Bel._Imp._Farm._Prod. , Bel._Imp._Tot. )[/C][C]0.562745098039216[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55408&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55408&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
pair	tau	p-value
tau( Bel._Exp._Farm._Prod. , Bel._Exp._Tot. )	0.62203235673236	0
tau( Bel._Exp._Farm._Prod. , Bel._Imp._Farm._Prod. )	0.766580294617475	0
tau( Bel._Exp._Farm._Prod. , Bel._Imp._Tot. )	0.625674068345745	0
tau( Bel._Exp._Tot. , Bel._Imp._Farm._Prod. )	0.580392156862745	0
tau( Bel._Exp._Tot. , Bel._Imp._Tot. )	0.833333333333333	0
tau( Bel._Imp._Farm._Prod. , Bel._Imp._Tot. )	0.562745098039216	0

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code