Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 14 Dec 2011 08:13:32 -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/t1323868486kezzbzm1vyg6yu1.htm/, Retrieved Wed, 01 May 2024 16:47:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154928, Retrieved Wed, 01 May 2024 16:47:55 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-14 13:13:32] [7c363341293f6644b8647ab9153ed4f7] [Current]
- R       [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-14 13:25:26] [246430c28552f7bc561843533d7ec653] 
-           [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-14 13:55:42] [246430c28552f7bc561843533d7ec653] 
- R PD        [Kendall tau Correlation Matrix] [Kendall Tau's Cor...] [2011-12-14 14:29:54] [246430c28552f7bc561843533d7ec653] 
- RMPD        [Multiple Regression] [Multiple Regression] [2011-12-14 14:44:54] [246430c28552f7bc561843533d7ec653] 
- RMPD        [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-14 15:06:32] [246430c28552f7bc561843533d7ec653] 
- RMPD        [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-14 15:21:42] [246430c28552f7bc561843533d7ec653] 
- R P           [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-14 15:24:10] [246430c28552f7bc561843533d7ec653] 
-   P           [Recursive Partitioning (Regression Trees)] [Cross Validation] [2011-12-14 15:39:16] [246430c28552f7bc561843533d7ec653] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

1713	269966	66	473	90	96	38	144	140824	32033	186099	165	165
1028	146082	61	352	63	64	34	133	110459	20654	113854	135	132
1807	214542	67	660	59	69	42	162	105079	16346	99776	121	121
2613	212452	100	1126	135	126	38	148	112098	35926	106194	148	145
1117	157206	49	333	48	59	27	88	43929	10621	100792	73	71
631	70849	28	179	46	8	35	129	76173	10024	47552	49	47
4294	476347	111	2091	109	145	33	128	187326	43068	250931	185	177
381	33186	19	111	46	1	18	67	22807	1271	6853	5	5
1937	201983	56	726	75	69	34	132	144408	34416	115466	125	124
1734	211698	43	585	72	82	33	120	66485	20318	110896	93	92
2010	292874	102	754	78	92	42	155	79089	24409	169351	154	149
1988	223814	107	619	61	106	55	210	81625	20648	94853	98	93
1600	156623	65	615	58	50	35	115	68788	12347	72591	70	70
2664	327332	73	1060	109	113	51	175	103297	21857	101345	148	148
1812	205898	78	588	45	70	42	158	69446	11034	113713	100	100
4698	369527	172	1626	127	168	59	223	114948	33433	165354	150	142
2043	290571	66	717	58	111	36	140	167949	35902	164263	197	194
2690	292903	146	1053	90	92	39	144	125081	22355	135213	114	113
1381	168639	52	491	41	102	29	111	125818	31219	111669	169	162
2249	253641	79	669	54	135	46	179	136588	21983	134163	200	186
2446	269240	68	819	99	122	45	171	112431	40085	140303	148	147
2681	414808	101	1150	101	86	39	144	103037	18507	150773	140	137
1306	161910	38	421	62	50	25	89	82317	16278	111848	74	71
1649	178722	53	583	65	94	52	208	118906	24662	102509	128	123
2975	200181	109	1146	150	127	41	153	83515	31452	96785	140	134
2507	203700	111	922	71	86	38	146	104581	32580	116136	116	115
2817	267099	126	1058	91	99	41	158	103129	22883	158376	147	138
1879	262716	83	593	59	117	39	142	83243	27652	153990	132	125
1495	155915	51	559	53	57	32	117	37110	9845	64057	70	66
2661	324641	59	1001	140	125	41	158	113344	20190	230054	144	137
2154	261785	72	848	49	120	45	175	139165	46201	184531	155	152
1741	192626	71	590	77	44	46	170	86652	10971	114198	165	159
2090	318563	83	779	53	133	48	185	112302	34811	198299	161	159
940	97615	35	308	40	43	37	141	69652	3029	33750	31	31
2804	343613	88	1108	72	117	39	151	119442	38941	189723	199	185
2751	272026	55	1183	87	83	42	159	69867	4958	100826	78	78
3509	408580	115	1261	71	105	41	151	101629	32344	188355	121	117
1771	206904	78	581	67	79	36	139	70168	19433	104470	112	109
934	115469	32	276	36	33	17	55	31081	12558	58391	41	41
3000	310587	176	1061	45	111	39	151	103925	36524	164808	158	149
3178	315746	76	1471	38	121	37	139	92622	26041	134097	123	123
1489	157897	62	590	70	67	38	138	79011	16637	80238	104	103
1723	192883	72	632	82	73	36	115	93487	28395	133252	94	87
1655	165876	56	450	83	68	42	157	64520	16747	54518	73	71
2496	153778	82	1022	82	50	45	73	93473	9105	121850	52	51
4948	414493	139	1864	780	98	38	138	114360	11941	79367	71	70
918	78800	42	330	57	20	26	82	33032	7935	56968	21	21
2219	207958	74	648	79	101	52	201	96125	19499	106314	155	155
3832	323118	113	1303	116	137	47	181	151911	22938	191889	174	172
2081	175523	54	868	68	99	45	164	89256	25314	104864	136	133
1805	213050	72	554	48	94	40	158	95671	28524	160791	128	125
496	24188	24	218	20	8	4	12	5950	2694	15049	7	7
2464	364968	300	816	76	83	44	163	149695	20867	191179	165	158
744	65029	17	255	21	21	18	67	32551	3597	25109	21	21
1161	101097	64	454	70	30	14	52	31701	5296	45824	35	35
2803	263096	54	1009	124	96	37	134	100087	32982	129711	137	133
2421	302012	81	639	80	122	56	210	169707	38975	210012	174	169
3449	315753	170	1048	206	115	36	134	150491	42721	194679	257	256
2323	300531	130	934	62	139	41	150	120192	41455	197680	207	190
2084	240445	79	784	77	89	36	139	95893	23923	81180	103	100
3866	360325	135	1282	65	147	46	178	151715	26719	197765	171	171
3104	296186	113	1128	146	135	28	101	176225	53405	214738	279	267
2372	210104	97	958	71	63	42	165	59900	12526	96252	83	80
2331	247076	85	847	48	72	38	147	104767	26584	124527	130	126
1363	220722	64	540	58	47	37	139	114799	37062	153242	131	132
1646	216027	65	436	58	96	30	116	72128	25696	145707	126	121
1841	187773	124	557	54	79	35	137	143592	24634	113963	158	156
2587	227055	137	794	89	85	44	167	89626	27269	134904	138	133
2254	229181	76	826	78	135	36	135	131072	25270	114268	200	199
1580	159082	63	580	62	142	28	102	126817	24634	94333	104	98
2449	232624	65	838	59	97	45	173	81351	17828	102204	111	109
893	73566	32	385	39	22	23	88	22618	3007	23824	26	25
2113	231827	76	698	55	75	45	175	88977	20065	111563	115	113
1593	181728	50	667	94	77	38	133	92059	24648	91313	127	126
1644	162366	57	548	61	110	38	148	81897	21588	89770	140	137
2153	329583	75	932	87	132	42	157	108146	25217	100125	121	121
2350	303317	87	941	48	111	36	140	126372	30927	165278	183	178
1770	205630	104	512	50	78	41	154	249771	18487	181712	68	63
2110	184970	60	648	58	126	38	148	71154	18050	80906	112	109
1601	168990	60	588	67	73	37	134	71571	17696	75881	103	101
1643	151231	45	608	41	62	28	109	55918	17326	83963	63	61
3559	421615	108	1165	114	141	45	175	160141	39361	175721	166	157
1358	145916	67	649	45	30	26	99	38692	9648	68580	38	38
2204	270487	99	623	57	116	44	122	102812	26759	136323	163	159
870	80953	25	437	31	49	8	28	56622	7905	55792	59	58
1773	139193	53	752	175	26	27	101	15986	4527	25157	27	27
1202	146777	53	342	63	71	35	129	123534	41517	100922	108	108
3422	335969	174	1351	276	59	37	143	108535	21261	118845	88	83
2417	297676	105	835	91	114	57	206	93879	36099	170492	92	88
3016	175232	101	1027	67	161	41	155	144551	39039	81716	170	164
2233	238938	87	770	58	74	37	138	56750	13841	115750	98	96
1992	228459	71	614	71	151	38	141	127654	23841	105590	205	192
1689	175244	61	545	86	41	31	114	65594	8589	92795	96	94
2916	256299	71	1046	89	121	36	140	59938	15049	82390	107	107
2342	288728	75	907	134	66	36	140	146975	39038	135599	150	144
1624	189252	36	555	64	83	36	140	143372	30391	111542	123	123
1579	222324	49	540	72	94	35	127	168553	39932	162519	176	170
1997	277755	74	736	61	154	39	141	183500	43840	211381	213	210
3760	364710	141	1247	121	151	58	223	165986	43146	189944	208	193
3611	392346	105	1389	73	164	30	114	184923	50099	226168	307	297
2355	260478	112	777	60	115	45	174	140358	40312	117495	125	125
2192	273240	62	802	85	140	41	155	149959	32616	195894	208	204
1984	186310	173	636	116	73	36	138	57224	11338	80684	73	70
602	43287	14	214	43	13	19	71	43750	7409	19630	49	49
2133	185181	78	711	85	89	23	84	48029	18213	88634	82	82
1927	202989	130	685	72	90	40	151	104978	45873	139292	206	205
2535	259498	46	1135	110	128	40	155	100046	39844	128602	112	111
2586	295230	86	999	54	169	40	150	101047	28317	135848	139	135
1072	114156	61	343	44	28	30	112	197426	24797	178377	60	59
3031	151624	82	880	79	116	41	161	160902	7471	106330	70	70
1855	306941	66	604	58	76	40	149	147172	27259	178303	112	108
2237	289398	84	660	70	145	45	164	109432	23201	116938	142	141
398	23623	11	156	9	12	1	0	1168	238	5841	11	11
1821	174970	69	648	49	120	36	139	83248	28830	106020	130	130
530	61857	25	192	25	23	11	32	25162	3913	24610	31	28
1596	163766	48	457	107	83	45	169	45724	9935	74151	132	101
2796	364027	108	1110	63	130	38	140	110529	27738	232241	219	216
387	21054	16	146	2	4	0	0	855	338	6622	4	4
2137	252805	52	866	67	81	30	111	101382	13326	127097	102	97
484	31929	22	200	22	18	8	25	14116	3988	13155	39	39
3223	294609	110	1163	152	103	39	146	89506	24347	160501	125	119
1878	217893	59	639	70	75	44	167	135356	27111	91502	121	118
1521	167612	81	463	95	55	44	165	116066	3938	24469	42	41
1652	149905	51	654	47	43	29	107	144244	17416	88229	111	107
568	38214	34	276	52	16	8	27	8773	1888	13983	16	16
1853	189451	39	646	108	66	39	147	102153	18700	80716	70	69
2627	339683	78	976	105	137	47	178	117440	36809	157384	162	160
1239	186627	57	434	58	50	48	185	104128	24959	122975	173	158
3411	386918	77	1517	131	134	46	179	134238	37343	191469	171	161
2311	302392	95	795	120	152	48	187	134047	21849	231257	172	165
3200	384345	118	1108	107	136	50	186	279488	49809	258287	254	246
1250	187992	35	473	49	71	40	151	79756	21654	122531	90	89
1121	102424	42	401	55	42	36	131	66089	8728	61394	50	49
2793	281117	310	922	149	83	40	155	102070	20920	86480	113	107
4014	399991	163	1426	155	103	46	172	146760	27195	195791	187	182
1628	131692	48	509	100	55	39	148	154771	1037	18284	16	16
3921	371090	127	1652	139	127	42	156	165933	42570	147581	175	173
1830	157429	76	689	76	55	39	143	64593	17672	72558	90	90
1627	236370	46	528	83	104	41	151	92280	34245	147341	140	140
2209	227299	84	775	185	92	42	145	67150	16786	114651	145	142
1738	209904	110	585	69	35	32	125	128692	20954	100187	141	126
3748	355457	111	1516	106	95	39	145	124089	16378	130332	125	123
2103	230883	83	743	61	121	35	129	125386	31852	134218	241	239
2035	173260	63	716	37	41	21	79	37238	2805	10901	16	15
2763	306577	96	891	56	136	45	174	140015	38086	145758	175	170
1705	141789	54	611	122	147	50	192	150047	21166	75767	132	123
2319	210565	78	901	52	88	36	132	154451	34672	134969	154	151
2393	273544	99	750	60	170	44	159	156349	36171	169216	198	194
2	1	0	0	0	0	0	0	0	0	0	0	0
207	14688	10	85	0	4	0	0	6023	2065	7953	5	5
5	98	1	0	0	0	0	0	0	0	0	0	0
8	455	2	0	0	0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0	0	0	0	0
1931	216803	82	662	58	61	37	133	84601	19354	105406	125	122
2965	347930	136	981	108	125	47	185	68946	22124	174586	174	173
0	0	0	0	0	0	0	0	0	0	0	0	0
4	203	4	0	0	0	0	0	0	0	0	0	0
151	7199	5	74	0	7	0	0	1644	556	4245	6	6
474	46660	20	259	7	12	5	15	6179	2089	21509	13	13
141	17547	5	69	3	0	1	4	3926	2658	7670	3	3
1031	112892	42	277	88	37	43	152	52789	1813	15673	35	35
29	969	2	0	0	0	0	0	0	0	0	0	0
1650	189334	62	544	46	47	31	113	100350	17372	75882	80	72

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	'AstonUniversity' @ aston.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154928&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154928&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154928&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	'AstonUniversity' @ aston.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Correlations for all pairs of data series (method=pearson)
	Pageviews	Total_Time_spent_in_RFC	Logins	Course_Compendium_Views	Compendium_Views_PR_only	Blogged_Computations	Reviewed_Compendiums	submitted_Feedback_Messages_in_Peer_Reviews	Number_of_characters	Total_number_of_revisions	Total_Time	Hyperlinks	Blogs
Pageviews	1	0.91	0.738	0.967	0.595	0.789	0.721	0.718	0.657	0.643	0.731	0.693	0.693
Total_Time_spent_in_RFC	0.91	1	0.711	0.883	0.487	0.808	0.751	0.754	0.712	0.731	0.861	0.783	0.783
Logins	0.738	0.711	1	0.666	0.434	0.545	0.588	0.587	0.525	0.494	0.59	0.563	0.559
Course_Compendium_Views	0.967	0.883	0.666	1	0.578	0.729	0.631	0.626	0.595	0.609	0.687	0.635	0.636
Compendium_Views_PR_only	0.595	0.487	0.434	0.578	1	0.315	0.369	0.359	0.293	0.215	0.255	0.246	0.245
Blogged_Computations	0.789	0.808	0.545	0.729	0.315	1	0.74	0.75	0.709	0.78	0.777	0.835	0.835
Reviewed_Compendiums	0.721	0.751	0.588	0.631	0.369	0.74	1	0.984	0.684	0.619	0.685	0.671	0.669
submitted_Feedback_Messages_in_Peer_Reviews	0.718	0.754	0.587	0.626	0.359	0.75	0.984	1	0.689	0.63	0.682	0.681	0.678
Number_of_characters	0.657	0.712	0.525	0.595	0.293	0.709	0.684	0.689	1	0.772	0.794	0.764	0.764
Total_number_of_revisions	0.643	0.731	0.494	0.609	0.215	0.78	0.619	0.63	0.772	1	0.822	0.859	0.862
Total_Time	0.731	0.861	0.59	0.687	0.255	0.777	0.685	0.682	0.794	0.822	1	0.851	0.85
Hyperlinks	0.693	0.783	0.563	0.635	0.246	0.835	0.671	0.681	0.764	0.859	0.851	1	0.998
Blogs	0.693	0.783	0.559	0.636	0.245	0.835	0.669	0.678	0.764	0.862	0.85	0.998	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Pageviews & Total_Time_spent_in_RFC & Logins & Course_Compendium_Views & Compendium_Views_PR_only & Blogged_Computations & Reviewed_Compendiums & submitted_Feedback_Messages_in_Peer_Reviews & Number_of_characters & Total_number_of_revisions & Total_Time & Hyperlinks & Blogs
 \tabularnewline
Pageviews & 1 & 0.91 & 0.738 & 0.967 & 0.595 & 0.789 & 0.721 & 0.718 & 0.657 & 0.643 & 0.731 & 0.693 & 0.693 \tabularnewline
Total_Time_spent_in_RFC & 0.91 & 1 & 0.711 & 0.883 & 0.487 & 0.808 & 0.751 & 0.754 & 0.712 & 0.731 & 0.861 & 0.783 & 0.783 \tabularnewline
Logins & 0.738 & 0.711 & 1 & 0.666 & 0.434 & 0.545 & 0.588 & 0.587 & 0.525 & 0.494 & 0.59 & 0.563 & 0.559 \tabularnewline
Course_Compendium_Views & 0.967 & 0.883 & 0.666 & 1 & 0.578 & 0.729 & 0.631 & 0.626 & 0.595 & 0.609 & 0.687 & 0.635 & 0.636 \tabularnewline
Compendium_Views_PR_only & 0.595 & 0.487 & 0.434 & 0.578 & 1 & 0.315 & 0.369 & 0.359 & 0.293 & 0.215 & 0.255 & 0.246 & 0.245 \tabularnewline
Blogged_Computations & 0.789 & 0.808 & 0.545 & 0.729 & 0.315 & 1 & 0.74 & 0.75 & 0.709 & 0.78 & 0.777 & 0.835 & 0.835 \tabularnewline
Reviewed_Compendiums & 0.721 & 0.751 & 0.588 & 0.631 & 0.369 & 0.74 & 1 & 0.984 & 0.684 & 0.619 & 0.685 & 0.671 & 0.669 \tabularnewline
submitted_Feedback_Messages_in_Peer_Reviews & 0.718 & 0.754 & 0.587 & 0.626 & 0.359 & 0.75 & 0.984 & 1 & 0.689 & 0.63 & 0.682 & 0.681 & 0.678 \tabularnewline
Number_of_characters & 0.657 & 0.712 & 0.525 & 0.595 & 0.293 & 0.709 & 0.684 & 0.689 & 1 & 0.772 & 0.794 & 0.764 & 0.764 \tabularnewline
Total_number_of_revisions & 0.643 & 0.731 & 0.494 & 0.609 & 0.215 & 0.78 & 0.619 & 0.63 & 0.772 & 1 & 0.822 & 0.859 & 0.862 \tabularnewline
Total_Time & 0.731 & 0.861 & 0.59 & 0.687 & 0.255 & 0.777 & 0.685 & 0.682 & 0.794 & 0.822 & 1 & 0.851 & 0.85 \tabularnewline
Hyperlinks & 0.693 & 0.783 & 0.563 & 0.635 & 0.246 & 0.835 & 0.671 & 0.681 & 0.764 & 0.859 & 0.851 & 1 & 0.998 \tabularnewline
Blogs
 & 0.693 & 0.783 & 0.559 & 0.636 & 0.245 & 0.835 & 0.669 & 0.678 & 0.764 & 0.862 & 0.85 & 0.998 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154928&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Pageviews[/C][C]Total_Time_spent_in_RFC[/C][C]Logins[/C][C]Course_Compendium_Views[/C][C]Compendium_Views_PR_only[/C][C]Blogged_Computations[/C][C]Reviewed_Compendiums[/C][C]submitted_Feedback_Messages_in_Peer_Reviews[/C][C]Number_of_characters[/C][C]Total_number_of_revisions[/C][C]Total_Time[/C][C]Hyperlinks[/C][C]Blogs
[/C][/ROW]
[ROW][C]Pageviews[/C][C]1[/C][C]0.91[/C][C]0.738[/C][C]0.967[/C][C]0.595[/C][C]0.789[/C][C]0.721[/C][C]0.718[/C][C]0.657[/C][C]0.643[/C][C]0.731[/C][C]0.693[/C][C]0.693[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC[/C][C]0.91[/C][C]1[/C][C]0.711[/C][C]0.883[/C][C]0.487[/C][C]0.808[/C][C]0.751[/C][C]0.754[/C][C]0.712[/C][C]0.731[/C][C]0.861[/C][C]0.783[/C][C]0.783[/C][/ROW]
[ROW][C]Logins[/C][C]0.738[/C][C]0.711[/C][C]1[/C][C]0.666[/C][C]0.434[/C][C]0.545[/C][C]0.588[/C][C]0.587[/C][C]0.525[/C][C]0.494[/C][C]0.59[/C][C]0.563[/C][C]0.559[/C][/ROW]
[ROW][C]Course_Compendium_Views[/C][C]0.967[/C][C]0.883[/C][C]0.666[/C][C]1[/C][C]0.578[/C][C]0.729[/C][C]0.631[/C][C]0.626[/C][C]0.595[/C][C]0.609[/C][C]0.687[/C][C]0.635[/C][C]0.636[/C][/ROW]
[ROW][C]Compendium_Views_PR_only[/C][C]0.595[/C][C]0.487[/C][C]0.434[/C][C]0.578[/C][C]1[/C][C]0.315[/C][C]0.369[/C][C]0.359[/C][C]0.293[/C][C]0.215[/C][C]0.255[/C][C]0.246[/C][C]0.245[/C][/ROW]
[ROW][C]Blogged_Computations[/C][C]0.789[/C][C]0.808[/C][C]0.545[/C][C]0.729[/C][C]0.315[/C][C]1[/C][C]0.74[/C][C]0.75[/C][C]0.709[/C][C]0.78[/C][C]0.777[/C][C]0.835[/C][C]0.835[/C][/ROW]
[ROW][C]Reviewed_Compendiums[/C][C]0.721[/C][C]0.751[/C][C]0.588[/C][C]0.631[/C][C]0.369[/C][C]0.74[/C][C]1[/C][C]0.984[/C][C]0.684[/C][C]0.619[/C][C]0.685[/C][C]0.671[/C][C]0.669[/C][/ROW]
[ROW][C]submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.718[/C][C]0.754[/C][C]0.587[/C][C]0.626[/C][C]0.359[/C][C]0.75[/C][C]0.984[/C][C]1[/C][C]0.689[/C][C]0.63[/C][C]0.682[/C][C]0.681[/C][C]0.678[/C][/ROW]
[ROW][C]Number_of_characters[/C][C]0.657[/C][C]0.712[/C][C]0.525[/C][C]0.595[/C][C]0.293[/C][C]0.709[/C][C]0.684[/C][C]0.689[/C][C]1[/C][C]0.772[/C][C]0.794[/C][C]0.764[/C][C]0.764[/C][/ROW]
[ROW][C]Total_number_of_revisions[/C][C]0.643[/C][C]0.731[/C][C]0.494[/C][C]0.609[/C][C]0.215[/C][C]0.78[/C][C]0.619[/C][C]0.63[/C][C]0.772[/C][C]1[/C][C]0.822[/C][C]0.859[/C][C]0.862[/C][/ROW]
[ROW][C]Total_Time[/C][C]0.731[/C][C]0.861[/C][C]0.59[/C][C]0.687[/C][C]0.255[/C][C]0.777[/C][C]0.685[/C][C]0.682[/C][C]0.794[/C][C]0.822[/C][C]1[/C][C]0.851[/C][C]0.85[/C][/ROW]
[ROW][C]Hyperlinks[/C][C]0.693[/C][C]0.783[/C][C]0.563[/C][C]0.635[/C][C]0.246[/C][C]0.835[/C][C]0.671[/C][C]0.681[/C][C]0.764[/C][C]0.859[/C][C]0.851[/C][C]1[/C][C]0.998[/C][/ROW]
[ROW][C]Blogs
[/C][C]0.693[/C][C]0.783[/C][C]0.559[/C][C]0.636[/C][C]0.245[/C][C]0.835[/C][C]0.669[/C][C]0.678[/C][C]0.764[/C][C]0.862[/C][C]0.85[/C][C]0.998[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154928&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154928&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	Total_Time_spent_in_RFC	Logins	Course_Compendium_Views	Compendium_Views_PR_only	Blogged_Computations	Reviewed_Compendiums	submitted_Feedback_Messages_in_Peer_Reviews	Number_of_characters	Total_number_of_revisions	Total_Time	Hyperlinks	Blogs
Pageviews	1	0.91	0.738	0.967	0.595	0.789	0.721	0.718	0.657	0.643	0.731	0.693	0.693
Total_Time_spent_in_RFC	0.91	1	0.711	0.883	0.487	0.808	0.751	0.754	0.712	0.731	0.861	0.783	0.783
Logins	0.738	0.711	1	0.666	0.434	0.545	0.588	0.587	0.525	0.494	0.59	0.563	0.559
Course_Compendium_Views	0.967	0.883	0.666	1	0.578	0.729	0.631	0.626	0.595	0.609	0.687	0.635	0.636
Compendium_Views_PR_only	0.595	0.487	0.434	0.578	1	0.315	0.369	0.359	0.293	0.215	0.255	0.246	0.245
Blogged_Computations	0.789	0.808	0.545	0.729	0.315	1	0.74	0.75	0.709	0.78	0.777	0.835	0.835
Reviewed_Compendiums	0.721	0.751	0.588	0.631	0.369	0.74	1	0.984	0.684	0.619	0.685	0.671	0.669
submitted_Feedback_Messages_in_Peer_Reviews	0.718	0.754	0.587	0.626	0.359	0.75	0.984	1	0.689	0.63	0.682	0.681	0.678
Number_of_characters	0.657	0.712	0.525	0.595	0.293	0.709	0.684	0.689	1	0.772	0.794	0.764	0.764
Total_number_of_revisions	0.643	0.731	0.494	0.609	0.215	0.78	0.619	0.63	0.772	1	0.822	0.859	0.862
Total_Time	0.731	0.861	0.59	0.687	0.255	0.777	0.685	0.682	0.794	0.822	1	0.851	0.85
Hyperlinks	0.693	0.783	0.563	0.635	0.246	0.835	0.671	0.681	0.764	0.859	0.851	1	0.998
Blogs	0.693	0.783	0.559	0.636	0.245	0.835	0.669	0.678	0.764	0.862	0.85	0.998	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Pageviews;Total_Time_spent_in_RFC	0.9102	0.8808	0.7309
p-value	(0)	(0)	(0)
Pageviews;Logins	0.7382	0.8387	0.6733
p-value	(0)	(0)	(0)
Pageviews;Course_Compendium_Views	0.9668	0.9666	0.8514
p-value	(0)	(0)	(0)
Pageviews;Compendium_Views_PR_only	0.5952	0.6771	0.5131
p-value	(0)	(0)	(0)
Pageviews;Blogged_Computations	0.7887	0.778	0.6001
p-value	(0)	(0)	(0)
Pageviews;Reviewed_Compendiums	0.7208	0.6256	0.4702
p-value	(0)	(0)	(0)
Pageviews;submitted_Feedback_Messages_in_Peer_Reviews	0.7176	0.6262	0.4644
p-value	(0)	(0)	(0)
Pageviews;Number_of_characters	0.6572	0.6085	0.4541
p-value	(0)	(0)	(0)
Pageviews;Total_number_of_revisions	0.6432	0.6317	0.4726
p-value	(0)	(0)	(0)
Pageviews;Total_Time	0.7312	0.712	0.5451
p-value	(0)	(0)	(0)
Pageviews;Hyperlinks	0.6932	0.6748	0.5069
p-value	(0)	(0)	(0)
Pageviews;Blogs	0.6934	0.6784	0.5089
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Logins	0.7107	0.7824	0.604
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Course_Compendium_Views	0.8828	0.8493	0.6826
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Compendium_Views_PR_only	0.4866	0.6031	0.4444
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Blogged_Computations	0.8083	0.7804	0.6138
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Reviewed_Compendiums	0.7512	0.6356	0.4824
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;submitted_Feedback_Messages_in_Peer_Reviews	0.7542	0.6448	0.4852
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Number_of_characters	0.7119	0.661	0.5066
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Total_number_of_revisions	0.7309	0.7175	0.5446
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Total_Time	0.8613	0.8472	0.6846
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Hyperlinks	0.7831	0.7664	0.5936
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Blogs	0.783	0.7695	0.595
p-value	(0)	(0)	(0)
Logins;Course_Compendium_Views	0.6661	0.7829	0.615
p-value	(0)	(0)	(0)
Logins;Compendium_Views_PR_only	0.4339	0.5658	0.4174
p-value	(0)	(0)	(0)
Logins;Blogged_Computations	0.5447	0.6497	0.477
p-value	(0)	(0)	(0)
Logins;Reviewed_Compendiums	0.5876	0.5827	0.4314
p-value	(0)	(0)	(0)
Logins;submitted_Feedback_Messages_in_Peer_Reviews	0.5867	0.576	0.4232
p-value	(0)	(0)	(0)
Logins;Number_of_characters	0.5254	0.583	0.4246
p-value	(0)	(0)	(0)
Logins;Total_number_of_revisions	0.4938	0.5917	0.4316
p-value	(0)	(0)	(0)
Logins;Total_Time	0.5898	0.6846	0.5169
p-value	(0)	(0)	(0)
Logins;Hyperlinks	0.5633	0.6526	0.4849
p-value	(0)	(0)	(0)
Logins;Blogs	0.5594	0.6505	0.4833
p-value	(0)	(0)	(0)
Course_Compendium_Views;Compendium_Views_PR_only	0.5782	0.6693	0.5039
p-value	(0)	(0)	(0)
Course_Compendium_Views;Blogged_Computations	0.7291	0.7346	0.5568
p-value	(0)	(0)	(0)
Course_Compendium_Views;Reviewed_Compendiums	0.6313	0.5654	0.416
p-value	(0)	(0)	(0)
Course_Compendium_Views;submitted_Feedback_Messages_in_Peer_Reviews	0.6265	0.5623	0.4064
p-value	(0)	(0)	(0)
Course_Compendium_Views;Number_of_characters	0.595	0.5666	0.4161
p-value	(0)	(0)	(0)
Course_Compendium_Views;Total_number_of_revisions	0.6087	0.6137	0.451
p-value	(0)	(0)	(0)
Course_Compendium_Views;Total_Time	0.687	0.669	0.5028
p-value	(0)	(0)	(0)
Course_Compendium_Views;Hyperlinks	0.635	0.6366	0.4739
p-value	(0)	(0)	(0)
Course_Compendium_Views;Blogs	0.636	0.6425	0.478
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;Blogged_Computations	0.3154	0.5326	0.3896
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;Reviewed_Compendiums	0.3686	0.5568	0.4181
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;submitted_Feedback_Messages_in_Peer_Reviews	0.3589	0.5418	0.4002
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;Number_of_characters	0.2934	0.4631	0.3341
p-value	(1e-04)	(0)	(0)
Compendium_Views_PR_only;Total_number_of_revisions	0.2146	0.4297	0.3074
p-value	(0.0058)	(0)	(0)
Compendium_Views_PR_only;Total_Time	0.2545	0.4531	0.3246
p-value	(0.001)	(0)	(0)
Compendium_Views_PR_only;Hyperlinks	0.2463	0.4841	0.3512
p-value	(0.0015)	(0)	(0)
Compendium_Views_PR_only;Blogs	0.2453	0.4745	0.3428
p-value	(0.0015)	(0)	(0)
Blogged_Computations;Reviewed_Compendiums	0.7405	0.6446	0.491
p-value	(0)	(0)	(0)
Blogged_Computations;submitted_Feedback_Messages_in_Peer_Reviews	0.7496	0.662	0.5012
p-value	(0)	(0)	(0)
Blogged_Computations;Number_of_characters	0.7086	0.6842	0.5233
p-value	(0)	(0)	(0)
Blogged_Computations;Total_number_of_revisions	0.78	0.7704	0.5943
p-value	(0)	(0)	(0)
Blogged_Computations;Total_Time	0.7771	0.7372	0.5704
p-value	(0)	(0)	(0)
Blogged_Computations;Hyperlinks	0.8349	0.8191	0.6515
p-value	(0)	(0)	(0)
Blogged_Computations;Blogs	0.8352	0.8216	0.6515
p-value	(0)	(0)	(0)
Reviewed_Compendiums;submitted_Feedback_Messages_in_Peer_Reviews	0.9837	0.9609	0.9036
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Number_of_characters	0.6841	0.5099	0.375
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Total_number_of_revisions	0.6188	0.4904	0.3564
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Total_Time	0.6848	0.5689	0.4284
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Hyperlinks	0.6711	0.5823	0.4408
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Blogs	0.6689	0.5771	0.4357
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Number_of_characters	0.6886	0.5346	0.3894
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Total_number_of_revisions	0.6303	0.5175	0.3768
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Total_Time	0.6822	0.5669	0.4226
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Hyperlinks	0.6811	0.5952	0.4469
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Blogs	0.6784	0.5897	0.4418
p-value	(0)	(0)	(0)
Number_of_characters;Total_number_of_revisions	0.772	0.7647	0.6038
p-value	(0)	(0)	(0)
Number_of_characters;Total_Time	0.7936	0.7491	0.5804
p-value	(0)	(0)	(0)
Number_of_characters;Hyperlinks	0.7639	0.7532	0.602
p-value	(0)	(0)	(0)
Number_of_characters;Blogs	0.7641	0.7554	0.6032
p-value	(0)	(0)	(0)
Total_number_of_revisions;Total_Time	0.8221	0.8143	0.644
p-value	(0)	(0)	(0)
Total_number_of_revisions;Hyperlinks	0.8593	0.8349	0.6712
p-value	(0)	(0)	(0)
Total_number_of_revisions;Blogs	0.8616	0.8411	0.6768
p-value	(0)	(0)	(0)
Total_Time;Hyperlinks	0.8509	0.8246	0.6638
p-value	(0)	(0)	(0)
Total_Time;Blogs	0.8504	0.8277	0.6662
p-value	(0)	(0)	(0)
Hyperlinks;Blogs	0.9983	0.9968	0.9719
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;Total_Time_spent_in_RFC & 0.9102 & 0.8808 & 0.7309 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Logins & 0.7382 & 0.8387 & 0.6733 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Course_Compendium_Views & 0.9668 & 0.9666 & 0.8514 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Compendium_Views_PR_only & 0.5952 & 0.6771 & 0.5131 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Blogged_Computations & 0.7887 & 0.778 & 0.6001 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Reviewed_Compendiums & 0.7208 & 0.6256 & 0.4702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;submitted_Feedback_Messages_in_Peer_Reviews & 0.7176 & 0.6262 & 0.4644 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Number_of_characters & 0.6572 & 0.6085 & 0.4541 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Total_number_of_revisions & 0.6432 & 0.6317 & 0.4726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Total_Time & 0.7312 & 0.712 & 0.5451 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Hyperlinks & 0.6932 & 0.6748 & 0.5069 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Blogs
 & 0.6934 & 0.6784 & 0.5089 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Logins & 0.7107 & 0.7824 & 0.604 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Course_Compendium_Views & 0.8828 & 0.8493 & 0.6826 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Compendium_Views_PR_only & 0.4866 & 0.6031 & 0.4444 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Blogged_Computations & 0.8083 & 0.7804 & 0.6138 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Reviewed_Compendiums & 0.7512 & 0.6356 & 0.4824 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;submitted_Feedback_Messages_in_Peer_Reviews & 0.7542 & 0.6448 & 0.4852 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Number_of_characters & 0.7119 & 0.661 & 0.5066 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Total_number_of_revisions & 0.7309 & 0.7175 & 0.5446 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Total_Time & 0.8613 & 0.8472 & 0.6846 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Hyperlinks & 0.7831 & 0.7664 & 0.5936 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time_spent_in_RFC;Blogs
 & 0.783 & 0.7695 & 0.595 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Course_Compendium_Views & 0.6661 & 0.7829 & 0.615 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendium_Views_PR_only & 0.4339 & 0.5658 & 0.4174 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Blogged_Computations & 0.5447 & 0.6497 & 0.477 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Reviewed_Compendiums & 0.5876 & 0.5827 & 0.4314 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;submitted_Feedback_Messages_in_Peer_Reviews & 0.5867 & 0.576 & 0.4232 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Number_of_characters & 0.5254 & 0.583 & 0.4246 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Total_number_of_revisions & 0.4938 & 0.5917 & 0.4316 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Total_Time & 0.5898 & 0.6846 & 0.5169 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Hyperlinks & 0.5633 & 0.6526 & 0.4849 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Blogs
 & 0.5594 & 0.6505 & 0.4833 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Compendium_Views_PR_only & 0.5782 & 0.6693 & 0.5039 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Blogged_Computations & 0.7291 & 0.7346 & 0.5568 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Reviewed_Compendiums & 0.6313 & 0.5654 & 0.416 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;submitted_Feedback_Messages_in_Peer_Reviews & 0.6265 & 0.5623 & 0.4064 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Number_of_characters & 0.595 & 0.5666 & 0.4161 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Total_number_of_revisions & 0.6087 & 0.6137 & 0.451 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Total_Time & 0.687 & 0.669 & 0.5028 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Hyperlinks & 0.635 & 0.6366 & 0.4739 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Course_Compendium_Views;Blogs
 & 0.636 & 0.6425 & 0.478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Blogged_Computations & 0.3154 & 0.5326 & 0.3896 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Reviewed_Compendiums & 0.3686 & 0.5568 & 0.4181 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;submitted_Feedback_Messages_in_Peer_Reviews & 0.3589 & 0.5418 & 0.4002 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Number_of_characters & 0.2934 & 0.4631 & 0.3341 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Total_number_of_revisions & 0.2146 & 0.4297 & 0.3074 \tabularnewline
p-value & (0.0058) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Total_Time & 0.2545 & 0.4531 & 0.3246 \tabularnewline
p-value & (0.001) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Hyperlinks & 0.2463 & 0.4841 & 0.3512 \tabularnewline
p-value & (0.0015) & (0) & (0) \tabularnewline
Compendium_Views_PR_only;Blogs
 & 0.2453 & 0.4745 & 0.3428 \tabularnewline
p-value & (0.0015) & (0) & (0) \tabularnewline
Blogged_Computations;Reviewed_Compendiums & 0.7405 & 0.6446 & 0.491 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged_Computations;submitted_Feedback_Messages_in_Peer_Reviews & 0.7496 & 0.662 & 0.5012 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged_Computations;Number_of_characters & 0.7086 & 0.6842 & 0.5233 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged_Computations;Total_number_of_revisions & 0.78 & 0.7704 & 0.5943 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged_Computations;Total_Time & 0.7771 & 0.7372 & 0.5704 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged_Computations;Hyperlinks & 0.8349 & 0.8191 & 0.6515 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged_Computations;Blogs
 & 0.8352 & 0.8216 & 0.6515 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;submitted_Feedback_Messages_in_Peer_Reviews & 0.9837 & 0.9609 & 0.9036 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;Number_of_characters & 0.6841 & 0.5099 & 0.375 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;Total_number_of_revisions & 0.6188 & 0.4904 & 0.3564 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;Total_Time & 0.6848 & 0.5689 & 0.4284 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;Hyperlinks & 0.6711 & 0.5823 & 0.4408 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;Blogs
 & 0.6689 & 0.5771 & 0.4357 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submitted_Feedback_Messages_in_Peer_Reviews;Number_of_characters & 0.6886 & 0.5346 & 0.3894 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submitted_Feedback_Messages_in_Peer_Reviews;Total_number_of_revisions & 0.6303 & 0.5175 & 0.3768 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submitted_Feedback_Messages_in_Peer_Reviews;Total_Time & 0.6822 & 0.5669 & 0.4226 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submitted_Feedback_Messages_in_Peer_Reviews;Hyperlinks & 0.6811 & 0.5952 & 0.4469 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submitted_Feedback_Messages_in_Peer_Reviews;Blogs
 & 0.6784 & 0.5897 & 0.4418 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Number_of_characters;Total_number_of_revisions & 0.772 & 0.7647 & 0.6038 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Number_of_characters;Total_Time & 0.7936 & 0.7491 & 0.5804 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Number_of_characters;Hyperlinks & 0.7639 & 0.7532 & 0.602 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Number_of_characters;Blogs
 & 0.7641 & 0.7554 & 0.6032 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_number_of_revisions;Total_Time & 0.8221 & 0.8143 & 0.644 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_number_of_revisions;Hyperlinks & 0.8593 & 0.8349 & 0.6712 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_number_of_revisions;Blogs
 & 0.8616 & 0.8411 & 0.6768 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time;Hyperlinks & 0.8509 & 0.8246 & 0.6638 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Total_Time;Blogs
 & 0.8504 & 0.8277 & 0.6662 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Hyperlinks;Blogs
 & 0.9983 & 0.9968 & 0.9719 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154928&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;Total_Time_spent_in_RFC[/C][C]0.9102[/C][C]0.8808[/C][C]0.7309[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Logins[/C][C]0.7382[/C][C]0.8387[/C][C]0.6733[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Course_Compendium_Views[/C][C]0.9668[/C][C]0.9666[/C][C]0.8514[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Compendium_Views_PR_only[/C][C]0.5952[/C][C]0.6771[/C][C]0.5131[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Blogged_Computations[/C][C]0.7887[/C][C]0.778[/C][C]0.6001[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Reviewed_Compendiums[/C][C]0.7208[/C][C]0.6256[/C][C]0.4702[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.7176[/C][C]0.6262[/C][C]0.4644[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Number_of_characters[/C][C]0.6572[/C][C]0.6085[/C][C]0.4541[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Total_number_of_revisions[/C][C]0.6432[/C][C]0.6317[/C][C]0.4726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Total_Time[/C][C]0.7312[/C][C]0.712[/C][C]0.5451[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Hyperlinks[/C][C]0.6932[/C][C]0.6748[/C][C]0.5069[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Blogs
[/C][C]0.6934[/C][C]0.6784[/C][C]0.5089[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Logins[/C][C]0.7107[/C][C]0.7824[/C][C]0.604[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Course_Compendium_Views[/C][C]0.8828[/C][C]0.8493[/C][C]0.6826[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Compendium_Views_PR_only[/C][C]0.4866[/C][C]0.6031[/C][C]0.4444[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Blogged_Computations[/C][C]0.8083[/C][C]0.7804[/C][C]0.6138[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Reviewed_Compendiums[/C][C]0.7512[/C][C]0.6356[/C][C]0.4824[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.7542[/C][C]0.6448[/C][C]0.4852[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Number_of_characters[/C][C]0.7119[/C][C]0.661[/C][C]0.5066[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Total_number_of_revisions[/C][C]0.7309[/C][C]0.7175[/C][C]0.5446[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Total_Time[/C][C]0.8613[/C][C]0.8472[/C][C]0.6846[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Hyperlinks[/C][C]0.7831[/C][C]0.7664[/C][C]0.5936[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time_spent_in_RFC;Blogs
[/C][C]0.783[/C][C]0.7695[/C][C]0.595[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Course_Compendium_Views[/C][C]0.6661[/C][C]0.7829[/C][C]0.615[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendium_Views_PR_only[/C][C]0.4339[/C][C]0.5658[/C][C]0.4174[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Blogged_Computations[/C][C]0.5447[/C][C]0.6497[/C][C]0.477[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Reviewed_Compendiums[/C][C]0.5876[/C][C]0.5827[/C][C]0.4314[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.5867[/C][C]0.576[/C][C]0.4232[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Number_of_characters[/C][C]0.5254[/C][C]0.583[/C][C]0.4246[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Total_number_of_revisions[/C][C]0.4938[/C][C]0.5917[/C][C]0.4316[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Total_Time[/C][C]0.5898[/C][C]0.6846[/C][C]0.5169[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Hyperlinks[/C][C]0.5633[/C][C]0.6526[/C][C]0.4849[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Blogs
[/C][C]0.5594[/C][C]0.6505[/C][C]0.4833[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Compendium_Views_PR_only[/C][C]0.5782[/C][C]0.6693[/C][C]0.5039[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Blogged_Computations[/C][C]0.7291[/C][C]0.7346[/C][C]0.5568[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Reviewed_Compendiums[/C][C]0.6313[/C][C]0.5654[/C][C]0.416[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.6265[/C][C]0.5623[/C][C]0.4064[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Number_of_characters[/C][C]0.595[/C][C]0.5666[/C][C]0.4161[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Total_number_of_revisions[/C][C]0.6087[/C][C]0.6137[/C][C]0.451[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Total_Time[/C][C]0.687[/C][C]0.669[/C][C]0.5028[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Hyperlinks[/C][C]0.635[/C][C]0.6366[/C][C]0.4739[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Course_Compendium_Views;Blogs
[/C][C]0.636[/C][C]0.6425[/C][C]0.478[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Blogged_Computations[/C][C]0.3154[/C][C]0.5326[/C][C]0.3896[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Reviewed_Compendiums[/C][C]0.3686[/C][C]0.5568[/C][C]0.4181[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.3589[/C][C]0.5418[/C][C]0.4002[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Number_of_characters[/C][C]0.2934[/C][C]0.4631[/C][C]0.3341[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Total_number_of_revisions[/C][C]0.2146[/C][C]0.4297[/C][C]0.3074[/C][/ROW]
[ROW][C]p-value[/C][C](0.0058)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Total_Time[/C][C]0.2545[/C][C]0.4531[/C][C]0.3246[/C][/ROW]
[ROW][C]p-value[/C][C](0.001)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Hyperlinks[/C][C]0.2463[/C][C]0.4841[/C][C]0.3512[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendium_Views_PR_only;Blogs
[/C][C]0.2453[/C][C]0.4745[/C][C]0.3428[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;Reviewed_Compendiums[/C][C]0.7405[/C][C]0.6446[/C][C]0.491[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.7496[/C][C]0.662[/C][C]0.5012[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;Number_of_characters[/C][C]0.7086[/C][C]0.6842[/C][C]0.5233[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;Total_number_of_revisions[/C][C]0.78[/C][C]0.7704[/C][C]0.5943[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;Total_Time[/C][C]0.7771[/C][C]0.7372[/C][C]0.5704[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;Hyperlinks[/C][C]0.8349[/C][C]0.8191[/C][C]0.6515[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged_Computations;Blogs
[/C][C]0.8352[/C][C]0.8216[/C][C]0.6515[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;submitted_Feedback_Messages_in_Peer_Reviews[/C][C]0.9837[/C][C]0.9609[/C][C]0.9036[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;Number_of_characters[/C][C]0.6841[/C][C]0.5099[/C][C]0.375[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;Total_number_of_revisions[/C][C]0.6188[/C][C]0.4904[/C][C]0.3564[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;Total_Time[/C][C]0.6848[/C][C]0.5689[/C][C]0.4284[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;Hyperlinks[/C][C]0.6711[/C][C]0.5823[/C][C]0.4408[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;Blogs
[/C][C]0.6689[/C][C]0.5771[/C][C]0.4357[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submitted_Feedback_Messages_in_Peer_Reviews;Number_of_characters[/C][C]0.6886[/C][C]0.5346[/C][C]0.3894[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submitted_Feedback_Messages_in_Peer_Reviews;Total_number_of_revisions[/C][C]0.6303[/C][C]0.5175[/C][C]0.3768[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submitted_Feedback_Messages_in_Peer_Reviews;Total_Time[/C][C]0.6822[/C][C]0.5669[/C][C]0.4226[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submitted_Feedback_Messages_in_Peer_Reviews;Hyperlinks[/C][C]0.6811[/C][C]0.5952[/C][C]0.4469[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submitted_Feedback_Messages_in_Peer_Reviews;Blogs
[/C][C]0.6784[/C][C]0.5897[/C][C]0.4418[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Number_of_characters;Total_number_of_revisions[/C][C]0.772[/C][C]0.7647[/C][C]0.6038[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Number_of_characters;Total_Time[/C][C]0.7936[/C][C]0.7491[/C][C]0.5804[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Number_of_characters;Hyperlinks[/C][C]0.7639[/C][C]0.7532[/C][C]0.602[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Number_of_characters;Blogs
[/C][C]0.7641[/C][C]0.7554[/C][C]0.6032[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_number_of_revisions;Total_Time[/C][C]0.8221[/C][C]0.8143[/C][C]0.644[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_number_of_revisions;Hyperlinks[/C][C]0.8593[/C][C]0.8349[/C][C]0.6712[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_number_of_revisions;Blogs
[/C][C]0.8616[/C][C]0.8411[/C][C]0.6768[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time;Hyperlinks[/C][C]0.8509[/C][C]0.8246[/C][C]0.6638[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Total_Time;Blogs
[/C][C]0.8504[/C][C]0.8277[/C][C]0.6662[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Hyperlinks;Blogs
[/C][C]0.9983[/C][C]0.9968[/C][C]0.9719[/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=154928&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154928&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;Total_Time_spent_in_RFC	0.9102	0.8808	0.7309
p-value	(0)	(0)	(0)
Pageviews;Logins	0.7382	0.8387	0.6733
p-value	(0)	(0)	(0)
Pageviews;Course_Compendium_Views	0.9668	0.9666	0.8514
p-value	(0)	(0)	(0)
Pageviews;Compendium_Views_PR_only	0.5952	0.6771	0.5131
p-value	(0)	(0)	(0)
Pageviews;Blogged_Computations	0.7887	0.778	0.6001
p-value	(0)	(0)	(0)
Pageviews;Reviewed_Compendiums	0.7208	0.6256	0.4702
p-value	(0)	(0)	(0)
Pageviews;submitted_Feedback_Messages_in_Peer_Reviews	0.7176	0.6262	0.4644
p-value	(0)	(0)	(0)
Pageviews;Number_of_characters	0.6572	0.6085	0.4541
p-value	(0)	(0)	(0)
Pageviews;Total_number_of_revisions	0.6432	0.6317	0.4726
p-value	(0)	(0)	(0)
Pageviews;Total_Time	0.7312	0.712	0.5451
p-value	(0)	(0)	(0)
Pageviews;Hyperlinks	0.6932	0.6748	0.5069
p-value	(0)	(0)	(0)
Pageviews;Blogs	0.6934	0.6784	0.5089
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Logins	0.7107	0.7824	0.604
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Course_Compendium_Views	0.8828	0.8493	0.6826
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Compendium_Views_PR_only	0.4866	0.6031	0.4444
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Blogged_Computations	0.8083	0.7804	0.6138
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Reviewed_Compendiums	0.7512	0.6356	0.4824
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;submitted_Feedback_Messages_in_Peer_Reviews	0.7542	0.6448	0.4852
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Number_of_characters	0.7119	0.661	0.5066
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Total_number_of_revisions	0.7309	0.7175	0.5446
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Total_Time	0.8613	0.8472	0.6846
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Hyperlinks	0.7831	0.7664	0.5936
p-value	(0)	(0)	(0)
Total_Time_spent_in_RFC;Blogs	0.783	0.7695	0.595
p-value	(0)	(0)	(0)
Logins;Course_Compendium_Views	0.6661	0.7829	0.615
p-value	(0)	(0)	(0)
Logins;Compendium_Views_PR_only	0.4339	0.5658	0.4174
p-value	(0)	(0)	(0)
Logins;Blogged_Computations	0.5447	0.6497	0.477
p-value	(0)	(0)	(0)
Logins;Reviewed_Compendiums	0.5876	0.5827	0.4314
p-value	(0)	(0)	(0)
Logins;submitted_Feedback_Messages_in_Peer_Reviews	0.5867	0.576	0.4232
p-value	(0)	(0)	(0)
Logins;Number_of_characters	0.5254	0.583	0.4246
p-value	(0)	(0)	(0)
Logins;Total_number_of_revisions	0.4938	0.5917	0.4316
p-value	(0)	(0)	(0)
Logins;Total_Time	0.5898	0.6846	0.5169
p-value	(0)	(0)	(0)
Logins;Hyperlinks	0.5633	0.6526	0.4849
p-value	(0)	(0)	(0)
Logins;Blogs	0.5594	0.6505	0.4833
p-value	(0)	(0)	(0)
Course_Compendium_Views;Compendium_Views_PR_only	0.5782	0.6693	0.5039
p-value	(0)	(0)	(0)
Course_Compendium_Views;Blogged_Computations	0.7291	0.7346	0.5568
p-value	(0)	(0)	(0)
Course_Compendium_Views;Reviewed_Compendiums	0.6313	0.5654	0.416
p-value	(0)	(0)	(0)
Course_Compendium_Views;submitted_Feedback_Messages_in_Peer_Reviews	0.6265	0.5623	0.4064
p-value	(0)	(0)	(0)
Course_Compendium_Views;Number_of_characters	0.595	0.5666	0.4161
p-value	(0)	(0)	(0)
Course_Compendium_Views;Total_number_of_revisions	0.6087	0.6137	0.451
p-value	(0)	(0)	(0)
Course_Compendium_Views;Total_Time	0.687	0.669	0.5028
p-value	(0)	(0)	(0)
Course_Compendium_Views;Hyperlinks	0.635	0.6366	0.4739
p-value	(0)	(0)	(0)
Course_Compendium_Views;Blogs	0.636	0.6425	0.478
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;Blogged_Computations	0.3154	0.5326	0.3896
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;Reviewed_Compendiums	0.3686	0.5568	0.4181
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;submitted_Feedback_Messages_in_Peer_Reviews	0.3589	0.5418	0.4002
p-value	(0)	(0)	(0)
Compendium_Views_PR_only;Number_of_characters	0.2934	0.4631	0.3341
p-value	(1e-04)	(0)	(0)
Compendium_Views_PR_only;Total_number_of_revisions	0.2146	0.4297	0.3074
p-value	(0.0058)	(0)	(0)
Compendium_Views_PR_only;Total_Time	0.2545	0.4531	0.3246
p-value	(0.001)	(0)	(0)
Compendium_Views_PR_only;Hyperlinks	0.2463	0.4841	0.3512
p-value	(0.0015)	(0)	(0)
Compendium_Views_PR_only;Blogs	0.2453	0.4745	0.3428
p-value	(0.0015)	(0)	(0)
Blogged_Computations;Reviewed_Compendiums	0.7405	0.6446	0.491
p-value	(0)	(0)	(0)
Blogged_Computations;submitted_Feedback_Messages_in_Peer_Reviews	0.7496	0.662	0.5012
p-value	(0)	(0)	(0)
Blogged_Computations;Number_of_characters	0.7086	0.6842	0.5233
p-value	(0)	(0)	(0)
Blogged_Computations;Total_number_of_revisions	0.78	0.7704	0.5943
p-value	(0)	(0)	(0)
Blogged_Computations;Total_Time	0.7771	0.7372	0.5704
p-value	(0)	(0)	(0)
Blogged_Computations;Hyperlinks	0.8349	0.8191	0.6515
p-value	(0)	(0)	(0)
Blogged_Computations;Blogs	0.8352	0.8216	0.6515
p-value	(0)	(0)	(0)
Reviewed_Compendiums;submitted_Feedback_Messages_in_Peer_Reviews	0.9837	0.9609	0.9036
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Number_of_characters	0.6841	0.5099	0.375
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Total_number_of_revisions	0.6188	0.4904	0.3564
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Total_Time	0.6848	0.5689	0.4284
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Hyperlinks	0.6711	0.5823	0.4408
p-value	(0)	(0)	(0)
Reviewed_Compendiums;Blogs	0.6689	0.5771	0.4357
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Number_of_characters	0.6886	0.5346	0.3894
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Total_number_of_revisions	0.6303	0.5175	0.3768
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Total_Time	0.6822	0.5669	0.4226
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Hyperlinks	0.6811	0.5952	0.4469
p-value	(0)	(0)	(0)
submitted_Feedback_Messages_in_Peer_Reviews;Blogs	0.6784	0.5897	0.4418
p-value	(0)	(0)	(0)
Number_of_characters;Total_number_of_revisions	0.772	0.7647	0.6038
p-value	(0)	(0)	(0)
Number_of_characters;Total_Time	0.7936	0.7491	0.5804
p-value	(0)	(0)	(0)
Number_of_characters;Hyperlinks	0.7639	0.7532	0.602
p-value	(0)	(0)	(0)
Number_of_characters;Blogs	0.7641	0.7554	0.6032
p-value	(0)	(0)	(0)
Total_number_of_revisions;Total_Time	0.8221	0.8143	0.644
p-value	(0)	(0)	(0)
Total_number_of_revisions;Hyperlinks	0.8593	0.8349	0.6712
p-value	(0)	(0)	(0)
Total_number_of_revisions;Blogs	0.8616	0.8411	0.6768
p-value	(0)	(0)	(0)
Total_Time;Hyperlinks	0.8509	0.8246	0.6638
p-value	(0)	(0)	(0)
Total_Time;Blogs	0.8504	0.8277	0.6662
p-value	(0)	(0)	(0)
Hyperlinks;Blogs	0.9983	0.9968	0.9719
p-value	(0)	(0)	(0)

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