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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 04:10:40 -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/t1323767453wu68i45voovhrvo.htm/, Retrieved Thu, 02 May 2024 16:41:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154292, Retrieved Thu, 02 May 2024 16:41:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-13 09:10:40] [080b56dea5ee02335c893a05354948d0] [Current]
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Dataseries X:
264530	64	3	34	104	25695	148
135248	60	4	30	111	19967	124
213259	66	15	42	106	14338	108
202898	97	2	35	122	34117	142
145249	48	1	26	61	9713	66
65295	27	3	31	80	10024	47
448083	106	0	29	107	39981	163
33186	19	0	18	22	1271	5
188408	53	7	31	106	30207	106
194006	41	0	30	75	18035	87
287239	101	0	42	136	21609	141
213785	104	7	53	178	19836	88
154012	64	7	35	106	9028	60
324585	73	4	51	159	21750	145
199717	77	10	40	83	10038	95
360704	170	0	55	189	30276	137
284632	65	4	35	135	34972	177
279755	140	4	35	81	19954	102
157455	51	3	25	74	28113	151
250433	78	7	44	166	18830	156
263997	68	0	45	148	37144	140
412290	99	1	39	144	17916	130
161189	37	5	25	84	16186	71
172735	52	9	52	208	19195	116
200181	109	0	41	144	29124	129
197539	110	0	37	135	29813	107
249893	123	5	38	118	20270	128
251435	80	0	36	128	26105	119
146935	50	0	30	94	9155	62
285266	56	0	37	122	18113	124
248667	71	3	45	165	40546	140
182202	70	4	42	122	10096	144
305210	82	1	48	178	32338	150
87995	34	4	33	121	2871	28
343613	88	2	39	148	36592	177
264159	54	0	37	110	4914	73
394976	114	0	41	141	30190	111
192718	77	2	32	80	18153	98
114673	31	1	17	46	12558	41
310209	174	2	39	143	32894	139
300426	76	10	36	113	24138	107
157518	61	6	38	103	16628	102
184100	71	5	36	108	26369	80
146175	52	5	35	102	14171	66
142295	75	1	45	45	8500	51
405777	138	2	38	122	11940	69
78800	42	2	26	66	7935	21
201970	70	0	45	159	19456	155
312381	110	10	46	161	21347	163
168322	53	3	45	146	24095	121
199186	70	0	34	119	26204	118
24188	24	0	4	7	2694	7
361758	297	8	44	157	20366	154
65029	17	5	18	61	3597	21
101097	64	3	14	41	5296	35
255082	52	1	37	120	29463	122
287314	79	5	53	200	35838	152
312615	168	5	36	127	42590	255
293099	126	0	37	132	38665	177
225816	76	12	36	127	19442	83
353613	132	10	46	161	25515	164
286605	112	12	28	73	51318	202
199642	95	10	42	94	11807	77
232791	82	8	38	129	24130	118
212262	62	2	33	112	34053	123
206859	63	0	28	81	22641	109
180424	122	6	31	116	18898	126
204478	132	8	40	132	24539	114
204692	71	2	33	107	21664	161
138731	62	5	25	80	21577	85
227649	64	13	45	154	16643	101
73566	32	6	23	67	3007	25
227594	75	7	45	171	18798	102
181728	50	2	38	90	24648	126
157029	56	1	38	133	20286	130
327850	74	4	41	135	23999	112
272139	84	3	36	133	26813	150
202410	103	6	37	112	14718	54
183716	59	2	36	128	16963	106
162366	59	0	37	110	16673	90
136918	44	1	25	78	14646	55
391781	104	0	45	138	31772	139
145905	67	5	26	99	9648	38
248834	96	2	40	81	23096	148
80953	25	0	8	27	7905	58
135658	51	0	27	77	4527	27
138630	51	5	32	118	37432	104
334159	172	1	37	137	21082	75
277748	98	0	57	122	30437	73
170849	101	1	41	143	36288	157
236398	83	1	37	85	12369	87
207178	70	2	38	131	23774	186
157125	59	6	28	81	8108	88
256287	71	1	36	135	15049	107
274605	73	4	33	120	36021	131
178489	35	3	32	123	30391	123
210247	47	3	34	123	30910	149
268066	70	0	35	100	40656	201
360149	138	12	58	221	35070	145
370984	104	13	30	106	47250	273
253507	110	8	45	153	36236	111
268118	60	0	37	118	29601	195
181918	170	0	36	59	10443	69
43287	14	4	19	64	7409	49
183272	74	4	23	36	18213	82
190190	124	0	36	79	40856	193
254322	46	0	40	125	36471	102
288957	86	0	40	124	26077	124
106655	57	0	23	69	24797	59
135798	79	0	41	127	6816	61
299233	64	4	40	143	25527	102
266805	78	0	42	110	22139	138
23623	11	0	1	0	238	11
174970	69	0	36	94	24459	114
61857	25	4	11	30	3913	28
151306	47	0	43	114	9895	101
358662	105	1	34	91	25902	208
21054	16	0	0	0	338	4
230091	47	5	27	69	12937	93
31414	19	0	8	9	3988	39
284519	109	2	38	133	23370	114
209481	59	7	44	150	24015	104
164406	79	13	42	131	3870	40
137093	50	2	28	81	14648	94
38214	34	0	8	21	1888	16
166059	37	2	36	128	16768	64
330057	77	0	47	168	33400	154
186273	56	0	48	155	23770	145
383228	76	4	45	157	34762	150
282555	94	0	48	145	18793	156
378836	116	3	50	175	48186	229
179928	33	0	40	137	20140	84
94389	37	0	32	89	8728	49
276677	303	4	38	144	19060	101
389527	158	4	45	160	26880	179
118033	44	15	35	121	415	15
371015	126	0	42	149	38902	154
149447	74	4	35	97	17375	90
236370	46	1	41	135	31360	133
206273	81	1	42	114	15051	133
189020	109	0	32	45	16785	97
344751	108	9	35	108	15886	116
224936	80	1	35	111	28548	221
173260	63	3	21	78	2805	15
291777	94	11	45	136	34012	157
130908	52	5	49	176	19215	105
209639	77	2	36	118	34177	150
268352	96	1	42	141	32990	177
1	0	9	0	0	0	0
14688	10	0	0	0	2065	5
98	1	0	0	0	0	0
455	2	0	0	0	0	0
0	0	1	0	0	0	0
0	0	0	0	0	0	0
201387	80	2	35	83	17428	111
347930	135	1	47	115	19912	165
0	0	0	0	0	0	0
203	4	0	0	0	0	0
7199	5	0	0	0	556	6
46660	20	0	5	13	2089	13
17547	5	0	1	4	2658	3
107465	38	0	38	65	1801	33
969	2	0	0	0	0	0
182303	60	2	28	55	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=154292&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=154292&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154292&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=kendall)
Time_in_RFC_in_secLoginsCompendiums_been_shared_by_otherReviewed_CompendiumsFeedback_Messages_+_PR_(+120_c)total_number_of_revisionstotal_number_of_included_blogs
Time_in_RFC_in_sec10.6120.1240.5020.5250.5470.596
Logins0.61210.1580.4520.4240.430.481
Compendiums_been_shared_by_other0.1240.15810.1310.1830.0750.095
Reviewed_Compendiums0.5020.4520.13110.7240.3720.447
Feedback_Messages_+_PR_(+120_c)0.5250.4240.1830.72410.4620.483
total_number_of_revisions0.5470.430.0750.3720.46210.67
total_number_of_included_blogs0.5960.4810.0950.4470.4830.671

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Time_in_RFC_in_sec & Logins & Compendiums_been_shared_by_other & Reviewed_Compendiums & Feedback_Messages_+_PR_(+120_c) & total_number_of_revisions & total_number_of_included_blogs \tabularnewline
Time_in_RFC_in_sec & 1 & 0.612 & 0.124 & 0.502 & 0.525 & 0.547 & 0.596 \tabularnewline
Logins & 0.612 & 1 & 0.158 & 0.452 & 0.424 & 0.43 & 0.481 \tabularnewline
Compendiums_been_shared_by_other & 0.124 & 0.158 & 1 & 0.131 & 0.183 & 0.075 & 0.095 \tabularnewline
Reviewed_Compendiums & 0.502 & 0.452 & 0.131 & 1 & 0.724 & 0.372 & 0.447 \tabularnewline
Feedback_Messages_+_PR_(+120_c) & 0.525 & 0.424 & 0.183 & 0.724 & 1 & 0.462 & 0.483 \tabularnewline
total_number_of_revisions & 0.547 & 0.43 & 0.075 & 0.372 & 0.462 & 1 & 0.67 \tabularnewline
total_number_of_included_blogs & 0.596 & 0.481 & 0.095 & 0.447 & 0.483 & 0.67 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154292&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Time_in_RFC_in_sec[/C][C]Logins[/C][C]Compendiums_been_shared_by_other[/C][C]Reviewed_Compendiums[/C][C]Feedback_Messages_+_PR_(+120_c)[/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]0.612[/C][C]0.124[/C][C]0.502[/C][C]0.525[/C][C]0.547[/C][C]0.596[/C][/ROW]
[ROW][C]Logins[/C][C]0.612[/C][C]1[/C][C]0.158[/C][C]0.452[/C][C]0.424[/C][C]0.43[/C][C]0.481[/C][/ROW]
[ROW][C]Compendiums_been_shared_by_other[/C][C]0.124[/C][C]0.158[/C][C]1[/C][C]0.131[/C][C]0.183[/C][C]0.075[/C][C]0.095[/C][/ROW]
[ROW][C]Reviewed_Compendiums[/C][C]0.502[/C][C]0.452[/C][C]0.131[/C][C]1[/C][C]0.724[/C][C]0.372[/C][C]0.447[/C][/ROW]
[ROW][C]Feedback_Messages_+_PR_(+120_c)[/C][C]0.525[/C][C]0.424[/C][C]0.183[/C][C]0.724[/C][C]1[/C][C]0.462[/C][C]0.483[/C][/ROW]
[ROW][C]total_number_of_revisions[/C][C]0.547[/C][C]0.43[/C][C]0.075[/C][C]0.372[/C][C]0.462[/C][C]1[/C][C]0.67[/C][/ROW]
[ROW][C]total_number_of_included_blogs[/C][C]0.596[/C][C]0.481[/C][C]0.095[/C][C]0.447[/C][C]0.483[/C][C]0.67[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154292&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154292&T=1

As an alternative you can also use a QR Code:  

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

Correlations for all pairs of data series (method=kendall)
Time_in_RFC_in_secLoginsCompendiums_been_shared_by_otherReviewed_CompendiumsFeedback_Messages_+_PR_(+120_c)total_number_of_revisionstotal_number_of_included_blogs
Time_in_RFC_in_sec10.6120.1240.5020.5250.5470.596
Logins0.61210.1580.4520.4240.430.481
Compendiums_been_shared_by_other0.1240.15810.1310.1830.0750.095
Reviewed_Compendiums0.5020.4520.13110.7240.3720.447
Feedback_Messages_+_PR_(+120_c)0.5250.4240.1830.72410.4620.483
total_number_of_revisions0.5470.430.0750.3720.46210.67
total_number_of_included_blogs0.5960.4810.0950.4470.4830.671







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;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_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;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_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;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_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)
Reviewed_Compendiums;Feedback_Messages_+_PR_(+120_c)0.91480.86010.7237
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_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_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;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_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;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_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;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_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
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_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_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_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=154292&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;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_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;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_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;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_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]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_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_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_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=154292&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154292&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;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_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;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_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;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_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)
Reviewed_Compendiums;Feedback_Messages_+_PR_(+120_c)0.91480.86010.7237
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_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_revisions;total_number_of_included_blogs0.85830.83690.6702
p-value(0)(0)(0)



Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = kendall ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')