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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 computationMon, 19 Dec 2011 08:17:31 -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/19/t132430066790qdwyrrmt7jnn7.htm/, Retrieved Wed, 15 May 2024 19:59:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157349, Retrieved Wed, 15 May 2024 19:59:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
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] [] [2011-12-19 13:17:31] [38f0c551da22b29428835e369961555f] [Current]
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Dataseries X:
210907	56	396	79	30	115	3
120982	56	297	58	28	109	4
176508	54	559	60	38	146	12
179321	89	967	108	30	116	2
123185	40	270	49	22	68	1
52746	25	143	0	26	101	3
385534	92	1562	121	25	96	0
33170	18	109	1	18	67	0
101645	63	371	20	11	44	0
149061	44	656	43	26	100	5
165446	33	511	69	25	93	0
237213	84	655	78	38	140	0
173326	88	465	86	44	166	7
133131	55	525	44	30	99	7
258873	60	885	104	40	139	3
180083	66	497	63	34	130	9
324799	154	1436	158	47	181	0
230964	53	612	102	30	116	4
236785	119	865	77	31	116	3
135473	41	385	82	23	88	0
202925	61	567	115	36	139	7
215147	58	639	101	36	135	0
344297	75	963	80	30	108	1
153935	33	398	50	25	89	5
132943	40	410	83	39	156	7
174724	92	966	123	34	129	0
174415	100	801	73	31	118	0
225548	112	892	81	31	118	5
223632	73	513	105	33	125	0
124817	40	469	47	25	95	0
221698	45	683	105	33	126	0
210767	60	643	94	35	135	3
170266	62	535	44	42	154	4
260561	75	625	114	43	165	1
84853	31	264	38	30	113	4
294424	77	992	107	33	127	2
101011	34	238	30	13	52	0
215641	46	818	71	32	121	0
325107	99	937	84	36	136	0
7176	17	70	0	0	0	0
167542	66	507	59	28	108	2
106408	30	260	33	14	46	1
96560	76	503	42	17	54	0
265769	146	927	96	32	124	2
269651	67	1269	106	30	115	10
149112	56	537	56	35	128	6
175824	107	910	57	20	80	0
152871	58	532	59	28	97	5
111665	34	345	39	28	104	4
116408	61	918	34	39	59	1
362301	119	1635	76	34	125	2
78800	42	330	20	26	82	2
183167	66	557	91	39	149	0
277965	89	1178	115	39	149	8
150629	44	740	85	33	122	3
168809	66	452	76	28	118	0
24188	24	218	8	4	12	0
329267	259	764	79	39	144	8
65029	17	255	21	18	67	5
101097	64	454	30	14	52	3
218946	41	866	76	29	108	1
244052	68	574	101	44	166	5
341570	168	1276	94	21	80	1
103597	43	379	27	16	60	1
233328	132	825	92	28	107	5
256462	105	798	123	35	127	0
206161	71	663	75	28	107	12
311473	112	1069	128	38	146	8
235800	94	921	105	23	84	8
177939	82	858	55	36	141	8
207176	70	711	56	32	123	8
196553	57	503	41	29	111	2
174184	53	382	72	25	98	0
143246	103	464	67	27	105	5
187559	121	717	75	36	135	8
187681	62	690	114	28	107	2
119016	52	462	118	23	85	5
182192	52	657	77	40	155	12
73566	32	385	22	23	88	6
194979	62	577	66	40	155	7
167488	45	619	69	28	104	2
143756	46	479	105	34	132	0
275541	63	817	116	33	127	4
243199	75	752	88	28	108	3
182999	88	430	73	34	129	6
135649	46	451	99	30	116	2
152299	53	537	62	33	122	0
120221	37	519	53	22	85	1
346485	90	1000	118	38	147	0
145790	63	637	30	26	99	5
193339	78	465	100	35	87	2
80953	25	437	49	8	28	0
122774	45	711	24	24	90	0
130585	46	299	67	29	109	5
112611	41	248	46	20	78	0
286468	144	1162	57	29	111	1
241066	82	714	75	45	158	0
148446	91	905	135	37	141	1
204713	71	649	68	33	122	1
182079	63	512	124	33	124	2
140344	53	472	33	25	93	6
220516	62	905	98	32	124	1
243060	63	786	58	29	112	4
162765	32	489	68	28	108	2
182613	39	479	81	28	99	3
232138	62	617	131	31	117	0
265318	117	925	110	52	199	10
85574	34	351	37	21	78	0
310839	92	1144	130	24	91	9
225060	93	669	93	41	158	7
232317	54	707	118	33	126	0
144966	144	458	39	32	122	0
43287	14	214	13	19	71	4
155754	61	599	74	20	75	4
164709	109	572	81	31	115	0
201940	38	897	109	31	119	0
235454	73	819	151	32	124	0
220801	75	720	51	18	72	1
99466	50	273	28	23	91	0
92661	61	508	40	17	45	1
133328	55	506	56	20	78	0
61361	77	451	27	12	39	0
125930	75	699	37	17	68	4
100750	72	407	83	30	119	0
224549	50	465	54	31	117	4
82316	32	245	27	10	39	4
102010	53	370	28	13	50	3
101523	42	316	59	22	88	0
243511	71	603	133	42	155	0
22938	10	154	12	1	0	0
41566	35	229	0	9	36	5
152474	65	577	106	32	123	0
61857	25	192	23	11	32	4
99923	66	617	44	25	99	0
132487	41	411	71	36	136	0
317394	86	975	116	31	117	1
21054	16	146	4	0	0	0
209641	42	705	62	24	88	5
22648	19	184	12	13	39	0
31414	19	200	18	8	25	0
46698	45	274	14	13	52	0
131698	65	502	60	19	75	0
91735	35	382	7	18	71	0
244749	95	964	98	33	124	2
184510	49	537	64	40	151	7
79863	37	438	29	22	71	1
128423	64	369	32	38	145	8
97839	38	417	25	24	87	2
38214	34	276	16	8	27	0
151101	32	514	48	35	131	2
272458	65	822	100	43	162	0
172494	52	389	46	43	165	0
108043	62	466	45	14	54	1
328107	65	1255	129	41	159	3
250579	83	694	130	38	147	0
351067	95	1024	136	45	170	3
158015	29	400	59	31	119	0
98866	18	397	25	13	49	0
85439	33	350	32	28	104	0
229242	247	719	63	31	120	4
351619	139	1277	95	40	150	4
84207	29	356	14	30	112	11
120445	118	457	36	16	59	0
324598	110	1402	113	37	136	0
131069	67	600	47	30	107	4
204271	42	480	92	35	130	0
165543	65	595	70	32	115	1
141722	94	436	19	27	107	0
116048	64	230	50	20	75	0
250047	81	651	41	18	71	0
299775	95	1367	91	31	120	9
195838	67	564	111	31	116	1
173260	63	716	41	21	79	3
254488	83	747	120	39	150	10
104389	45	467	135	41	156	5
136084	30	671	27	13	51	0
199476	70	861	87	32	118	2
92499	32	319	25	18	71	0
224330	83	612	131	39	144	1
135781	31	433	45	14	47	2
74408	67	434	29	7	28	4
81240	66	503	58	17	68	0
14688	10	85	4	0	0	0
181633	70	564	47	30	110	2
271856	103	824	109	37	147	1
7199	5	74	7	0	0	0
46660	20	259	12	5	15	0
17547	5	69	0	1	4	0
133368	36	535	37	16	64	1
95227	34	239	37	32	111	0
152601	48	438	46	24	85	2
98146	40	459	15	17	68	0
79619	43	426	42	11	40	3
59194	31	288	7	24	80	6
139942	42	498	54	22	88	0
118612	46	454	54	12	48	2
72880	33	376	14	19	76	0
65475	18	225	16	13	51	2
99643	55	555	33	17	67	1
71965	35	252	32	15	59	1
77272	59	208	21	16	61	2
49289	19	130	15	24	76	1
135131	66	481	38	15	60	0
108446	60	389	22	17	68	1
89746	36	565	28	18	71	3
44296	25	173	10	20	76	0
77648	47	278	31	16	62	0
181528	54	609	32	16	61	0
134019	53	422	32	18	67	0
124064	40	445	43	22	88	1
92630	40	387	27	8	30	4
121848	39	339	37	17	64	0
52915	14	181	20	18	68	0
81872	45	245	32	16	64	0
58981	36	384	0	23	91	7
53515	28	212	5	22	88	2
60812	44	399	26	13	52	0
56375	30	229	10	13	49	7
65490	22	224	27	16	62	3
80949	17	203	11	16	61	0
76302	31	333	29	20	76	0
104011	55	384	25	22	88	6
98104	54	636	55	17	66	2
67989	21	185	23	18	71	0
30989	14	93	5	17	68	0
135458	81	581	43	12	48	3
73504	35	248	23	7	25	0
63123	43	304	34	17	68	1
61254	46	344	36	14	41	1
74914	30	407	35	23	90	0
31774	23	170	0	17	66	1
81437	38	312	37	14	54	0
87186	54	507	28	15	59	0
50090	20	224	16	17	60	0
65745	53	340	26	21	77	0
56653	45	168	38	18	68	0
158399	39	443	23	18	72	0
46455	20	204	22	17	67	0
73624	24	367	30	17	64	0
38395	31	210	16	16	63	0
91899	35	335	18	15	59	0
139526	151	364	28	21	84	0
52164	52	178	32	16	64	0
51567	30	206	21	14	56	2
70551	31	279	23	15	54	0
84856	29	387	29	17	67	1
102538	57	490	50	15	58	1
86678	40	238	12	15	59	0
85709	44	343	21	10	40	0
34662	25	232	18	6	22	0
150580	77	530	27	22	83	0
99611	35	291	41	21	81	0
19349	11	67	13	1	2	0
99373	63	397	12	18	72	1
86230	44	467	21	17	61	0
30837	19	178	8	4	15	0
31706	13	175	26	10	32	0
89806	42	299	27	16	62	0
62088	38	154	13	16	58	1
40151	29	106	16	9	36	0
27634	20	189	2	16	59	0
76990	27	194	42	17	68	0
37460	20	135	5	7	21	0
54157	19	201	37	15	55	0
49862	37	207	17	14	54	0
84337	26	280	38	14	55	0
64175	42	260	37	18	72	0
59382	49	227	29	12	41	0
119308	30	239	32	16	61	0
76702	49	333	35	21	67	0
103425	67	428	17	19	76	1
70344	28	230	20	16	64	0
43410	19	292	7	1	3	0
104838	49	350	46	16	63	1
62215	27	186	24	10	40	0
69304	30	326	40	19	69	6
53117	22	155	3	12	48	3
19764	12	75	10	2	8	1
86680	31	361	37	14	52	2
84105	20	261	17	17	66	0
77945	20	299	28	19	76	0
89113	39	300	19	14	43	0
91005	29	450	29	11	39	3
40248	16	183	8	4	14	1
64187	27	238	10	16	61	0
50857	21	165	15	20	71	0
56613	19	234	15	12	44	1
62792	35	176	28	15	60	0
72535	14	329	17	16	64	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157349&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]3 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=157349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157349&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Correlations for all pairs of data series (method=kendall)
time_in_rfcloginscompendium_views_infoblogged_computationscompendiums_reviewedfeedback_messages_p1shared_compendiums
time_in_rfc10.6090.7260.6830.590.5920.245
logins0.60910.6140.5230.4530.4490.208
compendium_views_info0.7260.61410.6040.5020.4940.248
blogged_computations0.6830.5230.60410.5740.5730.207
compendiums_reviewed0.590.4530.5020.57410.9390.262
feedback_messages_p10.5920.4490.4940.5730.93910.254
shared_compendiums0.2450.2080.2480.2070.2620.2541

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & time_in_rfc & logins & compendium_views_info & blogged_computations & compendiums_reviewed & feedback_messages_p1 & shared_compendiums \tabularnewline
time_in_rfc & 1 & 0.609 & 0.726 & 0.683 & 0.59 & 0.592 & 0.245 \tabularnewline
logins & 0.609 & 1 & 0.614 & 0.523 & 0.453 & 0.449 & 0.208 \tabularnewline
compendium_views_info & 0.726 & 0.614 & 1 & 0.604 & 0.502 & 0.494 & 0.248 \tabularnewline
blogged_computations & 0.683 & 0.523 & 0.604 & 1 & 0.574 & 0.573 & 0.207 \tabularnewline
compendiums_reviewed & 0.59 & 0.453 & 0.502 & 0.574 & 1 & 0.939 & 0.262 \tabularnewline
feedback_messages_p1 & 0.592 & 0.449 & 0.494 & 0.573 & 0.939 & 1 & 0.254 \tabularnewline
shared_compendiums & 0.245 & 0.208 & 0.248 & 0.207 & 0.262 & 0.254 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157349&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]time_in_rfc[/C][C]logins[/C][C]compendium_views_info[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][C]shared_compendiums[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.609[/C][C]0.726[/C][C]0.683[/C][C]0.59[/C][C]0.592[/C][C]0.245[/C][/ROW]
[ROW][C]logins[/C][C]0.609[/C][C]1[/C][C]0.614[/C][C]0.523[/C][C]0.453[/C][C]0.449[/C][C]0.208[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.726[/C][C]0.614[/C][C]1[/C][C]0.604[/C][C]0.502[/C][C]0.494[/C][C]0.248[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.683[/C][C]0.523[/C][C]0.604[/C][C]1[/C][C]0.574[/C][C]0.573[/C][C]0.207[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.59[/C][C]0.453[/C][C]0.502[/C][C]0.574[/C][C]1[/C][C]0.939[/C][C]0.262[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.592[/C][C]0.449[/C][C]0.494[/C][C]0.573[/C][C]0.939[/C][C]1[/C][C]0.254[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.245[/C][C]0.208[/C][C]0.248[/C][C]0.207[/C][C]0.262[/C][C]0.254[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157349&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_rfcloginscompendium_views_infoblogged_computationscompendiums_reviewedfeedback_messages_p1shared_compendiums
time_in_rfc10.6090.7260.6830.590.5920.245
logins0.60910.6140.5230.4530.4490.208
compendium_views_info0.7260.61410.6040.5020.4940.248
blogged_computations0.6830.5230.60410.5740.5730.207
compendiums_reviewed0.590.4530.5020.57410.9390.262
feedback_messages_p10.5920.4490.4940.5730.93910.254
shared_compendiums0.2450.2080.2480.2070.2620.2541







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p10.76350.79660.5916
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendiums_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;feedback_messages_p10.55260.62880.4486
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.63770.69870.5025
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p10.63250.6930.4942
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.28210.33550.2476
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;feedback_messages_p10.76760.77670.573
p-value(0)(0)(0)
blogged_computations;shared_compendiums0.2380.27590.2074
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p10.9840.98110.9389
p-value(0)(0)(0)
compendiums_reviewed;shared_compendiums0.38950.35110.2616
p-value(0)(0)(0)
feedback_messages_p1;shared_compendiums0.3930.34140.2537
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;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8925 & 0.8995 & 0.726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;blogged_computations & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p1 & 0.7635 & 0.7966 & 0.5916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;shared_compendiums & 0.2941 & 0.3296 & 0.2453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;feedback_messages_p1 & 0.5526 & 0.6288 & 0.4486 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;blogged_computations & 0.7489 & 0.8051 & 0.6045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendiums_reviewed & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;feedback_messages_p1 & 0.6325 & 0.693 & 0.4942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.2821 & 0.3355 & 0.2476 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendiums_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p1 & 0.7676 & 0.7767 & 0.573 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;shared_compendiums & 0.238 & 0.2759 & 0.2074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p1 & 0.984 & 0.9811 & 0.9389 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;shared_compendiums & 0.3895 & 0.3511 & 0.2616 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;shared_compendiums & 0.393 & 0.3414 & 0.2537 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157349&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;logins[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_info[/C][C]0.8925[/C][C]0.8995[/C][C]0.726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_computations[/C][C]0.8309[/C][C]0.8717[/C][C]0.683[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendiums_reviewed[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;feedback_messages_p1[/C][C]0.7635[/C][C]0.7966[/C][C]0.5916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;shared_compendiums[/C][C]0.2941[/C][C]0.3296[/C][C]0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/C][C]0.6919[/C][C]0.8018[/C][C]0.6142[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.5661[/C][C]0.7178[/C][C]0.523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;feedback_messages_p1[/C][C]0.5526[/C][C]0.6288[/C][C]0.4486[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]0.2505[/C][C]0.2795[/C][C]0.2078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.7489[/C][C]0.8051[/C][C]0.6045[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendiums_reviewed[/C][C]0.6377[/C][C]0.6987[/C][C]0.5025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p1[/C][C]0.6325[/C][C]0.693[/C][C]0.4942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;shared_compendiums[/C][C]0.2821[/C][C]0.3355[/C][C]0.2476[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendiums_reviewed[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p1[/C][C]0.7676[/C][C]0.7767[/C][C]0.573[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;shared_compendiums[/C][C]0.238[/C][C]0.2759[/C][C]0.2074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;feedback_messages_p1[/C][C]0.984[/C][C]0.9811[/C][C]0.9389[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;shared_compendiums[/C][C]0.3895[/C][C]0.3511[/C][C]0.2616[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;shared_compendiums[/C][C]0.393[/C][C]0.3414[/C][C]0.2537[/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=157349&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157349&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;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p10.76350.79660.5916
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendiums_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;feedback_messages_p10.55260.62880.4486
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.63770.69870.5025
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p10.63250.6930.4942
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.28210.33550.2476
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;feedback_messages_p10.76760.77670.573
p-value(0)(0)(0)
blogged_computations;shared_compendiums0.2380.27590.2074
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p10.9840.98110.9389
p-value(0)(0)(0)
compendiums_reviewed;shared_compendiums0.38950.35110.2616
p-value(0)(0)(0)
feedback_messages_p1;shared_compendiums0.3930.34140.2537
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')