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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 14 Dec 2011 08:58:40 -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/14/t1323871186yunvfwv0n9swwe2.htm/, Retrieved Wed, 01 May 2024 14:11:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154972, Retrieved Wed, 01 May 2024 14:11:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84
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] [] [2011-12-14 13:58:40] [38f0c551da22b29428835e369961555f] [Current]
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Dataseries X:
1418	210907	56	396	81	3	79	30	115	94
869	120982	56	297	55	4	58	28	109	103
1530	176508	54	559	50	12	60	38	146	93
2172	179321	89	967	125	2	108	30	116	103
901	123185	40	270	40	1	49	22	68	51
463	52746	25	143	37	3	0	26	101	70
3201	385534	92	1562	63	0	121	25	96	91
371	33170	18	109	44	0	1	18	67	22
1192	101645	63	371	88	0	20	11	44	38
1583	149061	44	656	66	5	43	26	100	93
1439	165446	33	511	57	0	69	25	93	60
1764	237213	84	655	74	0	78	38	140	123
1495	173326	88	465	49	7	86	44	166	148
1373	133131	55	525	52	7	44	30	99	90
2187	258873	60	885	88	3	104	40	139	124
1491	180083	66	497	36	9	63	34	130	70
4041	324799	154	1436	108	0	158	47	181	168
1706	230964	53	612	43	4	102	30	116	115
2152	236785	119	865	75	3	77	31	116	71
1036	135473	41	385	32	0	82	23	88	66
1882	202925	61	567	44	7	115	36	139	134
1929	215147	58	639	85	0	101	36	135	117
2242	344297	75	963	86	1	80	30	108	108
1220	153935	33	398	56	5	50	25	89	84
1289	132943	40	410	50	7	83	39	156	156
2515	174724	92	966	135	0	123	34	129	120
2147	174415	100	801	63	0	73	31	118	114
2352	225548	112	892	81	5	81	31	118	94
1638	223632	73	513	52	0	105	33	125	120
1222	124817	40	469	44	0	47	25	95	81
1812	221698	45	683	113	0	105	33	126	110
1677	210767	60	643	39	3	94	35	135	133
1579	170266	62	535	73	4	44	42	154	122
1731	260561	75	625	48	1	114	43	165	158
807	84853	31	264	33	4	38	30	113	109
2452	294424	77	992	59	2	107	33	127	124
829	101011	34	238	41	0	30	13	52	39
1940	215641	46	818	69	0	71	32	121	92
2662	325107	99	937	64	0	84	36	136	126
186	7176	17	70	1	0	0	0	0	0
1499	167542	66	507	59	2	59	28	108	70
865	106408	30	260	32	1	33	14	46	37
1793	96560	76	503	129	0	42	17	54	38
2527	265769	146	927	37	2	96	32	124	120
2747	269651	67	1269	31	10	106	30	115	93
1324	149112	56	537	65	6	56	35	128	95
2702	175824	107	910	107	0	57	20	80	77
1383	152871	58	532	74	5	59	28	97	90
1179	111665	34	345	54	4	39	28	104	80
2099	116408	61	918	76	1	34	39	59	31
4308	362301	119	1635	715	2	76	34	125	110
918	78800	42	330	57	2	20	26	82	66
1831	183167	66	557	66	0	91	39	149	138
3373	277965	89	1178	106	8	115	39	149	133
1713	150629	44	740	54	3	85	33	122	113
1438	168809	66	452	32	0	76	28	118	100
496	24188	24	218	20	0	8	4	12	7
2253	329267	259	764	71	8	79	39	144	140
744	65029	17	255	21	5	21	18	67	61
1161	101097	64	454	70	3	30	14	52	41
2352	218946	41	866	112	1	76	29	108	96
2144	244052	68	574	66	5	101	44	166	164
4691	341570	168	1276	190	1	94	21	80	78
1112	103597	43	379	66	1	27	16	60	49
2694	233328	132	825	165	5	92	28	107	102
1973	256462	105	798	56	0	123	35	127	124
1769	206161	71	663	61	12	75	28	107	99
3148	311473	112	1069	53	8	128	38	146	129
2474	235800	94	921	127	8	105	23	84	62
2084	177939	82	858	63	8	55	36	141	73
1954	207176	70	711	38	8	56	32	123	114
1226	196553	57	503	50	2	41	29	111	99
1389	174184	53	382	52	0	72	25	98	70
1496	143246	103	464	42	5	67	27	105	104
2269	187559	121	717	76	8	75	36	135	116
1833	187681	62	690	67	2	114	28	107	91
1268	119016	52	462	50	5	118	23	85	74
1943	182192	52	657	53	12	77	40	155	138
893	73566	32	385	39	6	22	23	88	67
1762	194979	62	577	50	7	66	40	155	151
1403	167488	45	619	77	2	69	28	104	72
1425	143756	46	479	57	0	105	34	132	120
1857	275541	63	817	73	4	116	33	127	115
1840	243199	75	752	34	3	88	28	108	105
1502	182999	88	430	39	6	73	34	129	104
1441	135649	46	451	46	2	99	30	116	108
1420	152299	53	537	63	0	62	33	122	98
1416	120221	37	519	35	1	53	22	85	69
2970	346485	90	1000	106	0	118	38	147	111
1317	145790	63	637	43	5	30	26	99	99
1644	193339	78	465	47	2	100	35	87	71
870	80953	25	437	31	0	49	8	28	27
1654	122774	45	711	162	0	24	24	90	69
1054	130585	46	299	57	5	67	29	109	107
937	112611	41	248	36	0	46	20	78	73
3004	286468	144	1162	263	1	57	29	111	107
2008	241066	82	714	78	0	75	45	158	93
2547	148446	91	905	63	1	135	37	141	129
1885	204713	71	649	54	1	68	33	122	69
1626	182079	63	512	63	2	124	33	124	118
1468	140344	53	472	77	6	33	25	93	73
2445	220516	62	905	79	1	98	32	124	119
1964	243060	63	786	110	4	58	29	112	104
1381	162765	32	489	56	2	68	28	108	107
1369	182613	39	479	56	3	81	28	99	99
1659	232138	62	617	43	0	131	31	117	90
2888	265318	117	925	111	10	110	52	199	197
1290	85574	34	351	71	0	37	21	78	36
2845	310839	92	1144	62	9	130	24	91	85
1982	225060	93	669	56	7	93	41	158	139
1904	232317	54	707	74	0	118	33	126	106
1391	144966	144	458	60	0	39	32	122	50
602	43287	14	214	43	4	13	19	71	64
1743	155754	61	599	68	4	74	20	75	31
1559	164709	109	572	53	0	81	31	115	63
2014	201940	38	897	87	0	109	31	119	92
2143	235454	73	819	46	0	151	32	124	106
2146	220801	75	720	105	1	51	18	72	63
874	99466	50	273	32	0	28	23	91	69
1590	92661	61	508	133	1	40	17	45	41
1590	133328	55	506	79	0	56	20	78	56
1210	61361	77	451	51	0	27	12	39	25
2072	125930	75	699	207	4	37	17	68	65
1281	100750	72	407	67	0	83	30	119	93
1401	224549	50	465	47	4	54	31	117	114
834	82316	32	245	34	4	27	10	39	38
1105	102010	53	370	66	3	28	13	50	44
1272	101523	42	316	76	0	59	22	88	87
1944	243511	71	603	65	0	133	42	155	110
391	22938	10	154	9	0	12	1	0	0
761	41566	35	229	42	5	0	9	36	27
1605	152474	65	577	45	0	106	32	123	83
530	61857	25	192	25	4	23	11	32	30
1988	99923	66	617	115	0	44	25	99	80
1386	132487	41	411	97	0	71	36	136	98
2395	317394	86	975	53	1	116	31	117	82
387	21054	16	146	2	0	4	0	0	0
1742	209641	42	705	52	5	62	24	88	60
620	22648	19	184	44	0	12	13	39	28
449	31414	19	200	22	0	18	8	25	9
800	46698	45	274	35	0	14	13	52	33
1684	131698	65	502	74	0	60	19	75	59
1050	91735	35	382	103	0	7	18	71	49
2699	244749	95	964	144	2	98	33	124	115
1606	184510	49	537	60	7	64	40	151	140
1502	79863	37	438	134	1	29	22	71	49
1204	128423	64	369	89	8	32	38	145	120
1138	97839	38	417	42	2	25	24	87	66
568	38214	34	276	52	0	16	8	27	21
1459	151101	32	514	98	2	48	35	131	124
2158	272458	65	822	99	0	100	43	162	152
1111	172494	52	389	52	0	46	43	165	139
1421	108043	62	466	29	1	45	14	54	38
2833	328107	65	1255	125	3	129	41	159	144
1955	250579	83	694	106	0	130	38	147	120
2922	351067	95	1024	95	3	136	45	170	160
1002	158015	29	400	40	0	59	31	119	114
1060	98866	18	397	140	0	25	13	49	39
956	85439	33	350	43	0	32	28	104	78
2186	229242	247	719	128	4	63	31	120	119
3604	351619	139	1277	142	4	95	40	150	141
1035	84207	29	356	73	11	14	30	112	101
1417	120445	118	457	72	0	36	16	59	56
3261	324598	110	1402	128	0	113	37	136	133
1587	131069	67	600	61	4	47	30	107	83
1424	204271	42	480	73	0	92	35	130	116
1701	165543	65	595	148	1	70	32	115	90
1249	141722	94	436	64	0	19	27	107	36
946	116048	64	230	45	0	50	20	75	50
1926	250047	81	651	58	0	41	18	71	61
3352	299775	95	1367	97	9	91	31	120	97
1641	195838	67	564	50	1	111	31	116	98
2035	173260	63	716	37	3	41	21	79	78
2312	254488	83	747	50	10	120	39	150	117
1369	104389	45	467	105	5	135	41	156	148
1577	136084	30	671	69	0	27	13	51	41
2201	199476	70	861	46	2	87	32	118	105
961	92499	32	319	57	0	25	18	71	55
1900	224330	83	612	52	1	131	39	144	132
1254	135781	31	433	98	2	45	14	47	44
1335	74408	67	434	61	4	29	7	28	21
1597	81240	66	503	89	0	58	17	68	50
207	14688	10	85	0	0	4	0	0	0
1645	181633	70	564	48	2	47	30	110	73
2429	271856	103	824	91	1	109	37	147	86
151	7199	5	74	0	0	7	0	0	0
474	46660	20	259	7	0	12	5	15	13
141	17547	5	69	3	0	0	1	4	4
1639	133368	36	535	54	1	37	16	64	57
872	95227	34	239	70	0	37	32	111	48
1318	152601	48	438	36	2	46	24	85	46
1018	98146	40	459	37	0	15	17	68	48
1383	79619	43	426	123	3	42	11	40	32
1314	59194	31	288	247	6	7	24	80	68
1335	139942	42	498	46	0	54	22	88	87
1403	118612	46	454	72	2	54	12	48	43
910	72880	33	376	41	0	14	19	76	67
616	65475	18	225	24	2	16	13	51	46
1407	99643	55	555	45	1	33	17	67	46
771	71965	35	252	33	1	32	15	59	56
766	77272	59	208	27	2	21	16	61	48
473	49289	19	130	36	1	15	24	76	44
1376	135131	66	481	87	0	38	15	60	60
1232	108446	60	389	90	1	22	17	68	65
1521	89746	36	565	114	3	28	18	71	55
572	44296	25	173	31	0	10	20	76	38
1059	77648	47	278	45	0	31	16	62	52
1544	181528	54	609	69	0	32	16	61	60
1230	134019	53	422	51	0	32	18	67	54
1206	124064	40	445	34	1	43	22	88	86
1205	92630	40	387	60	4	27	8	30	24
1255	121848	39	339	45	0	37	17	64	52
613	52915	14	181	54	0	20	18	68	49
721	81872	45	245	25	0	32	16	64	61
1109	58981	36	384	38	7	0	23	91	61
740	53515	28	212	52	2	5	22	88	81
1126	60812	44	399	67	0	26	13	52	43
728	56375	30	229	74	7	10	13	49	40
689	65490	22	224	38	3	27	16	62	40
592	80949	17	203	30	0	11	16	61	56
995	76302	31	333	26	0	29	20	76	68
1613	104011	55	384	67	6	25	22	88	79
2048	98104	54	636	132	2	55	17	66	47
705	67989	21	185	42	0	23	18	71	57
301	30989	14	93	35	0	5	17	68	41
1803	135458	81	581	118	3	43	12	48	29
799	73504	35	248	68	0	23	7	25	3
861	63123	43	304	43	1	34	17	68	60
1186	61254	46	344	76	1	36	14	41	30
1451	74914	30	407	64	0	35	23	90	79
628	31774	23	170	48	1	0	17	66	47
1161	81437	38	312	64	0	37	14	54	40
1463	87186	54	507	56	0	28	15	59	48
742	50090	20	224	71	0	16	17	60	36
979	65745	53	340	75	0	26	21	77	42
675	56653	45	168	39	0	38	18	68	49
1241	158399	39	443	42	0	23	18	72	57
676	46455	20	204	39	0	22	17	67	12
1049	73624	24	367	93	0	30	17	64	40
620	38395	31	210	38	0	16	16	63	43
1081	91899	35	335	60	0	18	15	59	33
1688	139526	151	364	71	0	28	21	84	77
736	52164	52	178	52	0	32	16	64	43
617	51567	30	206	27	2	21	14	56	45
812	70551	31	279	59	0	23	15	54	47
1051	84856	29	387	40	1	29	17	67	43
1656	102538	57	490	79	1	50	15	58	45
705	86678	40	238	44	0	12	15	59	50
945	85709	44	343	65	0	21	10	40	35
554	34662	25	232	10	0	18	6	22	7
1597	150580	77	530	124	0	27	22	83	71
982	99611	35	291	81	0	41	21	81	67
222	19349	11	67	15	0	13	1	2	0
1212	99373	63	397	92	1	12	18	72	62
1143	86230	44	467	42	0	21	17	61	54
435	30837	19	178	10	0	8	4	15	4
532	31706	13	175	24	0	26	10	32	25
882	89806	42	299	64	0	27	16	62	40
608	62088	38	154	45	1	13	16	58	38
459	40151	29	106	22	0	16	9	36	19
578	27634	20	189	56	0	2	16	59	17
826	76990	27	194	94	0	42	17	68	67
509	37460	20	135	19	0	5	7	21	14
717	54157	19	201	35	0	37	15	55	30
637	49862	37	207	32	0	17	14	54	54
857	84337	26	280	35	0	38	14	55	35
830	64175	42	260	48	0	37	18	72	59
652	59382	49	227	49	0	29	12	41	24
707	119308	30	239	48	0	32	16	61	58
954	76702	49	333	62	0	35	21	67	42
1461	103425	67	428	96	1	17	19	76	46
672	70344	28	230	45	0	20	16	64	61
778	43410	19	292	63	0	7	1	3	3
1141	104838	49	350	71	1	46	16	63	52
680	62215	27	186	26	0	24	10	40	25
1090	69304	30	326	48	6	40	19	69	40
616	53117	22	155	29	3	3	12	48	32
285	19764	12	75	19	1	10	2	8	4
1145	86680	31	361	45	2	37	14	52	49
733	84105	20	261	45	0	17	17	66	63
888	77945	20	299	67	0	28	19	76	67
849	89113	39	300	30	0	19	14	43	32
1182	91005	29	450	36	3	29	11	39	23
528	40248	16	183	34	1	8	4	14	7
642	64187	27	238	36	0	10	16	61	54
947	50857	21	165	34	0	15	20	71	37
819	56613	19	234	37	1	15	12	44	35
757	62792	35	176	46	0	28	15	60	51
894	72535	14	329	44	0	17	16	64	39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154972&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]4 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=154972&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154972&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Correlations for all pairs of data series (method=pearson)
pageviewstime_in_rfcloginscompendium_views_infocompendium_views_prshared_compendiumsblogged_computationscompendiums_reviewedfeedback_messages_p1feedback_messages_p120
pageviews10.8930.7590.9620.5630.2970.7610.6650.6640.671
time_in_rfc0.89310.7160.8930.390.2940.8310.7580.7640.769
logins0.7590.71610.6920.3880.250.5660.5490.5530.546
compendium_views_info0.9620.8930.69210.5190.2820.7490.6380.6320.641
compendium_views_pr0.5630.390.3880.51910.0640.2290.2630.2550.261
shared_compendiums0.2970.2940.250.2820.06410.2380.3890.3930.402
blogged_computations0.7610.8310.5660.7490.2290.23810.7620.7680.774
compendiums_reviewed0.6650.7580.5490.6380.2630.3890.76210.9840.918
feedback_messages_p10.6640.7640.5530.6320.2550.3930.7680.98410.94
feedback_messages_p1200.6710.7690.5460.6410.2610.4020.7740.9180.941

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_in_rfc & logins & compendium_views_info & compendium_views_pr & shared_compendiums & blogged_computations & compendiums_reviewed & feedback_messages_p1 & feedback_messages_p120 \tabularnewline
pageviews & 1 & 0.893 & 0.759 & 0.962 & 0.563 & 0.297 & 0.761 & 0.665 & 0.664 & 0.671 \tabularnewline
time_in_rfc & 0.893 & 1 & 0.716 & 0.893 & 0.39 & 0.294 & 0.831 & 0.758 & 0.764 & 0.769 \tabularnewline
logins & 0.759 & 0.716 & 1 & 0.692 & 0.388 & 0.25 & 0.566 & 0.549 & 0.553 & 0.546 \tabularnewline
compendium_views_info & 0.962 & 0.893 & 0.692 & 1 & 0.519 & 0.282 & 0.749 & 0.638 & 0.632 & 0.641 \tabularnewline
compendium_views_pr & 0.563 & 0.39 & 0.388 & 0.519 & 1 & 0.064 & 0.229 & 0.263 & 0.255 & 0.261 \tabularnewline
shared_compendiums & 0.297 & 0.294 & 0.25 & 0.282 & 0.064 & 1 & 0.238 & 0.389 & 0.393 & 0.402 \tabularnewline
blogged_computations & 0.761 & 0.831 & 0.566 & 0.749 & 0.229 & 0.238 & 1 & 0.762 & 0.768 & 0.774 \tabularnewline
compendiums_reviewed & 0.665 & 0.758 & 0.549 & 0.638 & 0.263 & 0.389 & 0.762 & 1 & 0.984 & 0.918 \tabularnewline
feedback_messages_p1 & 0.664 & 0.764 & 0.553 & 0.632 & 0.255 & 0.393 & 0.768 & 0.984 & 1 & 0.94 \tabularnewline
feedback_messages_p120 & 0.671 & 0.769 & 0.546 & 0.641 & 0.261 & 0.402 & 0.774 & 0.918 & 0.94 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154972&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_in_rfc[/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]shared_compendiums[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][C]feedback_messages_p120[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.893[/C][C]0.759[/C][C]0.962[/C][C]0.563[/C][C]0.297[/C][C]0.761[/C][C]0.665[/C][C]0.664[/C][C]0.671[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.893[/C][C]1[/C][C]0.716[/C][C]0.893[/C][C]0.39[/C][C]0.294[/C][C]0.831[/C][C]0.758[/C][C]0.764[/C][C]0.769[/C][/ROW]
[ROW][C]logins[/C][C]0.759[/C][C]0.716[/C][C]1[/C][C]0.692[/C][C]0.388[/C][C]0.25[/C][C]0.566[/C][C]0.549[/C][C]0.553[/C][C]0.546[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.962[/C][C]0.893[/C][C]0.692[/C][C]1[/C][C]0.519[/C][C]0.282[/C][C]0.749[/C][C]0.638[/C][C]0.632[/C][C]0.641[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.563[/C][C]0.39[/C][C]0.388[/C][C]0.519[/C][C]1[/C][C]0.064[/C][C]0.229[/C][C]0.263[/C][C]0.255[/C][C]0.261[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.297[/C][C]0.294[/C][C]0.25[/C][C]0.282[/C][C]0.064[/C][C]1[/C][C]0.238[/C][C]0.389[/C][C]0.393[/C][C]0.402[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.761[/C][C]0.831[/C][C]0.566[/C][C]0.749[/C][C]0.229[/C][C]0.238[/C][C]1[/C][C]0.762[/C][C]0.768[/C][C]0.774[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.665[/C][C]0.758[/C][C]0.549[/C][C]0.638[/C][C]0.263[/C][C]0.389[/C][C]0.762[/C][C]1[/C][C]0.984[/C][C]0.918[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.664[/C][C]0.764[/C][C]0.553[/C][C]0.632[/C][C]0.255[/C][C]0.393[/C][C]0.768[/C][C]0.984[/C][C]1[/C][C]0.94[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.671[/C][C]0.769[/C][C]0.546[/C][C]0.641[/C][C]0.261[/C][C]0.402[/C][C]0.774[/C][C]0.918[/C][C]0.94[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154972&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154972&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)
pageviewstime_in_rfcloginscompendium_views_infocompendium_views_prshared_compendiumsblogged_computationscompendiums_reviewedfeedback_messages_p1feedback_messages_p120
pageviews10.8930.7590.9620.5630.2970.7610.6650.6640.671
time_in_rfc0.89310.7160.8930.390.2940.8310.7580.7640.769
logins0.7590.71610.6920.3880.250.5660.5490.5530.546
compendium_views_info0.9620.8930.69210.5190.2820.7490.6380.6320.641
compendium_views_pr0.5630.390.3880.51910.0640.2290.2630.2550.261
shared_compendiums0.2970.2940.250.2820.06410.2380.3890.3930.402
blogged_computations0.7610.8310.5660.7490.2290.23810.7620.7680.774
compendiums_reviewed0.6650.7580.5490.6380.2630.3890.76210.9840.918
feedback_messages_p10.6640.7640.5530.6320.2550.3930.7680.98410.94
feedback_messages_p1200.6710.7690.5460.6410.2610.4020.7740.9180.941







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;time_in_rfc0.89280.90250.7387
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
p-value(0)(0)(0)
pageviews;compendium_views_info0.96250.96650.8489
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
p-value(0)(0)(0)
pageviews;shared_compendiums0.29720.3410.2511
p-value(0)(0)(0)
pageviews;blogged_computations0.76060.82490.6272
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;feedback_messages_p10.66430.71290.5187
p-value(0)(0)(0)
pageviews;feedback_messages_p1200.67130.71210.5211
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p10.76350.79660.5916
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;compendium_views_pr0.38820.52260.3788
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendiums_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;feedback_messages_p10.55260.62880.4486
p-value(0)(0)(0)
logins;feedback_messages_p1200.54620.61660.4437
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.51860.58490.4206
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.28210.33550.2476
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.63770.69870.5025
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p10.63250.6930.4942
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p1200.64140.69960.5037
p-value(0)(0)(0)
compendium_views_pr;shared_compendiums0.06390.12630.094
p-value(0.2787)(0.0319)(0.0308)
compendium_views_pr;blogged_computations0.22890.41730.2892
p-value(1e-04)(0)(0)
compendium_views_pr;compendiums_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p10.25470.38020.2682
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
shared_compendiums;blogged_computations0.2380.27590.2074
p-value(0)(0)(0)
shared_compendiums;compendiums_reviewed0.38950.35110.2616
p-value(0)(0)(0)
shared_compendiums;feedback_messages_p10.3930.34140.2537
p-value(0)(0)(0)
shared_compendiums;feedback_messages_p1200.40190.37530.278
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;feedback_messages_p10.76760.77670.573
p-value(0)(0)(0)
blogged_computations;feedback_messages_p1200.77390.77910.577
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p10.9840.98110.9389
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p1200.91820.90670.7707
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p1200.93960.93350.7989
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_in_rfc & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7588 & 0.845 & 0.6609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_info & 0.9625 & 0.9665 & 0.8489 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_pr & 0.5633 & 0.6332 & 0.4628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;shared_compendiums & 0.2972 & 0.341 & 0.2511 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;blogged_computations & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendiums_reviewed & 0.6652 & 0.7185 & 0.5273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;feedback_messages_p1 & 0.6643 & 0.7129 & 0.5187 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;feedback_messages_p120 & 0.6713 & 0.7121 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8925 & 0.8995 & 0.726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;shared_compendiums & 0.2941 & 0.3296 & 0.2453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;blogged_computations & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p1 & 0.7635 & 0.7966 & 0.5916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p120 & 0.7689 & 0.8052 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_pr & 0.3882 & 0.5226 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;feedback_messages_p1 & 0.5526 & 0.6288 & 0.4486 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;feedback_messages_p120 & 0.5462 & 0.6166 & 0.4437 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_views_pr & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.2821 & 0.3355 & 0.2476 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;blogged_computations & 0.7489 & 0.8051 & 0.6045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendiums_reviewed & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;feedback_messages_p1 & 0.6325 & 0.693 & 0.4942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;feedback_messages_p120 & 0.6414 & 0.6996 & 0.5037 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;shared_compendiums & 0.0639 & 0.1263 & 0.094 \tabularnewline
p-value & (0.2787) & (0.0319) & (0.0308) \tabularnewline
compendium_views_pr;blogged_computations & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p1 & 0.2547 & 0.3802 & 0.2682 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p120 & 0.2612 & 0.3762 & 0.2653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;blogged_computations & 0.238 & 0.2759 & 0.2074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;compendiums_reviewed & 0.3895 & 0.3511 & 0.2616 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;feedback_messages_p1 & 0.393 & 0.3414 & 0.2537 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;feedback_messages_p120 & 0.4019 & 0.3753 & 0.278 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendiums_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p1 & 0.7676 & 0.7767 & 0.573 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p120 & 0.7739 & 0.7791 & 0.577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p1 & 0.984 & 0.9811 & 0.9389 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p120 & 0.9182 & 0.9067 & 0.7707 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;feedback_messages_p120 & 0.9396 & 0.9335 & 0.7989 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154972&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_in_rfc[/C][C]0.8928[/C][C]0.9025[/C][C]0.7387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7588[/C][C]0.845[/C][C]0.6609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_info[/C][C]0.9625[/C][C]0.9665[/C][C]0.8489[/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]0.5633[/C][C]0.6332[/C][C]0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;shared_compendiums[/C][C]0.2972[/C][C]0.341[/C][C]0.2511[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.7606[/C][C]0.8249[/C][C]0.6272[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendiums_reviewed[/C][C]0.6652[/C][C]0.7185[/C][C]0.5273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;feedback_messages_p1[/C][C]0.6643[/C][C]0.7129[/C][C]0.5187[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;feedback_messages_p120[/C][C]0.6713[/C][C]0.7121[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;logins[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_info[/C][C]0.8925[/C][C]0.8995[/C][C]0.726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_pr[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;shared_compendiums[/C][C]0.2941[/C][C]0.3296[/C][C]0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_computations[/C][C]0.8309[/C][C]0.8717[/C][C]0.683[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendiums_reviewed[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;feedback_messages_p1[/C][C]0.7635[/C][C]0.7966[/C][C]0.5916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;feedback_messages_p120[/C][C]0.7689[/C][C]0.8052[/C][C]0.6046[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/C][C]0.6919[/C][C]0.8018[/C][C]0.6142[/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]0.3882[/C][C]0.5226[/C][C]0.3788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]0.2505[/C][C]0.2795[/C][C]0.2078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.5661[/C][C]0.7178[/C][C]0.523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;feedback_messages_p1[/C][C]0.5526[/C][C]0.6288[/C][C]0.4486[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;feedback_messages_p120[/C][C]0.5462[/C][C]0.6166[/C][C]0.4437[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/C][C]0.5186[/C][C]0.5849[/C][C]0.4206[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;shared_compendiums[/C][C]0.2821[/C][C]0.3355[/C][C]0.2476[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.7489[/C][C]0.8051[/C][C]0.6045[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendiums_reviewed[/C][C]0.6377[/C][C]0.6987[/C][C]0.5025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p1[/C][C]0.6325[/C][C]0.693[/C][C]0.4942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p120[/C][C]0.6414[/C][C]0.6996[/C][C]0.5037[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]0.0639[/C][C]0.1263[/C][C]0.094[/C][/ROW]
[ROW][C]p-value[/C][C](0.2787)[/C][C](0.0319)[/C][C](0.0308)[/C][/ROW]
[ROW][C]compendium_views_pr;blogged_computations[/C][C]0.2289[/C][C]0.4173[/C][C]0.2892[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;compendiums_reviewed[/C][C]0.2633[/C][C]0.3939[/C][C]0.2823[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p1[/C][C]0.2547[/C][C]0.3802[/C][C]0.2682[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p120[/C][C]0.2612[/C][C]0.3762[/C][C]0.2653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]0.238[/C][C]0.2759[/C][C]0.2074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;compendiums_reviewed[/C][C]0.3895[/C][C]0.3511[/C][C]0.2616[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;feedback_messages_p1[/C][C]0.393[/C][C]0.3414[/C][C]0.2537[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;feedback_messages_p120[/C][C]0.4019[/C][C]0.3753[/C][C]0.278[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendiums_reviewed[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p1[/C][C]0.7676[/C][C]0.7767[/C][C]0.573[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p120[/C][C]0.7739[/C][C]0.7791[/C][C]0.577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;feedback_messages_p1[/C][C]0.984[/C][C]0.9811[/C][C]0.9389[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;feedback_messages_p120[/C][C]0.9182[/C][C]0.9067[/C][C]0.7707[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;feedback_messages_p120[/C][C]0.9396[/C][C]0.9335[/C][C]0.7989[/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=154972&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154972&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;time_in_rfc0.89280.90250.7387
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
p-value(0)(0)(0)
pageviews;compendium_views_info0.96250.96650.8489
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
p-value(0)(0)(0)
pageviews;shared_compendiums0.29720.3410.2511
p-value(0)(0)(0)
pageviews;blogged_computations0.76060.82490.6272
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;feedback_messages_p10.66430.71290.5187
p-value(0)(0)(0)
pageviews;feedback_messages_p1200.67130.71210.5211
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p10.76350.79660.5916
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;compendium_views_pr0.38820.52260.3788
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendiums_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;feedback_messages_p10.55260.62880.4486
p-value(0)(0)(0)
logins;feedback_messages_p1200.54620.61660.4437
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.51860.58490.4206
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.28210.33550.2476
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.63770.69870.5025
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p10.63250.6930.4942
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p1200.64140.69960.5037
p-value(0)(0)(0)
compendium_views_pr;shared_compendiums0.06390.12630.094
p-value(0.2787)(0.0319)(0.0308)
compendium_views_pr;blogged_computations0.22890.41730.2892
p-value(1e-04)(0)(0)
compendium_views_pr;compendiums_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p10.25470.38020.2682
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
shared_compendiums;blogged_computations0.2380.27590.2074
p-value(0)(0)(0)
shared_compendiums;compendiums_reviewed0.38950.35110.2616
p-value(0)(0)(0)
shared_compendiums;feedback_messages_p10.3930.34140.2537
p-value(0)(0)(0)
shared_compendiums;feedback_messages_p1200.40190.37530.278
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;feedback_messages_p10.76760.77670.573
p-value(0)(0)(0)
blogged_computations;feedback_messages_p1200.77390.77910.577
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p10.9840.98110.9389
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p1200.91820.90670.7707
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p1200.93960.93350.7989
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')