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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 computationTue, 20 Dec 2011 13:51:40 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/20/t1324407362tav1aj2let4slod.htm/, Retrieved Sun, 05 May 2024 23:59:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158154, Retrieved Sun, 05 May 2024 23:59:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2011-12-20 18:51:40] [ab08b0912efa69a4a0d957eeac7bea9a] [Current]
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Dataseries X:
1772	158258	89	576	110	0	48	18	20465
1679	186739	57	510	74	1	53	20	33629
192	7215	18	72	1	0	0	0	1423
2198	122689	93	625	154	0	49	26	25629
3423	226968	133	1153	125	0	76	31	54002
6733	494047	258	1913	278	1	125	36	151036
1709	171007	56	568	89	1	59	23	33287
1624	174432	57	464	59	0	76	30	31172
1882	149604	43	606	87	0	55	30	28113
2828	275778	94	925	129	1	67	26	57803
1946	121844	75	634	158	2	50	24	49830
2125	178322	68	671	120	0	73	30	52143
1782	95108	98	647	87	0	43	22	21055
3049	209143	113	1040	256	4	79	25	47007
1409	157095	56	400	51	4	51	18	28735
1549	152774	82	464	85	3	54	22	59147
1642	134175	54	393	92	0	75	33	78950
1189	69082	56	347	72	5	1	15	13497
2628	149618	86	816	142	0	73	34	46154
726	27997	24	221	49	0	13	18	53249
1026	69866	57	361	40	0	19	15	10726
2733	231687	97	832	99	0	92	30	83700
1729	190182	72	632	127	0	37	25	40400
2162	127994	50	670	164	1	48	34	33797
1824	144028	85	572	41	1	50	21	36205
1573	165288	30	584	160	0	45	21	30165
2043	191300	158	662	92	0	59	25	58534
1360	178833	87	342	59	0	79	31	44663
2708	351374	116	894	89	0	60	31	92556
2111	192399	43	882	90	0	52	20	40078
1593	165257	43	463	76	0	50	28	34711
1568	173687	44	538	111	2	60	20	31076
2187	126725	104	704	92	4	53	17	74608
3032	224762	121	903	331	0	76	25	58092
2388	219428	52	787	84	1	63	24	42009
1	0	1	0	0	0	0	0	0
2033	208669	62	955	58	0	53	27	36022
1654	99706	50	533	138	3	44	14	23333
2094	136733	47	505	270	9	36	35	53349
2152	249965	63	795	64	0	83	34	92596
2320	232951	69	704	96	2	105	22	49598
1659	143748	58	617	62	0	37	34	44093
958	94332	30	350	35	2	25	23	84205
2142	189893	78	800	59	1	63	24	63369
1243	114811	47	384	54	2	55	26	60132
1182	156861	92	319	40	2	41	22	37403
744	81293	31	212	49	1	23	35	24460
2027	208024	94	684	120	0	63	23	46456
2239	223771	85	727	113	1	54	31	66616
2629	160254	58	936	172	8	68	26	41554
658	48188	28	205	37	0	12	22	22346
1790	143776	66	462	51	0	84	21	30874
2410	286674	72	799	89	0	66	27	68701
2018	234829	78	678	73	0	56	30	35728
1911	195583	59	691	49	1	67	33	29010
1714	145942	54	534	74	8	40	11	23110
1823	206054	65	483	58	0	53	26	38844
980	93764	23	301	72	1	26	26	27084
1171	151913	66	419	32	0	67	23	35139
2801	190487	94	938	59	10	36	38	57476
1641	143389	56	483	65	6	50	29	33277
2026	124825	77	770	81	0	48	19	31141
1300	124234	58	352	84	11	46	19	61281
1237	111501	36	427	48	3	53	26	25820
1216	153813	33	406	56	0	27	26	23284
1267	97548	39	403	39	0	38	31	35378
2227	178613	68	483	86	8	68	36	74990
2897	138708	65	887	152	2	93	25	29653
1089	111869	38	265	48	0	57	24	64622
340	31970	15	101	40	0	5	21	4157
2775	224494	110	994	135	3	53	19	29245
1284	123254	67	397	83	1	36	12	50008
1428	113504	64	480	62	2	72	30	52338
1554	105932	68	448	89	1	49	21	13310
2620	159167	66	666	91	0	74	34	92901
1454	95485	43	406	82	2	18	32	10956
2220	170629	59	651	112	1	87	28	34241
2517	156752	94	814	69	0	71	28	75043
975	76427	29	310	78	0	18	21	21152
1234	84971	71	395	105	0	34	31	42249
920	80506	67	215	49	0	54	26	42005
2064	267448	61	782	60	0	43	29	41152
956	62974	27	292	49	1	26	23	14399
1442	119802	35	482	132	0	44	25	28263
992	75132	45	341	49	0	35	22	17215
1695	156084	51	545	71	0	32	26	48140
2578	222914	221	636	100	0	55	33	62897
1201	115019	108	284	74	0	58	24	22883
1250	99114	58	396	49	7	44	24	41622
1443	149326	51	575	72	0	39	21	40715
1759	144425	40	638	59	5	48	28	65897
2199	159599	75	641	90	1	72	27	76542
1229	151465	57	413	68	0	39	25	37477
1365	133686	58	505	81	0	28	15	53216
897	58059	38	363	30	0	24	13	40911
2264	234131	113	715	166	0	49	36	57021
1813	193233	69	550	94	0	95	24	73116
223	19349	12	67	15	0	13	1	3895
2335	206298	104	788	104	3	32	24	46609
1959	151538	75	805	61	0	41	31	29351
699	59117	28	281	11	0	24	4	2325
805	58280	23	240	44	0	41	20	31747
1233	126653	49	396	84	0	57	23	32665
1145	112265	58	294	66	1	28	23	19249
799	83829	40	218	27	1	34	12	15292
596	27676	22	194	59	0	2	16	5842
1395	134235	46	316	127	0	80	29	33994
1128	122405	36	268	48	0	29	26	13018
0	0	0	0	0	0	0	0	0
1030	85610	31	306	58	0	46	25	98177
1134	107205	66	371	57	0	25	21	37941
1366	144664	44	465	59	0	51	23	31032
1451	136540	61	429	76	0	59	21	32683
849	71894	57	287	71	0	36	21	34545
78	3616	5	14	5	0	0	0	0
0	0	0	0	0	0	0	0	0
1092	172534	42	379	70	0	36	23	27525
1530	138499	80	547	72	0	68	29	66856
1981	152826	95	552	119	2	28	28	28549
914	113245	37	287	56	0	36	23	38610
778	43410	19	292	63	0	7	1	2781
1748	175762	71	529	92	1	70	29	41211
918	90591	41	245	46	0	30	17	22698
1778	114942	53	519	61	8	55	30	41194
731	60493	40	174	29	3	3	12	32689
285	19764	12	75	19	1	10	2	5752
1833	164062	55	565	64	3	46	21	26757
1073	125970	29	359	66	0	34	25	22527
1589	151495	47	529	97	0	50	29	44810
256	11796	9	79	22	0	1	2	0
98	10674	9	33	7	0	0	0	0
1383	138547	55	475	37	0	35	18	100674
41	6836	3	11	5	0	0	1	0
1773	154121	60	606	48	6	48	21	57786
42	5118	3	6	1	0	5	0	0
528	40248	16	183	34	1	8	4	5444
0	0	0	0	0	0	0	0	0
1036	117954	46	325	49	0	35	25	28470
1305	88837	38	269	44	0	21	26	61849
81	7131	4	27	0	1	0	0	0
258	8812	14	97	18	0	0	4	2179
914	68916	23	251	48	1	15	17	8019
1179	132697	50	290	54	0	50	21	39644
1147	100681	19	414	50	1	17	22	23494




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.wessa.net

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158154&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158154&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 time3 seconds
R Server'AstonUniversity' @ aston.wessa.net







Correlations for all pairs of data series (method=kendall)
PageviewsTimeLoginsViewsViews(PR)SharedBloggedReviewedcharacters
Pageviews10.70.6350.8380.5990.190.590.4710.476
Time0.710.570.6810.4820.0890.5820.4340.469
Logins0.6350.5710.5970.4820.1130.5180.3690.463
Views0.8380.6810.59710.5610.1510.5310.4140.438
Views(PR)0.5990.4820.4820.56110.1310.4570.370.33
Shared0.190.0890.1130.1510.13110.0740.0330.092
Blogged0.590.5820.5180.5310.4570.07410.4370.478
Reviewed0.4710.4340.3690.4140.370.0330.43710.43
characters0.4760.4690.4630.4380.330.0920.4780.431

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Pageviews & Time & Logins & Views & Views(PR) & Shared & Blogged & Reviewed & characters \tabularnewline
Pageviews & 1 & 0.7 & 0.635 & 0.838 & 0.599 & 0.19 & 0.59 & 0.471 & 0.476 \tabularnewline
Time & 0.7 & 1 & 0.57 & 0.681 & 0.482 & 0.089 & 0.582 & 0.434 & 0.469 \tabularnewline
Logins & 0.635 & 0.57 & 1 & 0.597 & 0.482 & 0.113 & 0.518 & 0.369 & 0.463 \tabularnewline
Views & 0.838 & 0.681 & 0.597 & 1 & 0.561 & 0.151 & 0.531 & 0.414 & 0.438 \tabularnewline
Views(PR) & 0.599 & 0.482 & 0.482 & 0.561 & 1 & 0.131 & 0.457 & 0.37 & 0.33 \tabularnewline
Shared & 0.19 & 0.089 & 0.113 & 0.151 & 0.131 & 1 & 0.074 & 0.033 & 0.092 \tabularnewline
Blogged & 0.59 & 0.582 & 0.518 & 0.531 & 0.457 & 0.074 & 1 & 0.437 & 0.478 \tabularnewline
Reviewed & 0.471 & 0.434 & 0.369 & 0.414 & 0.37 & 0.033 & 0.437 & 1 & 0.43 \tabularnewline
characters & 0.476 & 0.469 & 0.463 & 0.438 & 0.33 & 0.092 & 0.478 & 0.43 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158154&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Pageviews[/C][C]Time[/C][C]Logins[/C][C]Views[/C][C]Views(PR)[/C][C]Shared[/C][C]Blogged[/C][C]Reviewed[/C][C]characters[/C][/ROW]
[ROW][C]Pageviews[/C][C]1[/C][C]0.7[/C][C]0.635[/C][C]0.838[/C][C]0.599[/C][C]0.19[/C][C]0.59[/C][C]0.471[/C][C]0.476[/C][/ROW]
[ROW][C]Time[/C][C]0.7[/C][C]1[/C][C]0.57[/C][C]0.681[/C][C]0.482[/C][C]0.089[/C][C]0.582[/C][C]0.434[/C][C]0.469[/C][/ROW]
[ROW][C]Logins[/C][C]0.635[/C][C]0.57[/C][C]1[/C][C]0.597[/C][C]0.482[/C][C]0.113[/C][C]0.518[/C][C]0.369[/C][C]0.463[/C][/ROW]
[ROW][C]Views[/C][C]0.838[/C][C]0.681[/C][C]0.597[/C][C]1[/C][C]0.561[/C][C]0.151[/C][C]0.531[/C][C]0.414[/C][C]0.438[/C][/ROW]
[ROW][C]Views(PR)[/C][C]0.599[/C][C]0.482[/C][C]0.482[/C][C]0.561[/C][C]1[/C][C]0.131[/C][C]0.457[/C][C]0.37[/C][C]0.33[/C][/ROW]
[ROW][C]Shared[/C][C]0.19[/C][C]0.089[/C][C]0.113[/C][C]0.151[/C][C]0.131[/C][C]1[/C][C]0.074[/C][C]0.033[/C][C]0.092[/C][/ROW]
[ROW][C]Blogged[/C][C]0.59[/C][C]0.582[/C][C]0.518[/C][C]0.531[/C][C]0.457[/C][C]0.074[/C][C]1[/C][C]0.437[/C][C]0.478[/C][/ROW]
[ROW][C]Reviewed[/C][C]0.471[/C][C]0.434[/C][C]0.369[/C][C]0.414[/C][C]0.37[/C][C]0.033[/C][C]0.437[/C][C]1[/C][C]0.43[/C][/ROW]
[ROW][C]characters[/C][C]0.476[/C][C]0.469[/C][C]0.463[/C][C]0.438[/C][C]0.33[/C][C]0.092[/C][C]0.478[/C][C]0.43[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158154&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=kendall)
PageviewsTimeLoginsViewsViews(PR)SharedBloggedReviewedcharacters
Pageviews10.70.6350.8380.5990.190.590.4710.476
Time0.710.570.6810.4820.0890.5820.4340.469
Logins0.6350.5710.5970.4820.1130.5180.3690.463
Views0.8380.6810.59710.5610.1510.5310.4140.438
Views(PR)0.5990.4820.4820.56110.1310.4570.370.33
Shared0.190.0890.1130.1510.13110.0740.0330.092
Blogged0.590.5820.5180.5310.4570.07410.4370.478
Reviewed0.4710.4340.3690.4140.370.0330.43710.43
characters0.4760.4690.4630.4380.330.0920.4780.431







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Pageviews;Time0.88940.86410.7001
p-value(0)(0)(0)
Pageviews;Logins0.83140.80460.6353
p-value(0)(0)(0)
Pageviews;Views0.96570.96020.838
p-value(0)(0)(0)
Pageviews;Views(PR)0.75270.77850.5989
p-value(0)(0)(0)
Pageviews;Shared0.19980.24880.1905
p-value(0.0164)(0.0026)(0.0028)
Pageviews;Blogged0.78790.76590.59
p-value(0)(0)(0)
Pageviews;Reviewed0.67140.62590.4706
p-value(0)(0)(0)
Pageviews;characters0.69290.63530.4761
p-value(0)(0)(0)
Time;Logins0.7710.73880.5702
p-value(0)(0)(0)
Time;Views0.87870.85450.6807
p-value(0)(0)(0)
Time;Views(PR)0.60580.64970.4816
p-value(0)(0)(0)
Time;Shared0.08340.11540.0893
p-value(0.3204)(0.1683)(0.1616)
Time;Blogged0.78180.7590.5819
p-value(0)(0)(0)
Time;Reviewed0.680.58570.4342
p-value(0)(0)(0)
Time;characters0.69210.62280.469
p-value(0)(0)(0)
Logins;Views0.77410.76540.5967
p-value(0)(0)(0)
Logins;Views(PR)0.60570.64750.4822
p-value(0)(0)(0)
Logins;Shared0.08140.14720.1134
p-value(0.3321)(0.0782)(0.0768)
Logins;Blogged0.65240.69170.5184
p-value(0)(0)(0)
Logins;Reviewed0.55340.49790.3685
p-value(0)(0)(0)
Logins;characters0.61730.60940.4632
p-value(0)(0)(0)
Views;Views(PR)0.70260.73680.5607
p-value(0)(0)(0)
Views;Shared0.16390.20090.151
p-value(0.0496)(0.0157)(0.018)
Views;Blogged0.73870.70350.5306
p-value(0)(0)(0)
Views;Reviewed0.62720.56160.4139
p-value(0)(0)(0)
Views;characters0.64080.59720.4381
p-value(0)(0)(0)
Views(PR);Shared0.18840.16960.1306
p-value(0.0237)(0.0422)(0.0416)
Views(PR);Blogged0.57360.61620.4567
p-value(0)(0)(0)
Views(PR);Reviewed0.51440.49820.3695
p-value(0)(0)(0)
Views(PR);characters0.4380.46180.3296
p-value(0)(0)(0)
Shared;Blogged0.07590.10180.0738
p-value(0.3657)(0.2247)(0.2508)
Shared;Reviewed0.13670.04240.0328
p-value(0.1023)(0.6136)(0.6142)
Shared;characters0.13940.1210.0924
p-value(0.0956)(0.1485)(0.1484)
Blogged;Reviewed0.67220.5870.4369
p-value(0)(0)(0)
Blogged;characters0.6660.640.4779
p-value(0)(0)(0)
Reviewed;characters0.62060.57360.4297
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
Pageviews;Time & 0.8894 & 0.8641 & 0.7001 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Logins & 0.8314 & 0.8046 & 0.6353 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Views & 0.9657 & 0.9602 & 0.838 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Views(PR) & 0.7527 & 0.7785 & 0.5989 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Shared & 0.1998 & 0.2488 & 0.1905 \tabularnewline
p-value & (0.0164) & (0.0026) & (0.0028) \tabularnewline
Pageviews;Blogged & 0.7879 & 0.7659 & 0.59 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Reviewed & 0.6714 & 0.6259 & 0.4706 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;characters & 0.6929 & 0.6353 & 0.4761 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Logins & 0.771 & 0.7388 & 0.5702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Views & 0.8787 & 0.8545 & 0.6807 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Views(PR) & 0.6058 & 0.6497 & 0.4816 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Shared & 0.0834 & 0.1154 & 0.0893 \tabularnewline
p-value & (0.3204) & (0.1683) & (0.1616) \tabularnewline
Time;Blogged & 0.7818 & 0.759 & 0.5819 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Reviewed & 0.68 & 0.5857 & 0.4342 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;characters & 0.6921 & 0.6228 & 0.469 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Views & 0.7741 & 0.7654 & 0.5967 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Views(PR) & 0.6057 & 0.6475 & 0.4822 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Shared & 0.0814 & 0.1472 & 0.1134 \tabularnewline
p-value & (0.3321) & (0.0782) & (0.0768) \tabularnewline
Logins;Blogged & 0.6524 & 0.6917 & 0.5184 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Reviewed & 0.5534 & 0.4979 & 0.3685 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;characters & 0.6173 & 0.6094 & 0.4632 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views;Views(PR) & 0.7026 & 0.7368 & 0.5607 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views;Shared & 0.1639 & 0.2009 & 0.151 \tabularnewline
p-value & (0.0496) & (0.0157) & (0.018) \tabularnewline
Views;Blogged & 0.7387 & 0.7035 & 0.5306 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views;Reviewed & 0.6272 & 0.5616 & 0.4139 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views;characters & 0.6408 & 0.5972 & 0.4381 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views(PR);Shared & 0.1884 & 0.1696 & 0.1306 \tabularnewline
p-value & (0.0237) & (0.0422) & (0.0416) \tabularnewline
Views(PR);Blogged & 0.5736 & 0.6162 & 0.4567 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views(PR);Reviewed & 0.5144 & 0.4982 & 0.3695 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Views(PR);characters & 0.438 & 0.4618 & 0.3296 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Shared;Blogged & 0.0759 & 0.1018 & 0.0738 \tabularnewline
p-value & (0.3657) & (0.2247) & (0.2508) \tabularnewline
Shared;Reviewed & 0.1367 & 0.0424 & 0.0328 \tabularnewline
p-value & (0.1023) & (0.6136) & (0.6142) \tabularnewline
Shared;characters & 0.1394 & 0.121 & 0.0924 \tabularnewline
p-value & (0.0956) & (0.1485) & (0.1484) \tabularnewline
Blogged;Reviewed & 0.6722 & 0.587 & 0.4369 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged;characters & 0.666 & 0.64 & 0.4779 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;characters & 0.6206 & 0.5736 & 0.4297 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158154&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]Pageviews;Time[/C][C]0.8894[/C][C]0.8641[/C][C]0.7001[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Logins[/C][C]0.8314[/C][C]0.8046[/C][C]0.6353[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Views[/C][C]0.9657[/C][C]0.9602[/C][C]0.838[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Views(PR)[/C][C]0.7527[/C][C]0.7785[/C][C]0.5989[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Shared[/C][C]0.1998[/C][C]0.2488[/C][C]0.1905[/C][/ROW]
[ROW][C]p-value[/C][C](0.0164)[/C][C](0.0026)[/C][C](0.0028)[/C][/ROW]
[ROW][C]Pageviews;Blogged[/C][C]0.7879[/C][C]0.7659[/C][C]0.59[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Reviewed[/C][C]0.6714[/C][C]0.6259[/C][C]0.4706[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;characters[/C][C]0.6929[/C][C]0.6353[/C][C]0.4761[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Logins[/C][C]0.771[/C][C]0.7388[/C][C]0.5702[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Views[/C][C]0.8787[/C][C]0.8545[/C][C]0.6807[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Views(PR)[/C][C]0.6058[/C][C]0.6497[/C][C]0.4816[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Shared[/C][C]0.0834[/C][C]0.1154[/C][C]0.0893[/C][/ROW]
[ROW][C]p-value[/C][C](0.3204)[/C][C](0.1683)[/C][C](0.1616)[/C][/ROW]
[ROW][C]Time;Blogged[/C][C]0.7818[/C][C]0.759[/C][C]0.5819[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Reviewed[/C][C]0.68[/C][C]0.5857[/C][C]0.4342[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;characters[/C][C]0.6921[/C][C]0.6228[/C][C]0.469[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Views[/C][C]0.7741[/C][C]0.7654[/C][C]0.5967[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Views(PR)[/C][C]0.6057[/C][C]0.6475[/C][C]0.4822[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Shared[/C][C]0.0814[/C][C]0.1472[/C][C]0.1134[/C][/ROW]
[ROW][C]p-value[/C][C](0.3321)[/C][C](0.0782)[/C][C](0.0768)[/C][/ROW]
[ROW][C]Logins;Blogged[/C][C]0.6524[/C][C]0.6917[/C][C]0.5184[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Reviewed[/C][C]0.5534[/C][C]0.4979[/C][C]0.3685[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;characters[/C][C]0.6173[/C][C]0.6094[/C][C]0.4632[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views;Views(PR)[/C][C]0.7026[/C][C]0.7368[/C][C]0.5607[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views;Shared[/C][C]0.1639[/C][C]0.2009[/C][C]0.151[/C][/ROW]
[ROW][C]p-value[/C][C](0.0496)[/C][C](0.0157)[/C][C](0.018)[/C][/ROW]
[ROW][C]Views;Blogged[/C][C]0.7387[/C][C]0.7035[/C][C]0.5306[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views;Reviewed[/C][C]0.6272[/C][C]0.5616[/C][C]0.4139[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views;characters[/C][C]0.6408[/C][C]0.5972[/C][C]0.4381[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views(PR);Shared[/C][C]0.1884[/C][C]0.1696[/C][C]0.1306[/C][/ROW]
[ROW][C]p-value[/C][C](0.0237)[/C][C](0.0422)[/C][C](0.0416)[/C][/ROW]
[ROW][C]Views(PR);Blogged[/C][C]0.5736[/C][C]0.6162[/C][C]0.4567[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views(PR);Reviewed[/C][C]0.5144[/C][C]0.4982[/C][C]0.3695[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Views(PR);characters[/C][C]0.438[/C][C]0.4618[/C][C]0.3296[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Shared;Blogged[/C][C]0.0759[/C][C]0.1018[/C][C]0.0738[/C][/ROW]
[ROW][C]p-value[/C][C](0.3657)[/C][C](0.2247)[/C][C](0.2508)[/C][/ROW]
[ROW][C]Shared;Reviewed[/C][C]0.1367[/C][C]0.0424[/C][C]0.0328[/C][/ROW]
[ROW][C]p-value[/C][C](0.1023)[/C][C](0.6136)[/C][C](0.6142)[/C][/ROW]
[ROW][C]Shared;characters[/C][C]0.1394[/C][C]0.121[/C][C]0.0924[/C][/ROW]
[ROW][C]p-value[/C][C](0.0956)[/C][C](0.1485)[/C][C](0.1484)[/C][/ROW]
[ROW][C]Blogged;Reviewed[/C][C]0.6722[/C][C]0.587[/C][C]0.4369[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged;characters[/C][C]0.666[/C][C]0.64[/C][C]0.4779[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed;characters[/C][C]0.6206[/C][C]0.5736[/C][C]0.4297[/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=158154&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158154&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
pairPearson rSpearman rhoKendall tau
Pageviews;Time0.88940.86410.7001
p-value(0)(0)(0)
Pageviews;Logins0.83140.80460.6353
p-value(0)(0)(0)
Pageviews;Views0.96570.96020.838
p-value(0)(0)(0)
Pageviews;Views(PR)0.75270.77850.5989
p-value(0)(0)(0)
Pageviews;Shared0.19980.24880.1905
p-value(0.0164)(0.0026)(0.0028)
Pageviews;Blogged0.78790.76590.59
p-value(0)(0)(0)
Pageviews;Reviewed0.67140.62590.4706
p-value(0)(0)(0)
Pageviews;characters0.69290.63530.4761
p-value(0)(0)(0)
Time;Logins0.7710.73880.5702
p-value(0)(0)(0)
Time;Views0.87870.85450.6807
p-value(0)(0)(0)
Time;Views(PR)0.60580.64970.4816
p-value(0)(0)(0)
Time;Shared0.08340.11540.0893
p-value(0.3204)(0.1683)(0.1616)
Time;Blogged0.78180.7590.5819
p-value(0)(0)(0)
Time;Reviewed0.680.58570.4342
p-value(0)(0)(0)
Time;characters0.69210.62280.469
p-value(0)(0)(0)
Logins;Views0.77410.76540.5967
p-value(0)(0)(0)
Logins;Views(PR)0.60570.64750.4822
p-value(0)(0)(0)
Logins;Shared0.08140.14720.1134
p-value(0.3321)(0.0782)(0.0768)
Logins;Blogged0.65240.69170.5184
p-value(0)(0)(0)
Logins;Reviewed0.55340.49790.3685
p-value(0)(0)(0)
Logins;characters0.61730.60940.4632
p-value(0)(0)(0)
Views;Views(PR)0.70260.73680.5607
p-value(0)(0)(0)
Views;Shared0.16390.20090.151
p-value(0.0496)(0.0157)(0.018)
Views;Blogged0.73870.70350.5306
p-value(0)(0)(0)
Views;Reviewed0.62720.56160.4139
p-value(0)(0)(0)
Views;characters0.64080.59720.4381
p-value(0)(0)(0)
Views(PR);Shared0.18840.16960.1306
p-value(0.0237)(0.0422)(0.0416)
Views(PR);Blogged0.57360.61620.4567
p-value(0)(0)(0)
Views(PR);Reviewed0.51440.49820.3695
p-value(0)(0)(0)
Views(PR);characters0.4380.46180.3296
p-value(0)(0)(0)
Shared;Blogged0.07590.10180.0738
p-value(0.3657)(0.2247)(0.2508)
Shared;Reviewed0.13670.04240.0328
p-value(0.1023)(0.6136)(0.6142)
Shared;characters0.13940.1210.0924
p-value(0.0956)(0.1485)(0.1484)
Blogged;Reviewed0.67220.5870.4369
p-value(0)(0)(0)
Blogged;characters0.6660.640.4779
p-value(0)(0)(0)
Reviewed;characters0.62060.57360.4297
p-value(0)(0)(0)



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')