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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 21 Dec 2011 07:14:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t1324469665q9pfcq97oe8eo95.htm/, Retrieved Tue, 07 May 2024 16:02:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158563, Retrieved Tue, 07 May 2024 16:02:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] ['Kedall's Tau Cor...] [2011-12-21 12:14:12] [972100275af27f610aa6d6cf2b8004c8] [Current]
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Dataseries X:
1418	210907	81	30	94	145
869	120982	55	28	103	101
1530	176508	50	38	93	98
2172	179321	125	30	103	132
901	123185	40	22	51	60
463	52746	37	26	70	38
3201	385534	63	25	91	144
371	33170	44	18	22	5
1192	101645	88	11	38	28
1583	149061	66	26	93	84
1439	165446	57	25	60	79
1764	237213	74	38	123	127
1495	173326	49	44	148	78
1373	133131	52	30	90	60
2187	258873	88	40	124	131
1491	180083	36	34	70	84
4041	324799	108	47	168	133
1706	230964	43	30	115	150
2152	236785	75	31	71	91
1036	135473	32	23	66	132
1882	202925	44	36	134	136
1929	215147	85	36	117	124
2242	344297	86	30	108	118
1220	153935	56	25	84	70
1289	132943	50	39	156	107
2515	174724	135	34	120	119
2147	174415	63	31	114	89
2352	225548	81	31	94	112
1638	223632	52	33	120	108
1222	124817	44	25	81	52
1812	221698	113	33	110	112
1677	210767	39	35	133	116
1579	170266	73	42	122	123
1731	260561	48	43	158	125
807	84853	33	30	109	27
2452	294424	59	33	124	162
829	101011	41	13	39	32
1940	215641	69	32	92	64
2662	325107	64	36	126	92
186	7176	1	0	0	0
1499	167542	59	28	70	83
865	106408	32	14	37	41
1793	96560	129	17	38	47
2527	265769	37	32	120	120
2747	269651	31	30	93	105
1324	149112	65	35	95	79
2702	175824	107	20	77	65
1383	152871	74	28	90	70
1179	111665	54	28	80	55
2099	116408	76	39	31	39
4308	362301	715	34	110	67
918	78800	57	26	66	21
1831	183167	66	39	138	127
3373	277965	106	39	133	152
1713	150629	54	33	113	113
1438	168809	32	28	100	99
496	24188	20	4	7	7
2253	329267	71	39	140	141
744	65029	21	18	61	21
1161	101097	70	14	41	35
2352	218946	112	29	96	109
2144	244052	66	44	164	133
4691	341570	190	21	78	123
1112	103597	66	16	49	26
2694	233328	165	28	102	230
1973	256462	56	35	124	166
1769	206161	61	28	99	68
3148	311473	53	38	129	147
2474	235800	127	23	62	179
2084	177939	63	36	73	61
1954	207176	38	32	114	101
1226	196553	50	29	99	108
1389	174184	52	25	70	90
1496	143246	42	27	104	114
2269	187559	76	36	116	103
1833	187681	67	28	91	142
1268	119016	50	23	74	79
1943	182192	53	40	138	88
893	73566	39	23	67	25
1762	194979	50	40	151	83
1403	167488	77	28	72	113
1425	143756	57	34	120	118
1857	275541	73	33	115	110
1840	243199	34	28	105	129
1502	182999	39	34	104	51
1441	135649	46	30	108	93
1420	152299	63	33	98	76
1416	120221	35	22	69	49
2970	346485	106	38	111	118
1317	145790	43	26	99	38
1644	193339	47	35	71	141
870	80953	31	8	27	58
1654	122774	162	24	69	27
1054	130585	57	29	107	91
937	112611	36	20	73	48
3004	286468	263	29	107	63
2008	241066	78	45	93	56
2547	148446	63	37	129	144
1885	204713	54	33	69	73
1626	182079	63	33	118	168
1468	140344	77	25	73	64
2445	220516	79	32	119	97
1964	243060	110	29	104	117
1381	162765	56	28	107	100
1369	182613	56	28	99	149
1659	232138	43	31	90	187
2888	265318	111	52	197	127
1290	85574	71	21	36	37
2845	310839	62	24	85	245
1982	225060	56	41	139	87
1904	232317	74	33	106	177
1391	144966	60	32	50	49
602	43287	43	19	64	49
1743	155754	68	20	31	73
1559	164709	53	31	63	177
2014	201940	87	31	92	94
2143	235454	46	32	106	117
2146	220801	105	18	63	60
874	99466	32	23	69	55
1590	92661	133	17	41	39
1590	133328	79	20	56	64
1210	61361	51	12	25	26
2072	125930	207	17	65	64
1281	100750	67	30	93	58
1401	224549	47	31	114	95
834	82316	34	10	38	25
1105	102010	66	13	44	26
1272	101523	76	22	87	76
1944	243511	65	42	110	129
391	22938	9	1	0	11
761	41566	42	9	27	2
1605	152474	45	32	83	101
530	61857	25	11	30	28
1988	99923	115	25	80	36
1386	132487	97	36	98	89
2395	317394	53	31	82	193
387	21054	2	0	0	4
1742	209641	52	24	60	84
620	22648	44	13	28	23
449	31414	22	8	9	39
800	46698	35	13	33	14
1684	131698	74	19	59	78
1050	91735	103	18	49	14
2699	244749	144	33	115	101
1606	184510	60	40	140	82
1502	79863	134	22	49	24
1204	128423	89	38	120	36
1138	97839	42	24	66	75
568	38214	52	8	21	16
1459	151101	98	35	124	55
2158	272458	99	43	152	131
1111	172494	52	43	139	131
1421	108043	29	14	38	39
2833	328107	125	41	144	144
1955	250579	106	38	120	139
2922	351067	95	45	160	211
1002	158015	40	31	114	78
1060	98866	140	13	39	50
956	85439	43	28	78	39
2186	229242	128	31	119	90
3604	351619	142	40	141	166
1035	84207	73	30	101	12
1417	120445	72	16	56	57
3261	324598	128	37	133	133
1587	131069	61	30	83	69
1424	204271	73	35	116	119
1701	165543	148	32	90	119
1249	141722	64	27	36	65
946	116048	45	20	50	61
1926	250047	58	18	61	49
3352	299775	97	31	97	101
1641	195838	50	31	98	196
2035	173260	37	21	78	15
2312	254488	50	39	117	136
1369	104389	105	41	148	89
1577	136084	69	13	41	40
2201	199476	46	32	105	123
961	92499	57	18	55	21
1900	224330	52	39	132	163
1254	135781	98	14	44	29
1335	74408	61	7	21	35
1597	81240	89	17	50	13
207	14688	0	0	0	5
1645	181633	48	30	73	96
2429	271856	91	37	86	151
151	7199	0	0	0	6
474	46660	7	5	13	13
141	17547	3	1	4	3
1639	133368	54	16	57	56
872	95227	70	32	48	23
1318	152601	36	24	46	57
1018	98146	37	17	48	14
1383	79619	123	11	32	43
1314	59194	247	24	68	20
1335	139942	46	22	87	72
1403	118612	72	12	43	87
910	72880	41	19	67	21
616	65475	24	13	46	56
1407	99643	45	17	46	59
771	71965	33	15	56	82
766	77272	27	16	48	43
473	49289	36	24	44	25
1376	135131	87	15	60	38
1232	108446	90	17	65	25
1521	89746	114	18	55	38
572	44296	31	20	38	12
1059	77648	45	16	52	29
1544	181528	69	16	60	47
1230	134019	51	18	54	45
1206	124064	34	22	86	40
1205	92630	60	8	24	30
1255	121848	45	17	52	41
613	52915	54	18	49	25
721	81872	25	16	61	23
1109	58981	38	23	61	14
740	53515	52	22	81	16
1126	60812	67	13	43	26
728	56375	74	13	40	21
689	65490	38	16	40	27
592	80949	30	16	56	9
995	76302	26	20	68	33
1613	104011	67	22	79	42
2048	98104	132	17	47	68
705	67989	42	18	57	32
301	30989	35	17	41	6
1803	135458	118	12	29	67
799	73504	68	7	3	33
861	63123	43	17	60	77
1186	61254	76	14	30	46
1451	74914	64	23	79	30
628	31774	48	17	47	0
1161	81437	64	14	40	36
1463	87186	56	15	48	46
742	50090	71	17	36	18
979	65745	75	21	42	48
675	56653	39	18	49	29
1241	158399	42	18	57	28
676	46455	39	17	12	34
1049	73624	93	17	40	33
620	38395	38	16	43	34
1081	91899	60	15	33	33
1688	139526	71	21	77	80
736	52164	52	16	43	32
617	51567	27	14	45	30
812	70551	59	15	47	41
1051	84856	40	17	43	41
1656	102538	79	15	45	51
705	86678	44	15	50	18
945	85709	65	10	35	34
554	34662	10	6	7	31
1597	150580	124	22	71	39
982	99611	81	21	67	54
222	19349	15	1	0	14
1212	99373	92	18	62	24
1143	86230	42	17	54	24
435	30837	10	4	4	8
532	31706	24	10	25	26
882	89806	64	16	40	19
608	62088	45	16	38	11
459	40151	22	9	19	14
578	27634	56	16	17	1
826	76990	94	17	67	39
509	37460	19	7	14	5
717	54157	35	15	30	37
637	49862	32	14	54	32
857	84337	35	14	35	38
830	64175	48	18	59	47
652	59382	49	12	24	47
707	119308	48	16	58	37
954	76702	62	21	42	51
1461	103425	96	19	46	45
672	70344	45	16	61	21
778	43410	63	1	3	1
1141	104838	71	16	52	42
680	62215	26	10	25	26
1090	69304	48	19	40	21
616	53117	29	12	32	4
285	19764	19	2	4	10
1145	86680	45	14	49	43
733	84105	45	17	63	34
888	77945	67	19	67	31
849	89113	30	14	32	19
1182	91005	36	11	23	34
528	40248	34	4	7	6
642	64187	36	16	54	11
947	50857	34	20	37	24
819	56613	37	12	35	16
757	62792	46	15	51	72
894	72535	44	16	39	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.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 & 3 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158563&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158563&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158563&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.wessa.net







Correlations for all pairs of data series (method=kendall)
pageviewstime_in_rfccompendium_views_prcompendiums_reviewedfeedback_messages_p120totblogs
pageviews10.7390.4630.5270.5210.583
time_in_rfc0.73910.3440.590.6050.665
compendium_views_pr0.4630.34410.2820.2650.273
compendiums_reviewed0.5270.590.28210.7710.556
feedback_messages_p1200.5210.6050.2650.77110.568
totblogs0.5830.6650.2730.5560.5681

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pageviews & time_in_rfc & compendium_views_pr & compendiums_reviewed & feedback_messages_p120 & totblogs \tabularnewline
pageviews & 1 & 0.739 & 0.463 & 0.527 & 0.521 & 0.583 \tabularnewline
time_in_rfc & 0.739 & 1 & 0.344 & 0.59 & 0.605 & 0.665 \tabularnewline
compendium_views_pr & 0.463 & 0.344 & 1 & 0.282 & 0.265 & 0.273 \tabularnewline
compendiums_reviewed & 0.527 & 0.59 & 0.282 & 1 & 0.771 & 0.556 \tabularnewline
feedback_messages_p120 & 0.521 & 0.605 & 0.265 & 0.771 & 1 & 0.568 \tabularnewline
totblogs & 0.583 & 0.665 & 0.273 & 0.556 & 0.568 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158563&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_in_rfc[/C][C]compendium_views_pr[/C][C]compendiums_reviewed[/C][C]feedback_messages_p120[/C][C]totblogs[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.739[/C][C]0.463[/C][C]0.527[/C][C]0.521[/C][C]0.583[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.739[/C][C]1[/C][C]0.344[/C][C]0.59[/C][C]0.605[/C][C]0.665[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.463[/C][C]0.344[/C][C]1[/C][C]0.282[/C][C]0.265[/C][C]0.273[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.527[/C][C]0.59[/C][C]0.282[/C][C]1[/C][C]0.771[/C][C]0.556[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.521[/C][C]0.605[/C][C]0.265[/C][C]0.771[/C][C]1[/C][C]0.568[/C][/ROW]
[ROW][C]totblogs[/C][C]0.583[/C][C]0.665[/C][C]0.273[/C][C]0.556[/C][C]0.568[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158563&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158563&T=1

As an alternative you can also use a QR Code:  

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

Correlations for all pairs of data series (method=kendall)
pageviewstime_in_rfccompendium_views_prcompendiums_reviewedfeedback_messages_p120totblogs
pageviews10.7390.4630.5270.5210.583
time_in_rfc0.73910.3440.590.6050.665
compendium_views_pr0.4630.34410.2820.2650.273
compendiums_reviewed0.5270.590.28210.7710.556
feedback_messages_p1200.5210.6050.2650.77110.568
totblogs0.5830.6650.2730.5560.5681







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;time_in_rfc0.89280.90250.7387
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;feedback_messages_p1200.67130.71210.5211
p-value(0)(0)(0)
pageviews;totblogs0.70240.77960.5828
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
time_in_rfc;totblogs0.81430.85730.665
p-value(0)(0)(0)
compendium_views_pr;compendiums_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
compendium_views_pr;totblogs0.19730.3950.2726
p-value(7e-04)(0)(0)
compendiums_reviewed;feedback_messages_p1200.91820.90670.7707
p-value(0)(0)(0)
compendiums_reviewed;totblogs0.71970.75580.5563
p-value(0)(0)(0)
feedback_messages_p120;totblogs0.7310.77090.5685
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
pageviews;time_in_rfc & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_pr & 0.5633 & 0.6332 & 0.4628 \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_p120 & 0.6713 & 0.7121 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;totblogs & 0.7024 & 0.7796 & 0.5828 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.758 & 0.7892 & 0.5899 \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;totblogs & 0.8143 & 0.8573 & 0.665 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p120 & 0.2612 & 0.3762 & 0.2653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;totblogs & 0.1973 & 0.395 & 0.2726 \tabularnewline
p-value & (7e-04) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p120 & 0.9182 & 0.9067 & 0.7707 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totblogs & 0.7197 & 0.7558 & 0.5563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totblogs & 0.731 & 0.7709 & 0.5685 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158563&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]pageviews;time_in_rfc[/C][C]0.8928[/C][C]0.9025[/C][C]0.7387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_pr[/C][C]0.5633[/C][C]0.6332[/C][C]0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;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_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;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]time_in_rfc;compendium_views_pr[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;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_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;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]compendium_views_pr;compendiums_reviewed[/C][C]0.2633[/C][C]0.3939[/C][C]0.2823[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p120[/C][C]0.2612[/C][C]0.3762[/C][C]0.2653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;totblogs[/C][C]0.1973[/C][C]0.395[/C][C]0.2726[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/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;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]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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158563&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158563&T=2

As an alternative you can also use a QR Code:  

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

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;time_in_rfc0.89280.90250.7387
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;feedback_messages_p1200.67130.71210.5211
p-value(0)(0)(0)
pageviews;totblogs0.70240.77960.5828
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
time_in_rfc;totblogs0.81430.85730.665
p-value(0)(0)(0)
compendium_views_pr;compendiums_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
compendium_views_pr;totblogs0.19730.3950.2726
p-value(7e-04)(0)(0)
compendiums_reviewed;feedback_messages_p1200.91820.90670.7707
p-value(0)(0)(0)
compendiums_reviewed;totblogs0.71970.75580.5563
p-value(0)(0)(0)
feedback_messages_p120;totblogs0.7310.77090.5685
p-value(0)(0)(0)



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')