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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Mon, 20 Dec 2010 17:41:27 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t1292867255tcm2fn46lbrl8rd.htm/, Retrieved Fri, 03 May 2024 18:05:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113033, Retrieved Fri, 03 May 2024 18:05:17 +0000

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-       [Kendall tau Correlation Matrix] [] [2010-12-20 17:41:27] [c8b0d20ebafa6d61ca10522fa626ae82] [Current]

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6,3	2	4,5	1,00	6,60	42	3	1	3
2,1	1,8	39	2547,00	4603,00	624	3	5	4
9,1	0,7	27	10,55	179,50	180	4	4	4
15,8	3,9	19	0,02	0,30	35	1	1	1
5,2	1	30,4	160,00	169,00	392	4	5	4
10,9	3,6	28	3,30	25,60	63	1	2	1
8,3	1,4	50	52,16	440,00	230	1	1	1
11	1,5	7	0,43	6,40	112	5	4	4
3,2	0,7	30	465,00	423,00	271	5	5	5
6,3	2,1	3,5	0,08	1,20	42	1	1	1
8,6	0	50	3,00	25,00	28	2	2	2
6,6	4,1	6	0,79	3,50	42	2	2	2
9,5	1,2	10,4	0,20	5,00	120	2	2	2
3,3	0,5	20	27,66	115,00	148	5	5	5
11	3,4	3,9	0,12	1,00	16	3	1	2
4,7	1,5	41	85,00	325,00	310	1	3	1
10,4	3,4	9	0,10	4,00	28	5	1	3
7,4	0,8	7,6	1,04	5,50	68	5	3	4
2,1	0,8	46	521,00	655,00	336	5	5	5
7,7	1,4	2,6	0,01	0,14	21,5	5	2	4
17,9	2	24	0,01	0,25	50	1	1	1
6,1	1,9	100	62,00	1320,00	267	1	1	1
11,9	1,3	3,2	0,02	0,40	19	4	1	3
10,8	2	2	0,05	0,33	30	4	1	3
13,8	5,6	5	1,70	6,30	12	2	1	1
14,3	3,1	6,5	3,50	10,80	120	2	1	1
15,2	1,8	12	0,48	15,50	140	2	2	2
10	0,9	20,2	10,00	115,00	170	4	4	4
11,9	1,8	13	1,62	11,40	17	2	1	2
6,5	1,9	27	192,00	180,00	115	4	4	4
7,5	0,9	18	2,50	12,10	31	5	5	5
10,6	2,6	4,7	0,28	1,90	21	3	1	3
7,4	2,4	9,8	4,24	50,40	52	1	1	1
8,4	1,2	29	6,80	179,00	164	2	3	2
5,7	0,9	7	0,75	12,30	225	2	2	2
4,9	0,5	6	3,60	21,00	225	3	2	3
3,2	0,6	20	55,50	175,00	151	5	5	5
11	2,3	4,5	0,90	2,60	60	2	1	2
4,9	0,5	7,5	2,00	12,30	200	3	1	3
13,2	2,6	2,3	0,10	2,50	46	3	2	2
9,7	0,6	24	4,19	58,00	210	4	3	4
12,8	6,6	3	3,50	3,90	14	2	1	1

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=113033&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=113033&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113033&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

Correlations for all pairs of data series (method=pearson)
	1	2	3	4	5	6	7	8	9
1	1	0.518	-0.331	-0.394	-0.387	-0.605	-0.353	-0.58	-0.535
2	0.518	1	-0.284	-0.075	-0.074	-0.408	-0.398	-0.504	-0.572
3	-0.331	-0.284	1	0.267	0.442	0.542	-0.183	0.271	-0.021
4	-0.394	-0.075	0.267	1	0.956	0.714	0.096	0.406	0.259
5	-0.387	-0.074	0.442	0.956	1	0.735	-0.015	0.323	0.151
6	-0.605	-0.408	0.542	0.714	0.735	1	0.088	0.571	0.304
7	-0.353	-0.398	-0.183	0.096	-0.015	0.088	1	0.626	0.927
8	-0.58	-0.504	0.271	0.406	0.323	0.571	0.626	1	0.79
9	-0.535	-0.572	-0.021	0.259	0.151	0.304	0.927	0.79	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 \tabularnewline
1 & 1 & 0.518 & -0.331 & -0.394 & -0.387 & -0.605 & -0.353 & -0.58 & -0.535 \tabularnewline
2 & 0.518 & 1 & -0.284 & -0.075 & -0.074 & -0.408 & -0.398 & -0.504 & -0.572 \tabularnewline
3 & -0.331 & -0.284 & 1 & 0.267 & 0.442 & 0.542 & -0.183 & 0.271 & -0.021 \tabularnewline
4 & -0.394 & -0.075 & 0.267 & 1 & 0.956 & 0.714 & 0.096 & 0.406 & 0.259 \tabularnewline
5 & -0.387 & -0.074 & 0.442 & 0.956 & 1 & 0.735 & -0.015 & 0.323 & 0.151 \tabularnewline
6 & -0.605 & -0.408 & 0.542 & 0.714 & 0.735 & 1 & 0.088 & 0.571 & 0.304 \tabularnewline
7 & -0.353 & -0.398 & -0.183 & 0.096 & -0.015 & 0.088 & 1 & 0.626 & 0.927 \tabularnewline
8 & -0.58 & -0.504 & 0.271 & 0.406 & 0.323 & 0.571 & 0.626 & 1 & 0.79 \tabularnewline
9 & -0.535 & -0.572 & -0.021 & 0.259 & 0.151 & 0.304 & 0.927 & 0.79 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113033&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][/ROW]
[ROW][C]1[/C][C]1[/C][C]0.518[/C][C]-0.331[/C][C]-0.394[/C][C]-0.387[/C][C]-0.605[/C][C]-0.353[/C][C]-0.58[/C][C]-0.535[/C][/ROW]
[ROW][C]2[/C][C]0.518[/C][C]1[/C][C]-0.284[/C][C]-0.075[/C][C]-0.074[/C][C]-0.408[/C][C]-0.398[/C][C]-0.504[/C][C]-0.572[/C][/ROW]
[ROW][C]3[/C][C]-0.331[/C][C]-0.284[/C][C]1[/C][C]0.267[/C][C]0.442[/C][C]0.542[/C][C]-0.183[/C][C]0.271[/C][C]-0.021[/C][/ROW]
[ROW][C]4[/C][C]-0.394[/C][C]-0.075[/C][C]0.267[/C][C]1[/C][C]0.956[/C][C]0.714[/C][C]0.096[/C][C]0.406[/C][C]0.259[/C][/ROW]
[ROW][C]5[/C][C]-0.387[/C][C]-0.074[/C][C]0.442[/C][C]0.956[/C][C]1[/C][C]0.735[/C][C]-0.015[/C][C]0.323[/C][C]0.151[/C][/ROW]
[ROW][C]6[/C][C]-0.605[/C][C]-0.408[/C][C]0.542[/C][C]0.714[/C][C]0.735[/C][C]1[/C][C]0.088[/C][C]0.571[/C][C]0.304[/C][/ROW]
[ROW][C]7[/C][C]-0.353[/C][C]-0.398[/C][C]-0.183[/C][C]0.096[/C][C]-0.015[/C][C]0.088[/C][C]1[/C][C]0.626[/C][C]0.927[/C][/ROW]
[ROW][C]8[/C][C]-0.58[/C][C]-0.504[/C][C]0.271[/C][C]0.406[/C][C]0.323[/C][C]0.571[/C][C]0.626[/C][C]1[/C][C]0.79[/C][/ROW]
[ROW][C]9[/C][C]-0.535[/C][C]-0.572[/C][C]-0.021[/C][C]0.259[/C][C]0.151[/C][C]0.304[/C][C]0.927[/C][C]0.79[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113033&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113033&T=1

As an alternative you can also use a QR Code:

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

Correlations for all pairs of data series (method=pearson)
	1	2	3	4	5	6	7	8	9
1	1	0.518	-0.331	-0.394	-0.387	-0.605	-0.353	-0.58	-0.535
2	0.518	1	-0.284	-0.075	-0.074	-0.408	-0.398	-0.504	-0.572
3	-0.331	-0.284	1	0.267	0.442	0.542	-0.183	0.271	-0.021
4	-0.394	-0.075	0.267	1	0.956	0.714	0.096	0.406	0.259
5	-0.387	-0.074	0.442	0.956	1	0.735	-0.015	0.323	0.151
6	-0.605	-0.408	0.542	0.714	0.735	1	0.088	0.571	0.304
7	-0.353	-0.398	-0.183	0.096	-0.015	0.088	1	0.626	0.927
8	-0.58	-0.504	0.271	0.406	0.323	0.571	0.626	1	0.79
9	-0.535	-0.572	-0.021	0.259	0.151	0.304	0.927	0.79	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
1;2	0.5182	0.5641	0.3924
p-value	(4e-04)	(1e-04)	(3e-04)
1;3	-0.331	-0.3944	-0.2708
p-value	(0.0322)	(0.0098)	(0.0122)
1;4	-0.3936	-0.6217	-0.4494
p-value	(0.0099)	(0)	(0)
1;5	-0.3868	-0.6218	-0.4559
p-value	(0.0114)	(0)	(0)
1;6	-0.6047	-0.6298	-0.4628
p-value	(0)	(0)	(0)
1;7	-0.3527	-0.2896	-0.224
p-value	(0.022)	(0.0629)	(0.0545)
1;8	-0.5803	-0.5428	-0.4242
p-value	(1e-04)	(2e-04)	(3e-04)
1;9	-0.5346	-0.4751	-0.3771
p-value	(3e-04)	(0.0015)	(0.0012)
2;3	-0.284	-0.4187	-0.2657
p-value	(0.0683)	(0.0058)	(0.0146)
2;4	-0.0749	-0.4047	-0.2475
p-value	(0.6374)	(0.0079)	(0.0226)
2;5	-0.0743	-0.4917	-0.2967
p-value	(0.6401)	(9e-04)	(0.0062)
2;6	-0.4082	-0.5528	-0.387
p-value	(0.0073)	(1e-04)	(4e-04)
2;7	-0.398	-0.4703	-0.3417
p-value	(0.0091)	(0.0017)	(0.0036)
2;8	-0.5036	-0.6061	-0.4586
p-value	(7e-04)	(0)	(1e-04)
2;9	-0.5719	-0.6303	-0.4859
p-value	(1e-04)	(0)	(0)
3;4	0.2673	0.7154	0.533
p-value	(0.087)	(0)	(0)
3;5	0.4418	0.8108	0.6492
p-value	(0.0034)	(0)	(0)
3;6	0.5418	0.653	0.4822
p-value	(2e-04)	(0)	(0)
3;7	-0.1827	-0.0984	-0.0892
p-value	(0.2468)	(0.5354)	(0.4432)
3;8	0.2707	0.4949	0.3763
p-value	(0.0829)	(9e-04)	(0.0015)
3;9	-0.0207	0.1142	0.087
p-value	(0.8963)	(0.4716)	(0.4557)
4;5	0.9558	0.9387	0.8124
p-value	(0)	(0)	(0)
4;6	0.7142	0.7023	0.5152
p-value	(0)	(0)	(0)
4;7	0.0959	0.1123	0.0788
p-value	(0.5458)	(0.479)	(0.4979)
4;8	0.4056	0.5769	0.4635
p-value	(0.0077)	(1e-04)	(1e-04)
4;9	0.2593	0.2871	0.2036
p-value	(0.0972)	(0.0652)	(0.0805)
5;6	0.7346	0.7848	0.5799
p-value	(0)	(0)	(0)
5;7	-0.0154	0.0666	0.0438
p-value	(0.923)	(0.6751)	(0.7056)
5;8	0.3232	0.5855	0.4765
p-value	(0.0368)	(0)	(1e-04)
5;9	0.1509	0.2671	0.1995
p-value	(0.34)	(0.0873)	(0.0865)
6;7	0.0883	0.0579	0.0349
p-value	(0.5782)	(0.7156)	(0.7641)
6;8	0.5714	0.5693	0.4532
p-value	(1e-04)	(1e-04)	(1e-04)
6;9	0.3037	0.268	0.1947
p-value	(0.0505)	(0.0862)	(0.0949)
7;8	0.6257	0.5701	0.4755
p-value	(0)	(1e-04)	(2e-04)
7;9	0.9273	0.9304	0.8709
p-value	(0)	(0)	(0)
8;9	0.7898	0.7239	0.6292
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
1;2 & 0.5182 & 0.5641 & 0.3924 \tabularnewline
p-value & (4e-04) & (1e-04) & (3e-04) \tabularnewline
1;3 & -0.331 & -0.3944 & -0.2708 \tabularnewline
p-value & (0.0322) & (0.0098) & (0.0122) \tabularnewline
1;4 & -0.3936 & -0.6217 & -0.4494 \tabularnewline
p-value & (0.0099) & (0) & (0) \tabularnewline
1;5 & -0.3868 & -0.6218 & -0.4559 \tabularnewline
p-value & (0.0114) & (0) & (0) \tabularnewline
1;6 & -0.6047 & -0.6298 & -0.4628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;7 & -0.3527 & -0.2896 & -0.224 \tabularnewline
p-value & (0.022) & (0.0629) & (0.0545) \tabularnewline
1;8 & -0.5803 & -0.5428 & -0.4242 \tabularnewline
p-value & (1e-04) & (2e-04) & (3e-04) \tabularnewline
1;9 & -0.5346 & -0.4751 & -0.3771 \tabularnewline
p-value & (3e-04) & (0.0015) & (0.0012) \tabularnewline
2;3 & -0.284 & -0.4187 & -0.2657 \tabularnewline
p-value & (0.0683) & (0.0058) & (0.0146) \tabularnewline
2;4 & -0.0749 & -0.4047 & -0.2475 \tabularnewline
p-value & (0.6374) & (0.0079) & (0.0226) \tabularnewline
2;5 & -0.0743 & -0.4917 & -0.2967 \tabularnewline
p-value & (0.6401) & (9e-04) & (0.0062) \tabularnewline
2;6 & -0.4082 & -0.5528 & -0.387 \tabularnewline
p-value & (0.0073) & (1e-04) & (4e-04) \tabularnewline
2;7 & -0.398 & -0.4703 & -0.3417 \tabularnewline
p-value & (0.0091) & (0.0017) & (0.0036) \tabularnewline
2;8 & -0.5036 & -0.6061 & -0.4586 \tabularnewline
p-value & (7e-04) & (0) & (1e-04) \tabularnewline
2;9 & -0.5719 & -0.6303 & -0.4859 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
3;4 & 0.2673 & 0.7154 & 0.533 \tabularnewline
p-value & (0.087) & (0) & (0) \tabularnewline
3;5 & 0.4418 & 0.8108 & 0.6492 \tabularnewline
p-value & (0.0034) & (0) & (0) \tabularnewline
3;6 & 0.5418 & 0.653 & 0.4822 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
3;7 & -0.1827 & -0.0984 & -0.0892 \tabularnewline
p-value & (0.2468) & (0.5354) & (0.4432) \tabularnewline
3;8 & 0.2707 & 0.4949 & 0.3763 \tabularnewline
p-value & (0.0829) & (9e-04) & (0.0015) \tabularnewline
3;9 & -0.0207 & 0.1142 & 0.087 \tabularnewline
p-value & (0.8963) & (0.4716) & (0.4557) \tabularnewline
4;5 & 0.9558 & 0.9387 & 0.8124 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;6 & 0.7142 & 0.7023 & 0.5152 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;7 & 0.0959 & 0.1123 & 0.0788 \tabularnewline
p-value & (0.5458) & (0.479) & (0.4979) \tabularnewline
4;8 & 0.4056 & 0.5769 & 0.4635 \tabularnewline
p-value & (0.0077) & (1e-04) & (1e-04) \tabularnewline
4;9 & 0.2593 & 0.2871 & 0.2036 \tabularnewline
p-value & (0.0972) & (0.0652) & (0.0805) \tabularnewline
5;6 & 0.7346 & 0.7848 & 0.5799 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;7 & -0.0154 & 0.0666 & 0.0438 \tabularnewline
p-value & (0.923) & (0.6751) & (0.7056) \tabularnewline
5;8 & 0.3232 & 0.5855 & 0.4765 \tabularnewline
p-value & (0.0368) & (0) & (1e-04) \tabularnewline
5;9 & 0.1509 & 0.2671 & 0.1995 \tabularnewline
p-value & (0.34) & (0.0873) & (0.0865) \tabularnewline
6;7 & 0.0883 & 0.0579 & 0.0349 \tabularnewline
p-value & (0.5782) & (0.7156) & (0.7641) \tabularnewline
6;8 & 0.5714 & 0.5693 & 0.4532 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
6;9 & 0.3037 & 0.268 & 0.1947 \tabularnewline
p-value & (0.0505) & (0.0862) & (0.0949) \tabularnewline
7;8 & 0.6257 & 0.5701 & 0.4755 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
7;9 & 0.9273 & 0.9304 & 0.8709 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;9 & 0.7898 & 0.7239 & 0.6292 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113033&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]1;2[/C][C]0.5182[/C][C]0.5641[/C][C]0.3924[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](1e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]1;3[/C][C]-0.331[/C][C]-0.3944[/C][C]-0.2708[/C][/ROW]
[ROW][C]p-value[/C][C](0.0322)[/C][C](0.0098)[/C][C](0.0122)[/C][/ROW]
[ROW][C]1;4[/C][C]-0.3936[/C][C]-0.6217[/C][C]-0.4494[/C][/ROW]
[ROW][C]p-value[/C][C](0.0099)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;5[/C][C]-0.3868[/C][C]-0.6218[/C][C]-0.4559[/C][/ROW]
[ROW][C]p-value[/C][C](0.0114)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;6[/C][C]-0.6047[/C][C]-0.6298[/C][C]-0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;7[/C][C]-0.3527[/C][C]-0.2896[/C][C]-0.224[/C][/ROW]
[ROW][C]p-value[/C][C](0.022)[/C][C](0.0629)[/C][C](0.0545)[/C][/ROW]
[ROW][C]1;8[/C][C]-0.5803[/C][C]-0.5428[/C][C]-0.4242[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]1;9[/C][C]-0.5346[/C][C]-0.4751[/C][C]-0.3771[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0015)[/C][C](0.0012)[/C][/ROW]
[ROW][C]2;3[/C][C]-0.284[/C][C]-0.4187[/C][C]-0.2657[/C][/ROW]
[ROW][C]p-value[/C][C](0.0683)[/C][C](0.0058)[/C][C](0.0146)[/C][/ROW]
[ROW][C]2;4[/C][C]-0.0749[/C][C]-0.4047[/C][C]-0.2475[/C][/ROW]
[ROW][C]p-value[/C][C](0.6374)[/C][C](0.0079)[/C][C](0.0226)[/C][/ROW]
[ROW][C]2;5[/C][C]-0.0743[/C][C]-0.4917[/C][C]-0.2967[/C][/ROW]
[ROW][C]p-value[/C][C](0.6401)[/C][C](9e-04)[/C][C](0.0062)[/C][/ROW]
[ROW][C]2;6[/C][C]-0.4082[/C][C]-0.5528[/C][C]-0.387[/C][/ROW]
[ROW][C]p-value[/C][C](0.0073)[/C][C](1e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]2;7[/C][C]-0.398[/C][C]-0.4703[/C][C]-0.3417[/C][/ROW]
[ROW][C]p-value[/C][C](0.0091)[/C][C](0.0017)[/C][C](0.0036)[/C][/ROW]
[ROW][C]2;8[/C][C]-0.5036[/C][C]-0.6061[/C][C]-0.4586[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]2;9[/C][C]-0.5719[/C][C]-0.6303[/C][C]-0.4859[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;4[/C][C]0.2673[/C][C]0.7154[/C][C]0.533[/C][/ROW]
[ROW][C]p-value[/C][C](0.087)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;5[/C][C]0.4418[/C][C]0.8108[/C][C]0.6492[/C][/ROW]
[ROW][C]p-value[/C][C](0.0034)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;6[/C][C]0.5418[/C][C]0.653[/C][C]0.4822[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;7[/C][C]-0.1827[/C][C]-0.0984[/C][C]-0.0892[/C][/ROW]
[ROW][C]p-value[/C][C](0.2468)[/C][C](0.5354)[/C][C](0.4432)[/C][/ROW]
[ROW][C]3;8[/C][C]0.2707[/C][C]0.4949[/C][C]0.3763[/C][/ROW]
[ROW][C]p-value[/C][C](0.0829)[/C][C](9e-04)[/C][C](0.0015)[/C][/ROW]
[ROW][C]3;9[/C][C]-0.0207[/C][C]0.1142[/C][C]0.087[/C][/ROW]
[ROW][C]p-value[/C][C](0.8963)[/C][C](0.4716)[/C][C](0.4557)[/C][/ROW]
[ROW][C]4;5[/C][C]0.9558[/C][C]0.9387[/C][C]0.8124[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;6[/C][C]0.7142[/C][C]0.7023[/C][C]0.5152[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;7[/C][C]0.0959[/C][C]0.1123[/C][C]0.0788[/C][/ROW]
[ROW][C]p-value[/C][C](0.5458)[/C][C](0.479)[/C][C](0.4979)[/C][/ROW]
[ROW][C]4;8[/C][C]0.4056[/C][C]0.5769[/C][C]0.4635[/C][/ROW]
[ROW][C]p-value[/C][C](0.0077)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]4;9[/C][C]0.2593[/C][C]0.2871[/C][C]0.2036[/C][/ROW]
[ROW][C]p-value[/C][C](0.0972)[/C][C](0.0652)[/C][C](0.0805)[/C][/ROW]
[ROW][C]5;6[/C][C]0.7346[/C][C]0.7848[/C][C]0.5799[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;7[/C][C]-0.0154[/C][C]0.0666[/C][C]0.0438[/C][/ROW]
[ROW][C]p-value[/C][C](0.923)[/C][C](0.6751)[/C][C](0.7056)[/C][/ROW]
[ROW][C]5;8[/C][C]0.3232[/C][C]0.5855[/C][C]0.4765[/C][/ROW]
[ROW][C]p-value[/C][C](0.0368)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]5;9[/C][C]0.1509[/C][C]0.2671[/C][C]0.1995[/C][/ROW]
[ROW][C]p-value[/C][C](0.34)[/C][C](0.0873)[/C][C](0.0865)[/C][/ROW]
[ROW][C]6;7[/C][C]0.0883[/C][C]0.0579[/C][C]0.0349[/C][/ROW]
[ROW][C]p-value[/C][C](0.5782)[/C][C](0.7156)[/C][C](0.7641)[/C][/ROW]
[ROW][C]6;8[/C][C]0.5714[/C][C]0.5693[/C][C]0.4532[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]6;9[/C][C]0.3037[/C][C]0.268[/C][C]0.1947[/C][/ROW]
[ROW][C]p-value[/C][C](0.0505)[/C][C](0.0862)[/C][C](0.0949)[/C][/ROW]
[ROW][C]7;8[/C][C]0.6257[/C][C]0.5701[/C][C]0.4755[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]7;9[/C][C]0.9273[/C][C]0.9304[/C][C]0.8709[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;9[/C][C]0.7898[/C][C]0.7239[/C][C]0.6292[/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=113033&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113033&T=2

As an alternative you can also use a QR Code:

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

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
1;2	0.5182	0.5641	0.3924
p-value	(4e-04)	(1e-04)	(3e-04)
1;3	-0.331	-0.3944	-0.2708
p-value	(0.0322)	(0.0098)	(0.0122)
1;4	-0.3936	-0.6217	-0.4494
p-value	(0.0099)	(0)	(0)
1;5	-0.3868	-0.6218	-0.4559
p-value	(0.0114)	(0)	(0)
1;6	-0.6047	-0.6298	-0.4628
p-value	(0)	(0)	(0)
1;7	-0.3527	-0.2896	-0.224
p-value	(0.022)	(0.0629)	(0.0545)
1;8	-0.5803	-0.5428	-0.4242
p-value	(1e-04)	(2e-04)	(3e-04)
1;9	-0.5346	-0.4751	-0.3771
p-value	(3e-04)	(0.0015)	(0.0012)
2;3	-0.284	-0.4187	-0.2657
p-value	(0.0683)	(0.0058)	(0.0146)
2;4	-0.0749	-0.4047	-0.2475
p-value	(0.6374)	(0.0079)	(0.0226)
2;5	-0.0743	-0.4917	-0.2967
p-value	(0.6401)	(9e-04)	(0.0062)
2;6	-0.4082	-0.5528	-0.387
p-value	(0.0073)	(1e-04)	(4e-04)
2;7	-0.398	-0.4703	-0.3417
p-value	(0.0091)	(0.0017)	(0.0036)
2;8	-0.5036	-0.6061	-0.4586
p-value	(7e-04)	(0)	(1e-04)
2;9	-0.5719	-0.6303	-0.4859
p-value	(1e-04)	(0)	(0)
3;4	0.2673	0.7154	0.533
p-value	(0.087)	(0)	(0)
3;5	0.4418	0.8108	0.6492
p-value	(0.0034)	(0)	(0)
3;6	0.5418	0.653	0.4822
p-value	(2e-04)	(0)	(0)
3;7	-0.1827	-0.0984	-0.0892
p-value	(0.2468)	(0.5354)	(0.4432)
3;8	0.2707	0.4949	0.3763
p-value	(0.0829)	(9e-04)	(0.0015)
3;9	-0.0207	0.1142	0.087
p-value	(0.8963)	(0.4716)	(0.4557)
4;5	0.9558	0.9387	0.8124
p-value	(0)	(0)	(0)
4;6	0.7142	0.7023	0.5152
p-value	(0)	(0)	(0)
4;7	0.0959	0.1123	0.0788
p-value	(0.5458)	(0.479)	(0.4979)
4;8	0.4056	0.5769	0.4635
p-value	(0.0077)	(1e-04)	(1e-04)
4;9	0.2593	0.2871	0.2036
p-value	(0.0972)	(0.0652)	(0.0805)
5;6	0.7346	0.7848	0.5799
p-value	(0)	(0)	(0)
5;7	-0.0154	0.0666	0.0438
p-value	(0.923)	(0.6751)	(0.7056)
5;8	0.3232	0.5855	0.4765
p-value	(0.0368)	(0)	(1e-04)
5;9	0.1509	0.2671	0.1995
p-value	(0.34)	(0.0873)	(0.0865)
6;7	0.0883	0.0579	0.0349
p-value	(0.5782)	(0.7156)	(0.7641)
6;8	0.5714	0.5693	0.4532
p-value	(1e-04)	(1e-04)	(1e-04)
6;9	0.3037	0.268	0.1947
p-value	(0.0505)	(0.0862)	(0.0949)
7;8	0.6257	0.5701	0.4755
p-value	(0)	(1e-04)	(2e-04)
7;9	0.9273	0.9304	0.8709
p-value	(0)	(0)	(0)
8;9	0.7898	0.7239	0.6292
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

par1 = pearson ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code