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Kendall tau Correlation Matrix

Date of computation

Fri, 07 Dec 2012 09:36:05 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/07/t1354890988f33cgzzv2a9ta16.htm/, Retrieved Thu, 31 Oct 2024 22:45:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197401, Retrieved Thu, 31 Oct 2024 22:45:44 +0000

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Estimated Impact

122

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] [Pearson Correlati...] [2012-12-07 14:05:39] [2bd452e91ac81344e4a11ef6d5439293]
-  MP       [Kendall tau Correlation Matrix] [Pearson Correlati...] [2012-12-07 14:36:05] [e3d79eec5d0d9e3c05706137ffeca8bc] [Current]

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Dataseries X:

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Boxplots

1418	210907	56	3	79	30
869	120982	56	4	58	28
1530	176508	54	12	60	38
2172	179321	89	2	108	30
901	123185	40	1	49	22
463	52746	25	3	0	26
3201	385534	92	0	121	25
371	33170	18	0	1	18
1192	101645	63	0	20	11
1583	149061	44	5	43	26
1439	165446	33	0	69	25
1764	237213	84	0	78	38
1495	173326	88	7	86	44
1373	133131	55	7	44	30
2187	258873	60	3	104	40
1491	180083	66	9	63	34
4041	324799	154	0	158	47
1706	230964	53	4	102	30
2152	236785	119	3	77	31
1036	135473	41	0	82	23
1882	202925	61	7	115	36
1929	215147	58	0	101	36
2242	344297	75	1	80	30
1220	153935	33	5	50	25
1289	132943	40	7	83	39
2515	174724	92	0	123	34
2147	174415	100	0	73	31
2352	225548	112	5	81	31
1638	223632	73	0	105	33
1222	124817	40	0	47	25
1812	221698	45	0	105	33
1677	210767	60	3	94	35
1579	170266	62	4	44	42
1731	260561	75	1	114	43
807	84853	31	4	38	30
2452	294424	77	2	107	33
829	101011	34	0	30	13
1940	215641	46	0	71	32
2662	325107	99	0	84	36
186	7176	17	0	0	0
1499	167542	66	2	59	28
865	106408	30	1	33	14
1793	96560	76	0	42	17
2527	265769	146	2	96	32
2747	269651	67	10	106	30
1324	149112	56	6	56	35
2702	175824	107	0	57	20
1383	152871	58	5	59	28
1179	111665	34	4	39	28
2099	116408	61	1	34	39
4308	362301	119	2	76	34
918	78800	42	2	20	26
1831	183167	66	0	91	39
3373	277965	89	8	115	39
1713	150629	44	3	85	33
1438	168809	66	0	76	28
496	24188	24	0	8	4
2253	329267	259	8	79	39
744	65029	17	5	21	18
1161	101097	64	3	30	14
2352	218946	41	1	76	29
2144	244052	68	5	101	44
4691	341570	168	1	94	21
1112	103597	43	1	27	16
2694	233328	132	5	92	28
1973	256462	105	0	123	35
1769	206161	71	12	75	28
3148	311473	112	8	128	38
2474	235800	94	8	105	23
2084	177939	82	8	55	36
1954	207176	70	8	56	32
1226	196553	57	2	41	29
1389	174184	53	0	72	25
1496	143246	103	5	67	27
2269	187559	121	8	75	36
1833	187681	62	2	114	28
1268	119016	52	5	118	23
1943	182192	52	12	77	40
893	73566	32	6	22	23
1762	194979	62	7	66	40
1403	167488	45	2	69	28
1425	143756	46	0	105	34
1857	275541	63	4	116	33
1840	243199	75	3	88	28
1502	182999	88	6	73	34
1441	135649	46	2	99	30
1420	152299	53	0	62	33
1416	120221	37	1	53	22
2970	346485	90	0	118	38
1317	145790	63	5	30	26
1644	193339	78	2	100	35
870	80953	25	0	49	8
1654	122774	45	0	24	24
1054	130585	46	5	67	29
937	112611	41	0	46	20
3004	286468	144	1	57	29
2008	241066	82	0	75	45
2547	148446	91	1	135	37
1885	204713	71	1	68	33
1626	182079	63	2	124	33
1468	140344	53	6	33	25
2445	220516	62	1	98	32
1964	243060	63	4	58	29
1381	162765	32	2	68	28
1369	182613	39	3	81	28
1659	232138	62	0	131	31
2888	265318	117	10	110	52
1290	85574	34	0	37	21
2845	310839	92	9	130	24
1982	225060	93	7	93	41
1904	232317	54	0	118	33
1391	144966	144	0	39	32
602	43287	14	4	13	19
1743	155754	61	4	74	20
1559	164709	109	0	81	31
2014	201940	38	0	109	31
2143	235454	73	0	151	32
2146	220801	75	1	51	18
874	99466	50	0	28	23
1590	92661	61	1	40	17
1590	133328	55	0	56	20
1210	61361	77	0	27	12
2072	125930	75	4	37	17
1281	100750	72	0	83	30
1401	224549	50	4	54	31
834	82316	32	4	27	10
1105	102010	53	3	28	13
1272	101523	42	0	59	22
1944	243511	71	0	133	42
391	22938	10	0	12	1
761	41566	35	5	0	9
1605	152474	65	0	106	32
530	61857	25	4	23	11
1988	99923	66	0	44	25
1386	132487	41	0	71	36
2395	317394	86	1	116	31
387	21054	16	0	4	0
1742	209641	42	5	62	24
620	22648	19	0	12	13
449	31414	19	0	18	8
800	46698	45	0	14	13
1684	131698	65	0	60	19
1050	91735	35	0	7	18
2699	244749	95	2	98	33
1606	184510	49	7	64	40
1502	79863	37	1	29	22
1204	128423	64	8	32	38
1138	97839	38	2	25	24
568	38214	34	0	16	8
1459	151101	32	2	48	35
2158	272458	65	0	100	43
1111	172494	52	0	46	43
1421	108043	62	1	45	14
2833	328107	65	3	129	41
1955	250579	83	0	130	38
2922	351067	95	3	136	45
1002	158015	29	0	59	31
1060	98866	18	0	25	13
956	85439	33	0	32	28
2186	229242	247	4	63	31
3604	351619	139	4	95	40
1035	84207	29	11	14	30
1417	120445	118	0	36	16
3261	324598	110	0	113	37
1587	131069	67	4	47	30
1424	204271	42	0	92	35
1701	165543	65	1	70	32
1249	141722	94	0	19	27
946	116048	64	0	50	20
1926	250047	81	0	41	18
3352	299775	95	9	91	31
1641	195838	67	1	111	31
2035	173260	63	3	41	21
2312	254488	83	10	120	39
1369	104389	45	5	135	41
1577	136084	30	0	27	13
2201	199476	70	2	87	32
961	92499	32	0	25	18
1900	224330	83	1	131	39
1254	135781	31	2	45	14
1335	74408	67	4	29	7
1597	81240	66	0	58	17
207	14688	10	0	4	0
1645	181633	70	2	47	30
2429	271856	103	1	109	37
151	7199	5	0	7	0
474	46660	20	0	12	5
141	17547	5	0	0	1
1639	133368	36	1	37	16
872	95227	34	0	37	32
1318	152601	48	2	46	24
1018	98146	40	0	15	17
1383	79619	43	3	42	11
1314	59194	31	6	7	24
1335	139942	42	0	54	22
1403	118612	46	2	54	12
910	72880	33	0	14	19
616	65475	18	2	16	13
1407	99643	55	1	33	17
771	71965	35	1	32	15
766	77272	59	2	21	16
473	49289	19	1	15	24
1376	135131	66	0	38	15
1232	108446	60	1	22	17
1521	89746	36	3	28	18
572	44296	25	0	10	20
1059	77648	47	0	31	16
1544	181528	54	0	32	16
1230	134019	53	0	32	18
1206	124064	40	1	43	22
1205	92630	40	4	27	8
1255	121848	39	0	37	17
613	52915	14	0	20	18
721	81872	45	0	32	16
1109	58981	36	7	0	23
740	53515	28	2	5	22
1126	60812	44	0	26	13
728	56375	30	7	10	13
689	65490	22	3	27	16
592	80949	17	0	11	16
995	76302	31	0	29	20
1613	104011	55	6	25	22
2048	98104	54	2	55	17
705	67989	21	0	23	18
301	30989	14	0	5	17
1803	135458	81	3	43	12
799	73504	35	0	23	7
861	63123	43	1	34	17
1186	61254	46	1	36	14
1451	74914	30	0	35	23
628	31774	23	1	0	17
1161	81437	38	0	37	14
1463	87186	54	0	28	15
742	50090	20	0	16	17
979	65745	53	0	26	21
675	56653	45	0	38	18
1241	158399	39	0	23	18
676	46455	20	0	22	17
1049	73624	24	0	30	17
620	38395	31	0	16	16
1081	91899	35	0	18	15
1688	139526	151	0	28	21
736	52164	52	0	32	16
617	51567	30	2	21	14
812	70551	31	0	23	15
1051	84856	29	1	29	17
1656	102538	57	1	50	15
705	86678	40	0	12	15
945	85709	44	0	21	10
554	34662	25	0	18	6
1597	150580	77	0	27	22
982	99611	35	0	41	21
222	19349	11	0	13	1
1212	99373	63	1	12	18
1143	86230	44	0	21	17
435	30837	19	0	8	4
532	31706	13	0	26	10
882	89806	42	0	27	16
608	62088	38	1	13	16
459	40151	29	0	16	9
578	27634	20	0	2	16
826	76990	27	0	42	17
509	37460	20	0	5	7
717	54157	19	0	37	15
637	49862	37	0	17	14
857	84337	26	0	38	14
830	64175	42	0	37	18
652	59382	49	0	29	12
707	119308	30	0	32	16
954	76702	49	0	35	21
1461	103425	67	1	17	19
672	70344	28	0	20	16
778	43410	19	0	7	1
1141	104838	49	1	46	16
680	62215	27	0	24	10
1090	69304	30	6	40	19
616	53117	22	3	3	12
285	19764	12	1	10	2
1145	86680	31	2	37	14
733	84105	20	0	17	17
888	77945	20	0	28	19
849	89113	39	0	19	14
1182	91005	29	3	29	11
528	40248	16	1	8	4
642	64187	27	0	10	16
947	50857	21	0	15	20
819	56613	19	1	15	12
757	62792	35	0	28	15
894	72535	14	0	17	16

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197401&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197401&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197401&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	4 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Correlations for all pairs of data series (method=kendall)
	pageviews	time	logins	compendiumviews	sharedcompendiums	bloggedcomputations
pageviews	1	0.739	0.661	0.251	0.627	0.527
time	0.739	1	0.609	0.245	0.683	0.59
logins	0.661	0.609	1	0.208	0.523	0.453
compendiumviews	0.251	0.245	0.208	1	0.207	0.262
sharedcompendiums	0.627	0.683	0.523	0.207	1	0.574
bloggedcomputations	0.527	0.59	0.453	0.262	0.574	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pageviews & time & logins & compendiumviews & sharedcompendiums & bloggedcomputations \tabularnewline
pageviews & 1 & 0.739 & 0.661 & 0.251 & 0.627 & 0.527 \tabularnewline
time & 0.739 & 1 & 0.609 & 0.245 & 0.683 & 0.59 \tabularnewline
logins & 0.661 & 0.609 & 1 & 0.208 & 0.523 & 0.453 \tabularnewline
compendiumviews & 0.251 & 0.245 & 0.208 & 1 & 0.207 & 0.262 \tabularnewline
sharedcompendiums & 0.627 & 0.683 & 0.523 & 0.207 & 1 & 0.574 \tabularnewline
bloggedcomputations & 0.527 & 0.59 & 0.453 & 0.262 & 0.574 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197401&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time[/C][C]logins[/C][C]compendiumviews[/C][C]sharedcompendiums[/C][C]bloggedcomputations[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.739[/C][C]0.661[/C][C]0.251[/C][C]0.627[/C][C]0.527[/C][/ROW]
[ROW][C]time[/C][C]0.739[/C][C]1[/C][C]0.609[/C][C]0.245[/C][C]0.683[/C][C]0.59[/C][/ROW]
[ROW][C]logins[/C][C]0.661[/C][C]0.609[/C][C]1[/C][C]0.208[/C][C]0.523[/C][C]0.453[/C][/ROW]
[ROW][C]compendiumviews[/C][C]0.251[/C][C]0.245[/C][C]0.208[/C][C]1[/C][C]0.207[/C][C]0.262[/C][/ROW]
[ROW][C]sharedcompendiums[/C][C]0.627[/C][C]0.683[/C][C]0.523[/C][C]0.207[/C][C]1[/C][C]0.574[/C][/ROW]
[ROW][C]bloggedcomputations[/C][C]0.527[/C][C]0.59[/C][C]0.453[/C][C]0.262[/C][C]0.574[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197401&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197401&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	logins	compendiumviews	sharedcompendiums	bloggedcomputations
pageviews	1	0.739	0.661	0.251	0.627	0.527
time	0.739	1	0.609	0.245	0.683	0.59
logins	0.661	0.609	1	0.208	0.523	0.453
compendiumviews	0.251	0.245	0.208	1	0.207	0.262
sharedcompendiums	0.627	0.683	0.523	0.207	1	0.574
bloggedcomputations	0.527	0.59	0.453	0.262	0.574	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time	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;compendiumviews	0.2972	0.341	0.2511
p-value	(0)	(0)	(0)
pageviews;sharedcompendiums	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
pageviews;bloggedcomputations	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
time;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time;compendiumviews	0.2941	0.3296	0.2453
p-value	(0)	(0)	(0)
time;sharedcompendiums	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time;bloggedcomputations	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
logins;compendiumviews	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;sharedcompendiums	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;bloggedcomputations	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
compendiumviews;sharedcompendiums	0.238	0.2759	0.2074
p-value	(0)	(0)	(0)
compendiumviews;bloggedcomputations	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
sharedcompendiums;bloggedcomputations	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
pageviews;time & 0.8928 & 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;compendiumviews & 0.2972 & 0.341 & 0.2511 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;sharedcompendiums & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;bloggedcomputations & 0.6652 & 0.7185 & 0.5273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;compendiumviews & 0.2941 & 0.3296 & 0.2453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;sharedcompendiums & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;bloggedcomputations & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiumviews & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;sharedcompendiums & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;bloggedcomputations & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiumviews;sharedcompendiums & 0.238 & 0.2759 & 0.2074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiumviews;bloggedcomputations & 0.3895 & 0.3511 & 0.2616 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sharedcompendiums;bloggedcomputations & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197401&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]pageviews;time[/C][C]0.8928[/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;compendiumviews[/C][C]0.2972[/C][C]0.341[/C][C]0.2511[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;sharedcompendiums[/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;bloggedcomputations[/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]time;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;compendiumviews[/C][C]0.2941[/C][C]0.3296[/C][C]0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;sharedcompendiums[/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;bloggedcomputations[/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]logins;compendiumviews[/C][C]0.2505[/C][C]0.2795[/C][C]0.2078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;sharedcompendiums[/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;bloggedcomputations[/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]compendiumviews;sharedcompendiums[/C][C]0.238[/C][C]0.2759[/C][C]0.2074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiumviews;bloggedcomputations[/C][C]0.3895[/C][C]0.3511[/C][C]0.2616[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sharedcompendiums;bloggedcomputations[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197401&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197401&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	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;compendiumviews	0.2972	0.341	0.2511
p-value	(0)	(0)	(0)
pageviews;sharedcompendiums	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
pageviews;bloggedcomputations	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
time;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time;compendiumviews	0.2941	0.3296	0.2453
p-value	(0)	(0)	(0)
time;sharedcompendiums	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time;bloggedcomputations	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
logins;compendiumviews	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;sharedcompendiums	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;bloggedcomputations	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
compendiumviews;sharedcompendiums	0.238	0.2759	0.2074
p-value	(0)	(0)	(0)
compendiumviews;bloggedcomputations	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
sharedcompendiums;bloggedcomputations	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 2 ; par2 = none ; par3 = 3 ; par4 = no ;

Parameters (R input):

par1 = kendall ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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