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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 21 Dec 2011 09:21:56 -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/2011/Dec/21/t1324477362ywd0ai67aqi1pb3.htm/, Retrieved Tue, 07 May 2024 12:33:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158726, Retrieved Tue, 07 May 2024 12:33:29 +0000

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

-       [Kendall tau Correlation Matrix] [pearson correlati...] [2011-12-21 14:21:56] [452d9c400285ceb08a690c4b81b76477] [Current]
-   P     [Kendall tau Correlation Matrix] [kendall tau corre...] [2011-12-21 14:53:17] [1ed874da5cc4aa1cd1ced057f766d90b] 

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Dataseries X:

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Histogram

Boxplots

1801	159261	91	586	111	0	74
1717	189672	59	520	76	1	80
192	7215	18	72	1	0	0
2295	129098	95	645	155	0	84
3450	230632	136	1163	125	0	124
6861	515038	263	1945	278	1	140
1795	180745	56	585	89	1	88
1681	185559	59	470	59	0	115
1897	154581	44	612	87	0	109
2974	298001	96	992	129	1	104
1946	121844	75	634	158	2	63
2148	184039	69	677	120	0	118
1832	100324	98	665	87	0	71
3183	220269	119	1079	264	4	112
1476	168265	58	413	51	4	63
1567	154647	88	469	85	3	86
1756	142018	57	431	96	0	132
1247	79030	61	361	72	5	54
2779	167047	87	877	147	0	134
726	27997	24	221	49	0	57
1048	73019	59	366	40	0	59
2805	241082	100	846	99	0	113
1760	195820	72	642	127	0	96
2266	142001	54	689	164	1	96
1848	145433	86	576	41	1	78
1665	183744	32	610	160	0	80
2084	202357	163	673	92	0	93
1440	199532	93	361	59	0	109
2741	354924	118	907	89	0	115
2112	192399	44	882	90	0	79
1684	182286	44	490	76	0	103
1616	181590	45	548	116	2	71
2227	133801	105	723	92	4	66
3088	233686	123	918	344	0	100
2389	219428	53	787	84	1	96
1	0	1	0	0	0	0
2099	223044	63	983	61	0	109
1669	100129	51	539	138	3	51
2137	145864	49	515	270	9	119
2153	249965	64	795	64	0	136
2390	242379	71	753	96	2	84
1701	145794	59	635	62	0	136
983	96404	32	361	35	2	84
2161	195891	78	804	59	1	92
1276	117156	50	394	56	2	103
1190	157787	95	320	40	2	82
745	81293	32	212	49	1	106
2330	237435	101	772	121	0	96
2289	233155	89	740	113	1	124
2639	160344	59	938	172	8	97
658	48188	28	205	37	0	82
1917	161922	69	492	51	0	79
2557	307432	74	818	89	0	97
2026	235223	79	680	73	0	107
1911	195583	59	691	49	1	126
1716	146061	56	534	74	8	40
1852	208834	67	487	58	0	96
981	93764	24	301	72	1	100
1177	151985	66	421	32	0	91
2833	193222	96	947	59	10	136
1688	148922	60	492	70	6	124
2097	132856	80	790	85	0	79
1331	129561	61	362	87	11	74
1244	112718	37	430	48	3	96
1256	160930	35	416	56	0	97
1294	99184	41	409	41	0	122
2303	192535	70	498	86	8	144
2897	138708	65	887	152	2	90
1103	114408	38	267	48	0	93
340	31970	15	101	40	0	78
2791	225558	112	1000	135	3	72
1338	139220	72	416	83	1	45
1441	113612	68	480	62	2	120
1623	108641	71	454	91	1	59
2650	162203	67	671	91	0	133
1499	100098	44	413	82	2	117
2302	174768	60	677	112	1	123
2540	158459	97	820	69	0	110
1000	80934	30	316	78	0	75
1234	84971	71	395	105	0	114
927	80545	68	217	49	0	94
2176	287191	64	818	60	0	116
957	62974	28	292	49	1	86
1551	134091	40	513	132	0	90
1014	75555	46	345	49	0	87
1771	162154	54	557	71	0	99
2613	226638	227	645	100	0	132
1205	115367	112	284	74	0	96
1337	108749	62	424	49	7	91
1524	155537	52	614	72	0	77
1829	153133	41	672	59	5	104
2229	165618	78	649	90	1	97
1233	151517	57	415	68	0	94
1365	133686	58	505	81	0	60
950	61342	40	387	33	0	46
2319	245196	117	730	166	0	135
1857	195576	70	563	94	0	90
223	19349	12	67	15	0	2
2390	225371	105	812	104	3	96
1985	153213	78	811	61	0	109
700	59117	29	281	11	0	15
1062	91762	24	338	45	0	68
1311	136769	54	413	84	0	88
1157	114798	61	298	66	1	84
823	85338	40	223	27	1	46
596	27676	22	194	59	0	59
1545	153535	48	371	127	0	116
1130	122417	37	268	48	0	29
0	0	0	0	0	0	0
1082	91529	32	332	58	0	91
1135	107205	67	371	57	0	76
1367	144664	45	465	59	0	83
1506	146445	63	447	76	1	84
870	76656	60	295	71	0	65
78	3616	5	14	5	0	0
0	0	0	0	0	0	0
1130	183088	44	388	70	0	84
1582	144677	84	564	76	0	114
2034	159104	98	562	122	2	124
919	113273	38	288	56	0	92
778	43410	19	292	63	0	3
1752	175774	73	530	92	1	109
957	95401	42	256	54	0	74
2098	134837	55	602	64	8	121
731	60493	40	174	29	3	48
285	19764	12	75	19	1	8
1834	164062	56	565	64	3	80
1148	132696	33	377	79	0	107
1646	155367	54	544	97	0	116
256	11796	9	79	22	0	8
98	10674	9	33	7	0	0
1404	142261	57	479	37	0	56
41	6836	3	11	5	0	4
1824	162563	63	626	48	6	70
42	5118	3	6	1	0	0
528	40248	16	183	34	1	14
0	0	0	0	0	0	0
1073	122641	47	334	49	0	91
1305	88837	38	269	44	0	89
81	7131	4	27	0	1	0
261	9056	14	99	18	0	12
934	76611	24	260	48	1	60
1180	132697	51	290	54	0	80
1147	100681	19	414	50	1	88

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	'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158726&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158726&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158726&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	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	page_views	time_spent_seconds	number_logins	number_course_compenium_views	number_compendium_views	number_compediums_shared	number_feedbackmessage_PR
page_views	1	0.891	0.827	0.966	0.751	0.202	0.69
time_spent_seconds	0.891	1	0.768	0.879	0.609	0.087	0.702
number_logins	0.827	0.768	1	0.77	0.604	0.086	0.579
number_course_compenium_views	0.966	0.879	0.77	1	0.702	0.166	0.653
number_compendium_views	0.751	0.609	0.604	0.702	1	0.188	0.51
number_compediums_shared	0.202	0.087	0.086	0.166	0.188	1	0.139
number_feedbackmessage_PR	0.69	0.702	0.579	0.653	0.51	0.139	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & page_views & time_spent_seconds & number_logins & number_course_compenium_views & number_compendium_views & number_compediums_shared & number_feedbackmessage_PR \tabularnewline
page_views & 1 & 0.891 & 0.827 & 0.966 & 0.751 & 0.202 & 0.69 \tabularnewline
time_spent_seconds & 0.891 & 1 & 0.768 & 0.879 & 0.609 & 0.087 & 0.702 \tabularnewline
number_logins & 0.827 & 0.768 & 1 & 0.77 & 0.604 & 0.086 & 0.579 \tabularnewline
number_course_compenium_views & 0.966 & 0.879 & 0.77 & 1 & 0.702 & 0.166 & 0.653 \tabularnewline
number_compendium_views & 0.751 & 0.609 & 0.604 & 0.702 & 1 & 0.188 & 0.51 \tabularnewline
number_compediums_shared & 0.202 & 0.087 & 0.086 & 0.166 & 0.188 & 1 & 0.139 \tabularnewline
number_feedbackmessage_PR & 0.69 & 0.702 & 0.579 & 0.653 & 0.51 & 0.139 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158726&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]page_views[/C][C]time_spent_seconds[/C][C]number_logins[/C][C]number_course_compenium_views[/C][C]number_compendium_views[/C][C]number_compediums_shared[/C][C]number_feedbackmessage_PR[/C][/ROW]
[ROW][C]page_views[/C][C]1[/C][C]0.891[/C][C]0.827[/C][C]0.966[/C][C]0.751[/C][C]0.202[/C][C]0.69[/C][/ROW]
[ROW][C]time_spent_seconds[/C][C]0.891[/C][C]1[/C][C]0.768[/C][C]0.879[/C][C]0.609[/C][C]0.087[/C][C]0.702[/C][/ROW]
[ROW][C]number_logins[/C][C]0.827[/C][C]0.768[/C][C]1[/C][C]0.77[/C][C]0.604[/C][C]0.086[/C][C]0.579[/C][/ROW]
[ROW][C]number_course_compenium_views[/C][C]0.966[/C][C]0.879[/C][C]0.77[/C][C]1[/C][C]0.702[/C][C]0.166[/C][C]0.653[/C][/ROW]
[ROW][C]number_compendium_views[/C][C]0.751[/C][C]0.609[/C][C]0.604[/C][C]0.702[/C][C]1[/C][C]0.188[/C][C]0.51[/C][/ROW]
[ROW][C]number_compediums_shared[/C][C]0.202[/C][C]0.087[/C][C]0.086[/C][C]0.166[/C][C]0.188[/C][C]1[/C][C]0.139[/C][/ROW]
[ROW][C]number_feedbackmessage_PR[/C][C]0.69[/C][C]0.702[/C][C]0.579[/C][C]0.653[/C][C]0.51[/C][C]0.139[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158726&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158726&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)
	page_views	time_spent_seconds	number_logins	number_course_compenium_views	number_compendium_views	number_compediums_shared	number_feedbackmessage_PR
page_views	1	0.891	0.827	0.966	0.751	0.202	0.69
time_spent_seconds	0.891	1	0.768	0.879	0.609	0.087	0.702
number_logins	0.827	0.768	1	0.77	0.604	0.086	0.579
number_course_compenium_views	0.966	0.879	0.77	1	0.702	0.166	0.653
number_compendium_views	0.751	0.609	0.604	0.702	1	0.188	0.51
number_compediums_shared	0.202	0.087	0.086	0.166	0.188	1	0.139
number_feedbackmessage_PR	0.69	0.702	0.579	0.653	0.51	0.139	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
page_views;time_spent_seconds	0.8912	0.866	0.7025
p-value	(0)	(0)	(0)
page_views;number_logins	0.8267	0.7964	0.6287
p-value	(0)	(0)	(0)
page_views;number_course_compenium_views	0.9657	0.9612	0.841
p-value	(0)	(0)	(0)
page_views;number_compendium_views	0.7511	0.7774	0.5958
p-value	(0)	(0)	(0)
page_views;number_compediums_shared	0.202	0.2417	0.1843
p-value	(0.0152)	(0.0035)	(0.0038)
page_views;number_feedbackmessage_PR	0.6904	0.6528	0.4832
p-value	(0)	(0)	(0)
time_spent_seconds;number_logins	0.7682	0.7272	0.5594
p-value	(0)	(0)	(0)
time_spent_seconds;number_course_compenium_views	0.8787	0.8494	0.6767
p-value	(0)	(0)	(0)
time_spent_seconds;number_compendium_views	0.6091	0.6508	0.4828
p-value	(0)	(0)	(0)
time_spent_seconds;number_compediums_shared	0.0867	0.1113	0.085
p-value	(0.3013)	(0.1842)	(0.1826)
time_spent_seconds;number_feedbackmessage_PR	0.7017	0.6467	0.4782
p-value	(0)	(0)	(0)
number_logins;number_course_compenium_views	0.7697	0.754	0.5858
p-value	(0)	(0)	(0)
number_logins;number_compendium_views	0.6037	0.6458	0.4802
p-value	(0)	(0)	(0)
number_logins;number_compediums_shared	0.0863	0.1579	0.1211
p-value	(0.3038)	(0.0587)	(0.0586)
number_logins;number_feedbackmessage_PR	0.5786	0.5246	0.3816
p-value	(0)	(0)	(0)
number_course_compenium_views;number_compendium_views	0.7023	0.7405	0.5606
p-value	(0)	(0)	(0)
number_course_compenium_views;number_compediums_shared	0.1658	0.1961	0.1487
p-value	(0.0471)	(0.0185)	(0.0198)
number_course_compenium_views;number_feedbackmessage_PR	0.6526	0.6025	0.4387
p-value	(0)	(0)	(0)
number_compendium_views;number_compediums_shared	0.1879	0.1705	0.1321
p-value	(0.0241)	(0.041)	(0.0393)
number_compendium_views;number_feedbackmessage_PR	0.5104	0.5184	0.3833
p-value	(0)	(0)	(0)
number_compediums_shared;number_feedbackmessage_PR	0.1385	0.0582	0.0437
p-value	(0.0978)	(0.4881)	(0.4957)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
page_views;time_spent_seconds & 0.8912 & 0.866 & 0.7025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
page_views;number_logins & 0.8267 & 0.7964 & 0.6287 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
page_views;number_course_compenium_views & 0.9657 & 0.9612 & 0.841 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
page_views;number_compendium_views & 0.7511 & 0.7774 & 0.5958 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
page_views;number_compediums_shared & 0.202 & 0.2417 & 0.1843 \tabularnewline
p-value & (0.0152) & (0.0035) & (0.0038) \tabularnewline
page_views;number_feedbackmessage_PR & 0.6904 & 0.6528 & 0.4832 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_logins & 0.7682 & 0.7272 & 0.5594 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_course_compenium_views & 0.8787 & 0.8494 & 0.6767 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_compendium_views & 0.6091 & 0.6508 & 0.4828 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_compediums_shared & 0.0867 & 0.1113 & 0.085 \tabularnewline
p-value & (0.3013) & (0.1842) & (0.1826) \tabularnewline
time_spent_seconds;number_feedbackmessage_PR & 0.7017 & 0.6467 & 0.4782 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;number_course_compenium_views & 0.7697 & 0.754 & 0.5858 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;number_compendium_views & 0.6037 & 0.6458 & 0.4802 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;number_compediums_shared & 0.0863 & 0.1579 & 0.1211 \tabularnewline
p-value & (0.3038) & (0.0587) & (0.0586) \tabularnewline
number_logins;number_feedbackmessage_PR & 0.5786 & 0.5246 & 0.3816 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_course_compenium_views;number_compendium_views & 0.7023 & 0.7405 & 0.5606 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_course_compenium_views;number_compediums_shared & 0.1658 & 0.1961 & 0.1487 \tabularnewline
p-value & (0.0471) & (0.0185) & (0.0198) \tabularnewline
number_course_compenium_views;number_feedbackmessage_PR & 0.6526 & 0.6025 & 0.4387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_compendium_views;number_compediums_shared & 0.1879 & 0.1705 & 0.1321 \tabularnewline
p-value & (0.0241) & (0.041) & (0.0393) \tabularnewline
number_compendium_views;number_feedbackmessage_PR & 0.5104 & 0.5184 & 0.3833 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_compediums_shared;number_feedbackmessage_PR & 0.1385 & 0.0582 & 0.0437 \tabularnewline
p-value & (0.0978) & (0.4881) & (0.4957) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158726&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]page_views;time_spent_seconds[/C][C]0.8912[/C][C]0.866[/C][C]0.7025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]page_views;number_logins[/C][C]0.8267[/C][C]0.7964[/C][C]0.6287[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]page_views;number_course_compenium_views[/C][C]0.9657[/C][C]0.9612[/C][C]0.841[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]page_views;number_compendium_views[/C][C]0.7511[/C][C]0.7774[/C][C]0.5958[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]page_views;number_compediums_shared[/C][C]0.202[/C][C]0.2417[/C][C]0.1843[/C][/ROW]
[ROW][C]p-value[/C][C](0.0152)[/C][C](0.0035)[/C][C](0.0038)[/C][/ROW]
[ROW][C]page_views;number_feedbackmessage_PR[/C][C]0.6904[/C][C]0.6528[/C][C]0.4832[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_logins[/C][C]0.7682[/C][C]0.7272[/C][C]0.5594[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_course_compenium_views[/C][C]0.8787[/C][C]0.8494[/C][C]0.6767[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_compendium_views[/C][C]0.6091[/C][C]0.6508[/C][C]0.4828[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_compediums_shared[/C][C]0.0867[/C][C]0.1113[/C][C]0.085[/C][/ROW]
[ROW][C]p-value[/C][C](0.3013)[/C][C](0.1842)[/C][C](0.1826)[/C][/ROW]
[ROW][C]time_spent_seconds;number_feedbackmessage_PR[/C][C]0.7017[/C][C]0.6467[/C][C]0.4782[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;number_course_compenium_views[/C][C]0.7697[/C][C]0.754[/C][C]0.5858[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;number_compendium_views[/C][C]0.6037[/C][C]0.6458[/C][C]0.4802[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;number_compediums_shared[/C][C]0.0863[/C][C]0.1579[/C][C]0.1211[/C][/ROW]
[ROW][C]p-value[/C][C](0.3038)[/C][C](0.0587)[/C][C](0.0586)[/C][/ROW]
[ROW][C]number_logins;number_feedbackmessage_PR[/C][C]0.5786[/C][C]0.5246[/C][C]0.3816[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_course_compenium_views;number_compendium_views[/C][C]0.7023[/C][C]0.7405[/C][C]0.5606[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_course_compenium_views;number_compediums_shared[/C][C]0.1658[/C][C]0.1961[/C][C]0.1487[/C][/ROW]
[ROW][C]p-value[/C][C](0.0471)[/C][C](0.0185)[/C][C](0.0198)[/C][/ROW]
[ROW][C]number_course_compenium_views;number_feedbackmessage_PR[/C][C]0.6526[/C][C]0.6025[/C][C]0.4387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_compendium_views;number_compediums_shared[/C][C]0.1879[/C][C]0.1705[/C][C]0.1321[/C][/ROW]
[ROW][C]p-value[/C][C](0.0241)[/C][C](0.041)[/C][C](0.0393)[/C][/ROW]
[ROW][C]number_compendium_views;number_feedbackmessage_PR[/C][C]0.5104[/C][C]0.5184[/C][C]0.3833[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_compediums_shared;number_feedbackmessage_PR[/C][C]0.1385[/C][C]0.0582[/C][C]0.0437[/C][/ROW]
[ROW][C]p-value[/C][C](0.0978)[/C][C](0.4881)[/C][C](0.4957)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158726&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158726&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
page_views;time_spent_seconds	0.8912	0.866	0.7025
p-value	(0)	(0)	(0)
page_views;number_logins	0.8267	0.7964	0.6287
p-value	(0)	(0)	(0)
page_views;number_course_compenium_views	0.9657	0.9612	0.841
p-value	(0)	(0)	(0)
page_views;number_compendium_views	0.7511	0.7774	0.5958
p-value	(0)	(0)	(0)
page_views;number_compediums_shared	0.202	0.2417	0.1843
p-value	(0.0152)	(0.0035)	(0.0038)
page_views;number_feedbackmessage_PR	0.6904	0.6528	0.4832
p-value	(0)	(0)	(0)
time_spent_seconds;number_logins	0.7682	0.7272	0.5594
p-value	(0)	(0)	(0)
time_spent_seconds;number_course_compenium_views	0.8787	0.8494	0.6767
p-value	(0)	(0)	(0)
time_spent_seconds;number_compendium_views	0.6091	0.6508	0.4828
p-value	(0)	(0)	(0)
time_spent_seconds;number_compediums_shared	0.0867	0.1113	0.085
p-value	(0.3013)	(0.1842)	(0.1826)
time_spent_seconds;number_feedbackmessage_PR	0.7017	0.6467	0.4782
p-value	(0)	(0)	(0)
number_logins;number_course_compenium_views	0.7697	0.754	0.5858
p-value	(0)	(0)	(0)
number_logins;number_compendium_views	0.6037	0.6458	0.4802
p-value	(0)	(0)	(0)
number_logins;number_compediums_shared	0.0863	0.1579	0.1211
p-value	(0.3038)	(0.0587)	(0.0586)
number_logins;number_feedbackmessage_PR	0.5786	0.5246	0.3816
p-value	(0)	(0)	(0)
number_course_compenium_views;number_compendium_views	0.7023	0.7405	0.5606
p-value	(0)	(0)	(0)
number_course_compenium_views;number_compediums_shared	0.1658	0.1961	0.1487
p-value	(0.0471)	(0.0185)	(0.0198)
number_course_compenium_views;number_feedbackmessage_PR	0.6526	0.6025	0.4387
p-value	(0)	(0)	(0)
number_compendium_views;number_compediums_shared	0.1879	0.1705	0.1321
p-value	(0.0241)	(0.041)	(0.0393)
number_compendium_views;number_feedbackmessage_PR	0.5104	0.5184	0.3833
p-value	(0)	(0)	(0)
number_compediums_shared;number_feedbackmessage_PR	0.1385	0.0582	0.0437
p-value	(0.0978)	(0.4881)	(0.4957)

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