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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 21 Dec 2011 09:09:07 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t1324476576efu3t7cjhegpkns.htm/, Retrieved Tue, 07 May 2024 11:47:02 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158710, Retrieved Tue, 07 May 2024 11:47:02 +0000

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

-       [Kendall tau Correlation Matrix] [pearson correlati...] [2011-12-21 14:09:07] [452d9c400285ceb08a690c4b81b76477] [Current]

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159261	91	19	48	6200	39	111	0
189672	59	20	53	10265	46	76	1
7215	18	0	0	603	0	1	0
129098	95	27	51	8874	54	155	0
230632	136	31	76	20323	93	125	0
515038	263	36	136	26258	198	278	1
180745	56	23	62	10165	42	89	1
185559	59	30	83	8247	59	59	0
154581	44	30	55	8683	49	87	0
298001	96	26	67	16957	83	129	1
121844	75	24	50	8058	49	158	2
184039	69	30	77	20488	83	120	0
100324	98	22	46	7945	39	87	0
220269	119	28	79	13448	93	264	4
168265	58	18	56	5389	31	51	4
154647	88	22	54	6185	29	85	3
142018	57	33	81	24369	104	96	0
79030	61	15	6	70	2	72	5
167047	87	34	74	17327	46	147	0
27997	24	18	13	3878	27	49	0
73019	59	15	22	3149	16	40	0
241082	100	30	99	20517	108	99	0
195820	72	25	38	2570	36	127	0
142001	54	34	59	5162	33	164	1
145433	86	21	50	5299	46	41	1
183744	32	21	50	7233	65	160	0
202357	163	25	61	15657	80	92	0
199532	93	31	87	15329	81	59	0
354924	118	31	60	14881	69	89	0
192399	44	20	52	16318	69	90	0
182286	44	28	61	9556	37	76	0
181590	45	22	60	10462	45	116	2
133801	105	17	53	7192	62	92	4
233686	123	25	76	4362	33	344	0
219428	53	24	63	14349	77	84	1
0	1	0	0	0	0	0	0
223044	63	28	54	10881	34	61	0
100129	51	14	44	8022	44	138	3
145864	49	35	42	13073	43	270	9
249965	64	34	83	26641	117	64	0
242379	71	22	105	14426	125	96	2
145794	59	34	37	15604	49	62	0
96404	32	23	25	9184	76	35	2
195891	78	24	64	5989	81	59	1
117156	50	26	55	11270	111	56	2
157787	95	22	41	13958	61	40	2
81293	32	35	23	7162	56	49	1
237435	101	24	75	13275	54	121	0
233155	89	31	59	21224	47	113	1
160344	59	26	68	10615	55	172	8
48188	28	22	12	2102	14	37	0
161922	69	21	99	12396	44	51	0
307432	74	27	78	18717	115	89	0
235223	79	30	56	9724	57	73	0
195583	59	33	67	9863	48	49	1
146061	56	11	40	8374	40	74	8
208834	67	26	53	8030	51	58	0
93764	24	26	26	7509	32	72	1
151985	66	23	67	14146	36	32	0
193222	96	38	36	7768	47	59	10
148922	60	31	50	13823	51	70	6
132856	80	20	48	7230	37	85	0
129561	61	22	46	10170	52	87	11
112718	37	26	53	7573	42	48	3
160930	35	26	27	5753	11	56	0
99184	41	33	38	9791	47	41	0
192535	70	36	71	19365	59	86	8
138708	65	25	93	9422	82	152	2
114408	38	24	59	12310	49	48	0
31970	15	21	5	1283	6	40	0
225558	112	19	53	6372	83	135	3
139220	72	12	40	5413	56	83	1
113612	68	30	72	10837	114	62	2
108641	71	21	51	3394	46	91	1
162203	67	34	81	12964	46	91	0
100098	44	32	27	3495	2	82	2
174768	60	28	94	11580	51	112	1
158459	97	28	71	9970	96	69	0
80934	30	21	20	4911	20	78	0
84971	71	31	34	10138	57	105	0
80545	68	26	54	14697	49	49	0
287191	64	29	49	8464	51	60	0
62974	28	23	26	4204	40	49	1
134091	40	25	48	10226	40	132	0
75555	46	22	35	3456	36	49	0
162154	54	26	32	8895	64	71	0
226638	227	33	55	22557	117	100	0
115367	112	24	58	6900	40	74	0
108749	62	24	44	8620	46	49	7
155537	52	21	45	7820	61	72	0
153133	41	28	49	12112	59	59	5
165618	78	27	72	13178	94	90	1
151517	57	25	39	7028	36	68	0
133686	58	15	28	6616	51	81	0
61342	40	13	24	9570	39	33	0
245196	117	36	52	14612	62	166	0
195576	70	24	96	11219	79	94	0
19349	12	1	13	786	14	15	0
225371	105	24	38	11252	45	104	3
153213	78	31	41	9289	43	61	0
59117	29	4	24	593	8	11	0
91762	24	21	54	6562	41	45	0
136769	54	23	68	8208	25	84	0
114798	61	23	28	7488	22	66	1
85338	40	12	36	4574	18	27	1
27676	22	16	2	522	3	59	0
153535	48	29	91	12840	54	127	0
122417	37	26	29	1350	6	48	0
0	0	0	0	0	0	0	0
91529	32	25	46	10623	50	58	0
107205	67	21	25	5322	33	57	0
144664	45	23	51	7987	54	59	0
146445	63	21	60	10566	63	76	1
76656	60	21	36	1900	56	71	0
3616	5	0	0	0	0	5	0
0	0	0	0	0	0	0	0
183088	44	23	40	10698	49	70	0
144677	84	33	68	14884	90	76	0
159104	98	30	28	6852	51	122	2
113273	38	23	36	6873	29	56	0
43410	19	1	7	4	1	63	0
175774	73	29	70	9188	68	92	1
95401	42	18	30	5141	29	54	0
134837	55	33	69	4260	27	64	8
60493	40	12	3	443	4	29	3
19764	12	2	10	2416	10	19	1
164062	56	21	46	9831	47	64	3
132696	33	28	34	5953	44	79	0
155367	54	29	54	9435	53	97	0
11796	9	2	1	0	0	22	0
10674	9	0	0	0	0	7	0
142261	57	18	39	7642	40	37	0
6836	3	1	0	0	0	5	0
162563	63	21	48	6837	57	48	6
5118	3	0	5	0	0	1	0
40248	16	4	8	775	6	34	1
0	0	0	0	0	0	0	0
122641	47	25	38	8191	24	49	0
88837	38	26	21	1661	34	44	0
7131	4	0	0	0	0	0	1
9056	14	4	0	548	10	18	0
76611	24	17	15	3080	16	48	1
132697	51	21	50	13400	93	54	0
100681	19	22	17	8181	28	50	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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=158710&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=158710&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158710&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	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	time_spent_seconds	number_logins	number_reviewed_compendium	total_blogged_computation	writing_number_revisions	wrtiting_number_hyperlinks	number_compendium_views	number_compediums_shared
time_spent_seconds	1	0.768	0.677	0.788	0.743	0.745	0.609	0.087
number_logins	0.768	1	0.557	0.644	0.628	0.692	0.604	0.086
number_reviewed_compendium	0.677	0.557	1	0.675	0.687	0.605	0.516	0.152
total_blogged_computation	0.788	0.644	0.675	1	0.768	0.783	0.574	0.074
writing_number_revisions	0.743	0.628	0.687	0.768	1	0.806	0.447	0.057
wrtiting_number_hyperlinks	0.745	0.692	0.605	0.783	0.806	1	0.478	0.051
number_compendium_views	0.609	0.604	0.516	0.574	0.447	0.478	1	0.188
number_compediums_shared	0.087	0.086	0.152	0.074	0.057	0.051	0.188	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_spent_seconds & number_logins & number_reviewed_compendium & total_blogged_computation & writing_number_revisions & wrtiting_number_hyperlinks & number_compendium_views & number_compediums_shared \tabularnewline
time_spent_seconds & 1 & 0.768 & 0.677 & 0.788 & 0.743 & 0.745 & 0.609 & 0.087 \tabularnewline
number_logins & 0.768 & 1 & 0.557 & 0.644 & 0.628 & 0.692 & 0.604 & 0.086 \tabularnewline
number_reviewed_compendium & 0.677 & 0.557 & 1 & 0.675 & 0.687 & 0.605 & 0.516 & 0.152 \tabularnewline
total_blogged_computation & 0.788 & 0.644 & 0.675 & 1 & 0.768 & 0.783 & 0.574 & 0.074 \tabularnewline
writing_number_revisions & 0.743 & 0.628 & 0.687 & 0.768 & 1 & 0.806 & 0.447 & 0.057 \tabularnewline
wrtiting_number_hyperlinks & 0.745 & 0.692 & 0.605 & 0.783 & 0.806 & 1 & 0.478 & 0.051 \tabularnewline
number_compendium_views & 0.609 & 0.604 & 0.516 & 0.574 & 0.447 & 0.478 & 1 & 0.188 \tabularnewline
number_compediums_shared & 0.087 & 0.086 & 0.152 & 0.074 & 0.057 & 0.051 & 0.188 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158710&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]time_spent_seconds[/C][C]number_logins[/C][C]number_reviewed_compendium[/C][C]total_blogged_computation[/C][C]writing_number_revisions[/C][C]wrtiting_number_hyperlinks[/C][C]number_compendium_views[/C][C]number_compediums_shared[/C][/ROW]
[ROW][C]time_spent_seconds[/C][C]1[/C][C]0.768[/C][C]0.677[/C][C]0.788[/C][C]0.743[/C][C]0.745[/C][C]0.609[/C][C]0.087[/C][/ROW]
[ROW][C]number_logins[/C][C]0.768[/C][C]1[/C][C]0.557[/C][C]0.644[/C][C]0.628[/C][C]0.692[/C][C]0.604[/C][C]0.086[/C][/ROW]
[ROW][C]number_reviewed_compendium[/C][C]0.677[/C][C]0.557[/C][C]1[/C][C]0.675[/C][C]0.687[/C][C]0.605[/C][C]0.516[/C][C]0.152[/C][/ROW]
[ROW][C]total_blogged_computation[/C][C]0.788[/C][C]0.644[/C][C]0.675[/C][C]1[/C][C]0.768[/C][C]0.783[/C][C]0.574[/C][C]0.074[/C][/ROW]
[ROW][C]writing_number_revisions[/C][C]0.743[/C][C]0.628[/C][C]0.687[/C][C]0.768[/C][C]1[/C][C]0.806[/C][C]0.447[/C][C]0.057[/C][/ROW]
[ROW][C]wrtiting_number_hyperlinks[/C][C]0.745[/C][C]0.692[/C][C]0.605[/C][C]0.783[/C][C]0.806[/C][C]1[/C][C]0.478[/C][C]0.051[/C][/ROW]
[ROW][C]number_compendium_views[/C][C]0.609[/C][C]0.604[/C][C]0.516[/C][C]0.574[/C][C]0.447[/C][C]0.478[/C][C]1[/C][C]0.188[/C][/ROW]
[ROW][C]number_compediums_shared[/C][C]0.087[/C][C]0.086[/C][C]0.152[/C][C]0.074[/C][C]0.057[/C][C]0.051[/C][C]0.188[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158710&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158710&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_spent_seconds	number_logins	number_reviewed_compendium	total_blogged_computation	writing_number_revisions	wrtiting_number_hyperlinks	number_compendium_views	number_compediums_shared
time_spent_seconds	1	0.768	0.677	0.788	0.743	0.745	0.609	0.087
number_logins	0.768	1	0.557	0.644	0.628	0.692	0.604	0.086
number_reviewed_compendium	0.677	0.557	1	0.675	0.687	0.605	0.516	0.152
total_blogged_computation	0.788	0.644	0.675	1	0.768	0.783	0.574	0.074
writing_number_revisions	0.743	0.628	0.687	0.768	1	0.806	0.447	0.057
wrtiting_number_hyperlinks	0.745	0.692	0.605	0.783	0.806	1	0.478	0.051
number_compendium_views	0.609	0.604	0.516	0.574	0.447	0.478	1	0.188
number_compediums_shared	0.087	0.086	0.152	0.074	0.057	0.051	0.188	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
time_spent_seconds;number_logins	0.7682	0.7272	0.5594
p-value	(0)	(0)	(0)
time_spent_seconds;number_reviewed_compendium	0.6774	0.5897	0.4377
p-value	(0)	(0)	(0)
time_spent_seconds;total_blogged_computation	0.7877	0.7703	0.591
p-value	(0)	(0)	(0)
time_spent_seconds;writing_number_revisions	0.743	0.7159	0.543
p-value	(0)	(0)	(0)
time_spent_seconds;wrtiting_number_hyperlinks	0.7453	0.6868	0.5188
p-value	(0)	(0)	(0)
time_spent_seconds;number_compendium_views	0.6091	0.6508	0.4828
p-value	(0)	(0)	(0)
time_spent_seconds;number_compediums_shared	0.0867	0.1113	0.085
p-value	(0.3013)	(0.1842)	(0.1826)
number_logins;number_reviewed_compendium	0.5574	0.4965	0.3657
p-value	(0)	(0)	(0)
number_logins;total_blogged_computation	0.6443	0.6685	0.5036
p-value	(0)	(0)	(0)
number_logins;writing_number_revisions	0.6282	0.5831	0.4297
p-value	(0)	(0)	(0)
number_logins;wrtiting_number_hyperlinks	0.6918	0.6373	0.4723
p-value	(0)	(0)	(0)
number_logins;number_compendium_views	0.6037	0.6458	0.4802
p-value	(0)	(0)	(0)
number_logins;number_compediums_shared	0.0863	0.1579	0.1211
p-value	(0.3038)	(0.0587)	(0.0586)
number_reviewed_compendium;total_blogged_computation	0.6747	0.5981	0.4463
p-value	(0)	(0)	(0)
number_reviewed_compendium;writing_number_revisions	0.6867	0.6613	0.5047
p-value	(0)	(0)	(0)
number_reviewed_compendium;wrtiting_number_hyperlinks	0.6047	0.5582	0.4157
p-value	(0)	(0)	(0)
number_reviewed_compendium;number_compendium_views	0.5163	0.5088	0.3771
p-value	(0)	(0)	(0)
number_reviewed_compendium;number_compediums_shared	0.1525	0.0535	0.0409
p-value	(0.0681)	(0.5238)	(0.5292)
total_blogged_computation;writing_number_revisions	0.7681	0.7615	0.5834
p-value	(0)	(0)	(0)
total_blogged_computation;wrtiting_number_hyperlinks	0.7829	0.7241	0.5607
p-value	(0)	(0)	(0)
total_blogged_computation;number_compendium_views	0.5738	0.6243	0.4596
p-value	(0)	(0)	(0)
total_blogged_computation;number_compediums_shared	0.0735	0.1022	0.075
p-value	(0.3811)	(0.223)	(0.2425)
writing_number_revisions;wrtiting_number_hyperlinks	0.806	0.7828	0.613
p-value	(0)	(0)	(0)
writing_number_revisions;number_compendium_views	0.4474	0.5447	0.3976
p-value	(0)	(0)	(0)
writing_number_revisions;number_compediums_shared	0.057	0.0667	0.0538
p-value	(0.4977)	(0.4267)	(0.3999)
wrtiting_number_hyperlinks;number_compendium_views	0.4778	0.5579	0.4057
p-value	(0)	(0)	(0)
wrtiting_number_hyperlinks;number_compediums_shared	0.0513	0.1415	0.1049
p-value	(0.5417)	(0.0907)	(0.1025)
number_compendium_views;number_compediums_shared	0.1879	0.1705	0.1321
p-value	(0.0241)	(0.041)	(0.0393)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
time_spent_seconds;number_logins & 0.7682 & 0.7272 & 0.5594 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_reviewed_compendium & 0.6774 & 0.5897 & 0.4377 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;total_blogged_computation & 0.7877 & 0.7703 & 0.591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;writing_number_revisions & 0.743 & 0.7159 & 0.543 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;wrtiting_number_hyperlinks & 0.7453 & 0.6868 & 0.5188 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_compendium_views & 0.6091 & 0.6508 & 0.4828 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_seconds;number_compediums_shared & 0.0867 & 0.1113 & 0.085 \tabularnewline
p-value & (0.3013) & (0.1842) & (0.1826) \tabularnewline
number_logins;number_reviewed_compendium & 0.5574 & 0.4965 & 0.3657 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;total_blogged_computation & 0.6443 & 0.6685 & 0.5036 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;writing_number_revisions & 0.6282 & 0.5831 & 0.4297 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;wrtiting_number_hyperlinks & 0.6918 & 0.6373 & 0.4723 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;number_compendium_views & 0.6037 & 0.6458 & 0.4802 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_logins;number_compediums_shared & 0.0863 & 0.1579 & 0.1211 \tabularnewline
p-value & (0.3038) & (0.0587) & (0.0586) \tabularnewline
number_reviewed_compendium;total_blogged_computation & 0.6747 & 0.5981 & 0.4463 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_reviewed_compendium;writing_number_revisions & 0.6867 & 0.6613 & 0.5047 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_reviewed_compendium;wrtiting_number_hyperlinks & 0.6047 & 0.5582 & 0.4157 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_reviewed_compendium;number_compendium_views & 0.5163 & 0.5088 & 0.3771 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
number_reviewed_compendium;number_compediums_shared & 0.1525 & 0.0535 & 0.0409 \tabularnewline
p-value & (0.0681) & (0.5238) & (0.5292) \tabularnewline
total_blogged_computation;writing_number_revisions & 0.7681 & 0.7615 & 0.5834 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
total_blogged_computation;wrtiting_number_hyperlinks & 0.7829 & 0.7241 & 0.5607 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
total_blogged_computation;number_compendium_views & 0.5738 & 0.6243 & 0.4596 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
total_blogged_computation;number_compediums_shared & 0.0735 & 0.1022 & 0.075 \tabularnewline
p-value & (0.3811) & (0.223) & (0.2425) \tabularnewline
writing_number_revisions;wrtiting_number_hyperlinks & 0.806 & 0.7828 & 0.613 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
writing_number_revisions;number_compendium_views & 0.4474 & 0.5447 & 0.3976 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
writing_number_revisions;number_compediums_shared & 0.057 & 0.0667 & 0.0538 \tabularnewline
p-value & (0.4977) & (0.4267) & (0.3999) \tabularnewline
wrtiting_number_hyperlinks;number_compendium_views & 0.4778 & 0.5579 & 0.4057 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
wrtiting_number_hyperlinks;number_compediums_shared & 0.0513 & 0.1415 & 0.1049 \tabularnewline
p-value & (0.5417) & (0.0907) & (0.1025) \tabularnewline
number_compendium_views;number_compediums_shared & 0.1879 & 0.1705 & 0.1321 \tabularnewline
p-value & (0.0241) & (0.041) & (0.0393) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158710&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_spent_seconds;number_logins[/C][C]0.7682[/C][C]0.7272[/C][C]0.5594[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_reviewed_compendium[/C][C]0.6774[/C][C]0.5897[/C][C]0.4377[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;total_blogged_computation[/C][C]0.7877[/C][C]0.7703[/C][C]0.591[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;writing_number_revisions[/C][C]0.743[/C][C]0.7159[/C][C]0.543[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;wrtiting_number_hyperlinks[/C][C]0.7453[/C][C]0.6868[/C][C]0.5188[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_compendium_views[/C][C]0.6091[/C][C]0.6508[/C][C]0.4828[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_seconds;number_compediums_shared[/C][C]0.0867[/C][C]0.1113[/C][C]0.085[/C][/ROW]
[ROW][C]p-value[/C][C](0.3013)[/C][C](0.1842)[/C][C](0.1826)[/C][/ROW]
[ROW][C]number_logins;number_reviewed_compendium[/C][C]0.5574[/C][C]0.4965[/C][C]0.3657[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;total_blogged_computation[/C][C]0.6443[/C][C]0.6685[/C][C]0.5036[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;writing_number_revisions[/C][C]0.6282[/C][C]0.5831[/C][C]0.4297[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;wrtiting_number_hyperlinks[/C][C]0.6918[/C][C]0.6373[/C][C]0.4723[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;number_compendium_views[/C][C]0.6037[/C][C]0.6458[/C][C]0.4802[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_logins;number_compediums_shared[/C][C]0.0863[/C][C]0.1579[/C][C]0.1211[/C][/ROW]
[ROW][C]p-value[/C][C](0.3038)[/C][C](0.0587)[/C][C](0.0586)[/C][/ROW]
[ROW][C]number_reviewed_compendium;total_blogged_computation[/C][C]0.6747[/C][C]0.5981[/C][C]0.4463[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_reviewed_compendium;writing_number_revisions[/C][C]0.6867[/C][C]0.6613[/C][C]0.5047[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_reviewed_compendium;wrtiting_number_hyperlinks[/C][C]0.6047[/C][C]0.5582[/C][C]0.4157[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_reviewed_compendium;number_compendium_views[/C][C]0.5163[/C][C]0.5088[/C][C]0.3771[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]number_reviewed_compendium;number_compediums_shared[/C][C]0.1525[/C][C]0.0535[/C][C]0.0409[/C][/ROW]
[ROW][C]p-value[/C][C](0.0681)[/C][C](0.5238)[/C][C](0.5292)[/C][/ROW]
[ROW][C]total_blogged_computation;writing_number_revisions[/C][C]0.7681[/C][C]0.7615[/C][C]0.5834[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]total_blogged_computation;wrtiting_number_hyperlinks[/C][C]0.7829[/C][C]0.7241[/C][C]0.5607[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]total_blogged_computation;number_compendium_views[/C][C]0.5738[/C][C]0.6243[/C][C]0.4596[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]total_blogged_computation;number_compediums_shared[/C][C]0.0735[/C][C]0.1022[/C][C]0.075[/C][/ROW]
[ROW][C]p-value[/C][C](0.3811)[/C][C](0.223)[/C][C](0.2425)[/C][/ROW]
[ROW][C]writing_number_revisions;wrtiting_number_hyperlinks[/C][C]0.806[/C][C]0.7828[/C][C]0.613[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]writing_number_revisions;number_compendium_views[/C][C]0.4474[/C][C]0.5447[/C][C]0.3976[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]writing_number_revisions;number_compediums_shared[/C][C]0.057[/C][C]0.0667[/C][C]0.0538[/C][/ROW]
[ROW][C]p-value[/C][C](0.4977)[/C][C](0.4267)[/C][C](0.3999)[/C][/ROW]
[ROW][C]wrtiting_number_hyperlinks;number_compendium_views[/C][C]0.4778[/C][C]0.5579[/C][C]0.4057[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]wrtiting_number_hyperlinks;number_compediums_shared[/C][C]0.0513[/C][C]0.1415[/C][C]0.1049[/C][/ROW]
[ROW][C]p-value[/C][C](0.5417)[/C][C](0.0907)[/C][C](0.1025)[/C][/ROW]
[ROW][C]number_compendium_views;number_compediums_shared[/C][C]0.1879[/C][C]0.1705[/C][C]0.1321[/C][/ROW]
[ROW][C]p-value[/C][C](0.0241)[/C][C](0.041)[/C][C](0.0393)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158710&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158710&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
time_spent_seconds;number_logins	0.7682	0.7272	0.5594
p-value	(0)	(0)	(0)
time_spent_seconds;number_reviewed_compendium	0.6774	0.5897	0.4377
p-value	(0)	(0)	(0)
time_spent_seconds;total_blogged_computation	0.7877	0.7703	0.591
p-value	(0)	(0)	(0)
time_spent_seconds;writing_number_revisions	0.743	0.7159	0.543
p-value	(0)	(0)	(0)
time_spent_seconds;wrtiting_number_hyperlinks	0.7453	0.6868	0.5188
p-value	(0)	(0)	(0)
time_spent_seconds;number_compendium_views	0.6091	0.6508	0.4828
p-value	(0)	(0)	(0)
time_spent_seconds;number_compediums_shared	0.0867	0.1113	0.085
p-value	(0.3013)	(0.1842)	(0.1826)
number_logins;number_reviewed_compendium	0.5574	0.4965	0.3657
p-value	(0)	(0)	(0)
number_logins;total_blogged_computation	0.6443	0.6685	0.5036
p-value	(0)	(0)	(0)
number_logins;writing_number_revisions	0.6282	0.5831	0.4297
p-value	(0)	(0)	(0)
number_logins;wrtiting_number_hyperlinks	0.6918	0.6373	0.4723
p-value	(0)	(0)	(0)
number_logins;number_compendium_views	0.6037	0.6458	0.4802
p-value	(0)	(0)	(0)
number_logins;number_compediums_shared	0.0863	0.1579	0.1211
p-value	(0.3038)	(0.0587)	(0.0586)
number_reviewed_compendium;total_blogged_computation	0.6747	0.5981	0.4463
p-value	(0)	(0)	(0)
number_reviewed_compendium;writing_number_revisions	0.6867	0.6613	0.5047
p-value	(0)	(0)	(0)
number_reviewed_compendium;wrtiting_number_hyperlinks	0.6047	0.5582	0.4157
p-value	(0)	(0)	(0)
number_reviewed_compendium;number_compendium_views	0.5163	0.5088	0.3771
p-value	(0)	(0)	(0)
number_reviewed_compendium;number_compediums_shared	0.1525	0.0535	0.0409
p-value	(0.0681)	(0.5238)	(0.5292)
total_blogged_computation;writing_number_revisions	0.7681	0.7615	0.5834
p-value	(0)	(0)	(0)
total_blogged_computation;wrtiting_number_hyperlinks	0.7829	0.7241	0.5607
p-value	(0)	(0)	(0)
total_blogged_computation;number_compendium_views	0.5738	0.6243	0.4596
p-value	(0)	(0)	(0)
total_blogged_computation;number_compediums_shared	0.0735	0.1022	0.075
p-value	(0.3811)	(0.223)	(0.2425)
writing_number_revisions;wrtiting_number_hyperlinks	0.806	0.7828	0.613
p-value	(0)	(0)	(0)
writing_number_revisions;number_compendium_views	0.4474	0.5447	0.3976
p-value	(0)	(0)	(0)
writing_number_revisions;number_compediums_shared	0.057	0.0667	0.0538
p-value	(0.4977)	(0.4267)	(0.3999)
wrtiting_number_hyperlinks;number_compendium_views	0.4778	0.5579	0.4057
p-value	(0)	(0)	(0)
wrtiting_number_hyperlinks;number_compediums_shared	0.0513	0.1415	0.1049
p-value	(0.5417)	(0.0907)	(0.1025)
number_compendium_views;number_compediums_shared	0.1879	0.1705	0.1321
p-value	(0.0241)	(0.041)	(0.0393)

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