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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 computationTue, 13 Dec 2011 04:03:12 -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/13/t13237670658q5o6s27rfymkw2.htm/, Retrieved Thu, 02 May 2024 23:58:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154290, Retrieved Thu, 02 May 2024 23:58:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-13 09:03:12] [080b56dea5ee02335c893a05354948d0] [Current]
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Dataseries X:
264530	64	3	96	34	104	124252	25695	148
135248	60	4	58	30	111	98956	19967	124
213259	66	15	69	42	106	98073	14338	108
202898	97	2	125	35	122	106816	34117	142
145249	48	1	55	26	61	41449	9713	66
65295	27	3	8	31	80	76173	10024	47
448083	106	0	135	29	107	177551	39981	163
33186	19	0	1	18	22	22807	1271	5
188408	53	7	64	31	106	126938	30207	106
194006	41	0	77	30	75	61680	18035	87
287239	101	0	90	42	136	72117	21609	141
213785	104	7	104	53	178	79738	19836	88
154012	64	7	48	35	106	57793	9028	60
324585	73	4	113	51	159	91677	21750	145
199717	77	10	68	40	83	64631	10038	95
360704	170	0	168	55	189	106385	30276	137
284632	65	4	111	35	135	161961	34972	177
279755	140	4	92	35	81	112669	19954	102
157455	51	3	93	25	74	114029	28113	151
250433	78	7	135	44	166	124550	18830	156
263997	68	0	117	45	148	105416	37144	140
412290	99	1	86	39	144	72875	17916	130
161189	37	5	50	25	84	81964	16186	71
172735	52	9	94	52	208	104880	19195	116
200181	109	0	127	41	144	76302	29124	129
197539	110	0	81	37	135	96740	29813	107
249893	123	5	93	38	118	93071	20270	128
251435	80	0	117	36	128	78912	26105	119
146935	50	0	52	30	94	35224	9155	62
285266	56	0	116	37	122	90694	18113	124
248667	71	3	114	45	165	125369	40546	140
182202	70	4	44	42	122	80849	10096	144
305210	82	1	128	48	178	104434	32338	150
87995	34	4	38	33	121	65702	2871	28
343613	88	2	117	39	148	108179	36592	177
264159	54	0	83	37	110	63583	4914	73
394976	114	0	102	41	141	95066	30190	111
192718	77	2	74	32	80	62486	18153	98
114673	31	1	33	17	46	31081	12558	41
310209	174	2	111	39	143	94584	32894	139
300426	76	10	117	36	113	87408	24138	107
157518	61	6	67	38	103	68966	16628	102
184100	71	5	69	36	108	88766	26369	80
146175	52	5	62	35	102	57139	14171	66
142295	75	1	50	45	45	90586	8500	51
405777	138	2	91	38	122	109249	11940	69
78800	42	2	20	26	66	33032	7935	21
201970	70	0	101	45	159	96056	19456	155
312381	110	10	137	46	161	146648	21347	163
168322	53	3	93	45	146	80613	24095	121
199186	70	0	89	34	119	87026	26204	118
24188	24	0	8	4	7	5950	2694	7
361758	297	8	83	44	157	131106	20366	154
65029	17	5	21	18	61	32551	3597	21
101097	64	3	30	14	41	31701	5296	35
255082	52	1	86	37	120	91072	29463	122
287314	79	5	116	53	200	159803	35838	152
312615	168	5	115	36	127	143950	42590	255
293099	126	0	139	37	132	112368	38665	177
225816	76	12	77	36	127	82124	19442	83
353613	132	10	147	46	161	144068	25515	164
286605	112	12	126	28	73	162627	51318	202
199642	95	10	57	42	94	55062	11807	77
232791	82	8	67	38	129	95329	24130	118
212262	62	2	47	33	112	105612	34053	123
206859	63	0	91	28	81	62853	22641	109
180424	122	6	79	31	116	125976	18898	126
204478	132	8	75	40	132	79146	24539	114
204692	71	2	114	33	107	108461	21664	161
138731	62	5	127	25	80	99971	21577	85
227649	64	13	91	45	154	77826	16643	101
73566	32	6	22	23	67	22618	3007	25
227594	75	7	73	45	171	84892	18798	102
181728	50	2	77	38	90	92059	24648	126
157029	56	1	105	38	133	77993	20286	130
327850	74	4	132	41	135	104155	23999	112
272139	84	3	94	36	133	109840	26813	150
202410	103	6	78	37	112	238712	14718	54
183716	59	2	126	36	128	67486	16963	106
162366	59	0	71	37	110	68007	16673	90
136918	44	1	59	25	78	48194	14646	55
391781	104	0	134	45	138	134796	31772	139
145905	67	5	30	26	99	38692	9648	38
248834	96	2	112	40	81	93587	23096	148
80953	25	0	49	8	27	56622	7905	58
135658	51	0	26	27	77	15986	4527	27
138630	51	5	70	32	118	113402	37432	104
334159	172	1	59	37	137	97967	21082	75
277748	98	0	95	57	122	74844	30437	73
170849	101	1	161	41	143	136051	36288	157
236398	83	1	74	37	85	50548	12369	87
207178	70	2	137	38	131	112215	23774	186
157125	59	6	37	28	81	59591	8108	88
256287	71	1	121	36	135	59938	15049	107
274605	73	4	61	33	120	137639	36021	131
178489	35	3	78	32	123	143372	30391	123
210247	47	3	88	34	123	138599	30910	149
268066	70	0	152	35	100	174110	40656	201
360149	138	12	151	58	221	135062	35070	145
370984	104	13	145	30	106	175681	47250	273
253507	110	8	115	45	153	130307	36236	111
268118	60	0	140	37	118	139141	29601	195
181918	170	0	73	36	59	44244	10443	69
43287	14	4	13	19	64	43750	7409	49
183272	74	4	89	23	36	48029	18213	82
190190	124	0	86	36	79	95216	40856	193
254322	46	0	122	40	125	92288	36471	102
288957	86	0	163	40	124	94588	26077	124
106655	57	0	28	23	69	197426	24797	59
135798	79	0	116	41	127	151244	6816	61
299233	64	4	76	40	143	139206	25527	102
266805	78	0	134	42	110	106271	22139	138
23623	11	0	12	1	0	1168	238	11
174970	69	0	120	36	94	71764	24459	114
61857	25	4	23	11	30	25162	3913	28
151306	47	0	83	43	114	45635	9895	101
358662	105	1	130	34	91	101817	25902	208
21054	16	0	4	0	0	855	338	4
230091	47	5	73	27	69	100174	12937	93
31414	19	0	18	8	9	14116	3988	39
284519	109	2	98	38	133	85008	23370	114
209481	59	7	68	44	150	124254	24015	104
164406	79	13	55	42	131	105793	3870	40
137093	50	2	37	28	81	117129	14648	94
38214	34	0	16	8	21	8773	1888	16
166059	37	2	61	36	128	94747	16768	64
330057	77	0	128	47	168	107549	33400	154
186273	56	0	50	48	155	97392	23770	145
383228	76	4	134	45	157	126893	34762	150
282555	94	0	139	48	145	118850	18793	156
378836	116	3	136	50	175	234853	48186	229
179928	33	0	66	40	137	74783	20140	84
94389	37	0	42	32	89	66089	8728	49
276677	303	4	82	38	144	95684	19060	101
389527	158	4	98	45	160	139537	26880	179
118033	44	15	49	35	121	144253	415	15
371015	126	0	127	42	149	153824	38902	154
149447	74	4	55	35	97	63995	17375	90
236370	46	1	104	41	135	84891	31360	133
206273	81	1	85	42	114	61263	15051	133
189020	109	0	29	32	45	106221	16785	97
344751	108	9	95	35	108	113587	15886	116
224936	80	1	120	35	111	113864	28548	221
173260	63	3	41	21	78	37238	2805	15
291777	94	11	132	45	136	119906	34012	157
130908	52	5	142	49	176	135096	19215	105
209639	77	2	88	36	118	151611	34177	150
268352	96	1	170	42	141	144645	32990	177
1	0	9	0	0	0	0	0	0
14688	10	0	4	0	0	6023	2065	5
98	1	0	0	0	0	0	0	0
455	2	0	0	0	0	0	0	0
0	0	1	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0
201387	80	2	56	35	83	77457	17428	111
347930	135	1	125	47	115	62464	19912	165
0	0	0	0	0	0	0	0	0
203	4	0	0	0	0	0	0	0
7199	5	0	7	0	0	1644	556	6
46660	20	0	12	5	13	6179	2089	13
17547	5	0	0	1	4	3926	2658	3
107465	38	0	37	38	65	42087	1801	33
969	2	0	0	0	0	0	0	0
182303	60	2	47	28	55	87656	16541	63




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154290&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]2 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=154290&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154290&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Correlations for all pairs of data series (method=pearson)
Time_in_RFC_in_secLoginsCompendiums_been_shared_by_otherBlogsReviewed_CompendiumsFeedback_Messages_+_PR_(+120_c)total_number_of_characters_in_compendiumtotal_number_of_revisionstotal_number_of_included_blogs
Time_in_RFC_in_sec10.7160.170.8030.7550.7520.6910.7320.781
Logins0.71610.1930.5530.5910.560.510.4960.561
Compendiums_been_shared_by_other0.170.19310.1050.2520.2860.2860.0880.129
Blogs0.8030.5530.10510.7480.7590.6980.7720.832
Reviewed_Compendiums0.7550.5910.2520.74810.9150.6590.6140.672
Feedback_Messages_+_PR_(+120_c)0.7520.560.2860.7590.91510.690.6590.682
total_number_of_characters_in_compendium0.6910.510.2860.6980.6590.6910.7640.74
total_number_of_revisions0.7320.4960.0880.7720.6140.6590.76410.858
total_number_of_included_blogs0.7810.5610.1290.8320.6720.6820.740.8581

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Time_in_RFC_in_sec & Logins & Compendiums_been_shared_by_other & Blogs & Reviewed_Compendiums & Feedback_Messages_+_PR_(+120_c) & total_number_of_characters_in_compendium & total_number_of_revisions & total_number_of_included_blogs \tabularnewline
Time_in_RFC_in_sec & 1 & 0.716 & 0.17 & 0.803 & 0.755 & 0.752 & 0.691 & 0.732 & 0.781 \tabularnewline
Logins & 0.716 & 1 & 0.193 & 0.553 & 0.591 & 0.56 & 0.51 & 0.496 & 0.561 \tabularnewline
Compendiums_been_shared_by_other & 0.17 & 0.193 & 1 & 0.105 & 0.252 & 0.286 & 0.286 & 0.088 & 0.129 \tabularnewline
Blogs & 0.803 & 0.553 & 0.105 & 1 & 0.748 & 0.759 & 0.698 & 0.772 & 0.832 \tabularnewline
Reviewed_Compendiums & 0.755 & 0.591 & 0.252 & 0.748 & 1 & 0.915 & 0.659 & 0.614 & 0.672 \tabularnewline
Feedback_Messages_+_PR_(+120_c) & 0.752 & 0.56 & 0.286 & 0.759 & 0.915 & 1 & 0.69 & 0.659 & 0.682 \tabularnewline
total_number_of_characters_in_compendium & 0.691 & 0.51 & 0.286 & 0.698 & 0.659 & 0.69 & 1 & 0.764 & 0.74 \tabularnewline
total_number_of_revisions & 0.732 & 0.496 & 0.088 & 0.772 & 0.614 & 0.659 & 0.764 & 1 & 0.858 \tabularnewline
total_number_of_included_blogs & 0.781 & 0.561 & 0.129 & 0.832 & 0.672 & 0.682 & 0.74 & 0.858 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154290&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Time_in_RFC_in_sec[/C][C]Logins[/C][C]Compendiums_been_shared_by_other[/C][C]Blogs[/C][C]Reviewed_Compendiums[/C][C]Feedback_Messages_+_PR_(+120_c)[/C][C]total_number_of_characters_in_compendium[/C][C]total_number_of_revisions[/C][C]total_number_of_included_blogs[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec[/C][C]1[/C][C]0.716[/C][C]0.17[/C][C]0.803[/C][C]0.755[/C][C]0.752[/C][C]0.691[/C][C]0.732[/C][C]0.781[/C][/ROW]
[ROW][C]Logins[/C][C]0.716[/C][C]1[/C][C]0.193[/C][C]0.553[/C][C]0.591[/C][C]0.56[/C][C]0.51[/C][C]0.496[/C][C]0.561[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other[/C][C]0.17[/C][C]0.193[/C][C]1[/C][C]0.105[/C][C]0.252[/C][C]0.286[/C][C]0.286[/C][C]0.088[/C][C]0.129[/C][/ROW]
[ROW][C]Blogs[/C][C]0.803[/C][C]0.553[/C][C]0.105[/C][C]1[/C][C]0.748[/C][C]0.759[/C][C]0.698[/C][C]0.772[/C][C]0.832[/C][/ROW]
[ROW][C]Reviewed_Compendiums[/C][C]0.755[/C][C]0.591[/C][C]0.252[/C][C]0.748[/C][C]1[/C][C]0.915[/C][C]0.659[/C][C]0.614[/C][C]0.672[/C][/ROW]
[ROW][C]Feedback_Messages_+_PR_(+120_c)[/C][C]0.752[/C][C]0.56[/C][C]0.286[/C][C]0.759[/C][C]0.915[/C][C]1[/C][C]0.69[/C][C]0.659[/C][C]0.682[/C][/ROW]
[ROW][C]total_number_of_characters_in_compendium[/C][C]0.691[/C][C]0.51[/C][C]0.286[/C][C]0.698[/C][C]0.659[/C][C]0.69[/C][C]1[/C][C]0.764[/C][C]0.74[/C][/ROW]
[ROW][C]total_number_of_revisions[/C][C]0.732[/C][C]0.496[/C][C]0.088[/C][C]0.772[/C][C]0.614[/C][C]0.659[/C][C]0.764[/C][C]1[/C][C]0.858[/C][/ROW]
[ROW][C]total_number_of_included_blogs[/C][C]0.781[/C][C]0.561[/C][C]0.129[/C][C]0.832[/C][C]0.672[/C][C]0.682[/C][C]0.74[/C][C]0.858[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154290&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154290&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)
Time_in_RFC_in_secLoginsCompendiums_been_shared_by_otherBlogsReviewed_CompendiumsFeedback_Messages_+_PR_(+120_c)total_number_of_characters_in_compendiumtotal_number_of_revisionstotal_number_of_included_blogs
Time_in_RFC_in_sec10.7160.170.8030.7550.7520.6910.7320.781
Logins0.71610.1930.5530.5910.560.510.4960.561
Compendiums_been_shared_by_other0.170.19310.1050.2520.2860.2860.0880.129
Blogs0.8030.5530.10510.7480.7590.6980.7720.832
Reviewed_Compendiums0.7550.5910.2520.74810.9150.6590.6140.672
Feedback_Messages_+_PR_(+120_c)0.7520.560.2860.7590.91510.690.6590.682
total_number_of_characters_in_compendium0.6910.510.2860.6980.6590.6910.7640.74
total_number_of_revisions0.7320.4960.0880.7720.6140.6590.76410.858
total_number_of_included_blogs0.7810.5610.1290.8320.6720.6820.740.8581







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Time_in_RFC_in_sec;Logins0.71620.78820.6122
p-value(0)(0)(0)
Time_in_RFC_in_sec;Compendiums_been_shared_by_other0.17010.17020.1242
p-value(0.0295)(0.0293)(0.0269)
Time_in_RFC_in_sec;Blogs0.8030.78220.617
p-value(0)(0)(0)
Time_in_RFC_in_sec;Reviewed_Compendiums0.7550.65940.5018
p-value(0)(0)(0)
Time_in_RFC_in_sec;Feedback_Messages_+_PR_(+120_c)0.7520.69510.5253
p-value(0)(0)(0)
Time_in_RFC_in_sec;total_number_of_characters_in_compendium0.69150.65050.4947
p-value(0)(0)(0)
Time_in_RFC_in_sec;total_number_of_revisions0.73170.72330.5469
p-value(0)(0)(0)
Time_in_RFC_in_sec;total_number_of_included_blogs0.78140.77050.5955
p-value(0)(0)(0)
Logins;Compendiums_been_shared_by_other0.19270.21760.1581
p-value(0.0135)(0.0051)(0.005)
Logins;Blogs0.55340.65940.4889
p-value(0)(0)(0)
Logins;Reviewed_Compendiums0.59080.60950.4519
p-value(0)(0)(0)
Logins;Feedback_Messages_+_PR_(+120_c)0.56040.57310.4238
p-value(0)(0)(0)
Logins;total_number_of_characters_in_compendium0.510.57060.414
p-value(0)(0)(0)
Logins;total_number_of_revisions0.49620.59080.4296
p-value(0)(0)(0)
Logins;total_number_of_included_blogs0.56110.64630.4807
p-value(0)(0)(0)
Compendiums_been_shared_by_other;Blogs0.10510.08120.0582
p-value(0.1805)(0.3013)(0.302)
Compendiums_been_shared_by_other;Reviewed_Compendiums0.25150.18320.1308
p-value(0.0012)(0.0189)(0.022)
Compendiums_been_shared_by_other;Feedback_Messages_+_PR_(+120_c)0.28620.24980.1826
p-value(2e-04)(0.0013)(0.0012)
Compendiums_been_shared_by_other;total_number_of_characters_in_compendium0.28610.31030.2325
p-value(2e-04)(1e-04)(0)
Compendiums_been_shared_by_other;total_number_of_revisions0.08760.10230.0747
p-value(0.2647)(0.1925)(0.1839)
Compendiums_been_shared_by_other;total_number_of_included_blogs0.12880.13210.0946
p-value(0.1001)(0.0917)(0.093)
Blogs;Reviewed_Compendiums0.74830.66660.5086
p-value(0)(0)(0)
Blogs;Feedback_Messages_+_PR_(+120_c)0.75930.70150.5294
p-value(0)(0)(0)
Blogs;total_number_of_characters_in_compendium0.69790.67880.5147
p-value(0)(0)(0)
Blogs;total_number_of_revisions0.77250.76190.5864
p-value(0)(0)(0)
Blogs;total_number_of_included_blogs0.83220.82840.6561
p-value(0)(0)(0)
Reviewed_Compendiums;Feedback_Messages_+_PR_(+120_c)0.91480.86010.7237
p-value(0)(0)(0)
Reviewed_Compendiums;total_number_of_characters_in_compendium0.65910.50450.3739
p-value(0)(0)(0)
Reviewed_Compendiums;total_number_of_revisions0.61430.51310.372
p-value(0)(0)(0)
Reviewed_Compendiums;total_number_of_included_blogs0.67230.5920.4466
p-value(0)(0)(0)
Feedback_Messages_+_PR_(+120_c);total_number_of_characters_in_compendium0.69020.62530.4659
p-value(0)(0)(0)
Feedback_Messages_+_PR_(+120_c);total_number_of_revisions0.65860.63360.4619
p-value(0)(0)(0)
Feedback_Messages_+_PR_(+120_c);total_number_of_included_blogs0.68250.65230.4831
p-value(0)(0)(0)
total_number_of_characters_in_compendium;total_number_of_revisions0.76370.75610.5953
p-value(0)(0)(0)
total_number_of_characters_in_compendium;total_number_of_included_blogs0.74050.73580.5834
p-value(0)(0)(0)
total_number_of_revisions;total_number_of_included_blogs0.85830.83690.6702
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
Time_in_RFC_in_sec;Logins & 0.7162 & 0.7882 & 0.6122 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC_in_sec;Compendiums_been_shared_by_other & 0.1701 & 0.1702 & 0.1242 \tabularnewline
p-value & (0.0295) & (0.0293) & (0.0269) \tabularnewline
Time_in_RFC_in_sec;Blogs & 0.803 & 0.7822 & 0.617 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC_in_sec;Reviewed_Compendiums & 0.755 & 0.6594 & 0.5018 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC_in_sec;Feedback_Messages_+_PR_(+120_c) & 0.752 & 0.6951 & 0.5253 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC_in_sec;total_number_of_characters_in_compendium & 0.6915 & 0.6505 & 0.4947 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC_in_sec;total_number_of_revisions & 0.7317 & 0.7233 & 0.5469 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC_in_sec;total_number_of_included_blogs & 0.7814 & 0.7705 & 0.5955 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendiums_been_shared_by_other & 0.1927 & 0.2176 & 0.1581 \tabularnewline
p-value & (0.0135) & (0.0051) & (0.005) \tabularnewline
Logins;Blogs & 0.5534 & 0.6594 & 0.4889 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Reviewed_Compendiums & 0.5908 & 0.6095 & 0.4519 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Feedback_Messages_+_PR_(+120_c) & 0.5604 & 0.5731 & 0.4238 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;total_number_of_characters_in_compendium & 0.51 & 0.5706 & 0.414 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;total_number_of_revisions & 0.4962 & 0.5908 & 0.4296 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;total_number_of_included_blogs & 0.5611 & 0.6463 & 0.4807 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_been_shared_by_other;Blogs & 0.1051 & 0.0812 & 0.0582 \tabularnewline
p-value & (0.1805) & (0.3013) & (0.302) \tabularnewline
Compendiums_been_shared_by_other;Reviewed_Compendiums & 0.2515 & 0.1832 & 0.1308 \tabularnewline
p-value & (0.0012) & (0.0189) & (0.022) \tabularnewline
Compendiums_been_shared_by_other;Feedback_Messages_+_PR_(+120_c) & 0.2862 & 0.2498 & 0.1826 \tabularnewline
p-value & (2e-04) & (0.0013) & (0.0012) \tabularnewline
Compendiums_been_shared_by_other;total_number_of_characters_in_compendium & 0.2861 & 0.3103 & 0.2325 \tabularnewline
p-value & (2e-04) & (1e-04) & (0) \tabularnewline
Compendiums_been_shared_by_other;total_number_of_revisions & 0.0876 & 0.1023 & 0.0747 \tabularnewline
p-value & (0.2647) & (0.1925) & (0.1839) \tabularnewline
Compendiums_been_shared_by_other;total_number_of_included_blogs & 0.1288 & 0.1321 & 0.0946 \tabularnewline
p-value & (0.1001) & (0.0917) & (0.093) \tabularnewline
Blogs;Reviewed_Compendiums & 0.7483 & 0.6666 & 0.5086 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;Feedback_Messages_+_PR_(+120_c) & 0.7593 & 0.7015 & 0.5294 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;total_number_of_characters_in_compendium & 0.6979 & 0.6788 & 0.5147 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;total_number_of_revisions & 0.7725 & 0.7619 & 0.5864 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;total_number_of_included_blogs & 0.8322 & 0.8284 & 0.6561 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;Feedback_Messages_+_PR_(+120_c) & 0.9148 & 0.8601 & 0.7237 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;total_number_of_characters_in_compendium & 0.6591 & 0.5045 & 0.3739 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;total_number_of_revisions & 0.6143 & 0.5131 & 0.372 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed_Compendiums;total_number_of_included_blogs & 0.6723 & 0.592 & 0.4466 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_Messages_+_PR_(+120_c);total_number_of_characters_in_compendium & 0.6902 & 0.6253 & 0.4659 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_Messages_+_PR_(+120_c);total_number_of_revisions & 0.6586 & 0.6336 & 0.4619 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_Messages_+_PR_(+120_c);total_number_of_included_blogs & 0.6825 & 0.6523 & 0.4831 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
total_number_of_characters_in_compendium;total_number_of_revisions & 0.7637 & 0.7561 & 0.5953 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
total_number_of_characters_in_compendium;total_number_of_included_blogs & 0.7405 & 0.7358 & 0.5834 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
total_number_of_revisions;total_number_of_included_blogs & 0.8583 & 0.8369 & 0.6702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154290&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]Time_in_RFC_in_sec;Logins[/C][C]0.7162[/C][C]0.7882[/C][C]0.6122[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;Compendiums_been_shared_by_other[/C][C]0.1701[/C][C]0.1702[/C][C]0.1242[/C][/ROW]
[ROW][C]p-value[/C][C](0.0295)[/C][C](0.0293)[/C][C](0.0269)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;Blogs[/C][C]0.803[/C][C]0.7822[/C][C]0.617[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;Reviewed_Compendiums[/C][C]0.755[/C][C]0.6594[/C][C]0.5018[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;Feedback_Messages_+_PR_(+120_c)[/C][C]0.752[/C][C]0.6951[/C][C]0.5253[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;total_number_of_characters_in_compendium[/C][C]0.6915[/C][C]0.6505[/C][C]0.4947[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;total_number_of_revisions[/C][C]0.7317[/C][C]0.7233[/C][C]0.5469[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC_in_sec;total_number_of_included_blogs[/C][C]0.7814[/C][C]0.7705[/C][C]0.5955[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendiums_been_shared_by_other[/C][C]0.1927[/C][C]0.2176[/C][C]0.1581[/C][/ROW]
[ROW][C]p-value[/C][C](0.0135)[/C][C](0.0051)[/C][C](0.005)[/C][/ROW]
[ROW][C]Logins;Blogs[/C][C]0.5534[/C][C]0.6594[/C][C]0.4889[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Reviewed_Compendiums[/C][C]0.5908[/C][C]0.6095[/C][C]0.4519[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Feedback_Messages_+_PR_(+120_c)[/C][C]0.5604[/C][C]0.5731[/C][C]0.4238[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;total_number_of_characters_in_compendium[/C][C]0.51[/C][C]0.5706[/C][C]0.414[/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]0.4962[/C][C]0.5908[/C][C]0.4296[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;total_number_of_included_blogs[/C][C]0.5611[/C][C]0.6463[/C][C]0.4807[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other;Blogs[/C][C]0.1051[/C][C]0.0812[/C][C]0.0582[/C][/ROW]
[ROW][C]p-value[/C][C](0.1805)[/C][C](0.3013)[/C][C](0.302)[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other;Reviewed_Compendiums[/C][C]0.2515[/C][C]0.1832[/C][C]0.1308[/C][/ROW]
[ROW][C]p-value[/C][C](0.0012)[/C][C](0.0189)[/C][C](0.022)[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other;Feedback_Messages_+_PR_(+120_c)[/C][C]0.2862[/C][C]0.2498[/C][C]0.1826[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0.0013)[/C][C](0.0012)[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other;total_number_of_characters_in_compendium[/C][C]0.2861[/C][C]0.3103[/C][C]0.2325[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other;total_number_of_revisions[/C][C]0.0876[/C][C]0.1023[/C][C]0.0747[/C][/ROW]
[ROW][C]p-value[/C][C](0.2647)[/C][C](0.1925)[/C][C](0.1839)[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other;total_number_of_included_blogs[/C][C]0.1288[/C][C]0.1321[/C][C]0.0946[/C][/ROW]
[ROW][C]p-value[/C][C](0.1001)[/C][C](0.0917)[/C][C](0.093)[/C][/ROW]
[ROW][C]Blogs;Reviewed_Compendiums[/C][C]0.7483[/C][C]0.6666[/C][C]0.5086[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;Feedback_Messages_+_PR_(+120_c)[/C][C]0.7593[/C][C]0.7015[/C][C]0.5294[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;total_number_of_characters_in_compendium[/C][C]0.6979[/C][C]0.6788[/C][C]0.5147[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;total_number_of_revisions[/C][C]0.7725[/C][C]0.7619[/C][C]0.5864[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;total_number_of_included_blogs[/C][C]0.8322[/C][C]0.8284[/C][C]0.6561[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;Feedback_Messages_+_PR_(+120_c)[/C][C]0.9148[/C][C]0.8601[/C][C]0.7237[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;total_number_of_characters_in_compendium[/C][C]0.6591[/C][C]0.5045[/C][C]0.3739[/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]0.6143[/C][C]0.5131[/C][C]0.372[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed_Compendiums;total_number_of_included_blogs[/C][C]0.6723[/C][C]0.592[/C][C]0.4466[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_Messages_+_PR_(+120_c);total_number_of_characters_in_compendium[/C][C]0.6902[/C][C]0.6253[/C][C]0.4659[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_Messages_+_PR_(+120_c);total_number_of_revisions[/C][C]0.6586[/C][C]0.6336[/C][C]0.4619[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_Messages_+_PR_(+120_c);total_number_of_included_blogs[/C][C]0.6825[/C][C]0.6523[/C][C]0.4831[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]total_number_of_characters_in_compendium;total_number_of_revisions[/C][C]0.7637[/C][C]0.7561[/C][C]0.5953[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]total_number_of_characters_in_compendium;total_number_of_included_blogs[/C][C]0.7405[/C][C]0.7358[/C][C]0.5834[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]total_number_of_revisions;total_number_of_included_blogs[/C][C]0.8583[/C][C]0.8369[/C][C]0.6702[/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=154290&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154290&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
Time_in_RFC_in_sec;Logins0.71620.78820.6122
p-value(0)(0)(0)
Time_in_RFC_in_sec;Compendiums_been_shared_by_other0.17010.17020.1242
p-value(0.0295)(0.0293)(0.0269)
Time_in_RFC_in_sec;Blogs0.8030.78220.617
p-value(0)(0)(0)
Time_in_RFC_in_sec;Reviewed_Compendiums0.7550.65940.5018
p-value(0)(0)(0)
Time_in_RFC_in_sec;Feedback_Messages_+_PR_(+120_c)0.7520.69510.5253
p-value(0)(0)(0)
Time_in_RFC_in_sec;total_number_of_characters_in_compendium0.69150.65050.4947
p-value(0)(0)(0)
Time_in_RFC_in_sec;total_number_of_revisions0.73170.72330.5469
p-value(0)(0)(0)
Time_in_RFC_in_sec;total_number_of_included_blogs0.78140.77050.5955
p-value(0)(0)(0)
Logins;Compendiums_been_shared_by_other0.19270.21760.1581
p-value(0.0135)(0.0051)(0.005)
Logins;Blogs0.55340.65940.4889
p-value(0)(0)(0)
Logins;Reviewed_Compendiums0.59080.60950.4519
p-value(0)(0)(0)
Logins;Feedback_Messages_+_PR_(+120_c)0.56040.57310.4238
p-value(0)(0)(0)
Logins;total_number_of_characters_in_compendium0.510.57060.414
p-value(0)(0)(0)
Logins;total_number_of_revisions0.49620.59080.4296
p-value(0)(0)(0)
Logins;total_number_of_included_blogs0.56110.64630.4807
p-value(0)(0)(0)
Compendiums_been_shared_by_other;Blogs0.10510.08120.0582
p-value(0.1805)(0.3013)(0.302)
Compendiums_been_shared_by_other;Reviewed_Compendiums0.25150.18320.1308
p-value(0.0012)(0.0189)(0.022)
Compendiums_been_shared_by_other;Feedback_Messages_+_PR_(+120_c)0.28620.24980.1826
p-value(2e-04)(0.0013)(0.0012)
Compendiums_been_shared_by_other;total_number_of_characters_in_compendium0.28610.31030.2325
p-value(2e-04)(1e-04)(0)
Compendiums_been_shared_by_other;total_number_of_revisions0.08760.10230.0747
p-value(0.2647)(0.1925)(0.1839)
Compendiums_been_shared_by_other;total_number_of_included_blogs0.12880.13210.0946
p-value(0.1001)(0.0917)(0.093)
Blogs;Reviewed_Compendiums0.74830.66660.5086
p-value(0)(0)(0)
Blogs;Feedback_Messages_+_PR_(+120_c)0.75930.70150.5294
p-value(0)(0)(0)
Blogs;total_number_of_characters_in_compendium0.69790.67880.5147
p-value(0)(0)(0)
Blogs;total_number_of_revisions0.77250.76190.5864
p-value(0)(0)(0)
Blogs;total_number_of_included_blogs0.83220.82840.6561
p-value(0)(0)(0)
Reviewed_Compendiums;Feedback_Messages_+_PR_(+120_c)0.91480.86010.7237
p-value(0)(0)(0)
Reviewed_Compendiums;total_number_of_characters_in_compendium0.65910.50450.3739
p-value(0)(0)(0)
Reviewed_Compendiums;total_number_of_revisions0.61430.51310.372
p-value(0)(0)(0)
Reviewed_Compendiums;total_number_of_included_blogs0.67230.5920.4466
p-value(0)(0)(0)
Feedback_Messages_+_PR_(+120_c);total_number_of_characters_in_compendium0.69020.62530.4659
p-value(0)(0)(0)
Feedback_Messages_+_PR_(+120_c);total_number_of_revisions0.65860.63360.4619
p-value(0)(0)(0)
Feedback_Messages_+_PR_(+120_c);total_number_of_included_blogs0.68250.65230.4831
p-value(0)(0)(0)
total_number_of_characters_in_compendium;total_number_of_revisions0.76370.75610.5953
p-value(0)(0)(0)
total_number_of_characters_in_compendium;total_number_of_included_blogs0.74050.73580.5834
p-value(0)(0)(0)
total_number_of_revisions;total_number_of_included_blogs0.85830.83690.6702
p-value(0)(0)(0)



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')