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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 17 Dec 2009 21:45:49 +0100
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/Dec/17/t1261083070lfaqpcoxlv384cg.htm/, Retrieved Tue, 30 Apr 2024 00:12:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69108, Retrieved Tue, 30 Apr 2024 00:12:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2009-12-17 19:09:08] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2009-12-17 20:45:49] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataseries X:
260.6	7.5	277	7.7
291.6	8.3	260.6	7.5
275.4	7.8	291.6	8.3
275.3	7.9	275.4	7.8
231.7	6.6	275.3	7.9
238.8	7	231.7	6.6
274.2	8.2	238.8	7
277.8	8.2	274.2	8.2
299.1	9.1	277.8	8.2
286.6	9	299.1	9.1
232.3	7.1	286.6	9
294.1	8.9	232.3	7.1
267.5	8.5	294.1	8.9
309.7	9.8	267.5	8.5
280.7	8.8	309.7	9.8
287.3	9.2	280.7	8.8
235.7	7.4	287.3	9.2
256.4	8.3	235.7	7.4
289	9.7	256.4	8.3
290.8	9.7	289	9.7
321.9	10.8	290.8	9.7
291.8	9.8	321.9	10.8
241.4	7.9	291.8	9.8
295.5	9.8	241.4	7.9
258.2	9	295.5	9.8
306.1	10.5	258.2	9
281.5	9.5	306.1	10.5
283.1	9.7	281.5	9.5
237.4	8.1	283.1	9.7
274.8	10.1	237.4	8.1
299.3	11.1	274.8	10.1
300.4	11.2	299.3	11.1
340.9	12.6	300.4	11.2
318.8	12.2	340.9	12.6
265.7	9.9	318.8	12.2
322.7	11.8	265.7	9.9
281.6	11.1	322.7	11.8
323.5	12.6	281.6	11.1
312.6	11.9	323.5	12.6
310.8	11.9	312.6	11.9
262.8	10	310.8	11.9
273.8	10.8	262.8	10
320	12.9	273.8	10.8
310.3	12.5	320	12.9
342.2	13.8	310.3	12.5
320.1	13.1	342.2	13.8
265.6	10.5	320.1	13.1
327	12.9	265.6	10.5
300.7	12.9	327	12.9
346.4	14.4	300.7	12.9
317.3	12.7	346.4	14.4
326.2	13.3	317.3	12.7
270.7	11	326.2	13.3
278.2	11.9	270.7	11
324.6	14.1	278.2	11.9
321.8	14.4	324.6	14.1
343.5	14.9	321.8	14.4
354	15.7	343.5	14.9
278.2	12	354	15.7
330.2	14.3	278.2	12
307.3	14.2	330.2	14.3
375.9	17.4	307.3	14.2
335.3	15.1	375.9	17.4
339.3	15.3	335.3	15.1
280.3	12.6	339.3	15.3
293.7	14	280.3	12.6
341.2	16.6	293.7	14
345.1	16.7	341.2	16.6
368.7	17.6	345.1	16.7
369.4	18.3	368.7	17.6
288.4	13.6	369.4	18.3
341	15.8	288.4	13.6
319.1	16.1	341	15.8
374.2	18.6	319.1	16.1
344.5	17.3	374.2	18.6
337.3	17	344.5	17.3
281	13.9	337.3	17
282.2	15.2	281	13.9
321	17.8	282.2	15.2
325.4	18	321	17.8
366.3	19.4	325.4	18
380.3	21.8	366.3	19.4
300.7	16.2	380.3	21.8
359.3	19.2	300.7	16.2
327.6	19.5	359.3	19.2
383.6	22	327.6	19.5
352.4	20	383.6	22
329.4	19.2	352.4	20
294.5	16.9	329.4	19.2
333.5	20	294.5	16.9
334.3	20.4	333.5	20
358	21.8	334.3	20.4
396.1	25	358	21.8
387	25.8	396.1	25
307.2	19.4	387	25.8
363.9	22.6	307.2	19.4
344.7	24.1	363.9	22.6
397.6	26.9	344.7	24.1
376.8	24.9	397.6	26.9
337.1	23.3	376.8	24.9
299.3	20.3	337.1	23.3
323.1	22.3	299.3	20.3
329.1	23.7	323.1	22.3
347	24.3	329.1	23.7
462	31.7	347	24.3
436.5	32.2	462	31.7
360.4	25.4	436.5	32.2
415.5	28.6	360.4	25.4
382.1	28.7	415.5	28.6
432.2	30.9	382.1	28.7
424.3	31.4	432.2	30.9
386.7	29.1	424.3	31.4
354.5	26.3	386.7	29.1
375.8	28.9	354.5	26.3
368	28.9	375.8	28.9
402.4	31	368	28.9
426.5	33.4	402.4	31
433.3	35.9	426.5	33.4
338.5	25.8	433.3	35.9
416.8	31.2	338.5	25.8
381.1	31.7	416.8	31.2
445.7	36.2	381.1	31.7
412.4	32	445.7	36.2
394	32.1	412.4	32
348.2	28.1	394	32.1
380.1	31.1	348.2	28.1
373.7	31.9	380.1	31.1
393.6	32	373.7	31.9
434.2	36.6	393.6	32
430.7	38.1	434.2	36.6
344.5	28.1	430.7	38.1
411.9	32.9	344.5	28.1
370.5	30.7	411.9	32.9
437.3	35.4	370.5	30.7
411.3	33.7	437.3	35.4
385.5	31.6	411.3	33.7
341.3	27.9	385.5	31.6
384.2	32.2	341.3	27.9
373.2	32.3	384.2	32.2
415.8	35.3	373.2	32.3
448.6	37.2	415.8	35.3
454.3	39.6	448.6	37.2
350.3	28.4	454.3	39.6
419.1	33.9	350.3	28.4
398	33.7	419.1	33.9
456.1	38.3	398	33.7
430.1	34.6	456.1	38.3
399.8	32.7	430.1	34.6
362.7	29.5	399.8	32.7
384.9	32	362.7	29.5
385.3	33.2	384.9	32
432.3	36.7	385.3	33.2
468.9	38.6	432.3	36.7
442.7	38.1	468.9	38.6
370.2	29.8	442.7	38.1
439.4	35.6	370.2	29.8
393.9	33.2	439.4	35.6
468.7	38.9	393.9	33.2
438.8	34.8	468.7	38.9
430.1	37.2	438.8	34.8
366.3	29.7	430.1	37.2
391	32.2	366.3	29.7
380.9	32.1	391	32.2
431.4	36.3	380.9	32.1
465.4	38.4	431.4	36.3
471.5	40.8	465.4	38.4
387.5	31.3	471.5	40.8
446.4	36.2	387.5	31.3
421.5	35.1	446.4	36.2
504.8	44.1	421.5	35.1
492.1	39.3	504.8	44.1
421.3	34.1	492.1	39.3
396.7	32.4	421.3	34.1
428	36.3	396.7	32.4
421.9	36.8	428	36.3
465.6	40.5	421.9	36.8
525.8	46	465.6	40.5
499.9	43.9	525.8	46
435.3	37.2	499.9	43.9
479.5	40.7	435.3	37.2
473	42	479.5	40.7
554.4	49.2	473	42
489.6	42.3	554.4	49.2
462.2	40.8	489.6	42.3
420.3	37.6	462.2	40.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69108&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69108&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 time5 seconds
R Server'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Y[t] , X[t] )0.8171954043983150
tau( Y[t] , Y[t-1] )0.597507934642060
tau( Y[t] , X[t-1] )0.6734932961286610
tau( X[t] , Y[t-1] )0.6698448396533460
tau( X[t] , X[t-1] )0.8168267247982090
tau( Y[t-1] , X[t-1] )0.8181369415532350

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Y[t] , X[t] ) & 0.817195404398315 & 0 \tabularnewline
tau( Y[t] , Y[t-1] ) & 0.59750793464206 & 0 \tabularnewline
tau( Y[t] , X[t-1] ) & 0.673493296128661 & 0 \tabularnewline
tau( X[t] , Y[t-1] ) & 0.669844839653346 & 0 \tabularnewline
tau( X[t] , X[t-1] ) & 0.816826724798209 & 0 \tabularnewline
tau( Y[t-1] , X[t-1] ) & 0.818136941553235 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69108&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[t] , X[t] )[/C][C]0.817195404398315[/C][C]0[/C][/ROW]
[ROW][C]tau( Y[t] , Y[t-1] )[/C][C]0.59750793464206[/C][C]0[/C][/ROW]
[ROW][C]tau( Y[t] , X[t-1] )[/C][C]0.673493296128661[/C][C]0[/C][/ROW]
[ROW][C]tau( X[t] , Y[t-1] )[/C][C]0.669844839653346[/C][C]0[/C][/ROW]
[ROW][C]tau( X[t] , X[t-1] )[/C][C]0.816826724798209[/C][C]0[/C][/ROW]
[ROW][C]tau( Y[t-1] , X[t-1] )[/C][C]0.818136941553235[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69108&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[t] , X[t] )0.8171954043983150
tau( Y[t] , Y[t-1] )0.597507934642060
tau( Y[t] , X[t-1] )0.6734932961286610
tau( X[t] , Y[t-1] )0.6698448396533460
tau( X[t] , X[t-1] )0.8168267247982090
tau( Y[t-1] , X[t-1] )0.8181369415532350



Parameters (Session):
par1 = FALSE ; par2 = 0.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 0 ; par8 = 2 ; par9 = 1 ;
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')