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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 23 Dec 2011 10:23:10 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/23/t1324653834od6b37q49j5w0v8.htm/, Retrieved Thu, 31 Oct 2024 22:59:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160496, Retrieved Thu, 31 Oct 2024 22:59:00 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

135

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2011-12-23 15:23:10] [15b176dce75b54ed867df2f0f1df7481] [Current]
- RMPD    [Multiple Regression] [Multiple Regression] [2011-12-23 16:06:50] [2adcc8dcd741502b8a9375c7fd3d7ce3] 
- RMPD    [Multiple Regression] [Multiple Regression] [2011-12-23 16:06:50] [2adcc8dcd741502b8a9375c7fd3d7ce3] 
- RMPD    [Multiple Regression] [Multiple Regression] [2011-12-23 16:06:50] [2adcc8dcd741502b8a9375c7fd3d7ce3] 
- RM        [Recursive Partitioning (Regression Trees)] [recursive partiti...] [2011-12-23 17:08:04] [2adcc8dcd741502b8a9375c7fd3d7ce3] 
- RM D        [Skewness and Kurtosis Test] [skewness and kurt...] [2011-12-23 18:01:45] [2adcc8dcd741502b8a9375c7fd3d7ce3] 
- RMPD    [Multiple Regression] [Multiple Regression] [2011-12-23 16:06:50] [2adcc8dcd741502b8a9375c7fd3d7ce3] 

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Dataseries X:

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Histogram

Boxplots

1418	210907	56	79	30	115	94	112285	145	0
869	120982	56	58	28	109	103	84786	101	0
1530	176508	54	60	38	146	93	83123	98	1
2172	179321	89	108	30	116	103	101193	132	NA
901	123185	40	49	22	68	51	38361	60	NA
463	52746	25	0	26	101	70	68504	38	NA
3201	385534	92	121	25	96	91	119182	144	0
371	33170	18	1	18	67	22	22807	5	NA
1192	101645	63	20	11	44	38	17140	28	NA
1583	149061	44	43	26	100	93	116174	84	0
1439	165446	33	69	25	93	60	57635	79	1
1764	237213	84	78	38	140	123	66198	127	1
1495	173326	88	86	44	166	148	71701	78	NA
1373	133131	55	44	30	99	90	57793	60	1
2187	258873	60	104	40	139	124	80444	131	NA
1491	180083	66	63	34	130	70	53855	84	NA
4041	324799	154	158	47	181	168	97668	133	1
1706	230964	53	102	30	116	115	133824	150	0
2152	236785	119	77	31	116	71	101481	91	1
1036	135473	41	82	23	88	66	99645	132	0
1882	202925	61	115	36	139	134	114789	136	NA
1929	215147	58	101	36	135	117	99052	124	0
2242	344297	75	80	30	108	108	67654	118	1
1220	153935	33	50	25	89	84	65553	70	0
1289	132943	40	83	39	156	156	97500	107	NA
2515	174724	92	123	34	129	120	69112	119	1
2147	174415	100	73	31	118	114	82753	89	1
2352	225548	112	81	31	118	94	85323	112	0
1638	223632	73	105	33	125	120	72654	108	1
1222	124817	40	47	25	95	81	30727	52	1
1812	221698	45	105	33	126	110	77873	112	NA
1677	210767	60	94	35	135	133	117478	116	0
1579	170266	62	44	42	154	122	74007	123	0
1731	260561	75	114	43	165	158	90183	125	NA
807	84853	31	38	30	113	109	61542	27	NA
2452	294424	77	107	33	127	124	101494	162	0
829	101011	34	30	13	52	39	27570	32	NA
1940	215641	46	71	32	121	92	55813	64	NA
2662	325107	99	84	36	136	126	79215	92	1
186	7176	17	0	0	0	0	1423	0	1
1499	167542	66	59	28	108	70	55461	83	NA
865	106408	30	33	14	46	37	31081	41	0
1793	96560	76	42	17	54	38	22996	47	0
2527	265769	146	96	32	124	120	83122	120	1
2747	269651	67	106	30	115	93	70106	105	NA
1324	149112	56	56	35	128	95	60578	79	0
2702	175824	107	57	20	80	77	39992	65	1
1383	152871	58	59	28	97	90	79892	70	0
1179	111665	34	39	28	104	80	49810	55	1
2099	116408	61	34	39	59	31	71570	39	NA
4308	362301	119	76	34	125	110	100708	67	1
918	78800	42	20	26	82	66	33032	21	NA
1831	183167	66	91	39	149	138	82875	127	0
3373	277965	89	115	39	149	133	139077	152	NA
1713	150629	44	85	33	122	113	71595	113	NA
1438	168809	66	76	28	118	100	72260	99	1
496	24188	24	8	4	12	7	5950	7	1
2253	329267	259	79	39	144	140	115762	141	1
744	65029	17	21	18	67	61	32551	21	NA
1161	101097	64	30	14	52	41	31701	35	NA
2352	218946	41	76	29	108	96	80670	109	1
2144	244052	68	101	44	166	164	143558	133	1
4691	341570	168	94	21	80	78	117105	123	1
1112	103597	43	27	16	60	49	23789	26	0
2694	233328	132	92	28	107	102	120733	230	NA
1973	256462	105	123	35	127	124	105195	166	1
1769	206161	71	75	28	107	99	73107	68	NA
3148	311473	112	128	38	146	129	132068	147	NA
2474	235800	94	105	23	84	62	149193	179	0
2084	177939	82	55	36	141	73	46821	61	NA
1954	207176	70	56	32	123	114	87011	101	NA
1226	196553	57	41	29	111	99	95260	108	1
1389	174184	53	72	25	98	70	55183	90	1
1496	143246	103	67	27	105	104	106671	114	0
2269	187559	121	75	36	135	116	73511	103	1
1833	187681	62	114	28	107	91	92945	142	0
1268	119016	52	118	23	85	74	78664	79	NA
1943	182192	52	77	40	155	138	70054	88	NA
893	73566	32	22	23	88	67	22618	25	1
1762	194979	62	66	40	155	151	74011	83	NA
1403	167488	45	69	28	104	72	83737	113	0
1425	143756	46	105	34	132	120	69094	118	0
1857	275541	63	116	33	127	115	93133	110	NA
1840	243199	75	88	28	108	105	95536	129	0
1502	182999	88	73	34	129	104	225920	51	1
1441	135649	46	99	30	116	108	62133	93	NA
1420	152299	53	62	33	122	98	61370	76	1
1416	120221	37	53	22	85	69	43836	49	NA
2970	346485	90	118	38	147	111	106117	118	1
1317	145790	63	30	26	99	99	38692	38	NA
1644	193339	78	100	35	87	71	84651	141	1
870	80953	25	49	8	28	27	56622	58	NA
1654	122774	45	24	24	90	69	15986	27	1
1054	130585	46	67	29	109	107	95364	91	0
937	112611	41	46	20	78	73	26706	48	1
3004	286468	144	57	29	111	107	89691	63	1
2008	241066	82	75	45	158	93	67267	56	NA
2547	148446	91	135	37	141	129	126846	144	1
1885	204713	71	68	33	122	69	41140	73	NA
1626	182079	63	124	33	124	118	102860	168	0
1468	140344	53	33	25	93	73	51715	64	1
2445	220516	62	98	32	124	119	55801	97	1
1964	243060	63	58	29	112	104	111813	117	1
1381	162765	32	68	28	108	107	120293	100	1
1369	182613	39	81	28	99	99	138599	149	NA
1659	232138	62	131	31	117	90	161647	187	1
2888	265318	117	110	52	199	197	115929	127	0
1290	85574	34	37	21	78	36	24266	37	1
2845	310839	92	130	24	91	85	162901	245	0
1982	225060	93	93	41	158	139	109825	87	0
1904	232317	54	118	33	126	106	129838	177	1
1391	144966	144	39	32	122	50	37510	49	0
602	43287	14	13	19	71	64	43750	49	NA
1743	155754	61	74	20	75	31	40652	73	NA
1559	164709	109	81	31	115	63	87771	177	1
2014	201940	38	109	31	119	92	85872	94	NA
2143	235454	73	151	32	124	106	89275	117	NA
2146	220801	75	51	18	72	63	44418	60	1
874	99466	50	28	23	91	69	192565	55	0
1590	92661	61	40	17	45	41	35232	39	1
1590	133328	55	56	20	78	56	40909	64	1
1210	61361	77	27	12	39	25	13294	26	1
2072	125930	75	37	17	68	65	32387	64	NA
1281	100750	72	83	30	119	93	140867	58	1
1401	224549	50	54	31	117	114	120662	95	NA
834	82316	32	27	10	39	38	21233	25	NA
1105	102010	53	28	13	50	44	44332	26	0
1272	101523	42	59	22	88	87	61056	76	1
1944	243511	71	133	42	155	110	101338	129	1
391	22938	10	12	1	0	0	1168	11	1
761	41566	35	0	9	36	27	13497	2	NA
1605	152474	65	106	32	123	83	65567	101	1
530	61857	25	23	11	32	30	25162	28	NA
1988	99923	66	44	25	99	80	32334	36	0
1386	132487	41	71	36	136	98	40735	89	1
2395	317394	86	116	31	117	82	91413	193	0
387	21054	16	4	0	0	0	855	4	1
1742	209641	42	62	24	88	60	97068	84	1
620	22648	19	12	13	39	28	44339	23	0
449	31414	19	18	8	25	9	14116	39	0
800	46698	45	14	13	52	33	10288	14	1
1684	131698	65	60	19	75	59	65622	78	1
1050	91735	35	7	18	71	49	16563	14	NA
2699	244749	95	98	33	124	115	76643	101	1
1606	184510	49	64	40	151	140	110681	82	NA
1502	79863	37	29	22	71	49	29011	24	NA
1204	128423	64	32	38	145	120	92696	36	0
1138	97839	38	25	24	87	66	94785	75	0
568	38214	34	16	8	27	21	8773	16	NA
1459	151101	32	48	35	131	124	83209	55	NA
2158	272458	65	100	43	162	152	93815	131	1
1111	172494	52	46	43	165	139	86687	131	NA
1421	108043	62	45	14	54	38	34553	39	1
2833	328107	65	129	41	159	144	105547	144	0
1955	250579	83	130	38	147	120	103487	139	NA
2922	351067	95	136	45	170	160	213688	211	1
1002	158015	29	59	31	119	114	71220	78	0
1060	98866	18	25	13	49	39	23517	50	NA
956	85439	33	32	28	104	78	56926	39	NA
2186	229242	247	63	31	120	119	91721	90	1
3604	351619	139	95	40	150	141	115168	166	NA
1035	84207	29	14	30	112	101	111194	12	1
1417	120445	118	36	16	59	56	51009	57	0
3261	324598	110	113	37	136	133	135777	133	0
1587	131069	67	47	30	107	83	51513	69	0
1424	204271	42	92	35	130	116	74163	119	0
1701	165543	65	70	32	115	90	51633	119	NA
1249	141722	94	19	27	107	36	75345	65	NA
946	116048	64	50	20	75	50	33416	61	0
1926	250047	81	41	18	71	61	83305	49	1
3352	299775	95	91	31	120	97	98952	101	1
1641	195838	67	111	31	116	98	102372	196	0
2035	173260	63	41	21	79	78	37238	15	1
2312	254488	83	120	39	150	117	103772	136	0
1369	104389	45	135	41	156	148	123969	89	NA
1577	136084	30	27	13	51	41	27142	40	NA
2201	199476	70	87	32	118	105	135400	123	NA
961	92499	32	25	18	71	55	21399	21	1
1900	224330	83	131	39	144	132	130115	163	0
1254	135781	31	45	14	47	44	24874	29	0
1335	74408	67	29	7	28	21	34988	35	1
1597	81240	66	58	17	68	50	45549	13	0
207	14688	10	4	0	0	0	6023	5	NA
1645	181633	70	47	30	110	73	64466	96	1
2429	271856	103	109	37	147	86	54990	151	1
151	7199	5	7	0	0	0	1644	6	NA
474	46660	20	12	5	15	13	6179	13	NA
141	17547	5	0	1	4	4	3926	3	NA
1639	133368	36	37	16	64	57	32755	56	NA
872	95227	34	37	32	111	48	34777	23	1
1318	152601	48	46	24	85	46	73224	57	NA
1018	98146	40	15	17	68	48	27114	14	0
1383	79619	43	42	11	40	32	20760	43	NA
1314	59194	31	7	24	80	68	37636	20	0
1335	139942	42	54	22	88	87	65461	72	1
1403	118612	46	54	12	48	43	30080	87	0
910	72880	33	14	19	76	67	24094	21	1
616	65475	18	16	13	51	46	69008	56	1
1407	99643	55	33	17	67	46	54968	59	NA
771	71965	35	32	15	59	56	46090	82	1
766	77272	59	21	16	61	48	27507	43	NA
473	49289	19	15	24	76	44	10672	25	NA
1376	135131	66	38	15	60	60	34029	38	0
1232	108446	60	22	17	68	65	46300	25	0
1521	89746	36	28	18	71	55	24760	38	NA
572	44296	25	10	20	76	38	18779	12	NA
1059	77648	47	31	16	62	52	21280	29	NA
1544	181528	54	32	16	61	60	40662	47	1
1230	134019	53	32	18	67	54	28987	45	1
1206	124064	40	43	22	88	86	22827	40	NA
1205	92630	40	27	8	30	24	18513	30	NA
1255	121848	39	37	17	64	52	30594	41	0
613	52915	14	20	18	68	49	24006	25	NA
721	81872	45	32	16	64	61	27913	23	0
1109	58981	36	0	23	91	61	42744	14	0
740	53515	28	5	22	88	81	12934	16	0
1126	60812	44	26	13	52	43	22574	26	NA
728	56375	30	10	13	49	40	41385	21	1
689	65490	22	27	16	62	40	18653	27	1
592	80949	17	11	16	61	56	18472	9	NA
995	76302	31	29	20	76	68	30976	33	1
1613	104011	55	25	22	88	79	63339	42	1
2048	98104	54	55	17	66	47	25568	68	0
705	67989	21	23	18	71	57	33747	32	NA
301	30989	14	5	17	68	41	4154	6	1
1803	135458	81	43	12	48	29	19474	67	0
799	73504	35	23	7	25	3	35130	33	NA
861	63123	43	34	17	68	60	39067	77	1
1186	61254	46	36	14	41	30	13310	46	NA
1451	74914	30	35	23	90	79	65892	30	1
628	31774	23	0	17	66	47	4143	0	0
1161	81437	38	37	14	54	40	28579	36	1
1463	87186	54	28	15	59	48	51776	46	NA
742	50090	20	16	17	60	36	21152	18	NA
979	65745	53	26	21	77	42	38084	48	1
675	56653	45	38	18	68	49	27717	29	1
1241	158399	39	23	18	72	57	32928	28	1
676	46455	20	22	17	67	12	11342	34	NA
1049	73624	24	30	17	64	40	19499	33	1
620	38395	31	16	16	63	43	16380	34	NA
1081	91899	35	18	15	59	33	36874	33	1
1688	139526	151	28	21	84	77	48259	80	1
736	52164	52	32	16	64	43	16734	32	NA
617	51567	30	21	14	56	45	28207	30	0
812	70551	31	23	15	54	47	30143	41	NA
1051	84856	29	29	17	67	43	41369	41	NA
1656	102538	57	50	15	58	45	45833	51	0
705	86678	40	12	15	59	50	29156	18	1
945	85709	44	21	10	40	35	35944	34	NA
554	34662	25	18	6	22	7	36278	31	NA
1597	150580	77	27	22	83	71	45588	39	1
982	99611	35	41	21	81	67	45097	54	1
222	19349	11	13	1	2	0	3895	14	NA
1212	99373	63	12	18	72	62	28394	24	0
1143	86230	44	21	17	61	54	18632	24	0
435	30837	19	8	4	15	4	2325	8	0
532	31706	13	26	10	32	25	25139	26	1
882	89806	42	27	16	62	40	27975	19	1
608	62088	38	13	16	58	38	14483	11	NA
459	40151	29	16	9	36	19	13127	14	NA
578	27634	20	2	16	59	17	5839	1	NA
826	76990	27	42	17	68	67	24069	39	NA
509	37460	20	5	7	21	14	3738	5	NA
717	54157	19	37	15	55	30	18625	37	NA
637	49862	37	17	14	54	54	36341	32	NA
857	84337	26	38	14	55	35	24548	38	NA
830	64175	42	37	18	72	59	21792	47	0
652	59382	49	29	12	41	24	26263	47	0
707	119308	30	32	16	61	58	23686	37	0
954	76702	49	35	21	67	42	49303	51	0
1461	103425	67	17	19	76	46	25659	45	NA
672	70344	28	20	16	64	61	28904	21	NA
778	43410	19	7	1	3	3	2781	1	NA
1141	104838	49	46	16	63	52	29236	42	NA
680	62215	27	24	10	40	25	19546	26	NA
1090	69304	30	40	19	69	40	22818	21	NA
616	53117	22	3	12	48	32	32689	4	NA
285	19764	12	10	2	8	4	5752	10	1
1145	86680	31	37	14	52	49	22197	43	NA
733	84105	20	17	17	66	63	20055	34	0
888	77945	20	28	19	76	67	25272	31	NA
849	89113	39	19	14	43	32	82206	19	NA
1182	91005	29	29	11	39	23	32073	34	NA
528	40248	16	8	4	14	7	5444	6	NA
642	64187	27	10	16	61	54	20154	11	1
947	50857	21	15	20	71	37	36944	24	NA
819	56613	19	15	12	44	35	8019	16	NA
757	62792	35	28	15	60	51	30884	72	NA
894	72535	14	17	16	64	39	19540	21	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160496&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160496&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=kendall)
	pageviews	time_in_rfc	logins	blogged_computations	compendiums_reviewed	feedback_messages_p1	feedback_messages_p120	totsize	totblogs	gender
pageviews	1	0.739	0.661	0.627	0.527	0.519	0.521	0.532	0.583	0.052
time_in_rfc	0.739	1	0.609	0.683	0.59	0.592	0.605	0.617	0.665	0.026
logins	0.661	0.609	1	0.523	0.453	0.449	0.444	0.474	0.512	0.006
blogged_computations	0.627	0.683	0.523	1	0.574	0.573	0.577	0.606	0.751	-0.029
compendiums_reviewed	0.527	0.59	0.453	0.574	1	0.939	0.771	0.582	0.556	0.018
feedback_messages_p1	0.519	0.592	0.449	0.573	0.939	1	0.799	0.58	0.554	0.019
feedback_messages_p120	0.521	0.605	0.444	0.577	0.771	0.799	1	0.611	0.568	-0.017
totsize	0.532	0.617	0.474	0.606	0.582	0.58	0.611	1	0.656	-0.051
totblogs	0.583	0.665	0.512	0.751	0.556	0.554	0.568	0.656	1	-0.066
gender	0.052	0.026	0.006	-0.029	0.018	0.019	-0.017	-0.051	-0.066	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pageviews & time_in_rfc & logins & blogged_computations & compendiums_reviewed & feedback_messages_p1 & feedback_messages_p120 & totsize & totblogs & gender \tabularnewline
pageviews & 1 & 0.739 & 0.661 & 0.627 & 0.527 & 0.519 & 0.521 & 0.532 & 0.583 & 0.052 \tabularnewline
time_in_rfc & 0.739 & 1 & 0.609 & 0.683 & 0.59 & 0.592 & 0.605 & 0.617 & 0.665 & 0.026 \tabularnewline
logins & 0.661 & 0.609 & 1 & 0.523 & 0.453 & 0.449 & 0.444 & 0.474 & 0.512 & 0.006 \tabularnewline
blogged_computations & 0.627 & 0.683 & 0.523 & 1 & 0.574 & 0.573 & 0.577 & 0.606 & 0.751 & -0.029 \tabularnewline
compendiums_reviewed & 0.527 & 0.59 & 0.453 & 0.574 & 1 & 0.939 & 0.771 & 0.582 & 0.556 & 0.018 \tabularnewline
feedback_messages_p1 & 0.519 & 0.592 & 0.449 & 0.573 & 0.939 & 1 & 0.799 & 0.58 & 0.554 & 0.019 \tabularnewline
feedback_messages_p120 & 0.521 & 0.605 & 0.444 & 0.577 & 0.771 & 0.799 & 1 & 0.611 & 0.568 & -0.017 \tabularnewline
totsize & 0.532 & 0.617 & 0.474 & 0.606 & 0.582 & 0.58 & 0.611 & 1 & 0.656 & -0.051 \tabularnewline
totblogs & 0.583 & 0.665 & 0.512 & 0.751 & 0.556 & 0.554 & 0.568 & 0.656 & 1 & -0.066 \tabularnewline
gender & 0.052 & 0.026 & 0.006 & -0.029 & 0.018 & 0.019 & -0.017 & -0.051 & -0.066 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160496&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]logins[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][C]feedback_messages_p120[/C][C]totsize[/C][C]totblogs[/C][C]gender[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.739[/C][C]0.661[/C][C]0.627[/C][C]0.527[/C][C]0.519[/C][C]0.521[/C][C]0.532[/C][C]0.583[/C][C]0.052[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.739[/C][C]1[/C][C]0.609[/C][C]0.683[/C][C]0.59[/C][C]0.592[/C][C]0.605[/C][C]0.617[/C][C]0.665[/C][C]0.026[/C][/ROW]
[ROW][C]logins[/C][C]0.661[/C][C]0.609[/C][C]1[/C][C]0.523[/C][C]0.453[/C][C]0.449[/C][C]0.444[/C][C]0.474[/C][C]0.512[/C][C]0.006[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.627[/C][C]0.683[/C][C]0.523[/C][C]1[/C][C]0.574[/C][C]0.573[/C][C]0.577[/C][C]0.606[/C][C]0.751[/C][C]-0.029[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.527[/C][C]0.59[/C][C]0.453[/C][C]0.574[/C][C]1[/C][C]0.939[/C][C]0.771[/C][C]0.582[/C][C]0.556[/C][C]0.018[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.519[/C][C]0.592[/C][C]0.449[/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]0.019[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.521[/C][C]0.605[/C][C]0.444[/C][C]0.577[/C][C]0.771[/C][C]0.799[/C][C]1[/C][C]0.611[/C][C]0.568[/C][C]-0.017[/C][/ROW]
[ROW][C]totsize[/C][C]0.532[/C][C]0.617[/C][C]0.474[/C][C]0.606[/C][C]0.582[/C][C]0.58[/C][C]0.611[/C][C]1[/C][C]0.656[/C][C]-0.051[/C][/ROW]
[ROW][C]totblogs[/C][C]0.583[/C][C]0.665[/C][C]0.512[/C][C]0.751[/C][C]0.556[/C][C]0.554[/C][C]0.568[/C][C]0.656[/C][C]1[/C][C]-0.066[/C][/ROW]
[ROW][C]gender[/C][C]0.052[/C][C]0.026[/C][C]0.006[/C][C]-0.029[/C][C]0.018[/C][C]0.019[/C][C]-0.017[/C][C]-0.051[/C][C]-0.066[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160496&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)
	pageviews	time_in_rfc	logins	blogged_computations	compendiums_reviewed	feedback_messages_p1	feedback_messages_p120	totsize	totblogs	gender
pageviews	1	0.739	0.661	0.627	0.527	0.519	0.521	0.532	0.583	0.052
time_in_rfc	0.739	1	0.609	0.683	0.59	0.592	0.605	0.617	0.665	0.026
logins	0.661	0.609	1	0.523	0.453	0.449	0.444	0.474	0.512	0.006
blogged_computations	0.627	0.683	0.523	1	0.574	0.573	0.577	0.606	0.751	-0.029
compendiums_reviewed	0.527	0.59	0.453	0.574	1	0.939	0.771	0.582	0.556	0.018
feedback_messages_p1	0.519	0.592	0.449	0.573	0.939	1	0.799	0.58	0.554	0.019
feedback_messages_p120	0.521	0.605	0.444	0.577	0.771	0.799	1	0.611	0.568	-0.017
totsize	0.532	0.617	0.474	0.606	0.582	0.58	0.611	1	0.656	-0.051
totblogs	0.583	0.665	0.512	0.751	0.556	0.554	0.568	0.656	1	-0.066
gender	0.052	0.026	0.006	-0.029	0.018	0.019	-0.017	-0.051	-0.066	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_in_rfc	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
pageviews;logins	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
pageviews;blogged_computations	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
pageviews;compendiums_reviewed	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
pageviews;feedback_messages_p1	0.6643	0.7129	0.5187
p-value	(0)	(0)	(0)
pageviews;feedback_messages_p120	0.6713	0.7121	0.5211
p-value	(0)	(0)	(0)
pageviews;totsize	0.6439	0.7212	0.5315
p-value	(0)	(0)	(0)
pageviews;totblogs	0.7024	0.7796	0.5828
p-value	(0)	(0)	(0)
pageviews;gender	0.0792	0.0631	0.0517
p-value	(0.302)	(0.4106)	(0.409)
time_in_rfc;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time_in_rfc;blogged_computations	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time_in_rfc;compendiums_reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p1	0.7635	0.7966	0.5916
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p120	0.7689	0.8052	0.6046
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
time_in_rfc;totblogs	0.8143	0.8573	0.665
p-value	(0)	(0)	(0)
time_in_rfc;gender	0.0426	0.032	0.0262
p-value	(0.5793)	(0.6765)	(0.6752)
logins;blogged_computations	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;feedback_messages_p1	0.5526	0.6288	0.4486
p-value	(0)	(0)	(0)
logins;feedback_messages_p120	0.5462	0.6166	0.4437
p-value	(0)	(0)	(0)
logins;totsize	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
logins;totblogs	0.581	0.7078	0.5116
p-value	(0)	(0)	(0)
logins;gender	0.0805	0.007	0.0058
p-value	(0.2938)	(0.9274)	(0.927)
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;feedback_messages_p1	0.7676	0.7767	0.573
p-value	(0)	(0)	(0)
blogged_computations;feedback_messages_p120	0.7739	0.7791	0.577
p-value	(0)	(0)	(0)
blogged_computations;totsize	0.7605	0.7962	0.6059
p-value	(0)	(0)	(0)
blogged_computations;totblogs	0.8853	0.9093	0.7512
p-value	(0)	(0)	(0)
blogged_computations;gender	-0.0343	-0.0351	-0.0289
p-value	(0.6553)	(0.6473)	(0.6459)
compendiums_reviewed;feedback_messages_p1	0.984	0.9811	0.9389
p-value	(0)	(0)	(0)
compendiums_reviewed;feedback_messages_p120	0.9182	0.9067	0.7707
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.7197	0.7558	0.5563
p-value	(0)	(0)	(0)
compendiums_reviewed;gender	-0.0077	0.0213	0.0177
p-value	(0.9201)	(0.7819)	(0.781)
feedback_messages_p1;feedback_messages_p120	0.9396	0.9335	0.7989
p-value	(0)	(0)	(0)
feedback_messages_p1;totsize	0.735	0.7907	0.5799
p-value	(0)	(0)	(0)
feedback_messages_p1;totblogs	0.7237	0.762	0.5537
p-value	(0)	(0)	(0)
feedback_messages_p1;gender	-0.0058	0.0236	0.0194
p-value	(0.9396)	(0.7584)	(0.7574)
feedback_messages_p120;totsize	0.7553	0.8089	0.6106
p-value	(0)	(0)	(0)
feedback_messages_p120;totblogs	0.731	0.7709	0.5685
p-value	(0)	(0)	(0)
feedback_messages_p120;gender	-0.0323	-0.0209	-0.0172
p-value	(0.6742)	(0.7856)	(0.7847)
totsize;totblogs	0.7983	0.8394	0.6562
p-value	(0)	(0)	(0)
totsize;gender	-0.0582	-0.0627	-0.0513
p-value	(0.4481)	(0.4141)	(0.4125)
totblogs;gender	-0.0965	-0.0798	-0.0655
p-value	(0.208)	(0.2983)	(0.297)

\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;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;totblogs & 0.7024 & 0.7796 & 0.5828 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;gender & 0.0792 & 0.0631 & 0.0517 \tabularnewline
p-value & (0.302) & (0.4106) & (0.409) \tabularnewline
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \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;totblogs & 0.8143 & 0.8573 & 0.665 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;gender & 0.0426 & 0.032 & 0.0262 \tabularnewline
p-value & (0.5793) & (0.6765) & (0.6752) \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
logins;totsize & 0.5364 & 0.6588 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totblogs & 0.581 & 0.7078 & 0.5116 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;gender & 0.0805 & 0.007 & 0.0058 \tabularnewline
p-value & (0.2938) & (0.9274) & (0.927) \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;totblogs & 0.8853 & 0.9093 & 0.7512 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;gender & -0.0343 & -0.0351 & -0.0289 \tabularnewline
p-value & (0.6553) & (0.6473) & (0.6459) \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;totblogs & 0.7197 & 0.7558 & 0.5563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;gender & -0.0077 & 0.0213 & 0.0177 \tabularnewline
p-value & (0.9201) & (0.7819) & (0.781) \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;totblogs & 0.7237 & 0.762 & 0.5537 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;gender & -0.0058 & 0.0236 & 0.0194 \tabularnewline
p-value & (0.9396) & (0.7584) & (0.7574) \tabularnewline
feedback_messages_p120;totsize & 0.7553 & 0.8089 & 0.6106 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totblogs & 0.731 & 0.7709 & 0.5685 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;gender & -0.0323 & -0.0209 & -0.0172 \tabularnewline
p-value & (0.6742) & (0.7856) & (0.7847) \tabularnewline
totsize;totblogs & 0.7983 & 0.8394 & 0.6562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;gender & -0.0582 & -0.0627 & -0.0513 \tabularnewline
p-value & (0.4481) & (0.4141) & (0.4125) \tabularnewline
totblogs;gender & -0.0965 & -0.0798 & -0.0655 \tabularnewline
p-value & (0.208) & (0.2983) & (0.297) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160496&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;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;totblogs[/C][C]0.7024[/C][C]0.7796[/C][C]0.5828[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;gender[/C][C]0.0792[/C][C]0.0631[/C][C]0.0517[/C][/ROW]
[ROW][C]p-value[/C][C](0.302)[/C][C](0.4106)[/C][C](0.409)[/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;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;totblogs[/C][C]0.8143[/C][C]0.8573[/C][C]0.665[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;gender[/C][C]0.0426[/C][C]0.032[/C][C]0.0262[/C][/ROW]
[ROW][C]p-value[/C][C](0.5793)[/C][C](0.6765)[/C][C](0.6752)[/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]logins;totsize[/C][C]0.5364[/C][C]0.6588[/C][C]0.4742[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totblogs[/C][C]0.581[/C][C]0.7078[/C][C]0.5116[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;gender[/C][C]0.0805[/C][C]0.007[/C][C]0.0058[/C][/ROW]
[ROW][C]p-value[/C][C](0.2938)[/C][C](0.9274)[/C][C](0.927)[/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;totblogs[/C][C]0.8853[/C][C]0.9093[/C][C]0.7512[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;gender[/C][C]-0.0343[/C][C]-0.0351[/C][C]-0.0289[/C][/ROW]
[ROW][C]p-value[/C][C](0.6553)[/C][C](0.6473)[/C][C](0.6459)[/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;totblogs[/C][C]0.7197[/C][C]0.7558[/C][C]0.5563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;gender[/C][C]-0.0077[/C][C]0.0213[/C][C]0.0177[/C][/ROW]
[ROW][C]p-value[/C][C](0.9201)[/C][C](0.7819)[/C][C](0.781)[/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;totblogs[/C][C]0.7237[/C][C]0.762[/C][C]0.5537[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;gender[/C][C]-0.0058[/C][C]0.0236[/C][C]0.0194[/C][/ROW]
[ROW][C]p-value[/C][C](0.9396)[/C][C](0.7584)[/C][C](0.7574)[/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;totblogs[/C][C]0.731[/C][C]0.7709[/C][C]0.5685[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;gender[/C][C]-0.0323[/C][C]-0.0209[/C][C]-0.0172[/C][/ROW]
[ROW][C]p-value[/C][C](0.6742)[/C][C](0.7856)[/C][C](0.7847)[/C][/ROW]
[ROW][C]totsize;totblogs[/C][C]0.7983[/C][C]0.8394[/C][C]0.6562[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;gender[/C][C]-0.0582[/C][C]-0.0627[/C][C]-0.0513[/C][/ROW]
[ROW][C]p-value[/C][C](0.4481)[/C][C](0.4141)[/C][C](0.4125)[/C][/ROW]
[ROW][C]totblogs;gender[/C][C]-0.0965[/C][C]-0.0798[/C][C]-0.0655[/C][/ROW]
[ROW][C]p-value[/C][C](0.208)[/C][C](0.2983)[/C][C](0.297)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160496&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160496&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_in_rfc	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
pageviews;logins	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
pageviews;blogged_computations	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
pageviews;compendiums_reviewed	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
pageviews;feedback_messages_p1	0.6643	0.7129	0.5187
p-value	(0)	(0)	(0)
pageviews;feedback_messages_p120	0.6713	0.7121	0.5211
p-value	(0)	(0)	(0)
pageviews;totsize	0.6439	0.7212	0.5315
p-value	(0)	(0)	(0)
pageviews;totblogs	0.7024	0.7796	0.5828
p-value	(0)	(0)	(0)
pageviews;gender	0.0792	0.0631	0.0517
p-value	(0.302)	(0.4106)	(0.409)
time_in_rfc;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time_in_rfc;blogged_computations	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time_in_rfc;compendiums_reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p1	0.7635	0.7966	0.5916
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p120	0.7689	0.8052	0.6046
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
time_in_rfc;totblogs	0.8143	0.8573	0.665
p-value	(0)	(0)	(0)
time_in_rfc;gender	0.0426	0.032	0.0262
p-value	(0.5793)	(0.6765)	(0.6752)
logins;blogged_computations	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;feedback_messages_p1	0.5526	0.6288	0.4486
p-value	(0)	(0)	(0)
logins;feedback_messages_p120	0.5462	0.6166	0.4437
p-value	(0)	(0)	(0)
logins;totsize	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
logins;totblogs	0.581	0.7078	0.5116
p-value	(0)	(0)	(0)
logins;gender	0.0805	0.007	0.0058
p-value	(0.2938)	(0.9274)	(0.927)
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;feedback_messages_p1	0.7676	0.7767	0.573
p-value	(0)	(0)	(0)
blogged_computations;feedback_messages_p120	0.7739	0.7791	0.577
p-value	(0)	(0)	(0)
blogged_computations;totsize	0.7605	0.7962	0.6059
p-value	(0)	(0)	(0)
blogged_computations;totblogs	0.8853	0.9093	0.7512
p-value	(0)	(0)	(0)
blogged_computations;gender	-0.0343	-0.0351	-0.0289
p-value	(0.6553)	(0.6473)	(0.6459)
compendiums_reviewed;feedback_messages_p1	0.984	0.9811	0.9389
p-value	(0)	(0)	(0)
compendiums_reviewed;feedback_messages_p120	0.9182	0.9067	0.7707
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.7197	0.7558	0.5563
p-value	(0)	(0)	(0)
compendiums_reviewed;gender	-0.0077	0.0213	0.0177
p-value	(0.9201)	(0.7819)	(0.781)
feedback_messages_p1;feedback_messages_p120	0.9396	0.9335	0.7989
p-value	(0)	(0)	(0)
feedback_messages_p1;totsize	0.735	0.7907	0.5799
p-value	(0)	(0)	(0)
feedback_messages_p1;totblogs	0.7237	0.762	0.5537
p-value	(0)	(0)	(0)
feedback_messages_p1;gender	-0.0058	0.0236	0.0194
p-value	(0.9396)	(0.7584)	(0.7574)
feedback_messages_p120;totsize	0.7553	0.8089	0.6106
p-value	(0)	(0)	(0)
feedback_messages_p120;totblogs	0.731	0.7709	0.5685
p-value	(0)	(0)	(0)
feedback_messages_p120;gender	-0.0323	-0.0209	-0.0172
p-value	(0.6742)	(0.7856)	(0.7847)
totsize;totblogs	0.7983	0.8394	0.6562
p-value	(0)	(0)	(0)
totsize;gender	-0.0582	-0.0627	-0.0513
p-value	(0.4481)	(0.4141)	(0.4125)
totblogs;gender	-0.0965	-0.0798	-0.0655
p-value	(0.208)	(0.2983)	(0.297)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

R code (references can be found in the software module):

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code