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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 computationFri, 16 Dec 2011 06:40:14 -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/16/t1324035664y9x2skukol3fvhz.htm/, Retrieved Sun, 05 May 2024 14:33:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155821, Retrieved Sun, 05 May 2024 14:33:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73
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] [paper- pearson co...] [2011-12-16 11:38:59] [7e261c986c934df955dd3ac53e9d45c6]
-           [Kendall tau Correlation Matrix] [paper - kendall tau] [2011-12-16 11:40:14] [13dfa60174f50d862e8699db2153bfc5] [Current]
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Dataseries X:
1418	210907	396	81	79	30	115	94	112285	146283	144
869	120982	297	55	58	28	109	103	84786	98364	103
1530	176508	559	50	60	38	146	93	83123	86146	98
2172	179321	967	125	108	30	116	103	101193	96933	135
901	123185	270	40	49	22	68	51	38361	79234	61
463	52746	143	37	0	26	101	70	68504	42551	39
3201	385534	1562	63	121	25	96	91	119182	195663	150
371	33170	109	44	1	18	67	22	22807	6853	5
1192	101645	371	88	20	11	44	38	17140	21529	28
1583	149061	656	66	43	26	100	93	116174	95757	84
1439	165446	511	57	69	25	93	60	57635	85584	80
1764	237213	655	74	78	38	140	123	66198	143983	130
1495	173326	465	49	86	44	166	148	71701	75851	82
1373	133131	525	52	44	30	99	90	57793	59238	60
2187	258873	885	88	104	40	139	124	80444	93163	131
1491	180083	497	36	63	34	130	70	53855	96037	84
4041	324799	1436	108	158	47	181	168	97668	151511	140
1706	230964	612	43	102	30	116	115	133824	136368	151
2152	236785	865	75	77	31	116	71	101481	112642	91
1036	135473	385	32	82	23	88	66	99645	94728	138
1882	202925	567	44	115	36	139	134	114789	105499	150
1929	215147	639	85	101	36	135	117	99052	121527	124
2242	344297	963	86	80	30	108	108	67654	127766	119
1220	153935	398	56	50	25	89	84	65553	98958	73
1289	132943	410	50	83	39	156	156	97500	77900	110
2515	174724	966	135	123	34	129	120	69112	85646	123
2147	174415	801	63	73	31	118	114	82753	98579	90
2352	225548	892	81	81	31	118	94	85323	130767	116
1638	223632	513	52	105	33	125	120	72654	131741	113
1222	124817	469	44	47	25	95	81	30727	53907	56
1812	221698	683	113	105	33	126	110	77873	178812	115
1677	210767	643	39	94	35	135	133	117478	146761	119
1579	170266	535	73	44	42	154	122	74007	82036	129
1731	260561	625	48	114	43	165	158	90183	163253	127
807	84853	264	33	38	30	113	109	61542	27032	27
2452	294424	992	59	107	33	127	124	101494	171975	175
829	101011	238	41	30	13	52	39	27570	65990	35
1940	215641	818	69	71	32	121	92	55813	86572	64
2662	325107	937	64	84	36	136	126	79215	159676	96
186	7176	70	1	0	0	0	0	1423	1929	0
1499	167542	507	59	59	28	108	70	55461	85371	84
865	106408	260	32	33	14	46	37	31081	58391	41
1793	96560	503	129	42	17	54	38	22996	31580	47
2527	265769	927	37	96	32	124	120	83122	136815	126
2747	269651	1269	31	106	30	115	93	70106	120642	105
1324	149112	537	65	56	35	128	95	60578	69107	80
2702	175824	910	107	57	20	80	77	39992	50495	70
1383	152871	532	74	59	28	97	90	79892	108016	73
1179	111665	345	54	39	28	104	80	49810	46341	57
2099	116408	918	76	34	39	59	31	71570	78348	40
4308	362301	1635	715	76	34	125	110	100708	79336	68
918	78800	330	57	20	26	82	66	33032	56968	21
1831	183167	557	66	91	39	149	138	82875	93176	127
3373	277965	1178	106	115	39	149	133	139077	161632	154
1713	150629	740	54	85	33	122	113	71595	87850	116
1438	168809	452	32	76	28	118	100	72260	127969	102
496	24188	218	20	8	4	12	7	5950	15049	7
2253	329267	764	71	79	39	144	140	115762	155135	148
744	65029	255	21	21	18	67	61	32551	25109	21
1161	101097	454	70	30	14	52	41	31701	45824	35
2352	218946	866	112	76	29	108	96	80670	102996	112
2144	244052	574	66	101	44	166	164	143558	160604	137
4691	341570	1276	190	94	21	80	78	117105	158051	135
1112	103597	379	66	27	16	60	49	23789	44547	26
2694	233328	825	165	92	28	107	102	120733	162647	230
1973	256462	798	56	123	35	127	124	105195	174141	181
1769	206161	663	61	75	28	107	99	73107	60622	71
3148	311473	1069	53	128	38	146	129	132068	179566	147
2474	235800	921	127	105	23	84	62	149193	184301	190
2084	177939	858	63	55	36	141	73	46821	75661	64
1954	207176	711	38	56	32	123	114	87011	96144	105
1226	196553	503	50	41	29	111	99	95260	129847	107
1389	174184	382	52	72	25	98	70	55183	117286	94
1496	143246	464	42	67	27	105	104	106671	71180	116
2269	187559	717	76	75	36	135	116	73511	109377	106
1833	187681	690	67	114	28	107	91	92945	85298	143
1268	119016	462	50	118	23	85	74	78664	73631	81
1943	182192	657	53	77	40	155	138	70054	86767	89
893	73566	385	39	22	23	88	67	22618	23824	26
1762	194979	577	50	66	40	155	151	74011	93487	84
1403	167488	619	77	69	28	104	72	83737	82981	113
1425	143756	479	57	105	34	132	120	69094	73815	120
1857	275541	817	73	116	33	127	115	93133	94552	110
1840	243199	752	34	88	28	108	105	95536	132190	134
1502	182999	430	39	73	34	129	104	225920	128754	54
1441	135649	451	46	99	30	116	108	62133	66363	96
1420	152299	537	63	62	33	122	98	61370	67808	78
1416	120221	519	35	53	22	85	69	43836	61724	51
2970	346485	1000	106	118	38	147	111	106117	131722	121
1317	145790	637	43	30	26	99	99	38692	68580	38
1644	193339	465	47	100	35	87	71	84651	106175	145
870	80953	437	31	49	8	28	27	56622	55792	59
1654	122774	711	162	24	24	90	69	15986	25157	27
1054	130585	299	57	67	29	109	107	95364	76669	91
937	112611	248	36	46	20	78	73	26706	57283	48
3004	286468	1162	263	57	29	111	107	89691	105805	68
2008	241066	714	78	75	45	158	93	67267	129484	58
2547	148446	905	63	135	37	141	129	126846	72413	150
1885	204713	649	54	68	33	122	69	41140	87831	74
1626	182079	512	63	124	33	124	118	102860	96971	181
1468	140344	472	77	33	25	93	73	51715	71299	65
2445	220516	905	79	98	32	124	119	55801	77494	97
1964	243060	786	110	58	29	112	104	111813	120336	121
1381	162765	489	56	68	28	108	107	120293	93913	99
1369	182613	479	56	81	28	99	99	138599	136048	152
1659	232138	617	43	131	31	117	90	161647	181248	188
2888	265318	925	111	110	52	199	197	115929	146123	138
1290	85574	351	71	37	21	78	36	24266	32036	40
2845	310839	1144	62	130	24	91	85	162901	186646	254
1982	225060	669	56	93	41	158	139	109825	102255	87
1904	232317	707	74	118	33	126	106	129838	168237	178
1391	144966	458	60	39	32	122	50	37510	64219	51
602	43287	214	43	13	19	71	64	43750	19630	49
1743	155754	599	68	74	20	75	31	40652	76825	73
1559	164709	572	53	81	31	115	63	87771	115338	176
2014	201940	897	87	109	31	119	92	85872	109427	94
2143	235454	819	46	151	32	124	106	89275	118168	120
2146	220801	720	105	51	18	72	63	44418	84845	66
874	99466	273	32	28	23	91	69	192565	153197	56
1590	92661	508	133	40	17	45	41	35232	29877	39
1590	133328	506	79	56	20	78	56	40909	63506	66
1210	61361	451	51	27	12	39	25	13294	22445	27
2072	125930	699	207	37	17	68	65	32387	47695	65
1281	100750	407	67	83	30	119	93	140867	68370	58
1401	224549	465	47	54	31	117	114	120662	146304	98
834	82316	245	34	27	10	39	38	21233	38233	25
1105	102010	370	66	28	13	50	44	44332	42071	26
1272	101523	316	76	59	22	88	87	61056	50517	77
1944	243511	603	65	133	42	155	110	101338	103950	130
391	22938	154	9	12	1	0	0	1168	5841	11
761	41566	229	42	0	9	36	27	13497	2341	2
1605	152474	577	45	106	32	123	83	65567	84396	101
530	61857	192	25	23	11	32	30	25162	24610	31
1988	99923	617	115	44	25	99	80	32334	35753	36
1386	132487	411	97	71	36	136	98	40735	55515	120
2395	317394	975	53	116	31	117	82	91413	209056	195
387	21054	146	2	4	0	0	0	855	6622	4
1742	209641	705	52	62	24	88	60	97068	115814	89
620	22648	184	44	12	13	39	28	44339	11609	24
449	31414	200	22	18	8	25	9	14116	13155	39
800	46698	274	35	14	13	52	33	10288	18274	14
1684	131698	502	74	60	19	75	59	65622	72875	78
1050	91735	382	103	7	18	71	49	16563	10112	15
2699	244749	964	144	98	33	124	115	76643	142775	106
1606	184510	537	60	64	40	151	140	110681	68847	83
1502	79863	438	134	29	22	71	49	29011	17659	24
1204	128423	369	89	32	38	145	120	92696	20112	37
1138	97839	417	42	25	24	87	66	94785	61023	77
568	38214	276	52	16	8	27	21	8773	13983	16
1459	151101	514	98	48	35	131	124	83209	65176	56
2158	272458	822	99	100	43	162	152	93815	132432	132
1111	172494	389	52	46	43	165	139	86687	112494	144
1421	108043	466	29	45	14	54	38	34553	45109	40
2833	328107	1255	125	129	41	159	144	105547	170875	153
1955	250579	694	106	130	38	147	120	103487	180759	143
2922	351067	1024	95	136	45	170	160	213688	214921	220
1002	158015	400	40	59	31	119	114	71220	100226	79
1060	98866	397	140	25	13	49	39	23517	32043	50
956	85439	350	43	32	28	104	78	56926	54454	39
2186	229242	719	128	63	31	120	119	91721	78876	95
3604	351619	1277	142	95	40	150	141	115168	170745	169
1035	84207	356	73	14	30	112	101	111194	6940	12
1417	120445	457	72	36	16	59	56	51009	49025	63
3261	324598	1402	128	113	37	136	133	135777	122037	134
1587	131069	600	61	47	30	107	83	51513	53782	69
1424	204271	480	73	92	35	130	116	74163	127748	119
1701	165543	595	148	70	32	115	90	51633	86839	119
1249	141722	436	64	19	27	107	36	75345	44830	75
946	116048	230	45	50	20	75	50	33416	77395	63
1926	250047	651	58	41	18	71	61	83305	89324	55
3352	299775	1367	97	91	31	120	97	98952	103300	103
1641	195838	564	50	111	31	116	98	102372	112283	197
2035	173260	716	37	41	21	79	78	37238	10901	16
2312	254488	747	50	120	39	150	117	103772	120691	140
1369	104389	467	105	135	41	156	148	123969	58106	89
1577	136084	671	69	27	13	51	41	27142	57140	40
2201	199476	861	46	87	32	118	105	135400	122422	125
961	92499	319	57	25	18	71	55	21399	25899	21
1900	224330	612	52	131	39	144	132	130115	139296	167
1254	135781	433	98	45	14	47	44	24874	52678	32
1335	74408	434	61	29	7	28	21	34988	23853	36
1597	81240	503	89	58	17	68	50	45549	17306	13
207	14688	85	0	4	0	0	0	6023	7953	5
1645	181633	564	48	47	30	110	73	64466	89455	96
2429	271856	824	91	109	37	147	86	54990	147866	151
151	7199	74	0	7	0	0	0	1644	4245	6
474	46660	259	7	12	5	15	13	6179	21509	13
141	17547	69	3	0	1	4	4	3926	7670	3
1639	133368	535	54	37	16	64	57	32755	66675	57
872	95227	239	70	37	32	111	48	34777	14336	23
1318	152601	438	36	46	24	85	46	73224	53608	61
1018	98146	459	37	15	17	68	48	27114	30059	21
1383	79619	426	123	42	11	40	32	20760	29668	43
1314	59194	288	247	7	24	80	68	37636	22097	20
1335	139942	498	46	54	22	88	87	65461	96841	82
1403	118612	454	72	54	12	48	43	30080	41907	90
910	72880	376	41	14	19	76	67	24094	27080	25
616	65475	225	24	16	13	51	46	69008	35885	60
1407	99643	555	45	33	17	67	46	54968	41247	61
771	71965	252	33	32	15	59	56	46090	28313	85
766	77272	208	27	21	16	61	48	27507	36845	43
473	49289	130	36	15	24	76	44	10672	16548	25
1376	135131	481	87	38	15	60	60	34029	36134	41
1232	108446	389	90	22	17	68	65	46300	55764	26
1521	89746	565	114	28	18	71	55	24760	28910	38
572	44296	173	31	10	20	76	38	18779	13339	12
1059	77648	278	45	31	16	62	52	21280	25319	29
1544	181528	609	69	32	16	61	60	40662	66956	49
1230	134019	422	51	32	18	67	54	28987	47487	46
1206	124064	445	34	43	22	88	86	22827	52785	41
1205	92630	387	60	27	8	30	24	18513	44683	31
1255	121848	339	45	37	17	64	52	30594	35619	41
613	52915	181	54	20	18	68	49	24006	21920	26
721	81872	245	25	32	16	64	61	27913	45608	23
1109	58981	384	38	0	23	91	61	42744	7721	14
740	53515	212	52	5	22	88	81	12934	20634	16
1126	60812	399	67	26	13	52	43	22574	29788	25
728	56375	229	74	10	13	49	40	41385	31931	21
689	65490	224	38	27	16	62	40	18653	37754	32
592	80949	203	30	11	16	61	56	18472	32505	9
995	76302	333	26	29	20	76	68	30976	40557	35
1613	104011	384	67	25	22	88	79	63339	94238	42
2048	98104	636	132	55	17	66	47	25568	44197	68
705	67989	185	42	23	18	71	57	33747	43228	32
301	30989	93	35	5	17	68	41	4154	4103	6
1803	135458	581	118	43	12	48	29	19474	44144	68
799	73504	248	68	23	7	25	3	35130	32868	33
861	63123	304	43	34	17	68	60	39067	27640	84
1186	61254	344	76	36	14	41	30	13310	14063	46
1451	74914	407	64	35	23	90	79	65892	28990	30
628	31774	170	48	0	17	66	47	4143	4694	0
1161	81437	312	64	37	14	54	40	28579	42648	36
1463	87186	507	56	28	15	59	48	51776	64329	47
742	50090	224	71	16	17	60	36	21152	21928	20
979	65745	340	75	26	21	77	42	38084	25836	50
675	56653	168	39	38	18	68	49	27717	22779	30
1241	158399	443	42	23	18	72	57	32928	40820	30
676	46455	204	39	22	17	67	12	11342	27530	34
1049	73624	367	93	30	17	64	40	19499	32378	33
620	38395	210	38	16	16	63	43	16380	10824	34
1081	91899	335	60	18	15	59	33	36874	39613	37
1688	139526	364	71	28	21	84	77	48259	60865	83
736	52164	178	52	32	16	64	43	16734	19787	32
617	51567	206	27	21	14	56	45	28207	20107	30
812	70551	279	59	23	15	54	47	30143	36605	43
1051	84856	387	40	29	17	67	43	41369	40961	41
1656	102538	490	79	50	15	58	45	45833	48231	51
705	86678	238	44	12	15	59	50	29156	39725	19
945	85709	343	65	21	10	40	35	35944	21455	37
554	34662	232	10	18	6	22	7	36278	23430	33
1597	150580	530	124	27	22	83	71	45588	62991	41
982	99611	291	81	41	21	81	67	45097	49363	54
222	19349	67	15	13	1	2	0	3895	9604	14
1212	99373	397	92	12	18	72	62	28394	24552	25
1143	86230	467	42	21	17	61	54	18632	31493	25
435	30837	178	10	8	4	15	4	2325	3439	8
532	31706	175	24	26	10	32	25	25139	19555	26
882	89806	299	64	27	16	62	40	27975	21228	20
608	62088	154	45	13	16	58	38	14483	23177	11
459	40151	106	22	16	9	36	19	13127	22094	14
578	27634	189	56	2	16	59	17	5839	2342	3
826	76990	194	94	42	17	68	67	24069	38798	40
509	37460	135	19	5	7	21	14	3738	3255	5
717	54157	201	35	37	15	55	30	18625	24261	38
637	49862	207	32	17	14	54	54	36341	18511	32
857	84337	280	35	38	14	55	35	24548	40798	41
830	64175	260	48	37	18	72	59	21792	28893	46
652	59382	227	49	29	12	41	24	26263	21425	47
707	119308	239	48	32	16	61	58	23686	50276	37
954	76702	333	62	35	21	67	42	49303	37643	51
1461	103425	428	96	17	19	76	46	25659	30377	49
672	70344	230	45	20	16	64	61	28904	27126	21
778	43410	292	63	7	1	3	3	2781	13	1
1141	104838	350	71	46	16	63	52	29236	42097	44
680	62215	186	26	24	10	40	25	19546	24451	26
1090	69304	326	48	40	19	69	40	22818	14335	21
616	53117	155	29	3	12	48	32	32689	5084	4
285	19764	75	19	10	2	8	4	5752	9927	10
1145	86680	361	45	37	14	52	49	22197	43527	43
733	84105	261	45	17	17	66	63	20055	27184	34
888	77945	299	67	28	19	76	67	25272	21610	32
849	89113	300	30	19	14	43	32	82206	20484	20
1182	91005	450	36	29	11	39	23	32073	20156	34
528	40248	183	34	8	4	14	7	5444	6012	6
642	64187	238	36	10	16	61	54	20154	18475	12
947	50857	165	34	15	20	71	37	36944	12645	24
819	56613	234	37	15	12	44	35	8019	11017	16
757	62792	176	46	28	15	60	51	30884	37623	72
894	72535	329	44	17	16	64	39	19540	35873	27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'AstonUniversity' @ aston.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 7 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=155821&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=155821&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155821&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 time7 seconds
R Server'AstonUniversity' @ aston.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=kendall)
pageviewstime_in_rfccompendium_views_infocompendium_views_prblogged_computationscompendiums_reviewedfeedback_messages_p1feedback_messages_p120totsizetotsecondstothyperlinks
pageviews10.7390.8490.4630.6270.5270.5190.5210.5320.6030.584
time_in_rfc0.73910.7260.3440.6830.590.5920.6050.6170.7550.667
compendium_views_info0.8490.72610.4210.6040.5020.4940.5040.5210.5950.568
compendium_views_pr0.4630.3440.42110.2890.2820.2680.2650.2380.2530.272
blogged_computations0.6270.6830.6040.28910.5740.5730.5770.6060.6850.747
compendiums_reviewed0.5270.590.5020.2820.57410.9390.7710.5820.5540.557
feedback_messages_p10.5190.5920.4940.2680.5730.93910.7990.580.5540.556
feedback_messages_p1200.5210.6050.5040.2650.5770.7710.79910.6110.5790.568
totsize0.5320.6170.5210.2380.6060.5820.580.61110.6570.655
totseconds0.6030.7550.5950.2530.6850.5540.5540.5790.65710.734
tothyperlinks 0.5840.6670.5680.2720.7470.5570.5560.5680.6550.7341

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pageviews & time_in_rfc & compendium_views_info & compendium_views_pr & blogged_computations & compendiums_reviewed & feedback_messages_p1 & feedback_messages_p120 & totsize & totseconds & tothyperlinks
 \tabularnewline
pageviews & 1 & 0.739 & 0.849 & 0.463 & 0.627 & 0.527 & 0.519 & 0.521 & 0.532 & 0.603 & 0.584 \tabularnewline
time_in_rfc & 0.739 & 1 & 0.726 & 0.344 & 0.683 & 0.59 & 0.592 & 0.605 & 0.617 & 0.755 & 0.667 \tabularnewline
compendium_views_info & 0.849 & 0.726 & 1 & 0.421 & 0.604 & 0.502 & 0.494 & 0.504 & 0.521 & 0.595 & 0.568 \tabularnewline
compendium_views_pr & 0.463 & 0.344 & 0.421 & 1 & 0.289 & 0.282 & 0.268 & 0.265 & 0.238 & 0.253 & 0.272 \tabularnewline
blogged_computations & 0.627 & 0.683 & 0.604 & 0.289 & 1 & 0.574 & 0.573 & 0.577 & 0.606 & 0.685 & 0.747 \tabularnewline
compendiums_reviewed & 0.527 & 0.59 & 0.502 & 0.282 & 0.574 & 1 & 0.939 & 0.771 & 0.582 & 0.554 & 0.557 \tabularnewline
feedback_messages_p1 & 0.519 & 0.592 & 0.494 & 0.268 & 0.573 & 0.939 & 1 & 0.799 & 0.58 & 0.554 & 0.556 \tabularnewline
feedback_messages_p120 & 0.521 & 0.605 & 0.504 & 0.265 & 0.577 & 0.771 & 0.799 & 1 & 0.611 & 0.579 & 0.568 \tabularnewline
totsize & 0.532 & 0.617 & 0.521 & 0.238 & 0.606 & 0.582 & 0.58 & 0.611 & 1 & 0.657 & 0.655 \tabularnewline
totseconds & 0.603 & 0.755 & 0.595 & 0.253 & 0.685 & 0.554 & 0.554 & 0.579 & 0.657 & 1 & 0.734 \tabularnewline
tothyperlinks
 & 0.584 & 0.667 & 0.568 & 0.272 & 0.747 & 0.557 & 0.556 & 0.568 & 0.655 & 0.734 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155821&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_in_rfc[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][C]feedback_messages_p120[/C][C]totsize[/C][C]totseconds[/C][C]tothyperlinks
[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.739[/C][C]0.849[/C][C]0.463[/C][C]0.627[/C][C]0.527[/C][C]0.519[/C][C]0.521[/C][C]0.532[/C][C]0.603[/C][C]0.584[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.739[/C][C]1[/C][C]0.726[/C][C]0.344[/C][C]0.683[/C][C]0.59[/C][C]0.592[/C][C]0.605[/C][C]0.617[/C][C]0.755[/C][C]0.667[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.849[/C][C]0.726[/C][C]1[/C][C]0.421[/C][C]0.604[/C][C]0.502[/C][C]0.494[/C][C]0.504[/C][C]0.521[/C][C]0.595[/C][C]0.568[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.463[/C][C]0.344[/C][C]0.421[/C][C]1[/C][C]0.289[/C][C]0.282[/C][C]0.268[/C][C]0.265[/C][C]0.238[/C][C]0.253[/C][C]0.272[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.627[/C][C]0.683[/C][C]0.604[/C][C]0.289[/C][C]1[/C][C]0.574[/C][C]0.573[/C][C]0.577[/C][C]0.606[/C][C]0.685[/C][C]0.747[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.527[/C][C]0.59[/C][C]0.502[/C][C]0.282[/C][C]0.574[/C][C]1[/C][C]0.939[/C][C]0.771[/C][C]0.582[/C][C]0.554[/C][C]0.557[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.519[/C][C]0.592[/C][C]0.494[/C][C]0.268[/C][C]0.573[/C][C]0.939[/C][C]1[/C][C]0.799[/C][C]0.58[/C][C]0.554[/C][C]0.556[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.521[/C][C]0.605[/C][C]0.504[/C][C]0.265[/C][C]0.577[/C][C]0.771[/C][C]0.799[/C][C]1[/C][C]0.611[/C][C]0.579[/C][C]0.568[/C][/ROW]
[ROW][C]totsize[/C][C]0.532[/C][C]0.617[/C][C]0.521[/C][C]0.238[/C][C]0.606[/C][C]0.582[/C][C]0.58[/C][C]0.611[/C][C]1[/C][C]0.657[/C][C]0.655[/C][/ROW]
[ROW][C]totseconds[/C][C]0.603[/C][C]0.755[/C][C]0.595[/C][C]0.253[/C][C]0.685[/C][C]0.554[/C][C]0.554[/C][C]0.579[/C][C]0.657[/C][C]1[/C][C]0.734[/C][/ROW]
[ROW][C]tothyperlinks
[/C][C]0.584[/C][C]0.667[/C][C]0.568[/C][C]0.272[/C][C]0.747[/C][C]0.557[/C][C]0.556[/C][C]0.568[/C][C]0.655[/C][C]0.734[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155821&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155821&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)
pageviewstime_in_rfccompendium_views_infocompendium_views_prblogged_computationscompendiums_reviewedfeedback_messages_p1feedback_messages_p120totsizetotsecondstothyperlinks
pageviews10.7390.8490.4630.6270.5270.5190.5210.5320.6030.584
time_in_rfc0.73910.7260.3440.6830.590.5920.6050.6170.7550.667
compendium_views_info0.8490.72610.4210.6040.5020.4940.5040.5210.5950.568
compendium_views_pr0.4630.3440.42110.2890.2820.2680.2650.2380.2530.272
blogged_computations0.6270.6830.6040.28910.5740.5730.5770.6060.6850.747
compendiums_reviewed0.5270.590.5020.2820.57410.9390.7710.5820.5540.557
feedback_messages_p10.5190.5920.4940.2680.5730.93910.7990.580.5540.556
feedback_messages_p1200.5210.6050.5040.2650.5770.7710.79910.6110.5790.568
totsize0.5320.6170.5210.2380.6060.5820.580.61110.6570.655
totseconds0.6030.7550.5950.2530.6850.5540.5540.5790.65710.734
tothyperlinks 0.5840.6670.5680.2720.7470.5570.5560.5680.6550.7341







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;compendium_views_info0.96250.96650.8489
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
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)
pageviews;totsize0.64390.72120.5315
p-value(0)(0)(0)
pageviews;totseconds0.7430.7920.6032
p-value(0)(0)(0)
pageviews;tothyperlinks 0.70540.77910.5836
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;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)
time_in_rfc;totsize0.74620.81180.6171
p-value(0)(0)(0)
time_in_rfc;totseconds0.89490.91750.7548
p-value(0)(0)(0)
time_in_rfc;tothyperlinks 0.81640.85880.6675
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.51860.58490.4206
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_info;totsize0.62670.71350.5211
p-value(0)(0)(0)
compendium_views_info;totseconds0.73840.78910.5947
p-value(0)(0)(0)
compendium_views_info;tothyperlinks 0.69060.76590.5676
p-value(0)(0)(0)
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)
compendium_views_pr;totsize0.20650.3460.2382
p-value(4e-04)(0)(0)
compendium_views_pr;totseconds0.20310.36990.253
p-value(5e-04)(0)(0)
compendium_views_pr;tothyperlinks 0.19820.39460.2722
p-value(7e-04)(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)
blogged_computations;totsize0.76050.79620.6059
p-value(0)(0)(0)
blogged_computations;totseconds0.84010.86760.6852
p-value(0)(0)(0)
blogged_computations;tothyperlinks 0.8840.90640.7471
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)
compendiums_reviewed;totsize0.73450.78990.5825
p-value(0)(0)(0)
compendiums_reviewed;totseconds0.73210.76070.5536
p-value(0)(0)(0)
compendiums_reviewed;tothyperlinks 0.72060.75470.557
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p1200.93960.93350.7989
p-value(0)(0)(0)
feedback_messages_p1;totsize0.7350.79070.5799
p-value(0)(0)(0)
feedback_messages_p1;totseconds0.73490.76540.5545
p-value(0)(0)(0)
feedback_messages_p1;tothyperlinks 0.72510.76210.5562
p-value(0)(0)(0)
feedback_messages_p120;totsize0.75530.80890.6106
p-value(0)(0)(0)
feedback_messages_p120;totseconds0.74260.78150.5786
p-value(0)(0)(0)
feedback_messages_p120;tothyperlinks 0.73310.77010.5684
p-value(0)(0)(0)
totsize;totseconds0.82320.84150.6567
p-value(0)(0)(0)
totsize;tothyperlinks 0.79780.83840.6548
p-value(0)(0)(0)
totseconds;tothyperlinks 0.88690.90320.7339
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;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;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
pageviews;totsize & 0.6439 & 0.7212 & 0.5315 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;totseconds & 0.743 & 0.792 & 0.6032 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;tothyperlinks
 & 0.7054 & 0.7791 & 0.5836 \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;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
time_in_rfc;totsize & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totseconds & 0.8949 & 0.9175 & 0.7548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;tothyperlinks
 & 0.8164 & 0.8588 & 0.6675 \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;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_info;totsize & 0.6267 & 0.7135 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;totseconds & 0.7384 & 0.7891 & 0.5947 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;tothyperlinks
 & 0.6906 & 0.7659 & 0.5676 \tabularnewline
p-value & (0) & (0) & (0) \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
compendium_views_pr;totsize & 0.2065 & 0.346 & 0.2382 \tabularnewline
p-value & (4e-04) & (0) & (0) \tabularnewline
compendium_views_pr;totseconds & 0.2031 & 0.3699 & 0.253 \tabularnewline
p-value & (5e-04) & (0) & (0) \tabularnewline
compendium_views_pr;tothyperlinks
 & 0.1982 & 0.3946 & 0.2722 \tabularnewline
p-value & (7e-04) & (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
blogged_computations;totsize & 0.7605 & 0.7962 & 0.6059 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totseconds & 0.8401 & 0.8676 & 0.6852 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;tothyperlinks
 & 0.884 & 0.9064 & 0.7471 \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
compendiums_reviewed;totsize & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totseconds & 0.7321 & 0.7607 & 0.5536 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;tothyperlinks
 & 0.7206 & 0.7547 & 0.557 \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
feedback_messages_p1;totsize & 0.735 & 0.7907 & 0.5799 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;totseconds & 0.7349 & 0.7654 & 0.5545 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;tothyperlinks
 & 0.7251 & 0.7621 & 0.5562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totsize & 0.7553 & 0.8089 & 0.6106 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totseconds & 0.7426 & 0.7815 & 0.5786 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;tothyperlinks
 & 0.7331 & 0.7701 & 0.5684 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totseconds & 0.8232 & 0.8415 & 0.6567 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tothyperlinks
 & 0.7978 & 0.8384 & 0.6548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;tothyperlinks
 & 0.8869 & 0.9032 & 0.7339 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155821&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;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;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]pageviews;totsize[/C][C]0.6439[/C][C]0.7212[/C][C]0.5315[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;totseconds[/C][C]0.743[/C][C]0.792[/C][C]0.6032[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;tothyperlinks
[/C][C]0.7054[/C][C]0.7791[/C][C]0.5836[/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;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]time_in_rfc;totsize[/C][C]0.7462[/C][C]0.8118[/C][C]0.6171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totseconds[/C][C]0.8949[/C][C]0.9175[/C][C]0.7548[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;tothyperlinks
[/C][C]0.8164[/C][C]0.8588[/C][C]0.6675[/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;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_info;totsize[/C][C]0.6267[/C][C]0.7135[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;totseconds[/C][C]0.7384[/C][C]0.7891[/C][C]0.5947[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;tothyperlinks
[/C][C]0.6906[/C][C]0.7659[/C][C]0.5676[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/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]compendium_views_pr;totsize[/C][C]0.2065[/C][C]0.346[/C][C]0.2382[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;totseconds[/C][C]0.2031[/C][C]0.3699[/C][C]0.253[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;tothyperlinks
[/C][C]0.1982[/C][C]0.3946[/C][C]0.2722[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/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]blogged_computations;totsize[/C][C]0.7605[/C][C]0.7962[/C][C]0.6059[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totseconds[/C][C]0.8401[/C][C]0.8676[/C][C]0.6852[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;tothyperlinks
[/C][C]0.884[/C][C]0.9064[/C][C]0.7471[/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]compendiums_reviewed;totsize[/C][C]0.7345[/C][C]0.7899[/C][C]0.5825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totseconds[/C][C]0.7321[/C][C]0.7607[/C][C]0.5536[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;tothyperlinks
[/C][C]0.7206[/C][C]0.7547[/C][C]0.557[/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]
[ROW][C]feedback_messages_p1;totsize[/C][C]0.735[/C][C]0.7907[/C][C]0.5799[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;totseconds[/C][C]0.7349[/C][C]0.7654[/C][C]0.5545[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;tothyperlinks
[/C][C]0.7251[/C][C]0.7621[/C][C]0.5562[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;totsize[/C][C]0.7553[/C][C]0.8089[/C][C]0.6106[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;totseconds[/C][C]0.7426[/C][C]0.7815[/C][C]0.5786[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;tothyperlinks
[/C][C]0.7331[/C][C]0.7701[/C][C]0.5684[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totseconds[/C][C]0.8232[/C][C]0.8415[/C][C]0.6567[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;tothyperlinks
[/C][C]0.7978[/C][C]0.8384[/C][C]0.6548[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;tothyperlinks
[/C][C]0.8869[/C][C]0.9032[/C][C]0.7339[/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=155821&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155821&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;compendium_views_info0.96250.96650.8489
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
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)
pageviews;totsize0.64390.72120.5315
p-value(0)(0)(0)
pageviews;totseconds0.7430.7920.6032
p-value(0)(0)(0)
pageviews;tothyperlinks 0.70540.77910.5836
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;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)
time_in_rfc;totsize0.74620.81180.6171
p-value(0)(0)(0)
time_in_rfc;totseconds0.89490.91750.7548
p-value(0)(0)(0)
time_in_rfc;tothyperlinks 0.81640.85880.6675
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.51860.58490.4206
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_info;totsize0.62670.71350.5211
p-value(0)(0)(0)
compendium_views_info;totseconds0.73840.78910.5947
p-value(0)(0)(0)
compendium_views_info;tothyperlinks 0.69060.76590.5676
p-value(0)(0)(0)
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)
compendium_views_pr;totsize0.20650.3460.2382
p-value(4e-04)(0)(0)
compendium_views_pr;totseconds0.20310.36990.253
p-value(5e-04)(0)(0)
compendium_views_pr;tothyperlinks 0.19820.39460.2722
p-value(7e-04)(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)
blogged_computations;totsize0.76050.79620.6059
p-value(0)(0)(0)
blogged_computations;totseconds0.84010.86760.6852
p-value(0)(0)(0)
blogged_computations;tothyperlinks 0.8840.90640.7471
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)
compendiums_reviewed;totsize0.73450.78990.5825
p-value(0)(0)(0)
compendiums_reviewed;totseconds0.73210.76070.5536
p-value(0)(0)(0)
compendiums_reviewed;tothyperlinks 0.72060.75470.557
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p1200.93960.93350.7989
p-value(0)(0)(0)
feedback_messages_p1;totsize0.7350.79070.5799
p-value(0)(0)(0)
feedback_messages_p1;totseconds0.73490.76540.5545
p-value(0)(0)(0)
feedback_messages_p1;tothyperlinks 0.72510.76210.5562
p-value(0)(0)(0)
feedback_messages_p120;totsize0.75530.80890.6106
p-value(0)(0)(0)
feedback_messages_p120;totseconds0.74260.78150.5786
p-value(0)(0)(0)
feedback_messages_p120;tothyperlinks 0.73310.77010.5684
p-value(0)(0)(0)
totsize;totseconds0.82320.84150.6567
p-value(0)(0)(0)
totsize;tothyperlinks 0.79780.83840.6548
p-value(0)(0)(0)
totseconds;tothyperlinks 0.88690.90320.7339
p-value(0)(0)(0)



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
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')