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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 computationFri, 09 Dec 2011 06:46:17 -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/09/t1323431222smsijn0wb44rfgy.htm/, Retrieved Thu, 02 May 2024 18:48:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153272, Retrieved Thu, 02 May 2024 18:48:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [WS 10 pearson cor...] [2011-12-09 11:46:17] [7e9b6bd31a62815918579b1facd0f368] [Current]
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Dataseries X:
1587	252101	62	438	85	3	92	34
951	134577	59	330	58	4	58	30
1669	198520	62	609	51	14	62	38
2283	189326	94	1015	131	2	108	34
992	137449	43	294	44	1	55	25
577	65295	27	164	42	3	8	31
3916	439387	103	1912	94	0	134	29
381	33186	19	111	46	0	1	18
1790	178368	51	698	71	5	64	30
1606	186657	38	556	65	0	77	29
1886	261949	96	711	74	0	86	38
1645	191051	95	495	55	7	93	49
1433	138866	57	544	55	7	44	33
2370	296878	66	959	98	3	106	46
1645	192648	72	540	41	9	63	38
4206	333462	162	1486	115	0	160	52
1780	243571	58	635	45	4	104	32
2352	263451	130	940	80	3	86	35
1262	155679	48	452	37	3	93	25
2026	227053	70	617	50	7	119	42
2109	240028	63	695	93	0	107	40
2451	388549	90	1046	93	1	86	35
1253	156540	34	405	56	5	50	25
1431	148421	43	477	57	9	92	46
2631	177732	97	1012	138	0	123	36
2293	191441	105	842	67	0	81	35
2653	249893	122	994	88	5	93	38
1709	236812	76	530	54	0	113	35
1360	142329	45	515	47	0	52	28
2051	259667	53	766	121	0	113	37
1921	231625	65	734	44	3	112	40
1623	176062	67	551	73	4	44	42
1933	286683	79	718	49	1	123	44
849	87485	33	280	36	4	38	33
2641	322865	83	1055	61	2	111	35
2235	247082	51	950	77	0	77	37
2943	344092	104	1035	69	0	92	39
1666	191653	74	552	63	2	74	32
917	114673	31	275	36	1	33	17
2745	284224	161	986	39	2	105	34
2897	284195	72	1336	34	10	108	33
1413	155363	59	565	65	6	66	35
1535	177306	67	571	78	5	69	32
1452	144571	49	404	67	5	62	35
2369	140319	73	985	82	1	50	45
4908	405267	135	1851	780	2	91	38
918	78800	42	330	57	2	20	26
2085	201970	69	611	72	0	101	45
3655	302674	99	1249	112	9	129	44
1923	164733	50	812	61	3	93	40
1616	194221	68	501	39	0	89	33
496	24188	24	218	20	0	8	4
2328	342263	279	785	73	8	79	41
744	65029	17	255	21	5	21	18
1161	101097	64	454	70	3	30	14
2598	246088	46	944	118	1	86	33
2276	273108	75	600	72	5	116	49
3185	282220	160	977	196	5	106	32
2135	273495	119	863	58	0	127	37
1863	214872	74	690	67	12	75	32
3523	335121	123	1176	60	9	138	41
2760	267171	106	1013	138	11	114	25
2187	187938	88	890	69	9	55	40
2161	229512	78	777	45	8	67	35
1302	209798	61	521	54	2	45	33
1540	201345	60	409	55	0	88	28
1617	163833	113	493	46	6	67	31
2403	204250	129	757	84	8	75	40
1961	197813	67	736	71	2	114	32
1402	132955	60	511	56	5	123	25
2292	216092	59	789	55	13	86	42
893	73566	32	385	39	6	22	23
1935	213198	67	644	52	7	67	42
1586	181713	49	664	94	2	77	38
1494	148698	49	505	57	0	105	34
1995	300103	70	878	82	4	119	38
1904	251437	78	769	42	3	88	32
1711	197295	101	499	45	6	78	37
1746	158163	55	546	52	2	112	34
1473	155529	57	551	63	0	66	33
1538	132672	41	565	38	1	58	25
3324	377205	100	1086	108	0	132	40
1356	145905	66	649	45	5	30	26
1931	223701	86	540	53	2	100	40
870	80953	25	437	31	0	49	8
1716	130805	47	732	169	0	26	27
1091	135082	48	308	60	5	67	32
3182	300170	154	1236	271	1	57	33
2240	271806	95	783	84	0	95	50
2677	150949	96	933	63	1	139	37
2038	225805	79	710	54	1	73	33
1782	197389	67	563	65	2	134	34
1560	156583	56	508	80	6	37	28
2540	222599	66	936	84	1	98	32
2118	261601	70	838	115	4	58	32
1521	178489	35	523	60	3	78	32
1460	200657	43	500	62	3	88	31
1865	259084	67	691	57	0	142	35
3312	313075	130	1060	121	11	127	58
3135	346933	100	1232	69	12	139	27
2232	246440	104	735	60	8	108	45
2061	252444	58	757	81	0	128	37
1787	159965	159	574	100	0	62	32
602	43287	14	214	43	4	13	19
1973	172239	68	661	72	4	89	22
1735	181897	119	630	61	0	83	35
2282	227681	43	1015	101	0	116	36
2339	260464	81	893	50	0	157	36
923	106288	54	293	32	0	28	23
1388	109632	76	446	74	0	83	36
1673	268905	58	538	54	4	72	36
2082	266805	78	627	65	0	134	42
398	23623	11	156	9	0	12	1
1605	152474	65	577	45	0	106	32
530	61857	25	192	25	4	23	11
1503	144889	43	437	102	0	83	40
2636	346600	99	1054	59	1	126	34
387	21054	16	146	2	0	4	0
1849	224051	45	751	56	5	71	27
449	31414	19	200	22	0	18	8
2912	261043	105	1050	146	2	98	35
1740	197819	57	590	63	7	66	41
1401	154984	73	430	91	12	44	40
1257	112933	45	467	46	2	29	28
568	38214	34	276	52	0	16	8
1512	158671	33	528	98	2	56	35
2379	302148	70	898	105	0	112	47
1180	177918	55	411	57	0	46	46
3071	350552	70	1362	126	3	129	42
2186	275578	91	743	120	0	139	48
3062	366217	105	1068	104	3	136	49
1127	172464	31	431	44	0	66	35
1045	94381	35	380	48	0	42	32
2418	243875	278	788	143	4	70	36
3839	382487	153	1367	146	4	97	42
1427	114525	40	449	91	14	49	35
3406	335681	119	1461	129	0	113	37
1730	147989	72	651	67	4	55	34
1506	216638	44	494	74	0	100	36
1907	192862	72	667	168	1	80	36
1552	184818	107	510	69	0	29	32
3611	336707	105	1472	99	9	95	33
1925	215836	76	675	61	1	114	35
2035	173260	63	716	37	3	41	21
2503	271773	89	814	51	10	128	40
1603	130908	52	556	121	5	142	49
2272	204009	75	887	48	2	88	33
2086	245514	92	663	52	1	147	39
2	1	0	0	0	9	0	0
207	14688	10	85	0	0	4	0
5	98	1	0	0	0	0	0
8	455	2	0	0	0	0	0
0	0	0	0	0	1	0	0
0	0	0	0	0	0	0	0
1777	195765	75	607	51	2	56	33
2781	326038	121	934	98	1	121	42
0	0	0	0	0	0	0	0
4	203	4	0	0	0	0	0
151	7199	5	74	0	0	7	0
474	46660	20	259	7	0	12	5
141	17547	5	69	3	0	0	1
976	107465	38	267	80	0	37	38
29	969	2	0	0	0	0	0
1542	173102	58	517	43	2	47	28




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153272&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153272&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153272&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Correlations for all pairs of data series (method=pearson)
PageviewsTimeLoginsCourse_compendium_viewsCompendium_views_PRCompendiums_sharedBlogsReviews
Pageviews10.9150.740.9680.6040.2030.7750.711
Time0.91510.7080.8850.480.1640.8040.739
Logins0.740.70810.6680.4260.190.5420.58
Course_compendium_views0.9680.8850.66810.5830.1590.7170.619
Compendium_views_PR0.6040.480.4260.58310.020.2990.366
Compendiums_shared0.2030.1640.190.1590.0210.0890.249
Blogs0.7750.8040.5420.7170.2990.08910.737
Reviews0.7110.7390.580.6190.3660.2490.7371

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Pageviews & Time & Logins & Course_compendium_views & Compendium_views_PR & Compendiums_shared & Blogs & Reviews \tabularnewline
Pageviews & 1 & 0.915 & 0.74 & 0.968 & 0.604 & 0.203 & 0.775 & 0.711 \tabularnewline
Time & 0.915 & 1 & 0.708 & 0.885 & 0.48 & 0.164 & 0.804 & 0.739 \tabularnewline
Logins & 0.74 & 0.708 & 1 & 0.668 & 0.426 & 0.19 & 0.542 & 0.58 \tabularnewline
Course_compendium_views & 0.968 & 0.885 & 0.668 & 1 & 0.583 & 0.159 & 0.717 & 0.619 \tabularnewline
Compendium_views_PR & 0.604 & 0.48 & 0.426 & 0.583 & 1 & 0.02 & 0.299 & 0.366 \tabularnewline
Compendiums_shared & 0.203 & 0.164 & 0.19 & 0.159 & 0.02 & 1 & 0.089 & 0.249 \tabularnewline
Blogs & 0.775 & 0.804 & 0.542 & 0.717 & 0.299 & 0.089 & 1 & 0.737 \tabularnewline
Reviews & 0.711 & 0.739 & 0.58 & 0.619 & 0.366 & 0.249 & 0.737 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153272&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Pageviews[/C][C]Time[/C][C]Logins[/C][C]Course_compendium_views[/C][C]Compendium_views_PR[/C][C]Compendiums_shared[/C][C]Blogs[/C][C]Reviews[/C][/ROW]
[ROW][C]Pageviews[/C][C]1[/C][C]0.915[/C][C]0.74[/C][C]0.968[/C][C]0.604[/C][C]0.203[/C][C]0.775[/C][C]0.711[/C][/ROW]
[ROW][C]Time[/C][C]0.915[/C][C]1[/C][C]0.708[/C][C]0.885[/C][C]0.48[/C][C]0.164[/C][C]0.804[/C][C]0.739[/C][/ROW]
[ROW][C]Logins[/C][C]0.74[/C][C]0.708[/C][C]1[/C][C]0.668[/C][C]0.426[/C][C]0.19[/C][C]0.542[/C][C]0.58[/C][/ROW]
[ROW][C]Course_compendium_views[/C][C]0.968[/C][C]0.885[/C][C]0.668[/C][C]1[/C][C]0.583[/C][C]0.159[/C][C]0.717[/C][C]0.619[/C][/ROW]
[ROW][C]Compendium_views_PR[/C][C]0.604[/C][C]0.48[/C][C]0.426[/C][C]0.583[/C][C]1[/C][C]0.02[/C][C]0.299[/C][C]0.366[/C][/ROW]
[ROW][C]Compendiums_shared[/C][C]0.203[/C][C]0.164[/C][C]0.19[/C][C]0.159[/C][C]0.02[/C][C]1[/C][C]0.089[/C][C]0.249[/C][/ROW]
[ROW][C]Blogs[/C][C]0.775[/C][C]0.804[/C][C]0.542[/C][C]0.717[/C][C]0.299[/C][C]0.089[/C][C]1[/C][C]0.737[/C][/ROW]
[ROW][C]Reviews[/C][C]0.711[/C][C]0.739[/C][C]0.58[/C][C]0.619[/C][C]0.366[/C][C]0.249[/C][C]0.737[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153272&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153272&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)
PageviewsTimeLoginsCourse_compendium_viewsCompendium_views_PRCompendiums_sharedBlogsReviews
Pageviews10.9150.740.9680.6040.2030.7750.711
Time0.91510.7080.8850.480.1640.8040.739
Logins0.740.70810.6680.4260.190.5420.58
Course_compendium_views0.9680.8850.66810.5830.1590.7170.619
Compendium_views_PR0.6040.480.4260.58310.020.2990.366
Compendiums_shared0.2030.1640.190.1590.0210.0890.249
Blogs0.7750.8040.5420.7170.2990.08910.737
Reviews0.7110.7390.580.6190.3660.2490.7371







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Pageviews;Time0.91550.89370.7452
p-value(0)(0)(0)
Pageviews;Logins0.73970.83450.6663
p-value(0)(0)(0)
Pageviews;Course_compendium_views0.96760.96660.8523
p-value(0)(0)(0)
Pageviews;Compendium_views_PR0.60350.6660.5037
p-value(0)(0)(0)
Pageviews;Compendiums_shared0.20260.19030.1372
p-value(0.0093)(0.0147)(0.0147)
Pageviews;Blogs0.7750.76710.5925
p-value(0)(0)(0)
Pageviews;Reviews0.71080.62990.4764
p-value(0)(0)(0)
Time;Logins0.70770.77460.5978
p-value(0)(0)(0)
Time;Course_compendium_views0.88490.85810.6965
p-value(0)(0)(0)
Time;Compendium_views_PR0.47980.58260.4242
p-value(0)(0)(0)
Time;Compendiums_shared0.16430.16590.1194
p-value(0.0356)(0.0337)(0.0337)
Time;Blogs0.80360.77520.6091
p-value(0)(0)(0)
Time;Reviews0.73910.6360.4842
p-value(0)(0)(0)
Logins;Course_compendium_views0.66770.77640.6072
p-value(0)(0)(0)
Logins;Compendium_views_PR0.42620.56210.4151
p-value(0)(0)(0)
Logins;Compendiums_shared0.19010.21060.1494
p-value(0.0147)(0.0068)(0.0081)
Logins;Blogs0.54180.63960.4734
p-value(0)(0)(0)
Logins;Reviews0.57970.58130.4332
p-value(0)(0)(0)
Course_compendium_views;Compendium_views_PR0.58290.66110.4934
p-value(0)(0)(0)
Course_compendium_views;Compendiums_shared0.15870.17790.127
p-value(0.0424)(0.0227)(0.0241)
Course_compendium_views;Blogs0.71720.72230.5506
p-value(0)(0)(0)
Course_compendium_views;Reviews0.61920.56790.4192
p-value(0)(0)(0)
Compendium_views_PR;Compendiums_shared0.02030.08280.0601
p-value(0.7966)(0.2917)(0.2882)
Compendium_views_PR;Blogs0.29940.51090.3699
p-value(1e-04)(0)(0)
Compendium_views_PR;Reviews0.36560.56370.4223
p-value(0)(0)(0)
Compendiums_shared;Blogs0.08930.0720.0504
p-value(0.2557)(0.3594)(0.372)
Compendiums_shared;Reviews0.24860.17970.1266
p-value(0.0013)(0.0213)(0.0273)
Blogs;Reviews0.73670.63950.4888
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 & 0.9155 & 0.8937 & 0.7452 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Logins & 0.7397 & 0.8345 & 0.6663 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Course_compendium_views & 0.9676 & 0.9666 & 0.8523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Compendium_views_PR & 0.6035 & 0.666 & 0.5037 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Compendiums_shared & 0.2026 & 0.1903 & 0.1372 \tabularnewline
p-value & (0.0093) & (0.0147) & (0.0147) \tabularnewline
Pageviews;Blogs & 0.775 & 0.7671 & 0.5925 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Reviews & 0.7108 & 0.6299 & 0.4764 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Logins & 0.7077 & 0.7746 & 0.5978 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Course_compendium_views & 0.8849 & 0.8581 & 0.6965 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Compendium_views_PR & 0.4798 & 0.5826 & 0.4242 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Compendiums_shared & 0.1643 & 0.1659 & 0.1194 \tabularnewline
p-value & (0.0356) & (0.0337) & (0.0337) \tabularnewline
Time;Blogs & 0.8036 & 0.7752 & 0.6091 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Reviews & 0.7391 & 0.636 & 0.4842 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Course_compendium_views & 0.6677 & 0.7764 & 0.6072 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendium_views_PR & 0.4262 & 0.5621 & 0.4151 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendiums_shared & 0.1901 & 0.2106 & 0.1494 \tabularnewline
p-value & (0.0147) & (0.0068) & (0.0081) \tabularnewline
Logins;Blogs & 0.5418 & 0.6396 & 0.4734 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Reviews & 0.5797 & 0.5813 & 0.4332 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_compendium_views;Compendium_views_PR & 0.5829 & 0.6611 & 0.4934 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_compendium_views;Compendiums_shared & 0.1587 & 0.1779 & 0.127 \tabularnewline
p-value & (0.0424) & (0.0227) & (0.0241) \tabularnewline
Course_compendium_views;Blogs & 0.7172 & 0.7223 & 0.5506 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_compendium_views;Reviews & 0.6192 & 0.5679 & 0.4192 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendium_views_PR;Compendiums_shared & 0.0203 & 0.0828 & 0.0601 \tabularnewline
p-value & (0.7966) & (0.2917) & (0.2882) \tabularnewline
Compendium_views_PR;Blogs & 0.2994 & 0.5109 & 0.3699 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Compendium_views_PR;Reviews & 0.3656 & 0.5637 & 0.4223 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_shared;Blogs & 0.0893 & 0.072 & 0.0504 \tabularnewline
p-value & (0.2557) & (0.3594) & (0.372) \tabularnewline
Compendiums_shared;Reviews & 0.2486 & 0.1797 & 0.1266 \tabularnewline
p-value & (0.0013) & (0.0213) & (0.0273) \tabularnewline
Blogs;Reviews & 0.7367 & 0.6395 & 0.4888 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153272&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]0.9155[/C][C]0.8937[/C][C]0.7452[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Logins[/C][C]0.7397[/C][C]0.8345[/C][C]0.6663[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Course_compendium_views[/C][C]0.9676[/C][C]0.9666[/C][C]0.8523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Compendium_views_PR[/C][C]0.6035[/C][C]0.666[/C][C]0.5037[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Compendiums_shared[/C][C]0.2026[/C][C]0.1903[/C][C]0.1372[/C][/ROW]
[ROW][C]p-value[/C][C](0.0093)[/C][C](0.0147)[/C][C](0.0147)[/C][/ROW]
[ROW][C]Pageviews;Blogs[/C][C]0.775[/C][C]0.7671[/C][C]0.5925[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Reviews[/C][C]0.7108[/C][C]0.6299[/C][C]0.4764[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Logins[/C][C]0.7077[/C][C]0.7746[/C][C]0.5978[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Course_compendium_views[/C][C]0.8849[/C][C]0.8581[/C][C]0.6965[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Compendium_views_PR[/C][C]0.4798[/C][C]0.5826[/C][C]0.4242[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Compendiums_shared[/C][C]0.1643[/C][C]0.1659[/C][C]0.1194[/C][/ROW]
[ROW][C]p-value[/C][C](0.0356)[/C][C](0.0337)[/C][C](0.0337)[/C][/ROW]
[ROW][C]Time;Blogs[/C][C]0.8036[/C][C]0.7752[/C][C]0.6091[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Reviews[/C][C]0.7391[/C][C]0.636[/C][C]0.4842[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Course_compendium_views[/C][C]0.6677[/C][C]0.7764[/C][C]0.6072[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendium_views_PR[/C][C]0.4262[/C][C]0.5621[/C][C]0.4151[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendiums_shared[/C][C]0.1901[/C][C]0.2106[/C][C]0.1494[/C][/ROW]
[ROW][C]p-value[/C][C](0.0147)[/C][C](0.0068)[/C][C](0.0081)[/C][/ROW]
[ROW][C]Logins;Blogs[/C][C]0.5418[/C][C]0.6396[/C][C]0.4734[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Reviews[/C][C]0.5797[/C][C]0.5813[/C][C]0.4332[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_compendium_views;Compendium_views_PR[/C][C]0.5829[/C][C]0.6611[/C][C]0.4934[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_compendium_views;Compendiums_shared[/C][C]0.1587[/C][C]0.1779[/C][C]0.127[/C][/ROW]
[ROW][C]p-value[/C][C](0.0424)[/C][C](0.0227)[/C][C](0.0241)[/C][/ROW]
[ROW][C]Course_compendium_views;Blogs[/C][C]0.7172[/C][C]0.7223[/C][C]0.5506[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_compendium_views;Reviews[/C][C]0.6192[/C][C]0.5679[/C][C]0.4192[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_views_PR;Compendiums_shared[/C][C]0.0203[/C][C]0.0828[/C][C]0.0601[/C][/ROW]
[ROW][C]p-value[/C][C](0.7966)[/C][C](0.2917)[/C][C](0.2882)[/C][/ROW]
[ROW][C]Compendium_views_PR;Blogs[/C][C]0.2994[/C][C]0.5109[/C][C]0.3699[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_views_PR;Reviews[/C][C]0.3656[/C][C]0.5637[/C][C]0.4223[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_shared;Blogs[/C][C]0.0893[/C][C]0.072[/C][C]0.0504[/C][/ROW]
[ROW][C]p-value[/C][C](0.2557)[/C][C](0.3594)[/C][C](0.372)[/C][/ROW]
[ROW][C]Compendiums_shared;Reviews[/C][C]0.2486[/C][C]0.1797[/C][C]0.1266[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0.0213)[/C][C](0.0273)[/C][/ROW]
[ROW][C]Blogs;Reviews[/C][C]0.7367[/C][C]0.6395[/C][C]0.4888[/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=153272&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153272&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;Time0.91550.89370.7452
p-value(0)(0)(0)
Pageviews;Logins0.73970.83450.6663
p-value(0)(0)(0)
Pageviews;Course_compendium_views0.96760.96660.8523
p-value(0)(0)(0)
Pageviews;Compendium_views_PR0.60350.6660.5037
p-value(0)(0)(0)
Pageviews;Compendiums_shared0.20260.19030.1372
p-value(0.0093)(0.0147)(0.0147)
Pageviews;Blogs0.7750.76710.5925
p-value(0)(0)(0)
Pageviews;Reviews0.71080.62990.4764
p-value(0)(0)(0)
Time;Logins0.70770.77460.5978
p-value(0)(0)(0)
Time;Course_compendium_views0.88490.85810.6965
p-value(0)(0)(0)
Time;Compendium_views_PR0.47980.58260.4242
p-value(0)(0)(0)
Time;Compendiums_shared0.16430.16590.1194
p-value(0.0356)(0.0337)(0.0337)
Time;Blogs0.80360.77520.6091
p-value(0)(0)(0)
Time;Reviews0.73910.6360.4842
p-value(0)(0)(0)
Logins;Course_compendium_views0.66770.77640.6072
p-value(0)(0)(0)
Logins;Compendium_views_PR0.42620.56210.4151
p-value(0)(0)(0)
Logins;Compendiums_shared0.19010.21060.1494
p-value(0.0147)(0.0068)(0.0081)
Logins;Blogs0.54180.63960.4734
p-value(0)(0)(0)
Logins;Reviews0.57970.58130.4332
p-value(0)(0)(0)
Course_compendium_views;Compendium_views_PR0.58290.66110.4934
p-value(0)(0)(0)
Course_compendium_views;Compendiums_shared0.15870.17790.127
p-value(0.0424)(0.0227)(0.0241)
Course_compendium_views;Blogs0.71720.72230.5506
p-value(0)(0)(0)
Course_compendium_views;Reviews0.61920.56790.4192
p-value(0)(0)(0)
Compendium_views_PR;Compendiums_shared0.02030.08280.0601
p-value(0.7966)(0.2917)(0.2882)
Compendium_views_PR;Blogs0.29940.51090.3699
p-value(1e-04)(0)(0)
Compendium_views_PR;Reviews0.36560.56370.4223
p-value(0)(0)(0)
Compendiums_shared;Blogs0.08930.0720.0504
p-value(0.2557)(0.3594)(0.372)
Compendiums_shared;Reviews0.24860.17970.1266
p-value(0.0013)(0.0213)(0.0273)
Blogs;Reviews0.73670.63950.4888
p-value(0)(0)(0)



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')