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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Mon, 20 Dec 2010 16:22:10 +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/t12928623500uocs9mjxxmc1og.htm/, Retrieved Fri, 03 May 2024 15:09:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113013, Retrieved Fri, 03 May 2024 15:09:28 +0000

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-       [Kendall tau Correlation Matrix] [] [2010-12-20 16:22:10] [c8b0d20ebafa6d61ca10522fa626ae82] [Current]

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6654,000	5712,000	NA	NA	3,3	38,6	645	3	5	3
1,000	6,600	6,3	2	8,3	4,5	42	3	1	3
3,385	44,500	NA	NA	12,5	14	60	1	1	1
0,920	5,700	NA	NA	16,5	NA	25	5	2	3
2547,000	4603,000	2,1	1,8	3,9	39	624	3	5	4
10,550	179,500	9,1	0,7	9,8	27	180	4	4	4
0,023	0,300	15,8	3,9	19,7	19	35	1	1	1
160,000	169,000	5,2	1	6,2	30,4	392	4	5	4
3,300	25,600	10,9	3,6	14,5	28	63	1	2	1
52,160	440,000	8,3	1,4	9,7	50	230	1	1	1
0,425	6,400	11	1,5	12,5	7	112	5	4	4
465,000	423,000	3,2	0,7	3,9	30	271	5	5	5
0,550	2,400	7,6	2,7	10,3	NA	NA	2	1	2
187,100	419,000	NA	NA	3,1	40	365	5	5	5
0,075	1,200	6,3	2,1	8,4	3,5	42	1	1	1
3,000	25,000	8,6	0	8,6	50	28	2	2	2
0,785	3,500	6,6	4,1	10,7	6	42	2	2	2
0,200	5,000	9,5	1,2	10,7	10,4	120	2	2	2
1,410	17,500	4,8	1,3	6,1	34	NA	1	2	1
60,000	91,000	12	6,1	18,1	7	NA	1	1	1
529,000	680,000	NA	0,3	NA	28	400	5	5	5
27,660	115,000	3,3	0,5	3,8	20	148	5	5	5
0,120	1,000	11	3,4	14,4	3,9	16	3	1	2
207,000	406,000	NA	NA	12	39,3	252	1	4	1
85,000	325,000	4,7	1,5	6,2	41	310	1	3	1
36,330	119,500	NA	NA	13	16,2	63	1	1	1
0,101	4,000	10,4	3,4	13,8	9	28	5	1	3
1,040	5,500	7,4	0,8	8,2	7,6	68	5	3	4
521,000	655,000	2,1	0,8	2,9	46	336	5	5	5
100,000	167,000	NA	NA	10,8	22,4	100	1	1	1
35,000	56,000	NA	NA	NA	16,3	33	3	5	4
0,005	0,140	7,7	1,4	9,1	2,6	21,5	5	2	4
0,010	0,250	17,9	2	19,9	24	50	1	1	1
62,000	1320,000	6,1	1,9	8	100	267	1	1	1
0,122	3,000	8,2	2,4	10,6	NA	30	2	1	1
1,350	8,100	8,4	2,8	11,2	NA	45	3	1	3
0,023	0,400	11,9	1,3	13,2	3,2	19	4	1	3
0,048	0,330	10,8	2	12,8	2	30	4	1	3
1,700	6,300	13,8	5,6	19,4	5	12	2	1	1
3,500	10,800	14,3	3,1	17,4	6,5	120	2	1	1
250,000	490,000	NA	1	NA	12,6	440	5	5	5
0,480	15,500	15,2	1,8	17	12	140	2	2	2
10,000	115,000	10	0,9	10,9	20,2	170	4	4	4
1,620	11,400	11,9	1,8	13,7	13	17	2	1	2
192,000	180,000	6,5	1,9	8,4	27	115	4	4	4
2,500	12,100	7,5	0,9	8,4	18	31	5	5	5
4,288	39,200	NA	NA	12,5	13,7	63	2	2	2
0,280	1,900	10,6	2,6	13,2	4,7	21	3	1	3
4,235	50,400	7,4	2,4	9,8	9,8	52	1	1	1
6,800	179,000	8,4	1,2	9,6	29	164	2	3	2
0,750	12,300	5,7	0,9	6,6	7	225	2	2	2
3,600	21,000	4,9	0,5	5,4	6	225	3	2	3
14,830	98,200	NA	NA	2,6	17	150	5	5	5
55,500	175,000	3,2	0,6	3,7	20	151	5	5	5
1,400	12,500	NA	NA	11	12,7	90	2	2	2
0,060	1,000	8,1	2,2	10,3	3,5	NA	3	1	2
0,900	2,600	11	2,3	13,3	4,5	60	2	1	2
2,000	12,300	4,9	0,5	5,4	7,5	200	3	1	3
0,104	2,500	13,2	2,6	15,8	2,3	46	3	2	2
4,190	58,000	9,7	0,6	10,3	24	210	4	3	4
3,500	3,900	12,8	6,6	19,4	3	14	2	1	1
4,050	17,000	NA	NA	NA	13	38	3	1	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113013&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113013&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113013&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Correlations for all pairs of data series (method=pearson)
	1	2	3	4	5	6	7	8	9	10
1	1	0.934	-0.376	-0.109	-0.307	0.243	0.651	0.059	0.338	0.134
2	0.934	1	-0.369	-0.104	-0.358	0.4	0.748	0.033	0.368	0.145
3	-0.376	-0.369	1	0.514	0.963	-0.346	-0.593	-0.318	-0.544	-0.484
4	-0.109	-0.104	0.514	1	0.727	-0.304	-0.45	-0.447	-0.537	-0.579
5	-0.307	-0.358	0.963	0.727	1	-0.39	-0.63	-0.396	-0.643	-0.588
6	0.243	0.4	-0.346	-0.304	-0.39	1	0.526	-0.127	0.317	0.019
7	0.651	0.748	-0.593	-0.45	-0.63	0.526	1	0.199	0.637	0.377
8	0.059	0.033	-0.318	-0.447	-0.396	-0.127	0.199	1	0.618	0.916
9	0.338	0.368	-0.544	-0.537	-0.643	0.317	0.637	0.618	1	0.787
10	0.134	0.145	-0.484	-0.579	-0.588	0.019	0.377	0.916	0.787	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 \tabularnewline
1 & 1 & 0.934 & -0.376 & -0.109 & -0.307 & 0.243 & 0.651 & 0.059 & 0.338 & 0.134 \tabularnewline
2 & 0.934 & 1 & -0.369 & -0.104 & -0.358 & 0.4 & 0.748 & 0.033 & 0.368 & 0.145 \tabularnewline
3 & -0.376 & -0.369 & 1 & 0.514 & 0.963 & -0.346 & -0.593 & -0.318 & -0.544 & -0.484 \tabularnewline
4 & -0.109 & -0.104 & 0.514 & 1 & 0.727 & -0.304 & -0.45 & -0.447 & -0.537 & -0.579 \tabularnewline
5 & -0.307 & -0.358 & 0.963 & 0.727 & 1 & -0.39 & -0.63 & -0.396 & -0.643 & -0.588 \tabularnewline
6 & 0.243 & 0.4 & -0.346 & -0.304 & -0.39 & 1 & 0.526 & -0.127 & 0.317 & 0.019 \tabularnewline
7 & 0.651 & 0.748 & -0.593 & -0.45 & -0.63 & 0.526 & 1 & 0.199 & 0.637 & 0.377 \tabularnewline
8 & 0.059 & 0.033 & -0.318 & -0.447 & -0.396 & -0.127 & 0.199 & 1 & 0.618 & 0.916 \tabularnewline
9 & 0.338 & 0.368 & -0.544 & -0.537 & -0.643 & 0.317 & 0.637 & 0.618 & 1 & 0.787 \tabularnewline
10 & 0.134 & 0.145 & -0.484 & -0.579 & -0.588 & 0.019 & 0.377 & 0.916 & 0.787 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113013&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][C]10[/C][/ROW]
[ROW][C]1[/C][C]1[/C][C]0.934[/C][C]-0.376[/C][C]-0.109[/C][C]-0.307[/C][C]0.243[/C][C]0.651[/C][C]0.059[/C][C]0.338[/C][C]0.134[/C][/ROW]
[ROW][C]2[/C][C]0.934[/C][C]1[/C][C]-0.369[/C][C]-0.104[/C][C]-0.358[/C][C]0.4[/C][C]0.748[/C][C]0.033[/C][C]0.368[/C][C]0.145[/C][/ROW]
[ROW][C]3[/C][C]-0.376[/C][C]-0.369[/C][C]1[/C][C]0.514[/C][C]0.963[/C][C]-0.346[/C][C]-0.593[/C][C]-0.318[/C][C]-0.544[/C][C]-0.484[/C][/ROW]
[ROW][C]4[/C][C]-0.109[/C][C]-0.104[/C][C]0.514[/C][C]1[/C][C]0.727[/C][C]-0.304[/C][C]-0.45[/C][C]-0.447[/C][C]-0.537[/C][C]-0.579[/C][/ROW]
[ROW][C]5[/C][C]-0.307[/C][C]-0.358[/C][C]0.963[/C][C]0.727[/C][C]1[/C][C]-0.39[/C][C]-0.63[/C][C]-0.396[/C][C]-0.643[/C][C]-0.588[/C][/ROW]
[ROW][C]6[/C][C]0.243[/C][C]0.4[/C][C]-0.346[/C][C]-0.304[/C][C]-0.39[/C][C]1[/C][C]0.526[/C][C]-0.127[/C][C]0.317[/C][C]0.019[/C][/ROW]
[ROW][C]7[/C][C]0.651[/C][C]0.748[/C][C]-0.593[/C][C]-0.45[/C][C]-0.63[/C][C]0.526[/C][C]1[/C][C]0.199[/C][C]0.637[/C][C]0.377[/C][/ROW]
[ROW][C]8[/C][C]0.059[/C][C]0.033[/C][C]-0.318[/C][C]-0.447[/C][C]-0.396[/C][C]-0.127[/C][C]0.199[/C][C]1[/C][C]0.618[/C][C]0.916[/C][/ROW]
[ROW][C]9[/C][C]0.338[/C][C]0.368[/C][C]-0.544[/C][C]-0.537[/C][C]-0.643[/C][C]0.317[/C][C]0.637[/C][C]0.618[/C][C]1[/C][C]0.787[/C][/ROW]
[ROW][C]10[/C][C]0.134[/C][C]0.145[/C][C]-0.484[/C][C]-0.579[/C][C]-0.588[/C][C]0.019[/C][C]0.377[/C][C]0.916[/C][C]0.787[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113013&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113013&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	10
1	1	0.934	-0.376	-0.109	-0.307	0.243	0.651	0.059	0.338	0.134
2	0.934	1	-0.369	-0.104	-0.358	0.4	0.748	0.033	0.368	0.145
3	-0.376	-0.369	1	0.514	0.963	-0.346	-0.593	-0.318	-0.544	-0.484
4	-0.109	-0.104	0.514	1	0.727	-0.304	-0.45	-0.447	-0.537	-0.579
5	-0.307	-0.358	0.963	0.727	1	-0.39	-0.63	-0.396	-0.643	-0.588
6	0.243	0.4	-0.346	-0.304	-0.39	1	0.526	-0.127	0.317	0.019
7	0.651	0.748	-0.593	-0.45	-0.63	0.526	1	0.199	0.637	0.377
8	0.059	0.033	-0.318	-0.447	-0.396	-0.127	0.199	1	0.618	0.916
9	0.338	0.368	-0.544	-0.537	-0.643	0.317	0.637	0.618	1	0.787
10	0.134	0.145	-0.484	-0.579	-0.588	0.019	0.377	0.916	0.787	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
1;2	0.9342	0.9535	0.8335
p-value	(0)	(0)	(0)
1;3	-0.3759	-0.5051	-0.3619
p-value	(0.0085)	(3e-04)	(3e-04)
1;4	-0.1094	-0.4079	-0.2533
p-value	(0.4495)	(0.0033)	(0.0102)
1;5	-0.307	-0.5059	-0.3522
p-value	(0.0191)	(1e-04)	(1e-04)
1;6	0.2428	0.7023	0.5255
p-value	(0.0663)	(0)	(0)
1;7	0.6515	0.7283	0.5442
p-value	(0)	(0)	(0)
1;8	0.0595	0.0938	0.0591
p-value	(0.646)	(0.4684)	(0.5333)
1;9	0.3383	0.5711	0.4554
p-value	(0.0072)	(0)	(0)
1;10	0.1336	0.251	0.1721
p-value	(0.3006)	(0.0491)	(0.07)
2;3	-0.369	-0.5306	-0.3861
p-value	(0.0099)	(1e-04)	(1e-04)
2;4	-0.1043	-0.5057	-0.3087
p-value	(0.4711)	(2e-04)	(0.0017)
2;5	-0.3576	-0.5573	-0.387
p-value	(0.0059)	(0)	(0)
2;6	0.3997	0.7936	0.6393
p-value	(0.0019)	(0)	(0)
2;7	0.7479	0.8053	0.6074
p-value	(0)	(0)	(0)
2;8	0.0334	0.0734	0.0396
p-value	(0.7966)	(0.5708)	(0.6764)
2;9	0.3675	0.6003	0.4841
p-value	(0.0033)	(0)	(0)
2;10	0.1455	0.254	0.1763
p-value	(0.2592)	(0.0464)	(0.0635)
3;4	0.5143	0.5412	0.3833
p-value	(2e-04)	(1e-04)	(1e-04)
3;5	0.9627	0.9625	0.8509
p-value	(0)	(0)	(0)
3;6	-0.3463	-0.4079	-0.2825
p-value	(0.0198)	(0.0054)	(0.0067)
3;7	-0.5933	-0.5998	-0.4416
p-value	(0)	(0)	(0)
3;8	-0.3182	-0.2496	-0.1882
p-value	(0.0275)	(0.0871)	(0.0832)
3;9	-0.5438	-0.501	-0.3899
p-value	(1e-04)	(3e-04)	(5e-04)
3;10	-0.4839	-0.4085	-0.3195
p-value	(5e-04)	(0.0039)	(0.0034)
4;5	0.727	0.7239	0.5432
p-value	(0)	(0)	(0)
4;6	-0.3038	-0.4527	-0.2829
p-value	(0.0379)	(0.0014)	(0.0057)
4;7	-0.4502	-0.5822	-0.4147
p-value	(0.0017)	(0)	(1e-04)
4;8	-0.4475	-0.4943	-0.3659
p-value	(0.0011)	(3e-04)	(6e-04)
4;9	-0.5372	-0.6662	-0.5129
p-value	(1e-04)	(0)	(0)
4;10	-0.5793	-0.6353	-0.4896
p-value	(0)	(0)	(0)
5;6	-0.3905	-0.4535	-0.3136
p-value	(0.0035)	(6e-04)	(9e-04)
5;7	-0.6299	-0.6574	-0.4785
p-value	(0)	(0)	(0)
5;8	-0.3962	-0.3551	-0.273
p-value	(0.0021)	(0.0062)	(0.0056)
5;9	-0.6426	-0.6061	-0.4774
p-value	(0)	(0)	(0)
5;10	-0.5881	-0.5241	-0.4129
p-value	(0)	(0)	(0)
6;7	0.526	0.6367	0.4595
p-value	(0)	(0)	(0)
6;8	-0.1275	-0.0786	-0.0718
p-value	(0.3403)	(0.5577)	(0.4659)
6;9	0.3172	0.5105	0.3814
p-value	(0.0153)	(0)	(1e-04)
6;10	0.0191	0.0986	0.0688
p-value	(0.8871)	(0.4616)	(0.4855)
7;8	0.1991	0.1231	0.0758
p-value	(0.1341)	(0.3574)	(0.4409)
7;9	0.6371	0.6114	0.4945
p-value	(0)	(0)	(0)
7;10	0.3771	0.3225	0.2285
p-value	(0.0035)	(0.0136)	(0.0203)
8;9	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
8;10	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
9;10	0.7872	0.7181	0.6277
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 & 0.9342 & 0.9535 & 0.8335 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;3 & -0.3759 & -0.5051 & -0.3619 \tabularnewline
p-value & (0.0085) & (3e-04) & (3e-04) \tabularnewline
1;4 & -0.1094 & -0.4079 & -0.2533 \tabularnewline
p-value & (0.4495) & (0.0033) & (0.0102) \tabularnewline
1;5 & -0.307 & -0.5059 & -0.3522 \tabularnewline
p-value & (0.0191) & (1e-04) & (1e-04) \tabularnewline
1;6 & 0.2428 & 0.7023 & 0.5255 \tabularnewline
p-value & (0.0663) & (0) & (0) \tabularnewline
1;7 & 0.6515 & 0.7283 & 0.5442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;8 & 0.0595 & 0.0938 & 0.0591 \tabularnewline
p-value & (0.646) & (0.4684) & (0.5333) \tabularnewline
1;9 & 0.3383 & 0.5711 & 0.4554 \tabularnewline
p-value & (0.0072) & (0) & (0) \tabularnewline
1;10 & 0.1336 & 0.251 & 0.1721 \tabularnewline
p-value & (0.3006) & (0.0491) & (0.07) \tabularnewline
2;3 & -0.369 & -0.5306 & -0.3861 \tabularnewline
p-value & (0.0099) & (1e-04) & (1e-04) \tabularnewline
2;4 & -0.1043 & -0.5057 & -0.3087 \tabularnewline
p-value & (0.4711) & (2e-04) & (0.0017) \tabularnewline
2;5 & -0.3576 & -0.5573 & -0.387 \tabularnewline
p-value & (0.0059) & (0) & (0) \tabularnewline
2;6 & 0.3997 & 0.7936 & 0.6393 \tabularnewline
p-value & (0.0019) & (0) & (0) \tabularnewline
2;7 & 0.7479 & 0.8053 & 0.6074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;8 & 0.0334 & 0.0734 & 0.0396 \tabularnewline
p-value & (0.7966) & (0.5708) & (0.6764) \tabularnewline
2;9 & 0.3675 & 0.6003 & 0.4841 \tabularnewline
p-value & (0.0033) & (0) & (0) \tabularnewline
2;10 & 0.1455 & 0.254 & 0.1763 \tabularnewline
p-value & (0.2592) & (0.0464) & (0.0635) \tabularnewline
3;4 & 0.5143 & 0.5412 & 0.3833 \tabularnewline
p-value & (2e-04) & (1e-04) & (1e-04) \tabularnewline
3;5 & 0.9627 & 0.9625 & 0.8509 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;6 & -0.3463 & -0.4079 & -0.2825 \tabularnewline
p-value & (0.0198) & (0.0054) & (0.0067) \tabularnewline
3;7 & -0.5933 & -0.5998 & -0.4416 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;8 & -0.3182 & -0.2496 & -0.1882 \tabularnewline
p-value & (0.0275) & (0.0871) & (0.0832) \tabularnewline
3;9 & -0.5438 & -0.501 & -0.3899 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
3;10 & -0.4839 & -0.4085 & -0.3195 \tabularnewline
p-value & (5e-04) & (0.0039) & (0.0034) \tabularnewline
4;5 & 0.727 & 0.7239 & 0.5432 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;6 & -0.3038 & -0.4527 & -0.2829 \tabularnewline
p-value & (0.0379) & (0.0014) & (0.0057) \tabularnewline
4;7 & -0.4502 & -0.5822 & -0.4147 \tabularnewline
p-value & (0.0017) & (0) & (1e-04) \tabularnewline
4;8 & -0.4475 & -0.4943 & -0.3659 \tabularnewline
p-value & (0.0011) & (3e-04) & (6e-04) \tabularnewline
4;9 & -0.5372 & -0.6662 & -0.5129 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
4;10 & -0.5793 & -0.6353 & -0.4896 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;6 & -0.3905 & -0.4535 & -0.3136 \tabularnewline
p-value & (0.0035) & (6e-04) & (9e-04) \tabularnewline
5;7 & -0.6299 & -0.6574 & -0.4785 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;8 & -0.3962 & -0.3551 & -0.273 \tabularnewline
p-value & (0.0021) & (0.0062) & (0.0056) \tabularnewline
5;9 & -0.6426 & -0.6061 & -0.4774 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;10 & -0.5881 & -0.5241 & -0.4129 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
6;7 & 0.526 & 0.6367 & 0.4595 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
6;8 & -0.1275 & -0.0786 & -0.0718 \tabularnewline
p-value & (0.3403) & (0.5577) & (0.4659) \tabularnewline
6;9 & 0.3172 & 0.5105 & 0.3814 \tabularnewline
p-value & (0.0153) & (0) & (1e-04) \tabularnewline
6;10 & 0.0191 & 0.0986 & 0.0688 \tabularnewline
p-value & (0.8871) & (0.4616) & (0.4855) \tabularnewline
7;8 & 0.1991 & 0.1231 & 0.0758 \tabularnewline
p-value & (0.1341) & (0.3574) & (0.4409) \tabularnewline
7;9 & 0.6371 & 0.6114 & 0.4945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;10 & 0.3771 & 0.3225 & 0.2285 \tabularnewline
p-value & (0.0035) & (0.0136) & (0.0203) \tabularnewline
8;9 & 0.6182 & 0.5669 & 0.4693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;10 & 0.916 & 0.918 & 0.8563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;10 & 0.7872 & 0.7181 & 0.6277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113013&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]0.9342[/C][C]0.9535[/C][C]0.8335[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;3[/C][C]-0.3759[/C][C]-0.5051[/C][C]-0.3619[/C][/ROW]
[ROW][C]p-value[/C][C](0.0085)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]1;4[/C][C]-0.1094[/C][C]-0.4079[/C][C]-0.2533[/C][/ROW]
[ROW][C]p-value[/C][C](0.4495)[/C][C](0.0033)[/C][C](0.0102)[/C][/ROW]
[ROW][C]1;5[/C][C]-0.307[/C][C]-0.5059[/C][C]-0.3522[/C][/ROW]
[ROW][C]p-value[/C][C](0.0191)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]1;6[/C][C]0.2428[/C][C]0.7023[/C][C]0.5255[/C][/ROW]
[ROW][C]p-value[/C][C](0.0663)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;7[/C][C]0.6515[/C][C]0.7283[/C][C]0.5442[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;8[/C][C]0.0595[/C][C]0.0938[/C][C]0.0591[/C][/ROW]
[ROW][C]p-value[/C][C](0.646)[/C][C](0.4684)[/C][C](0.5333)[/C][/ROW]
[ROW][C]1;9[/C][C]0.3383[/C][C]0.5711[/C][C]0.4554[/C][/ROW]
[ROW][C]p-value[/C][C](0.0072)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;10[/C][C]0.1336[/C][C]0.251[/C][C]0.1721[/C][/ROW]
[ROW][C]p-value[/C][C](0.3006)[/C][C](0.0491)[/C][C](0.07)[/C][/ROW]
[ROW][C]2;3[/C][C]-0.369[/C][C]-0.5306[/C][C]-0.3861[/C][/ROW]
[ROW][C]p-value[/C][C](0.0099)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]2;4[/C][C]-0.1043[/C][C]-0.5057[/C][C]-0.3087[/C][/ROW]
[ROW][C]p-value[/C][C](0.4711)[/C][C](2e-04)[/C][C](0.0017)[/C][/ROW]
[ROW][C]2;5[/C][C]-0.3576[/C][C]-0.5573[/C][C]-0.387[/C][/ROW]
[ROW][C]p-value[/C][C](0.0059)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;6[/C][C]0.3997[/C][C]0.7936[/C][C]0.6393[/C][/ROW]
[ROW][C]p-value[/C][C](0.0019)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;7[/C][C]0.7479[/C][C]0.8053[/C][C]0.6074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;8[/C][C]0.0334[/C][C]0.0734[/C][C]0.0396[/C][/ROW]
[ROW][C]p-value[/C][C](0.7966)[/C][C](0.5708)[/C][C](0.6764)[/C][/ROW]
[ROW][C]2;9[/C][C]0.3675[/C][C]0.6003[/C][C]0.4841[/C][/ROW]
[ROW][C]p-value[/C][C](0.0033)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;10[/C][C]0.1455[/C][C]0.254[/C][C]0.1763[/C][/ROW]
[ROW][C]p-value[/C][C](0.2592)[/C][C](0.0464)[/C][C](0.0635)[/C][/ROW]
[ROW][C]3;4[/C][C]0.5143[/C][C]0.5412[/C][C]0.3833[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]3;5[/C][C]0.9627[/C][C]0.9625[/C][C]0.8509[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;6[/C][C]-0.3463[/C][C]-0.4079[/C][C]-0.2825[/C][/ROW]
[ROW][C]p-value[/C][C](0.0198)[/C][C](0.0054)[/C][C](0.0067)[/C][/ROW]
[ROW][C]3;7[/C][C]-0.5933[/C][C]-0.5998[/C][C]-0.4416[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;8[/C][C]-0.3182[/C][C]-0.2496[/C][C]-0.1882[/C][/ROW]
[ROW][C]p-value[/C][C](0.0275)[/C][C](0.0871)[/C][C](0.0832)[/C][/ROW]
[ROW][C]3;9[/C][C]-0.5438[/C][C]-0.501[/C][C]-0.3899[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]3;10[/C][C]-0.4839[/C][C]-0.4085[/C][C]-0.3195[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0.0039)[/C][C](0.0034)[/C][/ROW]
[ROW][C]4;5[/C][C]0.727[/C][C]0.7239[/C][C]0.5432[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;6[/C][C]-0.3038[/C][C]-0.4527[/C][C]-0.2829[/C][/ROW]
[ROW][C]p-value[/C][C](0.0379)[/C][C](0.0014)[/C][C](0.0057)[/C][/ROW]
[ROW][C]4;7[/C][C]-0.4502[/C][C]-0.5822[/C][C]-0.4147[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]4;8[/C][C]-0.4475[/C][C]-0.4943[/C][C]-0.3659[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](3e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]4;9[/C][C]-0.5372[/C][C]-0.6662[/C][C]-0.5129[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;10[/C][C]-0.5793[/C][C]-0.6353[/C][C]-0.4896[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;6[/C][C]-0.3905[/C][C]-0.4535[/C][C]-0.3136[/C][/ROW]
[ROW][C]p-value[/C][C](0.0035)[/C][C](6e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]5;7[/C][C]-0.6299[/C][C]-0.6574[/C][C]-0.4785[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;8[/C][C]-0.3962[/C][C]-0.3551[/C][C]-0.273[/C][/ROW]
[ROW][C]p-value[/C][C](0.0021)[/C][C](0.0062)[/C][C](0.0056)[/C][/ROW]
[ROW][C]5;9[/C][C]-0.6426[/C][C]-0.6061[/C][C]-0.4774[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;10[/C][C]-0.5881[/C][C]-0.5241[/C][C]-0.4129[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]6;7[/C][C]0.526[/C][C]0.6367[/C][C]0.4595[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]6;8[/C][C]-0.1275[/C][C]-0.0786[/C][C]-0.0718[/C][/ROW]
[ROW][C]p-value[/C][C](0.3403)[/C][C](0.5577)[/C][C](0.4659)[/C][/ROW]
[ROW][C]6;9[/C][C]0.3172[/C][C]0.5105[/C][C]0.3814[/C][/ROW]
[ROW][C]p-value[/C][C](0.0153)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]6;10[/C][C]0.0191[/C][C]0.0986[/C][C]0.0688[/C][/ROW]
[ROW][C]p-value[/C][C](0.8871)[/C][C](0.4616)[/C][C](0.4855)[/C][/ROW]
[ROW][C]7;8[/C][C]0.1991[/C][C]0.1231[/C][C]0.0758[/C][/ROW]
[ROW][C]p-value[/C][C](0.1341)[/C][C](0.3574)[/C][C](0.4409)[/C][/ROW]
[ROW][C]7;9[/C][C]0.6371[/C][C]0.6114[/C][C]0.4945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;10[/C][C]0.3771[/C][C]0.3225[/C][C]0.2285[/C][/ROW]
[ROW][C]p-value[/C][C](0.0035)[/C][C](0.0136)[/C][C](0.0203)[/C][/ROW]
[ROW][C]8;9[/C][C]0.6182[/C][C]0.5669[/C][C]0.4693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;10[/C][C]0.916[/C][C]0.918[/C][C]0.8563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;10[/C][C]0.7872[/C][C]0.7181[/C][C]0.6277[/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=113013&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113013&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	0.9342	0.9535	0.8335
p-value	(0)	(0)	(0)
1;3	-0.3759	-0.5051	-0.3619
p-value	(0.0085)	(3e-04)	(3e-04)
1;4	-0.1094	-0.4079	-0.2533
p-value	(0.4495)	(0.0033)	(0.0102)
1;5	-0.307	-0.5059	-0.3522
p-value	(0.0191)	(1e-04)	(1e-04)
1;6	0.2428	0.7023	0.5255
p-value	(0.0663)	(0)	(0)
1;7	0.6515	0.7283	0.5442
p-value	(0)	(0)	(0)
1;8	0.0595	0.0938	0.0591
p-value	(0.646)	(0.4684)	(0.5333)
1;9	0.3383	0.5711	0.4554
p-value	(0.0072)	(0)	(0)
1;10	0.1336	0.251	0.1721
p-value	(0.3006)	(0.0491)	(0.07)
2;3	-0.369	-0.5306	-0.3861
p-value	(0.0099)	(1e-04)	(1e-04)
2;4	-0.1043	-0.5057	-0.3087
p-value	(0.4711)	(2e-04)	(0.0017)
2;5	-0.3576	-0.5573	-0.387
p-value	(0.0059)	(0)	(0)
2;6	0.3997	0.7936	0.6393
p-value	(0.0019)	(0)	(0)
2;7	0.7479	0.8053	0.6074
p-value	(0)	(0)	(0)
2;8	0.0334	0.0734	0.0396
p-value	(0.7966)	(0.5708)	(0.6764)
2;9	0.3675	0.6003	0.4841
p-value	(0.0033)	(0)	(0)
2;10	0.1455	0.254	0.1763
p-value	(0.2592)	(0.0464)	(0.0635)
3;4	0.5143	0.5412	0.3833
p-value	(2e-04)	(1e-04)	(1e-04)
3;5	0.9627	0.9625	0.8509
p-value	(0)	(0)	(0)
3;6	-0.3463	-0.4079	-0.2825
p-value	(0.0198)	(0.0054)	(0.0067)
3;7	-0.5933	-0.5998	-0.4416
p-value	(0)	(0)	(0)
3;8	-0.3182	-0.2496	-0.1882
p-value	(0.0275)	(0.0871)	(0.0832)
3;9	-0.5438	-0.501	-0.3899
p-value	(1e-04)	(3e-04)	(5e-04)
3;10	-0.4839	-0.4085	-0.3195
p-value	(5e-04)	(0.0039)	(0.0034)
4;5	0.727	0.7239	0.5432
p-value	(0)	(0)	(0)
4;6	-0.3038	-0.4527	-0.2829
p-value	(0.0379)	(0.0014)	(0.0057)
4;7	-0.4502	-0.5822	-0.4147
p-value	(0.0017)	(0)	(1e-04)
4;8	-0.4475	-0.4943	-0.3659
p-value	(0.0011)	(3e-04)	(6e-04)
4;9	-0.5372	-0.6662	-0.5129
p-value	(1e-04)	(0)	(0)
4;10	-0.5793	-0.6353	-0.4896
p-value	(0)	(0)	(0)
5;6	-0.3905	-0.4535	-0.3136
p-value	(0.0035)	(6e-04)	(9e-04)
5;7	-0.6299	-0.6574	-0.4785
p-value	(0)	(0)	(0)
5;8	-0.3962	-0.3551	-0.273
p-value	(0.0021)	(0.0062)	(0.0056)
5;9	-0.6426	-0.6061	-0.4774
p-value	(0)	(0)	(0)
5;10	-0.5881	-0.5241	-0.4129
p-value	(0)	(0)	(0)
6;7	0.526	0.6367	0.4595
p-value	(0)	(0)	(0)
6;8	-0.1275	-0.0786	-0.0718
p-value	(0.3403)	(0.5577)	(0.4659)
6;9	0.3172	0.5105	0.3814
p-value	(0.0153)	(0)	(1e-04)
6;10	0.0191	0.0986	0.0688
p-value	(0.8871)	(0.4616)	(0.4855)
7;8	0.1991	0.1231	0.0758
p-value	(0.1341)	(0.3574)	(0.4409)
7;9	0.6371	0.6114	0.4945
p-value	(0)	(0)	(0)
7;10	0.3771	0.3225	0.2285
p-value	(0.0035)	(0.0136)	(0.0203)
8;9	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
8;10	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
9;10	0.7872	0.7181	0.6277
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

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