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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 computationTue, 21 Dec 2010 18:16:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/21/t1292955416p0qn2bamvh8v5yz.htm/, Retrieved Sun, 19 May 2024 17:13:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113797, Retrieved Sun, 19 May 2024 17:13:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Paper: Kendall ta...] [2010-12-21 18:16:53] [6f3869f9d1e39c73f93153f1f7803f84] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
695	0	641	696	729	839	627	608
638	0	695	641	696	729	696	651
762	0	638	695	641	696	825	691
635	0	762	638	695	641	677	627
721	0	635	762	638	695	656	634
854	0	721	635	762	638	785	731
418	0	854	721	635	762	412	475
367	0	418	854	721	635	352	337
824	0	367	418	854	721	839	803
687	0	824	367	418	854	729	722
601	0	687	824	367	418	696	590
676	0	601	687	824	367	641	724
740	0	676	601	687	824	695	627
691	0	740	676	601	687	638	696
683	0	691	740	676	601	762	825
594	0	683	691	740	676	635	677
729	0	594	683	691	740	721	656
731	0	729	594	683	691	854	785
386	0	731	729	594	683	418	412
331	0	386	731	729	594	367	352
706	0	331	386	731	729	824	839
715	0	706	331	386	731	687	729
657	0	715	706	331	386	601	696
653	0	657	715	706	331	676	641
642	0	653	657	715	706	740	695
643	0	642	653	657	715	691	638
718	0	643	642	653	657	683	762
654	0	718	643	642	653	594	635
632	0	654	718	643	642	729	721
731	0	632	654	718	643	731	854
392	1	731	632	654	718	386	418
344	1	392	731	632	654	331	367
792	1	344	392	731	632	706	824
852	1	792	344	392	731	715	687
649	1	852	792	344	392	657	601
629	1	649	852	792	344	653	676
685	1	629	649	852	792	642	740
617	1	685	629	649	852	643	691
715	1	617	685	629	649	718	683
715	1	715	617	685	629	654	594
629	1	715	715	617	685	632	729
916	1	629	715	715	617	731	731
531	1	916	629	715	715	392	386
357	1	531	916	629	715	344	331
917	1	357	531	916	629	792	706
828	1	917	357	531	916	852	715
708	1	828	917	357	531	649	657
858	1	708	828	917	357	629	653
775	1	858	708	828	917	685	642
785	1	775	858	708	828	617	643
1006	1	785	775	858	708	715	718
789	1	1006	785	775	858	715	654
734	1	789	1006	785	775	629	632
906	1	734	789	1006	785	916	731
532	1	906	734	789	1006	531	392
387	1	532	906	734	789	357	344
991	1	387	532	906	734	917	792
841	1	991	387	532	906	828	852
892	1	841	991	387	532	708	649
782	1	892	841	991	387	858	629

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132
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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \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=113797&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/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=113797&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113797&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132
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'.






Correlations for all pairs of data series (method=kendall)
faillissementcrisist-1t-2t-3t-4t-12t-24
faillissement10.2140.087-0.1620.1910.0790.5310.421
crisis0.21410.2180.1770.1440.118-0.047-0.073
t-10.0870.21810.073-0.1840.168-0.009-0.116
t-2-0.1620.1770.07310.057-0.21-0.287-0.329
t-30.1910.144-0.1840.05710.0440.1120.077
t-40.0790.1180.168-0.210.04410.0440.013
t-120.531-0.047-0.009-0.2870.1120.04410.532
t-24 0.421-0.073-0.116-0.3290.0770.0130.5321

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & faillissement & crisis & t-1 & t-2 & t-3 & t-4 & t-12 & t-24
 \tabularnewline
faillissement & 1 & 0.214 & 0.087 & -0.162 & 0.191 & 0.079 & 0.531 & 0.421 \tabularnewline
crisis & 0.214 & 1 & 0.218 & 0.177 & 0.144 & 0.118 & -0.047 & -0.073 \tabularnewline
t-1 & 0.087 & 0.218 & 1 & 0.073 & -0.184 & 0.168 & -0.009 & -0.116 \tabularnewline
t-2 & -0.162 & 0.177 & 0.073 & 1 & 0.057 & -0.21 & -0.287 & -0.329 \tabularnewline
t-3 & 0.191 & 0.144 & -0.184 & 0.057 & 1 & 0.044 & 0.112 & 0.077 \tabularnewline
t-4 & 0.079 & 0.118 & 0.168 & -0.21 & 0.044 & 1 & 0.044 & 0.013 \tabularnewline
t-12 & 0.531 & -0.047 & -0.009 & -0.287 & 0.112 & 0.044 & 1 & 0.532 \tabularnewline
t-24
 & 0.421 & -0.073 & -0.116 & -0.329 & 0.077 & 0.013 & 0.532 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113797&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]faillissement[/C][C]crisis[/C][C]t-1[/C][C]t-2[/C][C]t-3[/C][C]t-4[/C][C]t-12[/C][C]t-24
[/C][/ROW]
[ROW][C]faillissement[/C][C]1[/C][C]0.214[/C][C]0.087[/C][C]-0.162[/C][C]0.191[/C][C]0.079[/C][C]0.531[/C][C]0.421[/C][/ROW]
[ROW][C]crisis[/C][C]0.214[/C][C]1[/C][C]0.218[/C][C]0.177[/C][C]0.144[/C][C]0.118[/C][C]-0.047[/C][C]-0.073[/C][/ROW]
[ROW][C]t-1[/C][C]0.087[/C][C]0.218[/C][C]1[/C][C]0.073[/C][C]-0.184[/C][C]0.168[/C][C]-0.009[/C][C]-0.116[/C][/ROW]
[ROW][C]t-2[/C][C]-0.162[/C][C]0.177[/C][C]0.073[/C][C]1[/C][C]0.057[/C][C]-0.21[/C][C]-0.287[/C][C]-0.329[/C][/ROW]
[ROW][C]t-3[/C][C]0.191[/C][C]0.144[/C][C]-0.184[/C][C]0.057[/C][C]1[/C][C]0.044[/C][C]0.112[/C][C]0.077[/C][/ROW]
[ROW][C]t-4[/C][C]0.079[/C][C]0.118[/C][C]0.168[/C][C]-0.21[/C][C]0.044[/C][C]1[/C][C]0.044[/C][C]0.013[/C][/ROW]
[ROW][C]t-12[/C][C]0.531[/C][C]-0.047[/C][C]-0.009[/C][C]-0.287[/C][C]0.112[/C][C]0.044[/C][C]1[/C][C]0.532[/C][/ROW]
[ROW][C]t-24
[/C][C]0.421[/C][C]-0.073[/C][C]-0.116[/C][C]-0.329[/C][C]0.077[/C][C]0.013[/C][C]0.532[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113797&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113797&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:

Correlations for all pairs of data series (method=kendall)
faillissementcrisist-1t-2t-3t-4t-12t-24
faillissement10.2140.087-0.1620.1910.0790.5310.421
crisis0.21410.2180.1770.1440.118-0.047-0.073
t-10.0870.21810.073-0.1840.168-0.009-0.116
t-2-0.1620.1770.07310.057-0.21-0.287-0.329
t-30.1910.144-0.1840.05710.0440.1120.077
t-40.0790.1180.168-0.210.04410.0440.013
t-120.531-0.047-0.009-0.2870.1120.04410.532
t-24 0.421-0.073-0.116-0.3290.0770.0130.5321






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
faillissement;crisis0.21550.25990.2142
p-value(0.0982)(0.0449)(0.0459)
faillissement;t-10.15410.12710.0873
p-value(0.2396)(0.3331)(0.3259)
faillissement;t-2-0.2568-0.2164-0.162
p-value(0.0477)(0.0968)(0.0681)
faillissement;t-30.19590.27020.191
p-value(0.1337)(0.0368)(0.0316)
faillissement;t-40.02040.10.0788
p-value(0.8773)(0.4469)(0.3752)
faillissement;t-120.85140.6980.5306
p-value(0)(0)(0)
faillissement;t-24 0.77840.57610.4206
p-value(0)(0)(0)
crisis;t-10.22020.26470.2182
p-value(0.0909)(0.041)(0.042)
crisis;t-20.18870.21460.1769
p-value(0.1487)(0.0996)(0.0992)
crisis;t-30.16190.17420.1437
p-value(0.2165)(0.1831)(0.1809)
crisis;t-40.12240.14340.1183
p-value(0.3517)(0.2743)(0.2707)
crisis;t-12-0.044-0.0568-0.0468
p-value(0.7386)(0.6665)(0.6627)
crisis;t-24 -0.1196-0.0885-0.073
p-value(0.3626)(0.5011)(0.4964)
t-1;t-20.14220.10820.0725
p-value(0.2784)(0.4104)(0.4142)
t-1;t-3-0.2722-0.2456-0.1842
p-value(0.0354)(0.0585)(0.0381)
t-1;t-40.17470.23380.1683
p-value(0.1818)(0.0722)(0.0581)
t-1;t-120.09310.0022-0.0091
p-value(0.4792)(0.987)(0.9187)
t-1;t-24 0.0079-0.1455-0.1156
p-value(0.9521)(0.2673)(0.1931)
t-2;t-30.1220.08460.0572
p-value(0.353)(0.5204)(0.5194)
t-2;t-4-0.3298-0.2941-0.2103
p-value(0.0101)(0.0225)(0.0179)
t-2;t-12-0.3816-0.3958-0.2868
p-value(0.0026)(0.0017)(0.0012)
t-2;t-24 -0.4493-0.4721-0.3288
p-value(3e-04)(1e-04)(2e-04)
t-3;t-40.09510.06280.0442
p-value(0.4697)(0.6336)(0.6188)
t-3;t-120.1480.14250.1117
p-value(0.2592)(0.2775)(0.2088)
t-3;t-24 0.04510.11690.0766
p-value(0.732)(0.3738)(0.3891)
t-4;t-120.01330.05730.0437
p-value(0.9195)(0.6636)(0.6233)
t-4;t-24 -0.03950.02570.013
p-value(0.7642)(0.8452)(0.8833)
t-12;t-24 0.87010.69930.532
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
faillissement;crisis & 0.2155 & 0.2599 & 0.2142 \tabularnewline
p-value & (0.0982) & (0.0449) & (0.0459) \tabularnewline
faillissement;t-1 & 0.1541 & 0.1271 & 0.0873 \tabularnewline
p-value & (0.2396) & (0.3331) & (0.3259) \tabularnewline
faillissement;t-2 & -0.2568 & -0.2164 & -0.162 \tabularnewline
p-value & (0.0477) & (0.0968) & (0.0681) \tabularnewline
faillissement;t-3 & 0.1959 & 0.2702 & 0.191 \tabularnewline
p-value & (0.1337) & (0.0368) & (0.0316) \tabularnewline
faillissement;t-4 & 0.0204 & 0.1 & 0.0788 \tabularnewline
p-value & (0.8773) & (0.4469) & (0.3752) \tabularnewline
faillissement;t-12 & 0.8514 & 0.698 & 0.5306 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
faillissement;t-24
 & 0.7784 & 0.5761 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
crisis;t-1 & 0.2202 & 0.2647 & 0.2182 \tabularnewline
p-value & (0.0909) & (0.041) & (0.042) \tabularnewline
crisis;t-2 & 0.1887 & 0.2146 & 0.1769 \tabularnewline
p-value & (0.1487) & (0.0996) & (0.0992) \tabularnewline
crisis;t-3 & 0.1619 & 0.1742 & 0.1437 \tabularnewline
p-value & (0.2165) & (0.1831) & (0.1809) \tabularnewline
crisis;t-4 & 0.1224 & 0.1434 & 0.1183 \tabularnewline
p-value & (0.3517) & (0.2743) & (0.2707) \tabularnewline
crisis;t-12 & -0.044 & -0.0568 & -0.0468 \tabularnewline
p-value & (0.7386) & (0.6665) & (0.6627) \tabularnewline
crisis;t-24
 & -0.1196 & -0.0885 & -0.073 \tabularnewline
p-value & (0.3626) & (0.5011) & (0.4964) \tabularnewline
t-1;t-2 & 0.1422 & 0.1082 & 0.0725 \tabularnewline
p-value & (0.2784) & (0.4104) & (0.4142) \tabularnewline
t-1;t-3 & -0.2722 & -0.2456 & -0.1842 \tabularnewline
p-value & (0.0354) & (0.0585) & (0.0381) \tabularnewline
t-1;t-4 & 0.1747 & 0.2338 & 0.1683 \tabularnewline
p-value & (0.1818) & (0.0722) & (0.0581) \tabularnewline
t-1;t-12 & 0.0931 & 0.0022 & -0.0091 \tabularnewline
p-value & (0.4792) & (0.987) & (0.9187) \tabularnewline
t-1;t-24
 & 0.0079 & -0.1455 & -0.1156 \tabularnewline
p-value & (0.9521) & (0.2673) & (0.1931) \tabularnewline
t-2;t-3 & 0.122 & 0.0846 & 0.0572 \tabularnewline
p-value & (0.353) & (0.5204) & (0.5194) \tabularnewline
t-2;t-4 & -0.3298 & -0.2941 & -0.2103 \tabularnewline
p-value & (0.0101) & (0.0225) & (0.0179) \tabularnewline
t-2;t-12 & -0.3816 & -0.3958 & -0.2868 \tabularnewline
p-value & (0.0026) & (0.0017) & (0.0012) \tabularnewline
t-2;t-24
 & -0.4493 & -0.4721 & -0.3288 \tabularnewline
p-value & (3e-04) & (1e-04) & (2e-04) \tabularnewline
t-3;t-4 & 0.0951 & 0.0628 & 0.0442 \tabularnewline
p-value & (0.4697) & (0.6336) & (0.6188) \tabularnewline
t-3;t-12 & 0.148 & 0.1425 & 0.1117 \tabularnewline
p-value & (0.2592) & (0.2775) & (0.2088) \tabularnewline
t-3;t-24
 & 0.0451 & 0.1169 & 0.0766 \tabularnewline
p-value & (0.732) & (0.3738) & (0.3891) \tabularnewline
t-4;t-12 & 0.0133 & 0.0573 & 0.0437 \tabularnewline
p-value & (0.9195) & (0.6636) & (0.6233) \tabularnewline
t-4;t-24
 & -0.0395 & 0.0257 & 0.013 \tabularnewline
p-value & (0.7642) & (0.8452) & (0.8833) \tabularnewline
t-12;t-24
 & 0.8701 & 0.6993 & 0.532 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113797&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]faillissement;crisis[/C][C]0.2155[/C][C]0.2599[/C][C]0.2142[/C][/ROW]
[ROW][C]p-value[/C][C](0.0982)[/C][C](0.0449)[/C][C](0.0459)[/C][/ROW]
[ROW][C]faillissement;t-1[/C][C]0.1541[/C][C]0.1271[/C][C]0.0873[/C][/ROW]
[ROW][C]p-value[/C][C](0.2396)[/C][C](0.3331)[/C][C](0.3259)[/C][/ROW]
[ROW][C]faillissement;t-2[/C][C]-0.2568[/C][C]-0.2164[/C][C]-0.162[/C][/ROW]
[ROW][C]p-value[/C][C](0.0477)[/C][C](0.0968)[/C][C](0.0681)[/C][/ROW]
[ROW][C]faillissement;t-3[/C][C]0.1959[/C][C]0.2702[/C][C]0.191[/C][/ROW]
[ROW][C]p-value[/C][C](0.1337)[/C][C](0.0368)[/C][C](0.0316)[/C][/ROW]
[ROW][C]faillissement;t-4[/C][C]0.0204[/C][C]0.1[/C][C]0.0788[/C][/ROW]
[ROW][C]p-value[/C][C](0.8773)[/C][C](0.4469)[/C][C](0.3752)[/C][/ROW]
[ROW][C]faillissement;t-12[/C][C]0.8514[/C][C]0.698[/C][C]0.5306[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]faillissement;t-24
[/C][C]0.7784[/C][C]0.5761[/C][C]0.4206[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]crisis;t-1[/C][C]0.2202[/C][C]0.2647[/C][C]0.2182[/C][/ROW]
[ROW][C]p-value[/C][C](0.0909)[/C][C](0.041)[/C][C](0.042)[/C][/ROW]
[ROW][C]crisis;t-2[/C][C]0.1887[/C][C]0.2146[/C][C]0.1769[/C][/ROW]
[ROW][C]p-value[/C][C](0.1487)[/C][C](0.0996)[/C][C](0.0992)[/C][/ROW]
[ROW][C]crisis;t-3[/C][C]0.1619[/C][C]0.1742[/C][C]0.1437[/C][/ROW]
[ROW][C]p-value[/C][C](0.2165)[/C][C](0.1831)[/C][C](0.1809)[/C][/ROW]
[ROW][C]crisis;t-4[/C][C]0.1224[/C][C]0.1434[/C][C]0.1183[/C][/ROW]
[ROW][C]p-value[/C][C](0.3517)[/C][C](0.2743)[/C][C](0.2707)[/C][/ROW]
[ROW][C]crisis;t-12[/C][C]-0.044[/C][C]-0.0568[/C][C]-0.0468[/C][/ROW]
[ROW][C]p-value[/C][C](0.7386)[/C][C](0.6665)[/C][C](0.6627)[/C][/ROW]
[ROW][C]crisis;t-24
[/C][C]-0.1196[/C][C]-0.0885[/C][C]-0.073[/C][/ROW]
[ROW][C]p-value[/C][C](0.3626)[/C][C](0.5011)[/C][C](0.4964)[/C][/ROW]
[ROW][C]t-1;t-2[/C][C]0.1422[/C][C]0.1082[/C][C]0.0725[/C][/ROW]
[ROW][C]p-value[/C][C](0.2784)[/C][C](0.4104)[/C][C](0.4142)[/C][/ROW]
[ROW][C]t-1;t-3[/C][C]-0.2722[/C][C]-0.2456[/C][C]-0.1842[/C][/ROW]
[ROW][C]p-value[/C][C](0.0354)[/C][C](0.0585)[/C][C](0.0381)[/C][/ROW]
[ROW][C]t-1;t-4[/C][C]0.1747[/C][C]0.2338[/C][C]0.1683[/C][/ROW]
[ROW][C]p-value[/C][C](0.1818)[/C][C](0.0722)[/C][C](0.0581)[/C][/ROW]
[ROW][C]t-1;t-12[/C][C]0.0931[/C][C]0.0022[/C][C]-0.0091[/C][/ROW]
[ROW][C]p-value[/C][C](0.4792)[/C][C](0.987)[/C][C](0.9187)[/C][/ROW]
[ROW][C]t-1;t-24
[/C][C]0.0079[/C][C]-0.1455[/C][C]-0.1156[/C][/ROW]
[ROW][C]p-value[/C][C](0.9521)[/C][C](0.2673)[/C][C](0.1931)[/C][/ROW]
[ROW][C]t-2;t-3[/C][C]0.122[/C][C]0.0846[/C][C]0.0572[/C][/ROW]
[ROW][C]p-value[/C][C](0.353)[/C][C](0.5204)[/C][C](0.5194)[/C][/ROW]
[ROW][C]t-2;t-4[/C][C]-0.3298[/C][C]-0.2941[/C][C]-0.2103[/C][/ROW]
[ROW][C]p-value[/C][C](0.0101)[/C][C](0.0225)[/C][C](0.0179)[/C][/ROW]
[ROW][C]t-2;t-12[/C][C]-0.3816[/C][C]-0.3958[/C][C]-0.2868[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0.0017)[/C][C](0.0012)[/C][/ROW]
[ROW][C]t-2;t-24
[/C][C]-0.4493[/C][C]-0.4721[/C][C]-0.3288[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]t-3;t-4[/C][C]0.0951[/C][C]0.0628[/C][C]0.0442[/C][/ROW]
[ROW][C]p-value[/C][C](0.4697)[/C][C](0.6336)[/C][C](0.6188)[/C][/ROW]
[ROW][C]t-3;t-12[/C][C]0.148[/C][C]0.1425[/C][C]0.1117[/C][/ROW]
[ROW][C]p-value[/C][C](0.2592)[/C][C](0.2775)[/C][C](0.2088)[/C][/ROW]
[ROW][C]t-3;t-24
[/C][C]0.0451[/C][C]0.1169[/C][C]0.0766[/C][/ROW]
[ROW][C]p-value[/C][C](0.732)[/C][C](0.3738)[/C][C](0.3891)[/C][/ROW]
[ROW][C]t-4;t-12[/C][C]0.0133[/C][C]0.0573[/C][C]0.0437[/C][/ROW]
[ROW][C]p-value[/C][C](0.9195)[/C][C](0.6636)[/C][C](0.6233)[/C][/ROW]
[ROW][C]t-4;t-24
[/C][C]-0.0395[/C][C]0.0257[/C][C]0.013[/C][/ROW]
[ROW][C]p-value[/C][C](0.7642)[/C][C](0.8452)[/C][C](0.8833)[/C][/ROW]
[ROW][C]t-12;t-24
[/C][C]0.8701[/C][C]0.6993[/C][C]0.532[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113797&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113797&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
faillissement;crisis0.21550.25990.2142
p-value(0.0982)(0.0449)(0.0459)
faillissement;t-10.15410.12710.0873
p-value(0.2396)(0.3331)(0.3259)
faillissement;t-2-0.2568-0.2164-0.162
p-value(0.0477)(0.0968)(0.0681)
faillissement;t-30.19590.27020.191
p-value(0.1337)(0.0368)(0.0316)
faillissement;t-40.02040.10.0788
p-value(0.8773)(0.4469)(0.3752)
faillissement;t-120.85140.6980.5306
p-value(0)(0)(0)
faillissement;t-24 0.77840.57610.4206
p-value(0)(0)(0)
crisis;t-10.22020.26470.2182
p-value(0.0909)(0.041)(0.042)
crisis;t-20.18870.21460.1769
p-value(0.1487)(0.0996)(0.0992)
crisis;t-30.16190.17420.1437
p-value(0.2165)(0.1831)(0.1809)
crisis;t-40.12240.14340.1183
p-value(0.3517)(0.2743)(0.2707)
crisis;t-12-0.044-0.0568-0.0468
p-value(0.7386)(0.6665)(0.6627)
crisis;t-24 -0.1196-0.0885-0.073
p-value(0.3626)(0.5011)(0.4964)
t-1;t-20.14220.10820.0725
p-value(0.2784)(0.4104)(0.4142)
t-1;t-3-0.2722-0.2456-0.1842
p-value(0.0354)(0.0585)(0.0381)
t-1;t-40.17470.23380.1683
p-value(0.1818)(0.0722)(0.0581)
t-1;t-120.09310.0022-0.0091
p-value(0.4792)(0.987)(0.9187)
t-1;t-24 0.0079-0.1455-0.1156
p-value(0.9521)(0.2673)(0.1931)
t-2;t-30.1220.08460.0572
p-value(0.353)(0.5204)(0.5194)
t-2;t-4-0.3298-0.2941-0.2103
p-value(0.0101)(0.0225)(0.0179)
t-2;t-12-0.3816-0.3958-0.2868
p-value(0.0026)(0.0017)(0.0012)
t-2;t-24 -0.4493-0.4721-0.3288
p-value(3e-04)(1e-04)(2e-04)
t-3;t-40.09510.06280.0442
p-value(0.4697)(0.6336)(0.6188)
t-3;t-120.1480.14250.1117
p-value(0.2592)(0.2775)(0.2088)
t-3;t-24 0.04510.11690.0766
p-value(0.732)(0.3738)(0.3891)
t-4;t-120.01330.05730.0437
p-value(0.9195)(0.6636)(0.6233)
t-4;t-24 -0.03950.02570.013
p-value(0.7642)(0.8452)(0.8833)
t-12;t-24 0.87010.69930.532
p-value(0)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = kendall ;
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=par1)
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')