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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

Wed, 14 Dec 2011 14:28:27 -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/14/t132389095645uzi5dwchba35s.htm/, Retrieved Wed, 01 May 2024 18:24:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155212, Retrieved Wed, 01 May 2024 18:24:00 +0000

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No (this computation is public)

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Estimated Impact

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

-       [Kendall tau Correlation Matrix] [kendall's tau Cor...] [2011-12-14 19:28:27] [de50302416ae5d0bdedd77e4c0468c33] [Current]
- RMP     [Multiple Regression] [multiple regression] [2011-12-14 22:31:58] [71fa56397b79b6f4596b21687a2f6e82] 

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Dataseries X:

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1418	210907	56	396	81	3	79	30
869	120982	56	297	55	4	58	28
1530	176508	54	559	50	12	60	38
2172	179321	89	967	125	2	108	30
901	123185	40	270	40	1	49	22
463	52746	25	143	37	3	0	26
3201	385534	92	1562	63	0	121	25
371	33170	18	109	44	0	1	18
1192	101645	63	371	88	0	20	11
1583	149061	44	656	66	5	43	26
1439	165446	33	511	57	0	69	25
1764	237213	84	655	74	0	78	38
1495	173326	88	465	49	7	86	44
1373	133131	55	525	52	7	44	30
2187	258873	60	885	88	3	104	40
1491	180083	66	497	36	9	63	34
4041	324799	154	1436	108	0	158	47
1706	230964	53	612	43	4	102	30
2152	236785	119	865	75	3	77	31
1036	135473	41	385	32	0	82	23
1882	202925	61	567	44	7	115	36
1929	215147	58	639	85	0	101	36
2242	344297	75	963	86	1	80	30
1220	153935	33	398	56	5	50	25
1289	132943	40	410	50	7	83	39
2515	174724	92	966	135	0	123	34
2147	174415	100	801	63	0	73	31
2352	225548	112	892	81	5	81	31
1638	223632	73	513	52	0	105	33
1222	124817	40	469	44	0	47	25
1812	221698	45	683	113	0	105	33
1677	210767	60	643	39	3	94	35
1579	170266	62	535	73	4	44	42
1731	260561	75	625	48	1	114	43
807	84853	31	264	33	4	38	30
2452	294424	77	992	59	2	107	33
829	101011	34	238	41	0	30	13
1940	215641	46	818	69	0	71	32
2662	325107	99	937	64	0	84	36
186	7176	17	70	1	0	0	0
1499	167542	66	507	59	2	59	28
865	106408	30	260	32	1	33	14
1793	96560	76	503	129	0	42	17
2527	265769	146	927	37	2	96	32
2747	269651	67	1269	31	10	106	30
1324	149112	56	537	65	6	56	35
2702	175824	107	910	107	0	57	20
1383	152871	58	532	74	5	59	28
1179	111665	34	345	54	4	39	28
2099	116408	61	918	76	1	34	39
4308	362301	119	1635	715	2	76	34
918	78800	42	330	57	2	20	26
1831	183167	66	557	66	0	91	39
3373	277965	89	1178	106	8	115	39
1713	150629	44	740	54	3	85	33
1438	168809	66	452	32	0	76	28
496	24188	24	218	20	0	8	4
2253	329267	259	764	71	8	79	39
744	65029	17	255	21	5	21	18
1161	101097	64	454	70	3	30	14
2352	218946	41	866	112	1	76	29
2144	244052	68	574	66	5	101	44
4691	341570	168	1276	190	1	94	21
1112	103597	43	379	66	1	27	16
2694	233328	132	825	165	5	92	28
1973	256462	105	798	56	0	123	35
1769	206161	71	663	61	12	75	28
3148	311473	112	1069	53	8	128	38
2474	235800	94	921	127	8	105	23
2084	177939	82	858	63	8	55	36
1954	207176	70	711	38	8	56	32
1226	196553	57	503	50	2	41	29
1389	174184	53	382	52	0	72	25
1496	143246	103	464	42	5	67	27
2269	187559	121	717	76	8	75	36
1833	187681	62	690	67	2	114	28
1268	119016	52	462	50	5	118	23
1943	182192	52	657	53	12	77	40
893	73566	32	385	39	6	22	23
1762	194979	62	577	50	7	66	40
1403	167488	45	619	77	2	69	28
1425	143756	46	479	57	0	105	34
1857	275541	63	817	73	4	116	33
1840	243199	75	752	34	3	88	28
1502	182999	88	430	39	6	73	34
1441	135649	46	451	46	2	99	30
1420	152299	53	537	63	0	62	33
1416	120221	37	519	35	1	53	22
2970	346485	90	1000	106	0	118	38
1317	145790	63	637	43	5	30	26
1644	193339	78	465	47	2	100	35
870	80953	25	437	31	0	49	8
1654	122774	45	711	162	0	24	24
1054	130585	46	299	57	5	67	29
937	112611	41	248	36	0	46	20
3004	286468	144	1162	263	1	57	29
2008	241066	82	714	78	0	75	45
2547	148446	91	905	63	1	135	37
1885	204713	71	649	54	1	68	33
1626	182079	63	512	63	2	124	33
1468	140344	53	472	77	6	33	25
2445	220516	62	905	79	1	98	32
1964	243060	63	786	110	4	58	29
1381	162765	32	489	56	2	68	28
1369	182613	39	479	56	3	81	28
1659	232138	62	617	43	0	131	31
2888	265318	117	925	111	10	110	52
1290	85574	34	351	71	0	37	21
2845	310839	92	1144	62	9	130	24
1982	225060	93	669	56	7	93	41
1904	232317	54	707	74	0	118	33
1391	144966	144	458	60	0	39	32
602	43287	14	214	43	4	13	19
1743	155754	61	599	68	4	74	20
1559	164709	109	572	53	0	81	31
2014	201940	38	897	87	0	109	31
2143	235454	73	819	46	0	151	32
2146	220801	75	720	105	1	51	18
874	99466	50	273	32	0	28	23
1590	92661	61	508	133	1	40	17
1590	133328	55	506	79	0	56	20
1210	61361	77	451	51	0	27	12
2072	125930	75	699	207	4	37	17
1281	100750	72	407	67	0	83	30
1401	224549	50	465	47	4	54	31
834	82316	32	245	34	4	27	10
1105	102010	53	370	66	3	28	13
1272	101523	42	316	76	0	59	22
1944	243511	71	603	65	0	133	42
391	22938	10	154	9	0	12	1
761	41566	35	229	42	5	0	9
1605	152474	65	577	45	0	106	32
530	61857	25	192	25	4	23	11
1988	99923	66	617	115	0	44	25
1386	132487	41	411	97	0	71	36
2395	317394	86	975	53	1	116	31
387	21054	16	146	2	0	4	0
1742	209641	42	705	52	5	62	24
620	22648	19	184	44	0	12	13
449	31414	19	200	22	0	18	8
800	46698	45	274	35	0	14	13
1684	131698	65	502	74	0	60	19
1050	91735	35	382	103	0	7	18
2699	244749	95	964	144	2	98	33
1606	184510	49	537	60	7	64	40
1502	79863	37	438	134	1	29	22
1204	128423	64	369	89	8	32	38
1138	97839	38	417	42	2	25	24
568	38214	34	276	52	0	16	8
1459	151101	32	514	98	2	48	35
2158	272458	65	822	99	0	100	43
1111	172494	52	389	52	0	46	43
1421	108043	62	466	29	1	45	14
2833	328107	65	1255	125	3	129	41
1955	250579	83	694	106	0	130	38
2922	351067	95	1024	95	3	136	45
1002	158015	29	400	40	0	59	31
1060	98866	18	397	140	0	25	13
956	85439	33	350	43	0	32	28
2186	229242	247	719	128	4	63	31
3604	351619	139	1277	142	4	95	40
1035	84207	29	356	73	11	14	30
1417	120445	118	457	72	0	36	16
3261	324598	110	1402	128	0	113	37
1587	131069	67	600	61	4	47	30
1424	204271	42	480	73	0	92	35
1701	165543	65	595	148	1	70	32
1249	141722	94	436	64	0	19	27
946	116048	64	230	45	0	50	20
1926	250047	81	651	58	0	41	18
3352	299775	95	1367	97	9	91	31
1641	195838	67	564	50	1	111	31
2035	173260	63	716	37	3	41	21
2312	254488	83	747	50	10	120	39
1369	104389	45	467	105	5	135	41
1577	136084	30	671	69	0	27	13
2201	199476	70	861	46	2	87	32
961	92499	32	319	57	0	25	18
1900	224330	83	612	52	1	131	39
1254	135781	31	433	98	2	45	14
1335	74408	67	434	61	4	29	7
1597	81240	66	503	89	0	58	17
207	14688	10	85	0	0	4	0
1645	181633	70	564	48	2	47	30
2429	271856	103	824	91	1	109	37
151	7199	5	74	0	0	7	0
474	46660	20	259	7	0	12	5
141	17547	5	69	3	0	0	1
1639	133368	36	535	54	1	37	16
872	95227	34	239	70	0	37	32
1318	152601	48	438	36	2	46	24
1018	98146	40	459	37	0	15	17
1383	79619	43	426	123	3	42	11
1314	59194	31	288	247	6	7	24
1335	139942	42	498	46	0	54	22
1403	118612	46	454	72	2	54	12
910	72880	33	376	41	0	14	19
616	65475	18	225	24	2	16	13
1407	99643	55	555	45	1	33	17
771	71965	35	252	33	1	32	15
766	77272	59	208	27	2	21	16
473	49289	19	130	36	1	15	24
1376	135131	66	481	87	0	38	15
1232	108446	60	389	90	1	22	17
1521	89746	36	565	114	3	28	18
572	44296	25	173	31	0	10	20
1059	77648	47	278	45	0	31	16
1544	181528	54	609	69	0	32	16
1230	134019	53	422	51	0	32	18
1206	124064	40	445	34	1	43	22
1205	92630	40	387	60	4	27	8
1255	121848	39	339	45	0	37	17
613	52915	14	181	54	0	20	18
721	81872	45	245	25	0	32	16
1109	58981	36	384	38	7	0	23
740	53515	28	212	52	2	5	22
1126	60812	44	399	67	0	26	13
728	56375	30	229	74	7	10	13
689	65490	22	224	38	3	27	16
592	80949	17	203	30	0	11	16
995	76302	31	333	26	0	29	20
1613	104011	55	384	67	6	25	22
2048	98104	54	636	132	2	55	17
705	67989	21	185	42	0	23	18
301	30989	14	93	35	0	5	17
1803	135458	81	581	118	3	43	12
799	73504	35	248	68	0	23	7
861	63123	43	304	43	1	34	17
1186	61254	46	344	76	1	36	14
1451	74914	30	407	64	0	35	23
628	31774	23	170	48	1	0	17
1161	81437	38	312	64	0	37	14
1463	87186	54	507	56	0	28	15
742	50090	20	224	71	0	16	17
979	65745	53	340	75	0	26	21
675	56653	45	168	39	0	38	18
1241	158399	39	443	42	0	23	18
676	46455	20	204	39	0	22	17
1049	73624	24	367	93	0	30	17
620	38395	31	210	38	0	16	16
1081	91899	35	335	60	0	18	15
1688	139526	151	364	71	0	28	21
736	52164	52	178	52	0	32	16
617	51567	30	206	27	2	21	14
812	70551	31	279	59	0	23	15
1051	84856	29	387	40	1	29	17
1656	102538	57	490	79	1	50	15
705	86678	40	238	44	0	12	15
945	85709	44	343	65	0	21	10
554	34662	25	232	10	0	18	6
1597	150580	77	530	124	0	27	22
982	99611	35	291	81	0	41	21
222	19349	11	67	15	0	13	1
1212	99373	63	397	92	1	12	18
1143	86230	44	467	42	0	21	17
435	30837	19	178	10	0	8	4
532	31706	13	175	24	0	26	10
882	89806	42	299	64	0	27	16
608	62088	38	154	45	1	13	16
459	40151	29	106	22	0	16	9
578	27634	20	189	56	0	2	16
826	76990	27	194	94	0	42	17
509	37460	20	135	19	0	5	7
717	54157	19	201	35	0	37	15
637	49862	37	207	32	0	17	14
857	84337	26	280	35	0	38	14
830	64175	42	260	48	0	37	18
652	59382	49	227	49	0	29	12
707	119308	30	239	48	0	32	16
954	76702	49	333	62	0	35	21
1461	103425	67	428	96	1	17	19
672	70344	28	230	45	0	20	16
778	43410	19	292	63	0	7	1
1141	104838	49	350	71	1	46	16
680	62215	27	186	26	0	24	10
1090	69304	30	326	48	6	40	19
616	53117	22	155	29	3	3	12
285	19764	12	75	19	1	10	2
1145	86680	31	361	45	2	37	14
733	84105	20	261	45	0	17	17
888	77945	20	299	67	0	28	19
849	89113	39	300	30	0	19	14
1182	91005	29	450	36	3	29	11
528	40248	16	183	34	1	8	4
642	64187	27	238	36	0	10	16
947	50857	21	165	34	0	15	20
819	56613	19	234	37	1	15	12
757	62792	35	176	46	0	28	15
894	72535	14	329	44	0	17	16

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155212&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]1 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=155212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155212&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Correlations for all pairs of data series (method=pearson)
	pageviews	time_in_rfc	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	compendiums_reviewed
pageviews	1	0.687	0.869	0.964	0.863	0.109	0.899	0.494
time_in_rfc	0.687	1	0.412	0.473	0.559	0.217	0.616	0.569
logins	0.869	0.412	1	0.921	0.945	-0.126	0.942	0.285
compendium_views_info	0.964	0.473	0.921	1	0.853	0.067	0.875	0.415
compendium_views_pr	0.863	0.559	0.945	0.853	1	-0.319	0.996	0.141
shared_compendiums	0.109	0.217	-0.126	0.067	-0.319	1	-0.251	0.882
blogged_computations	0.899	0.616	0.942	0.875	0.996	-0.251	1	0.211
compendiums_reviewed	0.494	0.569	0.285	0.415	0.141	0.882	0.211	1

\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 \tabularnewline
pageviews & 1 & 0.687 & 0.869 & 0.964 & 0.863 & 0.109 & 0.899 & 0.494 \tabularnewline
time_in_rfc & 0.687 & 1 & 0.412 & 0.473 & 0.559 & 0.217 & 0.616 & 0.569 \tabularnewline
logins & 0.869 & 0.412 & 1 & 0.921 & 0.945 & -0.126 & 0.942 & 0.285 \tabularnewline
compendium_views_info & 0.964 & 0.473 & 0.921 & 1 & 0.853 & 0.067 & 0.875 & 0.415 \tabularnewline
compendium_views_pr & 0.863 & 0.559 & 0.945 & 0.853 & 1 & -0.319 & 0.996 & 0.141 \tabularnewline
shared_compendiums & 0.109 & 0.217 & -0.126 & 0.067 & -0.319 & 1 & -0.251 & 0.882 \tabularnewline
blogged_computations & 0.899 & 0.616 & 0.942 & 0.875 & 0.996 & -0.251 & 1 & 0.211 \tabularnewline
compendiums_reviewed & 0.494 & 0.569 & 0.285 & 0.415 & 0.141 & 0.882 & 0.211 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155212&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][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.687[/C][C]0.869[/C][C]0.964[/C][C]0.863[/C][C]0.109[/C][C]0.899[/C][C]0.494[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.687[/C][C]1[/C][C]0.412[/C][C]0.473[/C][C]0.559[/C][C]0.217[/C][C]0.616[/C][C]0.569[/C][/ROW]
[ROW][C]logins[/C][C]0.869[/C][C]0.412[/C][C]1[/C][C]0.921[/C][C]0.945[/C][C]-0.126[/C][C]0.942[/C][C]0.285[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.964[/C][C]0.473[/C][C]0.921[/C][C]1[/C][C]0.853[/C][C]0.067[/C][C]0.875[/C][C]0.415[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.863[/C][C]0.559[/C][C]0.945[/C][C]0.853[/C][C]1[/C][C]-0.319[/C][C]0.996[/C][C]0.141[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.109[/C][C]0.217[/C][C]-0.126[/C][C]0.067[/C][C]-0.319[/C][C]1[/C][C]-0.251[/C][C]0.882[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.899[/C][C]0.616[/C][C]0.942[/C][C]0.875[/C][C]0.996[/C][C]-0.251[/C][C]1[/C][C]0.211[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.494[/C][C]0.569[/C][C]0.285[/C][C]0.415[/C][C]0.141[/C][C]0.882[/C][C]0.211[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155212&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)
	pageviews	time_in_rfc	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	compendiums_reviewed
pageviews	1	0.687	0.869	0.964	0.863	0.109	0.899	0.494
time_in_rfc	0.687	1	0.412	0.473	0.559	0.217	0.616	0.569
logins	0.869	0.412	1	0.921	0.945	-0.126	0.942	0.285
compendium_views_info	0.964	0.473	0.921	1	0.853	0.067	0.875	0.415
compendium_views_pr	0.863	0.559	0.945	0.853	1	-0.319	0.996	0.141
shared_compendiums	0.109	0.217	-0.126	0.067	-0.319	1	-0.251	0.882
blogged_computations	0.899	0.616	0.942	0.875	0.996	-0.251	1	0.211
compendiums_reviewed	0.494	0.569	0.285	0.415	0.141	0.882	0.211	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_in_rfc	0.6872	0.7	0.6
p-value	(0.1999)	(0.2333)	(0.2333)
pageviews;logins	0.869	0.4104	0.3162
p-value	(0.0558)	(0.4925)	(0.4485)
pageviews;compendium_views_info	0.9641	0.9	0.8
p-value	(0.0081)	(0.0833)	(0.0833)
pageviews;compendium_views_pr	0.8629	0.5	0.4
p-value	(0.0597)	(0.45)	(0.4833)
pageviews;shared_compendiums	0.1085	0	0
p-value	(0.8621)	(1)	(1)
pageviews;blogged_computations	0.8992	0.8	0.6
p-value	(0.0378)	(0.1333)	(0.2333)
pageviews;compendiums_reviewed	0.4943	0.7182	0.527
p-value	(0.3973)	(0.1718)	(0.2065)
time_in_rfc;logins	0.4119	0.4104	0.3162
p-value	(0.4908)	(0.4925)	(0.4485)
time_in_rfc;compendium_views_info	0.4735	0.6	0.4
p-value	(0.4205)	(0.35)	(0.4833)
time_in_rfc;compendium_views_pr	0.5587	0.6	0.4
p-value	(0.3276)	(0.35)	(0.4833)
time_in_rfc;shared_compendiums	0.2167	-0.1	0
p-value	(0.7263)	(0.95)	(1)
time_in_rfc;blogged_computations	0.6164	0.8	0.6
p-value	(0.2682)	(0.1333)	(0.2333)
time_in_rfc;compendiums_reviewed	0.5694	0.5643	0.3162
p-value	(0.3164)	(0.3217)	(0.4485)
logins;compendium_views_info	0.9211	0.6669	0.527
p-value	(0.0263)	(0.2189)	(0.2065)
logins;compendium_views_pr	0.9449	0.9747	0.9487
p-value	(0.0154)	(0.0048)	(0.023)
logins;shared_compendiums	-0.1261	0.0513	-0.1054
p-value	(0.8399)	(0.9347)	(0.8005)
logins;blogged_computations	0.942	0.8208	0.7379
p-value	(0.0166)	(0.0886)	(0.077)
logins;compendiums_reviewed	0.2853	0.2895	0.2222
p-value	(0.6418)	(0.6366)	(0.6027)
compendium_views_info;compendium_views_pr	0.853	0.7	0.6
p-value	(0.0662)	(0.2333)	(0.2333)
compendium_views_info;shared_compendiums	0.067	0.3	0.2
p-value	(0.9147)	(0.6833)	(0.8167)
compendium_views_info;blogged_computations	0.8753	0.9	0.8
p-value	(0.0518)	(0.0833)	(0.0833)
compendium_views_info;compendiums_reviewed	0.4146	0.8208	0.7379
p-value	(0.4876)	(0.0886)	(0.077)
compendium_views_pr;shared_compendiums	-0.3187	0	-0.2
p-value	(0.6011)	(1)	(0.8167)
compendium_views_pr;blogged_computations	0.9962	0.9	0.8
p-value	(3e-04)	(0.0833)	(0.0833)
compendium_views_pr;compendiums_reviewed	0.141	0.3591	0.3162
p-value	(0.821)	(0.5528)	(0.4485)
shared_compendiums;blogged_computations	-0.251	0.1	0
p-value	(0.6838)	(0.95)	(1)
shared_compendiums;compendiums_reviewed	0.8823	0.6669	0.527
p-value	(0.0476)	(0.2189)	(0.2065)
blogged_computations;compendiums_reviewed	0.2111	0.6669	0.527
p-value	(0.7332)	(0.2189)	(0.2065)

\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 & 0.6872 & 0.7 & 0.6 \tabularnewline
p-value & (0.1999) & (0.2333) & (0.2333) \tabularnewline
pageviews;logins & 0.869 & 0.4104 & 0.3162 \tabularnewline
p-value & (0.0558) & (0.4925) & (0.4485) \tabularnewline
pageviews;compendium_views_info & 0.9641 & 0.9 & 0.8 \tabularnewline
p-value & (0.0081) & (0.0833) & (0.0833) \tabularnewline
pageviews;compendium_views_pr & 0.8629 & 0.5 & 0.4 \tabularnewline
p-value & (0.0597) & (0.45) & (0.4833) \tabularnewline
pageviews;shared_compendiums & 0.1085 & 0 & 0 \tabularnewline
p-value & (0.8621) & (1) & (1) \tabularnewline
pageviews;blogged_computations & 0.8992 & 0.8 & 0.6 \tabularnewline
p-value & (0.0378) & (0.1333) & (0.2333) \tabularnewline
pageviews;compendiums_reviewed & 0.4943 & 0.7182 & 0.527 \tabularnewline
p-value & (0.3973) & (0.1718) & (0.2065) \tabularnewline
time_in_rfc;logins & 0.4119 & 0.4104 & 0.3162 \tabularnewline
p-value & (0.4908) & (0.4925) & (0.4485) \tabularnewline
time_in_rfc;compendium_views_info & 0.4735 & 0.6 & 0.4 \tabularnewline
p-value & (0.4205) & (0.35) & (0.4833) \tabularnewline
time_in_rfc;compendium_views_pr & 0.5587 & 0.6 & 0.4 \tabularnewline
p-value & (0.3276) & (0.35) & (0.4833) \tabularnewline
time_in_rfc;shared_compendiums & 0.2167 & -0.1 & 0 \tabularnewline
p-value & (0.7263) & (0.95) & (1) \tabularnewline
time_in_rfc;blogged_computations & 0.6164 & 0.8 & 0.6 \tabularnewline
p-value & (0.2682) & (0.1333) & (0.2333) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.5694 & 0.5643 & 0.3162 \tabularnewline
p-value & (0.3164) & (0.3217) & (0.4485) \tabularnewline
logins;compendium_views_info & 0.9211 & 0.6669 & 0.527 \tabularnewline
p-value & (0.0263) & (0.2189) & (0.2065) \tabularnewline
logins;compendium_views_pr & 0.9449 & 0.9747 & 0.9487 \tabularnewline
p-value & (0.0154) & (0.0048) & (0.023) \tabularnewline
logins;shared_compendiums & -0.1261 & 0.0513 & -0.1054 \tabularnewline
p-value & (0.8399) & (0.9347) & (0.8005) \tabularnewline
logins;blogged_computations & 0.942 & 0.8208 & 0.7379 \tabularnewline
p-value & (0.0166) & (0.0886) & (0.077) \tabularnewline
logins;compendiums_reviewed & 0.2853 & 0.2895 & 0.2222 \tabularnewline
p-value & (0.6418) & (0.6366) & (0.6027) \tabularnewline
compendium_views_info;compendium_views_pr & 0.853 & 0.7 & 0.6 \tabularnewline
p-value & (0.0662) & (0.2333) & (0.2333) \tabularnewline
compendium_views_info;shared_compendiums & 0.067 & 0.3 & 0.2 \tabularnewline
p-value & (0.9147) & (0.6833) & (0.8167) \tabularnewline
compendium_views_info;blogged_computations & 0.8753 & 0.9 & 0.8 \tabularnewline
p-value & (0.0518) & (0.0833) & (0.0833) \tabularnewline
compendium_views_info;compendiums_reviewed & 0.4146 & 0.8208 & 0.7379 \tabularnewline
p-value & (0.4876) & (0.0886) & (0.077) \tabularnewline
compendium_views_pr;shared_compendiums & -0.3187 & 0 & -0.2 \tabularnewline
p-value & (0.6011) & (1) & (0.8167) \tabularnewline
compendium_views_pr;blogged_computations & 0.9962 & 0.9 & 0.8 \tabularnewline
p-value & (3e-04) & (0.0833) & (0.0833) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.141 & 0.3591 & 0.3162 \tabularnewline
p-value & (0.821) & (0.5528) & (0.4485) \tabularnewline
shared_compendiums;blogged_computations & -0.251 & 0.1 & 0 \tabularnewline
p-value & (0.6838) & (0.95) & (1) \tabularnewline
shared_compendiums;compendiums_reviewed & 0.8823 & 0.6669 & 0.527 \tabularnewline
p-value & (0.0476) & (0.2189) & (0.2065) \tabularnewline
blogged_computations;compendiums_reviewed & 0.2111 & 0.6669 & 0.527 \tabularnewline
p-value & (0.7332) & (0.2189) & (0.2065) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155212&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]0.6872[/C][C]0.7[/C][C]0.6[/C][/ROW]
[ROW][C]p-value[/C][C](0.1999)[/C][C](0.2333)[/C][C](0.2333)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.869[/C][C]0.4104[/C][C]0.3162[/C][/ROW]
[ROW][C]p-value[/C][C](0.0558)[/C][C](0.4925)[/C][C](0.4485)[/C][/ROW]
[ROW][C]pageviews;compendium_views_info[/C][C]0.9641[/C][C]0.9[/C][C]0.8[/C][/ROW]
[ROW][C]p-value[/C][C](0.0081)[/C][C](0.0833)[/C][C](0.0833)[/C][/ROW]
[ROW][C]pageviews;compendium_views_pr[/C][C]0.8629[/C][C]0.5[/C][C]0.4[/C][/ROW]
[ROW][C]p-value[/C][C](0.0597)[/C][C](0.45)[/C][C](0.4833)[/C][/ROW]
[ROW][C]pageviews;shared_compendiums[/C][C]0.1085[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]p-value[/C][C](0.8621)[/C][C](1)[/C][C](1)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.8992[/C][C]0.8[/C][C]0.6[/C][/ROW]
[ROW][C]p-value[/C][C](0.0378)[/C][C](0.1333)[/C][C](0.2333)[/C][/ROW]
[ROW][C]pageviews;compendiums_reviewed[/C][C]0.4943[/C][C]0.7182[/C][C]0.527[/C][/ROW]
[ROW][C]p-value[/C][C](0.3973)[/C][C](0.1718)[/C][C](0.2065)[/C][/ROW]
[ROW][C]time_in_rfc;logins[/C][C]0.4119[/C][C]0.4104[/C][C]0.3162[/C][/ROW]
[ROW][C]p-value[/C][C](0.4908)[/C][C](0.4925)[/C][C](0.4485)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_info[/C][C]0.4735[/C][C]0.6[/C][C]0.4[/C][/ROW]
[ROW][C]p-value[/C][C](0.4205)[/C][C](0.35)[/C][C](0.4833)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_pr[/C][C]0.5587[/C][C]0.6[/C][C]0.4[/C][/ROW]
[ROW][C]p-value[/C][C](0.3276)[/C][C](0.35)[/C][C](0.4833)[/C][/ROW]
[ROW][C]time_in_rfc;shared_compendiums[/C][C]0.2167[/C][C]-0.1[/C][C]0[/C][/ROW]
[ROW][C]p-value[/C][C](0.7263)[/C][C](0.95)[/C][C](1)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_computations[/C][C]0.6164[/C][C]0.8[/C][C]0.6[/C][/ROW]
[ROW][C]p-value[/C][C](0.2682)[/C][C](0.1333)[/C][C](0.2333)[/C][/ROW]
[ROW][C]time_in_rfc;compendiums_reviewed[/C][C]0.5694[/C][C]0.5643[/C][C]0.3162[/C][/ROW]
[ROW][C]p-value[/C][C](0.3164)[/C][C](0.3217)[/C][C](0.4485)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/C][C]0.9211[/C][C]0.6669[/C][C]0.527[/C][/ROW]
[ROW][C]p-value[/C][C](0.0263)[/C][C](0.2189)[/C][C](0.2065)[/C][/ROW]
[ROW][C]logins;compendium_views_pr[/C][C]0.9449[/C][C]0.9747[/C][C]0.9487[/C][/ROW]
[ROW][C]p-value[/C][C](0.0154)[/C][C](0.0048)[/C][C](0.023)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]-0.1261[/C][C]0.0513[/C][C]-0.1054[/C][/ROW]
[ROW][C]p-value[/C][C](0.8399)[/C][C](0.9347)[/C][C](0.8005)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.942[/C][C]0.8208[/C][C]0.7379[/C][/ROW]
[ROW][C]p-value[/C][C](0.0166)[/C][C](0.0886)[/C][C](0.077)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.2853[/C][C]0.2895[/C][C]0.2222[/C][/ROW]
[ROW][C]p-value[/C][C](0.6418)[/C][C](0.6366)[/C][C](0.6027)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/C][C]0.853[/C][C]0.7[/C][C]0.6[/C][/ROW]
[ROW][C]p-value[/C][C](0.0662)[/C][C](0.2333)[/C][C](0.2333)[/C][/ROW]
[ROW][C]compendium_views_info;shared_compendiums[/C][C]0.067[/C][C]0.3[/C][C]0.2[/C][/ROW]
[ROW][C]p-value[/C][C](0.9147)[/C][C](0.6833)[/C][C](0.8167)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.8753[/C][C]0.9[/C][C]0.8[/C][/ROW]
[ROW][C]p-value[/C][C](0.0518)[/C][C](0.0833)[/C][C](0.0833)[/C][/ROW]
[ROW][C]compendium_views_info;compendiums_reviewed[/C][C]0.4146[/C][C]0.8208[/C][C]0.7379[/C][/ROW]
[ROW][C]p-value[/C][C](0.4876)[/C][C](0.0886)[/C][C](0.077)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]-0.3187[/C][C]0[/C][C]-0.2[/C][/ROW]
[ROW][C]p-value[/C][C](0.6011)[/C][C](1)[/C][C](0.8167)[/C][/ROW]
[ROW][C]compendium_views_pr;blogged_computations[/C][C]0.9962[/C][C]0.9[/C][C]0.8[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0833)[/C][C](0.0833)[/C][/ROW]
[ROW][C]compendium_views_pr;compendiums_reviewed[/C][C]0.141[/C][C]0.3591[/C][C]0.3162[/C][/ROW]
[ROW][C]p-value[/C][C](0.821)[/C][C](0.5528)[/C][C](0.4485)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]-0.251[/C][C]0.1[/C][C]0[/C][/ROW]
[ROW][C]p-value[/C][C](0.6838)[/C][C](0.95)[/C][C](1)[/C][/ROW]
[ROW][C]shared_compendiums;compendiums_reviewed[/C][C]0.8823[/C][C]0.6669[/C][C]0.527[/C][/ROW]
[ROW][C]p-value[/C][C](0.0476)[/C][C](0.2189)[/C][C](0.2065)[/C][/ROW]
[ROW][C]blogged_computations;compendiums_reviewed[/C][C]0.2111[/C][C]0.6669[/C][C]0.527[/C][/ROW]
[ROW][C]p-value[/C][C](0.7332)[/C][C](0.2189)[/C][C](0.2065)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155212&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155212&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	0.6872	0.7	0.6
p-value	(0.1999)	(0.2333)	(0.2333)
pageviews;logins	0.869	0.4104	0.3162
p-value	(0.0558)	(0.4925)	(0.4485)
pageviews;compendium_views_info	0.9641	0.9	0.8
p-value	(0.0081)	(0.0833)	(0.0833)
pageviews;compendium_views_pr	0.8629	0.5	0.4
p-value	(0.0597)	(0.45)	(0.4833)
pageviews;shared_compendiums	0.1085	0	0
p-value	(0.8621)	(1)	(1)
pageviews;blogged_computations	0.8992	0.8	0.6
p-value	(0.0378)	(0.1333)	(0.2333)
pageviews;compendiums_reviewed	0.4943	0.7182	0.527
p-value	(0.3973)	(0.1718)	(0.2065)
time_in_rfc;logins	0.4119	0.4104	0.3162
p-value	(0.4908)	(0.4925)	(0.4485)
time_in_rfc;compendium_views_info	0.4735	0.6	0.4
p-value	(0.4205)	(0.35)	(0.4833)
time_in_rfc;compendium_views_pr	0.5587	0.6	0.4
p-value	(0.3276)	(0.35)	(0.4833)
time_in_rfc;shared_compendiums	0.2167	-0.1	0
p-value	(0.7263)	(0.95)	(1)
time_in_rfc;blogged_computations	0.6164	0.8	0.6
p-value	(0.2682)	(0.1333)	(0.2333)
time_in_rfc;compendiums_reviewed	0.5694	0.5643	0.3162
p-value	(0.3164)	(0.3217)	(0.4485)
logins;compendium_views_info	0.9211	0.6669	0.527
p-value	(0.0263)	(0.2189)	(0.2065)
logins;compendium_views_pr	0.9449	0.9747	0.9487
p-value	(0.0154)	(0.0048)	(0.023)
logins;shared_compendiums	-0.1261	0.0513	-0.1054
p-value	(0.8399)	(0.9347)	(0.8005)
logins;blogged_computations	0.942	0.8208	0.7379
p-value	(0.0166)	(0.0886)	(0.077)
logins;compendiums_reviewed	0.2853	0.2895	0.2222
p-value	(0.6418)	(0.6366)	(0.6027)
compendium_views_info;compendium_views_pr	0.853	0.7	0.6
p-value	(0.0662)	(0.2333)	(0.2333)
compendium_views_info;shared_compendiums	0.067	0.3	0.2
p-value	(0.9147)	(0.6833)	(0.8167)
compendium_views_info;blogged_computations	0.8753	0.9	0.8
p-value	(0.0518)	(0.0833)	(0.0833)
compendium_views_info;compendiums_reviewed	0.4146	0.8208	0.7379
p-value	(0.4876)	(0.0886)	(0.077)
compendium_views_pr;shared_compendiums	-0.3187	0	-0.2
p-value	(0.6011)	(1)	(0.8167)
compendium_views_pr;blogged_computations	0.9962	0.9	0.8
p-value	(3e-04)	(0.0833)	(0.0833)
compendium_views_pr;compendiums_reviewed	0.141	0.3591	0.3162
p-value	(0.821)	(0.5528)	(0.4485)
shared_compendiums;blogged_computations	-0.251	0.1	0
p-value	(0.6838)	(0.95)	(1)
shared_compendiums;compendiums_reviewed	0.8823	0.6669	0.527
p-value	(0.0476)	(0.2189)	(0.2065)
blogged_computations;compendiums_reviewed	0.2111	0.6669	0.527
p-value	(0.7332)	(0.2189)	(0.2065)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code