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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 21 Dec 2011 06:27:12 -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/21/t1324466878jf9ukpkktfuqg1m.htm/, Retrieved Tue, 07 May 2024 07:20:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158515, Retrieved Tue, 07 May 2024 07:20:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Kendall tau Correlation Matrix] [ws10.1] [2011-12-14 12:44:38] [8ae0a4da1b3ee81f40dbba5e42914d07]
-    D    [Kendall tau Correlation Matrix] [ws10.3] [2011-12-14 14:10:41] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMP       [Recursive Partitioning (Regression Trees)] [ws10.6] [2011-12-14 15:11:12] [8ae0a4da1b3ee81f40dbba5e42914d07]
-   PD        [Recursive Partitioning (Regression Trees)] [ws10.9] [2011-12-21 10:12:51] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMPD            [Kendall tau Correlation Matrix] [ws10.14] [2011-12-21 11:27:12] [d6b8e0ceefc1e2de0b53f6dffb5d636c] [Current]
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Dataseries X:
210907	79	81	94	56	3	1418	112285
120982	58	55	103	56	4	869	84786
176508	60	50	93	54	12	1530	83123
179321	108	125	103	89	2	2172	101193
123185	49	40	51	40	1	901	38361
52746	0	37	70	25	3	463	68504
385534	121	63	91	92	0	3201	119182
33170	1	44	22	18	0	371	22807
101645	20	88	38	63	0	1192	17140
149061	43	66	93	44	5	1583	116174
165446	69	57	60	33	0	1439	57635
237213	78	74	123	84	0	1764	66198
173326	86	49	148	88	7	1495	71701
133131	44	52	90	55	7	1373	57793
258873	104	88	124	60	3	2187	80444
180083	63	36	70	66	9	1491	53855
324799	158	108	168	154	0	4041	97668
230964	102	43	115	53	4	1706	133824
236785	77	75	71	119	3	2152	101481
135473	82	32	66	41	0	1036	99645
202925	115	44	134	61	7	1882	114789
215147	101	85	117	58	0	1929	99052
344297	80	86	108	75	1	2242	67654
153935	50	56	84	33	5	1220	65553
132943	83	50	156	40	7	1289	97500
174724	123	135	120	92	0	2515	69112
174415	73	63	114	100	0	2147	82753
225548	81	81	94	112	5	2352	85323
223632	105	52	120	73	0	1638	72654
124817	47	44	81	40	0	1222	30727
221698	105	113	110	45	0	1812	77873
210767	94	39	133	60	3	1677	117478
170266	44	73	122	62	4	1579	74007
260561	114	48	158	75	1	1731	90183
84853	38	33	109	31	4	807	61542
294424	107	59	124	77	2	2452	101494
101011	30	41	39	34	0	829	27570
215641	71	69	92	46	0	1940	55813
325107	84	64	126	99	0	2662	79215
7176	0	1	0	17	0	186	1423
167542	59	59	70	66	2	1499	55461
106408	33	32	37	30	1	865	31081
96560	42	129	38	76	0	1793	22996
265769	96	37	120	146	2	2527	83122
269651	106	31	93	67	10	2747	70106
149112	56	65	95	56	6	1324	60578
175824	57	107	77	107	0	2702	39992
152871	59	74	90	58	5	1383	79892
111665	39	54	80	34	4	1179	49810
116408	34	76	31	61	1	2099	71570
362301	76	715	110	119	2	4308	100708
78800	20	57	66	42	2	918	33032
183167	91	66	138	66	0	1831	82875
277965	115	106	133	89	8	3373	139077
150629	85	54	113	44	3	1713	71595
168809	76	32	100	66	0	1438	72260
24188	8	20	7	24	0	496	5950
329267	79	71	140	259	8	2253	115762
65029	21	21	61	17	5	744	32551
101097	30	70	41	64	3	1161	31701
218946	76	112	96	41	1	2352	80670
244052	101	66	164	68	5	2144	143558
341570	94	190	78	168	1	4691	117105
103597	27	66	49	43	1	1112	23789
233328	92	165	102	132	5	2694	120733
256462	123	56	124	105	0	1973	105195
206161	75	61	99	71	12	1769	73107
311473	128	53	129	112	8	3148	132068
235800	105	127	62	94	8	2474	149193
177939	55	63	73	82	8	2084	46821
207176	56	38	114	70	8	1954	87011
196553	41	50	99	57	2	1226	95260
174184	72	52	70	53	0	1389	55183
143246	67	42	104	103	5	1496	106671
187559	75	76	116	121	8	2269	73511
187681	114	67	91	62	2	1833	92945
119016	118	50	74	52	5	1268	78664
182192	77	53	138	52	12	1943	70054
73566	22	39	67	32	6	893	22618
194979	66	50	151	62	7	1762	74011
167488	69	77	72	45	2	1403	83737
143756	105	57	120	46	0	1425	69094
275541	116	73	115	63	4	1857	93133
243199	88	34	105	75	3	1840	95536
182999	73	39	104	88	6	1502	225920
135649	99	46	108	46	2	1441	62133
152299	62	63	98	53	0	1420	61370
120221	53	35	69	37	1	1416	43836
346485	118	106	111	90	0	2970	106117
145790	30	43	99	63	5	1317	38692
193339	100	47	71	78	2	1644	84651
80953	49	31	27	25	0	870	56622
122774	24	162	69	45	0	1654	15986
130585	67	57	107	46	5	1054	95364
112611	46	36	73	41	0	937	26706
286468	57	263	107	144	1	3004	89691
241066	75	78	93	82	0	2008	67267
148446	135	63	129	91	1	2547	126846
204713	68	54	69	71	1	1885	41140
182079	124	63	118	63	2	1626	102860
140344	33	77	73	53	6	1468	51715
220516	98	79	119	62	1	2445	55801
243060	58	110	104	63	4	1964	111813
162765	68	56	107	32	2	1381	120293
182613	81	56	99	39	3	1369	138599
232138	131	43	90	62	0	1659	161647
265318	110	111	197	117	10	2888	115929
85574	37	71	36	34	0	1290	24266
310839	130	62	85	92	9	2845	162901
225060	93	56	139	93	7	1982	109825
232317	118	74	106	54	0	1904	129838
144966	39	60	50	144	0	1391	37510
43287	13	43	64	14	4	602	43750
155754	74	68	31	61	4	1743	40652
164709	81	53	63	109	0	1559	87771
201940	109	87	92	38	0	2014	85872
235454	151	46	106	73	0	2143	89275
220801	51	105	63	75	1	2146	44418
99466	28	32	69	50	0	874	192565
92661	40	133	41	61	1	1590	35232
133328	56	79	56	55	0	1590	40909
61361	27	51	25	77	0	1210	13294
125930	37	207	65	75	4	2072	32387
100750	83	67	93	72	0	1281	140867
224549	54	47	114	50	4	1401	120662
82316	27	34	38	32	4	834	21233
102010	28	66	44	53	3	1105	44332
101523	59	76	87	42	0	1272	61056
243511	133	65	110	71	0	1944	101338
22938	12	9	0	10	0	391	1168
41566	0	42	27	35	5	761	13497
152474	106	45	83	65	0	1605	65567
61857	23	25	30	25	4	530	25162
99923	44	115	80	66	0	1988	32334
132487	71	97	98	41	0	1386	40735
317394	116	53	82	86	1	2395	91413
21054	4	2	0	16	0	387	855
209641	62	52	60	42	5	1742	97068
22648	12	44	28	19	0	620	44339
31414	18	22	9	19	0	449	14116
46698	14	35	33	45	0	800	10288
131698	60	74	59	65	0	1684	65622
91735	7	103	49	35	0	1050	16563
244749	98	144	115	95	2	2699	76643
184510	64	60	140	49	7	1606	110681
79863	29	134	49	37	1	1502	29011
128423	32	89	120	64	8	1204	92696
97839	25	42	66	38	2	1138	94785
38214	16	52	21	34	0	568	8773
151101	48	98	124	32	2	1459	83209
272458	100	99	152	65	0	2158	93815
172494	46	52	139	52	0	1111	86687
108043	45	29	38	62	1	1421	34553
328107	129	125	144	65	3	2833	105547
250579	130	106	120	83	0	1955	103487
351067	136	95	160	95	3	2922	213688
158015	59	40	114	29	0	1002	71220
98866	25	140	39	18	0	1060	23517
85439	32	43	78	33	0	956	56926
229242	63	128	119	247	4	2186	91721
351619	95	142	141	139	4	3604	115168
84207	14	73	101	29	11	1035	111194
120445	36	72	56	118	0	1417	51009
324598	113	128	133	110	0	3261	135777
131069	47	61	83	67	4	1587	51513
204271	92	73	116	42	0	1424	74163
165543	70	148	90	65	1	1701	51633
141722	19	64	36	94	0	1249	75345
116048	50	45	50	64	0	946	33416
250047	41	58	61	81	0	1926	83305
299775	91	97	97	95	9	3352	98952
195838	111	50	98	67	1	1641	102372
173260	41	37	78	63	3	2035	37238
254488	120	50	117	83	10	2312	103772
104389	135	105	148	45	5	1369	123969
136084	27	69	41	30	0	1577	27142
199476	87	46	105	70	2	2201	135400
92499	25	57	55	32	0	961	21399
224330	131	52	132	83	1	1900	130115
135781	45	98	44	31	2	1254	24874
74408	29	61	21	67	4	1335	34988
81240	58	89	50	66	0	1597	45549
14688	4	0	0	10	0	207	6023
181633	47	48	73	70	2	1645	64466
271856	109	91	86	103	1	2429	54990
7199	7	0	0	5	0	151	1644
46660	12	7	13	20	0	474	6179
17547	0	3	4	5	0	141	3926
133368	37	54	57	36	1	1639	32755
95227	37	70	48	34	0	872	34777
152601	46	36	46	48	2	1318	73224
98146	15	37	48	40	0	1018	27114
79619	42	123	32	43	3	1383	20760
59194	7	247	68	31	6	1314	37636
139942	54	46	87	42	0	1335	65461
118612	54	72	43	46	2	1403	30080
72880	14	41	67	33	0	910	24094
65475	16	24	46	18	2	616	69008
99643	33	45	46	55	1	1407	54968
71965	32	33	56	35	1	771	46090
77272	21	27	48	59	2	766	27507
49289	15	36	44	19	1	473	10672
135131	38	87	60	66	0	1376	34029
108446	22	90	65	60	1	1232	46300
89746	28	114	55	36	3	1521	24760
44296	10	31	38	25	0	572	18779
77648	31	45	52	47	0	1059	21280
181528	32	69	60	54	0	1544	40662
134019	32	51	54	53	0	1230	28987
124064	43	34	86	40	1	1206	22827
92630	27	60	24	40	4	1205	18513
121848	37	45	52	39	0	1255	30594
52915	20	54	49	14	0	613	24006
81872	32	25	61	45	0	721	27913
58981	0	38	61	36	7	1109	42744
53515	5	52	81	28	2	740	12934
60812	26	67	43	44	0	1126	22574
56375	10	74	40	30	7	728	41385
65490	27	38	40	22	3	689	18653
80949	11	30	56	17	0	592	18472
76302	29	26	68	31	0	995	30976
104011	25	67	79	55	6	1613	63339
98104	55	132	47	54	2	2048	25568
67989	23	42	57	21	0	705	33747
30989	5	35	41	14	0	301	4154
135458	43	118	29	81	3	1803	19474
73504	23	68	3	35	0	799	35130
63123	34	43	60	43	1	861	39067
61254	36	76	30	46	1	1186	13310
74914	35	64	79	30	0	1451	65892
31774	0	48	47	23	1	628	4143
81437	37	64	40	38	0	1161	28579
87186	28	56	48	54	0	1463	51776
50090	16	71	36	20	0	742	21152
65745	26	75	42	53	0	979	38084
56653	38	39	49	45	0	675	27717
158399	23	42	57	39	0	1241	32928
46455	22	39	12	20	0	676	11342
73624	30	93	40	24	0	1049	19499
38395	16	38	43	31	0	620	16380
91899	18	60	33	35	0	1081	36874
139526	28	71	77	151	0	1688	48259
52164	32	52	43	52	0	736	16734
51567	21	27	45	30	2	617	28207
70551	23	59	47	31	0	812	30143
84856	29	40	43	29	1	1051	41369
102538	50	79	45	57	1	1656	45833
86678	12	44	50	40	0	705	29156
85709	21	65	35	44	0	945	35944
34662	18	10	7	25	0	554	36278
150580	27	124	71	77	0	1597	45588
99611	41	81	67	35	0	982	45097
19349	13	15	0	11	0	222	3895
99373	12	92	62	63	1	1212	28394
86230	21	42	54	44	0	1143	18632
30837	8	10	4	19	0	435	2325
31706	26	24	25	13	0	532	25139
89806	27	64	40	42	0	882	27975
62088	13	45	38	38	1	608	14483
40151	16	22	19	29	0	459	13127
27634	2	56	17	20	0	578	5839
76990	42	94	67	27	0	826	24069
37460	5	19	14	20	0	509	3738
54157	37	35	30	19	0	717	18625
49862	17	32	54	37	0	637	36341
84337	38	35	35	26	0	857	24548
64175	37	48	59	42	0	830	21792
59382	29	49	24	49	0	652	26263
119308	32	48	58	30	0	707	23686
76702	35	62	42	49	0	954	49303
103425	17	96	46	67	1	1461	25659
70344	20	45	61	28	0	672	28904
43410	7	63	3	19	0	778	2781
104838	46	71	52	49	1	1141	29236
62215	24	26	25	27	0	680	19546
69304	40	48	40	30	6	1090	22818
53117	3	29	32	22	3	616	32689
19764	10	19	4	12	1	285	5752
86680	37	45	49	31	2	1145	22197
84105	17	45	63	20	0	733	20055
77945	28	67	67	20	0	888	25272
89113	19	30	32	39	0	849	82206
91005	29	36	23	29	3	1182	32073
40248	8	34	7	16	1	528	5444
64187	10	36	54	27	0	642	20154
50857	15	34	37	21	0	947	36944
56613	15	37	35	19	1	819	8019
62792	28	46	51	35	0	757	30884
72535	17	44	39	14	0	894	19540




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=158515&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=158515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158515&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'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=pearson)
time_in_rfcblogged_computationscompendium_views_prfeedback_messages_p120loginsshared_compendiumspageviewstotsize
time_in_rfc10.8310.390.7690.7160.2940.8930.746
blogged_computations0.83110.2290.7740.5660.2380.7610.76
compendium_views_pr0.390.22910.2610.3880.0640.5630.207
feedback_messages_p1200.7690.7740.26110.5460.4020.6710.755
logins0.7160.5660.3880.54610.250.7590.536
shared_compendiums0.2940.2380.0640.4020.2510.2970.386
pageviews0.8930.7610.5630.6710.7590.29710.644
totsize 0.7460.760.2070.7550.5360.3860.6441

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_in_rfc & blogged_computations & compendium_views_pr & feedback_messages_p120 & logins & shared_compendiums & pageviews & totsize


 \tabularnewline
time_in_rfc & 1 & 0.831 & 0.39 & 0.769 & 0.716 & 0.294 & 0.893 & 0.746 \tabularnewline
blogged_computations & 0.831 & 1 & 0.229 & 0.774 & 0.566 & 0.238 & 0.761 & 0.76 \tabularnewline
compendium_views_pr & 0.39 & 0.229 & 1 & 0.261 & 0.388 & 0.064 & 0.563 & 0.207 \tabularnewline
feedback_messages_p120 & 0.769 & 0.774 & 0.261 & 1 & 0.546 & 0.402 & 0.671 & 0.755 \tabularnewline
logins & 0.716 & 0.566 & 0.388 & 0.546 & 1 & 0.25 & 0.759 & 0.536 \tabularnewline
shared_compendiums & 0.294 & 0.238 & 0.064 & 0.402 & 0.25 & 1 & 0.297 & 0.386 \tabularnewline
pageviews & 0.893 & 0.761 & 0.563 & 0.671 & 0.759 & 0.297 & 1 & 0.644 \tabularnewline
totsize


 & 0.746 & 0.76 & 0.207 & 0.755 & 0.536 & 0.386 & 0.644 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158515&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]time_in_rfc[/C][C]blogged_computations[/C][C]compendium_views_pr[/C][C]feedback_messages_p120[/C][C]logins[/C][C]shared_compendiums[/C][C]pageviews[/C][C]totsize


[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.831[/C][C]0.39[/C][C]0.769[/C][C]0.716[/C][C]0.294[/C][C]0.893[/C][C]0.746[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.831[/C][C]1[/C][C]0.229[/C][C]0.774[/C][C]0.566[/C][C]0.238[/C][C]0.761[/C][C]0.76[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.39[/C][C]0.229[/C][C]1[/C][C]0.261[/C][C]0.388[/C][C]0.064[/C][C]0.563[/C][C]0.207[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.769[/C][C]0.774[/C][C]0.261[/C][C]1[/C][C]0.546[/C][C]0.402[/C][C]0.671[/C][C]0.755[/C][/ROW]
[ROW][C]logins[/C][C]0.716[/C][C]0.566[/C][C]0.388[/C][C]0.546[/C][C]1[/C][C]0.25[/C][C]0.759[/C][C]0.536[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.294[/C][C]0.238[/C][C]0.064[/C][C]0.402[/C][C]0.25[/C][C]1[/C][C]0.297[/C][C]0.386[/C][/ROW]
[ROW][C]pageviews[/C][C]0.893[/C][C]0.761[/C][C]0.563[/C][C]0.671[/C][C]0.759[/C][C]0.297[/C][C]1[/C][C]0.644[/C][/ROW]
[ROW][C]totsize


[/C][C]0.746[/C][C]0.76[/C][C]0.207[/C][C]0.755[/C][C]0.536[/C][C]0.386[/C][C]0.644[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158515&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_rfcblogged_computationscompendium_views_prfeedback_messages_p120loginsshared_compendiumspageviewstotsize
time_in_rfc10.8310.390.7690.7160.2940.8930.746
blogged_computations0.83110.2290.7740.5660.2380.7610.76
compendium_views_pr0.390.22910.2610.3880.0640.5630.207
feedback_messages_p1200.7690.7740.26110.5460.4020.6710.755
logins0.7160.5660.3880.54610.250.7590.536
shared_compendiums0.2940.2380.0640.4020.2510.2970.386
pageviews0.8930.7610.5630.6710.7590.29710.644
totsize 0.7460.760.2070.7550.5360.3860.6441







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
time_in_rfc;pageviews0.89280.90250.7387
p-value(0)(0)(0)
time_in_rfc;totsize 0.74620.81180.6171
p-value(0)(0)(0)
blogged_computations;compendium_views_pr0.22890.41730.2892
p-value(1e-04)(0)(0)
blogged_computations;feedback_messages_p1200.77390.77910.577
p-value(0)(0)(0)
blogged_computations;logins0.56610.71780.523
p-value(0)(0)(0)
blogged_computations;shared_compendiums0.2380.27590.2074
p-value(0)(0)(0)
blogged_computations;pageviews0.76060.82490.6272
p-value(0)(0)(0)
blogged_computations;totsize 0.76050.79620.6059
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
compendium_views_pr;logins0.38820.52260.3788
p-value(0)(0)(0)
compendium_views_pr;shared_compendiums0.06390.12630.094
p-value(0.2787)(0.0319)(0.0308)
compendium_views_pr;pageviews0.56330.63320.4628
p-value(0)(0)(0)
compendium_views_pr;totsize 0.20650.3460.2382
p-value(4e-04)(0)(0)
feedback_messages_p120;logins0.54620.61660.4437
p-value(0)(0)(0)
feedback_messages_p120;shared_compendiums0.40190.37530.278
p-value(0)(0)(0)
feedback_messages_p120;pageviews0.67130.71210.5211
p-value(0)(0)(0)
feedback_messages_p120;totsize 0.75530.80890.6106
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
logins;pageviews0.75880.8450.6609
p-value(0)(0)(0)
logins;totsize 0.53640.65880.4742
p-value(0)(0)(0)
shared_compendiums;pageviews0.29720.3410.2511
p-value(0)(0)(0)
shared_compendiums;totsize 0.38610.40320.3007
p-value(0)(0)(0)
pageviews;totsize 0.64390.72120.5315
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;blogged_computations & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p120 & 0.7689 & 0.8052 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \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
time_in_rfc;pageviews & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totsize


 & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendium_views_pr & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p120 & 0.7739 & 0.7791 & 0.577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;logins & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;shared_compendiums & 0.238 & 0.2759 & 0.2074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;pageviews & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totsize


 & 0.7605 & 0.7962 & 0.6059 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p120 & 0.2612 & 0.3762 & 0.2653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;logins & 0.3882 & 0.5226 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;shared_compendiums & 0.0639 & 0.1263 & 0.094 \tabularnewline
p-value & (0.2787) & (0.0319) & (0.0308) \tabularnewline
compendium_views_pr;pageviews & 0.5633 & 0.6332 & 0.4628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;totsize


 & 0.2065 & 0.346 & 0.2382 \tabularnewline
p-value & (4e-04) & (0) & (0) \tabularnewline
feedback_messages_p120;logins & 0.5462 & 0.6166 & 0.4437 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;shared_compendiums & 0.4019 & 0.3753 & 0.278 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;pageviews & 0.6713 & 0.7121 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totsize


 & 0.7553 & 0.8089 & 0.6106 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;pageviews & 0.7588 & 0.845 & 0.6609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize


 & 0.5364 & 0.6588 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;pageviews & 0.2972 & 0.341 & 0.2511 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;totsize


 & 0.3861 & 0.4032 & 0.3007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;totsize


 & 0.6439 & 0.7212 & 0.5315 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158515&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;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;compendium_views_pr[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;feedback_messages_p120[/C][C]0.7689[/C][C]0.8052[/C][C]0.6046[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/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;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]time_in_rfc;pageviews[/C][C]0.8928[/C][C]0.9025[/C][C]0.7387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totsize


[/C][C]0.7462[/C][C]0.8118[/C][C]0.6171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendium_views_pr[/C][C]0.2289[/C][C]0.4173[/C][C]0.2892[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p120[/C][C]0.7739[/C][C]0.7791[/C][C]0.577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;logins[/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]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]blogged_computations;pageviews[/C][C]0.7606[/C][C]0.8249[/C][C]0.6272[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totsize


[/C][C]0.7605[/C][C]0.7962[/C][C]0.6059[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p120[/C][C]0.2612[/C][C]0.3762[/C][C]0.2653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;logins[/C][C]0.3882[/C][C]0.5226[/C][C]0.3788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]0.0639[/C][C]0.1263[/C][C]0.094[/C][/ROW]
[ROW][C]p-value[/C][C](0.2787)[/C][C](0.0319)[/C][C](0.0308)[/C][/ROW]
[ROW][C]compendium_views_pr;pageviews[/C][C]0.5633[/C][C]0.6332[/C][C]0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;totsize


[/C][C]0.2065[/C][C]0.346[/C][C]0.2382[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;logins[/C][C]0.5462[/C][C]0.6166[/C][C]0.4437[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;shared_compendiums[/C][C]0.4019[/C][C]0.3753[/C][C]0.278[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;pageviews[/C][C]0.6713[/C][C]0.7121[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;totsize


[/C][C]0.7553[/C][C]0.8089[/C][C]0.6106[/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]logins;pageviews[/C][C]0.7588[/C][C]0.845[/C][C]0.6609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totsize


[/C][C]0.5364[/C][C]0.6588[/C][C]0.4742[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;pageviews[/C][C]0.2972[/C][C]0.341[/C][C]0.2511[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;totsize


[/C][C]0.3861[/C][C]0.4032[/C][C]0.3007[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;totsize


[/C][C]0.6439[/C][C]0.7212[/C][C]0.5315[/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=158515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158515&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;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
time_in_rfc;pageviews0.89280.90250.7387
p-value(0)(0)(0)
time_in_rfc;totsize 0.74620.81180.6171
p-value(0)(0)(0)
blogged_computations;compendium_views_pr0.22890.41730.2892
p-value(1e-04)(0)(0)
blogged_computations;feedback_messages_p1200.77390.77910.577
p-value(0)(0)(0)
blogged_computations;logins0.56610.71780.523
p-value(0)(0)(0)
blogged_computations;shared_compendiums0.2380.27590.2074
p-value(0)(0)(0)
blogged_computations;pageviews0.76060.82490.6272
p-value(0)(0)(0)
blogged_computations;totsize 0.76050.79620.6059
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
compendium_views_pr;logins0.38820.52260.3788
p-value(0)(0)(0)
compendium_views_pr;shared_compendiums0.06390.12630.094
p-value(0.2787)(0.0319)(0.0308)
compendium_views_pr;pageviews0.56330.63320.4628
p-value(0)(0)(0)
compendium_views_pr;totsize 0.20650.3460.2382
p-value(4e-04)(0)(0)
feedback_messages_p120;logins0.54620.61660.4437
p-value(0)(0)(0)
feedback_messages_p120;shared_compendiums0.40190.37530.278
p-value(0)(0)(0)
feedback_messages_p120;pageviews0.67130.71210.5211
p-value(0)(0)(0)
feedback_messages_p120;totsize 0.75530.80890.6106
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
logins;pageviews0.75880.8450.6609
p-value(0)(0)(0)
logins;totsize 0.53640.65880.4742
p-value(0)(0)(0)
shared_compendiums;pageviews0.29720.3410.2511
p-value(0)(0)(0)
shared_compendiums;totsize 0.38610.40320.3007
p-value(0)(0)(0)
pageviews;totsize 0.64390.72120.5315
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')