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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 computationSun, 18 Dec 2011 07:29:34 -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/18/t1324211534l9jcwkea4ummjpm.htm/, Retrieved Sun, 05 May 2024 18:03:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156770, Retrieved Sun, 05 May 2024 18:03:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Paper, Pearson Co...] [2011-12-18 12:29:34] [242bbde8f74d68805b56d9ecebfdbe63] [Current]
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Dataseries X:
1683	150596	84	37	18	63	20465	23975
1323	154801	50	42	20	56	33629	85634
192	7215	18	0	0	0	1423	1929
2172	122139	91	49	26	60	25629	36294
3335	221399	129	76	30	112	54002	72255
6310	441870	237	118	34	130	151036	189748
1478	134379	52	42	23	71	33287	61834
1324	140428	53	57	30	107	31172	68167
1488	103255	40	45	30	50	28113	38462
2756	271630	91	67	26	79	57803	101219
1931	121593	71	50	24	58	49830	43270
1966	172071	63	71	30	91	52143	76183
1575	83707	94	41	19	36	21055	31476
2855	197412	98	66	25	91	47007	62157
1263	134398	48	42	17	58	28735	46261
1479	139224	73	54	19	65	59147	50063
1636	134153	52	75	33	131	78950	64483
1076	64149	52	0	15	45	13497	2341
2376	122294	82	54	34	110	46154	48149
678	24889	22	13	15	33	53249	12743
902	52197	52	16	15	37	10726	18743
2308	188915	89	77	27	78	83700	97057
1590	163147	66	34	25	67	40400	17675
1863	98575	48	38	34	69	33797	33106
1799	143546	80	50	21	58	36205	53311
1385	139780	25	39	21	60	30165	42754
1870	163784	146	54	25	88	58534	59056
1161	152479	75	67	28	71	44663	101621
2417	304108	109	55	26	85	92556	118120
1952	184024	40	52	20	67	40078	79572
1514	151621	41	50	28	84	34711	42744
1487	164516	41	54	20	58	31076	65931
2051	120179	94	53	17	35	74608	38575
2843	214701	116	76	25	74	58092	28795
2216	196865	48	52	24	89	42009	94440
1	0	1	0	0	0	0	0
1830	181527	57	46	27	75	36022	38229
1563	93107	49	44	14	39	23333	31972
2046	129352	45	35	32	93	53349	40071
2005	229143	58	82	31	123	92596	132480
1934	177063	67	70	21	73	49598	62797
1572	126602	53	31	34	118	44093	40429
950	93742	29	25	23	76	84205	45545
1877	152153	72	48	24	65	63369	57568
1036	95704	42	44	22	82	60132	39019
1097	139793	84	40	22	67	37403	53866
730	76348	30	23	35	63	24460	38345
1918	188980	86	63	21	84	46456	50210
1826	172100	79	43	31	112	66616	80947
2444	146552	54	62	26	75	41554	43461
658	48188	28	12	22	39	22346	14812
1425	109185	60	63	21	63	30874	37819
2246	263652	68	60	27	93	68701	102738
1899	215609	75	53	26	69	35728	54509
1630	174876	54	53	33	117	29010	62956
1496	115124	49	35	11	30	23110	55411
1681	179712	60	49	26	65	38844	50611
816	70369	20	25	26	78	27084	26692
902	109215	58	47	21	80	35139	60056
2606	166096	85	30	38	85	57476	25155
1557	130414	51	50	29	107	33277	42840
1780	102057	71	36	19	60	31141	39358
1265	115310	56	43	19	53	61281	47241
1117	101181	32	44	24	62	25820	49611
1069	135228	31	14	26	90	23284	41833
1229	94982	37	38	29	89	35378	48930
2155	166919	67	58	34	127	74990	110600
2500	118169	64	68	25	71	29653	52235
1003	102361	36	48	24	75	64622	53986
340	31970	15	5	21	42	4157	4105
2586	200413	107	53	19	42	29245	59331
1119	103381	58	36	12	8	50008	47796
1251	94940	61	62	28	82	52338	38302
1516	101560	65	46	21	41	13310	14063
2473	144176	60	67	34	118	92901	54414
1288	71921	37	2	32	91	10956	9903
1911	126905	54	64	27	96	34241	53987
2279	131184	87	59	26	81	75043	88937
816	60138	23	16	21	46	21152	21928
1234	84971	71	34	31	60	42249	29487
907	80420	64	54	26	69	42005	35334
1827	233569	57	39	26	85	41152	57596
841	56252	25	26	23	17	14399	29750
1309	97181	32	37	25	61	28263	41029
764	50800	41	17	22	55	17215	12416
1439	125941	45	32	26	55	48140	51158
2500	211032	210	55	33	124	62897	79935
974	71960	92	39	22	65	22883	26552
1152	90379	53	39	24	73	41622	25807
1261	125650	47	28	21	67	40715	50620
1508	115572	36	45	28	66	65897	61467
2005	136266	67	66	22	61	76542	65292
1191	146715	55	39	22	74	37477	55516
1265	124626	57	27	15	55	53216	42006
761	49176	33	22	13	27	40911	26273
2156	212926	102	43	36	115	57021	90248
1689	173884	55	88	24	76	73116	61476
223	19349	12	13	1	0	3895	9604
2074	181141	95	23	24	83	46609	45108
1879	145502	70	40	31	90	29351	47232
566	45448	26	8	4	4	2325	3439
802	58280	20	41	20	56	31747	30553
1131	115944	44	51	23	63	32665	24751
981	94341	52	24	23	52	19249	34458
591	59090	37	23	12	24	15292	24649
596	27676	22	2	16	17	5842	2342
1261	120586	41	78	28	101	33994	52739
861	88011	31	12	10	20	13018	6245
0	0	0	0	0	0	0	0
1030	85610	31	46	25	51	98177	35381
991	84193	58	22	21	76	37941	19595
1178	117769	39	49	21	55	31032	50848
1200	107653	56	52	21	70	32683	39443
849	71894	57	36	21	38	34545	27023
78	3616	5	0	0	0	0	0
0	0	0	0	0	0	0	0
924	154806	38	35	23	81	27525	61022
1480	136061	73	68	29	64	66856	63528
1870	141822	89	26	27	66	28549	34835
861	106515	37	32	23	89	38610	37172
778	43410	19	7	1	3	2781	13
1533	146920	64	67	25	76	41211	62548
889	88874	38	30	17	48	22698	31334
1705	111924	49	55	29	62	41194	20839
700	60373	39	3	12	32	32689	5084
285	19764	12	10	2	4	5752	9927
1490	121665	46	46	18	61	26757	53229
981	108685	26	23	25	90	22527	29877
1368	124493	37	43	29	91	44810	37310
256	11796	9	1	2	1	0	0
98	10674	9	0	0	0	0	0
1317	131263	52	33	18	39	100674	50067
41	6836	3	0	1	0	0	0
1768	153278	55	48	21	45	57786	47708
42	5118	3	5	0	0	0	0
528	40248	16	8	4	7	5444	6012
0	0	0	0	0	0	0	0
938	100728	42	25	25	75	28470	27749
1245	84267	36	21	26	52	61849	47555
81	7131	4	0	0	0	0	0
257	8812	13	0	4	1	2179	1336
891	63952	22	15	17	49	8019	11017
1114	120111	47	47	21	69	39644	55184
1079	94127	18	17	22	56	23494	43485




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156770&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156770&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156770&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'AstonUniversity' @ aston.wessa.net







Correlations for all pairs of data series (method=pearson)
PageviewsTime_in_RFC#LoginsblogsreviewsSubmits_+120CharactersCW_time
Pageviews10.8870.8370.7860.6580.6830.7020.757
Time_in_RFC0.88710.7730.7880.6550.7310.7090.865
#Logins0.8370.77310.6680.5410.5790.6120.647
blogs0.7860.7880.66810.6560.7030.7180.793
reviews0.6580.6550.5410.65610.890.6080.608
Submits_+1200.6830.7310.5790.7030.8910.6310.7
Characters0.7020.7090.6120.7180.6080.63110.756
CW_time0.7570.8650.6470.7930.6080.70.7561

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Pageviews & Time_in_RFC & #Logins & blogs & reviews & Submits_+120 & Characters & CW_time \tabularnewline
Pageviews & 1 & 0.887 & 0.837 & 0.786 & 0.658 & 0.683 & 0.702 & 0.757 \tabularnewline
Time_in_RFC & 0.887 & 1 & 0.773 & 0.788 & 0.655 & 0.731 & 0.709 & 0.865 \tabularnewline
#Logins & 0.837 & 0.773 & 1 & 0.668 & 0.541 & 0.579 & 0.612 & 0.647 \tabularnewline
blogs & 0.786 & 0.788 & 0.668 & 1 & 0.656 & 0.703 & 0.718 & 0.793 \tabularnewline
reviews & 0.658 & 0.655 & 0.541 & 0.656 & 1 & 0.89 & 0.608 & 0.608 \tabularnewline
Submits_+120 & 0.683 & 0.731 & 0.579 & 0.703 & 0.89 & 1 & 0.631 & 0.7 \tabularnewline
Characters & 0.702 & 0.709 & 0.612 & 0.718 & 0.608 & 0.631 & 1 & 0.756 \tabularnewline
CW_time & 0.757 & 0.865 & 0.647 & 0.793 & 0.608 & 0.7 & 0.756 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156770&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Pageviews[/C][C]Time_in_RFC[/C][C]#Logins[/C][C]blogs[/C][C]reviews[/C][C]Submits_+120[/C][C]Characters[/C][C]CW_time[/C][/ROW]
[ROW][C]Pageviews[/C][C]1[/C][C]0.887[/C][C]0.837[/C][C]0.786[/C][C]0.658[/C][C]0.683[/C][C]0.702[/C][C]0.757[/C][/ROW]
[ROW][C]Time_in_RFC[/C][C]0.887[/C][C]1[/C][C]0.773[/C][C]0.788[/C][C]0.655[/C][C]0.731[/C][C]0.709[/C][C]0.865[/C][/ROW]
[ROW][C]#Logins[/C][C]0.837[/C][C]0.773[/C][C]1[/C][C]0.668[/C][C]0.541[/C][C]0.579[/C][C]0.612[/C][C]0.647[/C][/ROW]
[ROW][C]blogs[/C][C]0.786[/C][C]0.788[/C][C]0.668[/C][C]1[/C][C]0.656[/C][C]0.703[/C][C]0.718[/C][C]0.793[/C][/ROW]
[ROW][C]reviews[/C][C]0.658[/C][C]0.655[/C][C]0.541[/C][C]0.656[/C][C]1[/C][C]0.89[/C][C]0.608[/C][C]0.608[/C][/ROW]
[ROW][C]Submits_+120[/C][C]0.683[/C][C]0.731[/C][C]0.579[/C][C]0.703[/C][C]0.89[/C][C]1[/C][C]0.631[/C][C]0.7[/C][/ROW]
[ROW][C]Characters[/C][C]0.702[/C][C]0.709[/C][C]0.612[/C][C]0.718[/C][C]0.608[/C][C]0.631[/C][C]1[/C][C]0.756[/C][/ROW]
[ROW][C]CW_time[/C][C]0.757[/C][C]0.865[/C][C]0.647[/C][C]0.793[/C][C]0.608[/C][C]0.7[/C][C]0.756[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156770&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156770&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)
PageviewsTime_in_RFC#LoginsblogsreviewsSubmits_+120CharactersCW_time
Pageviews10.8870.8370.7860.6580.6830.7020.757
Time_in_RFC0.88710.7730.7880.6550.7310.7090.865
#Logins0.8370.77310.6680.5410.5790.6120.647
blogs0.7860.7880.66810.6560.7030.7180.793
reviews0.6580.6550.5410.65610.890.6080.608
Submits_+1200.6830.7310.5790.7030.8910.6310.7
Characters0.7020.7090.6120.7180.6080.63110.756
CW_time0.7570.8650.6470.7930.6080.70.7561







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Pageviews;Time_in_RFC0.88730.8610.6971
p-value(0)(0)(0)
Pageviews;#Logins0.83750.8060.6372
p-value(0)(0)(0)
Pageviews;blogs0.78580.76960.5942
p-value(0)(0)(0)
Pageviews;reviews0.65850.6220.4632
p-value(0)(0)(0)
Pageviews;Submits_+1200.68290.6490.483
p-value(0)(0)(0)
Pageviews;Characters0.70240.65820.4926
p-value(0)(0)(0)
Pageviews;CW_time0.75730.70670.5361
p-value(0)(0)(0)
Time_in_RFC;#Logins0.77350.73810.5714
p-value(0)(0)(0)
Time_in_RFC;blogs0.78760.75150.5749
p-value(0)(0)(0)
Time_in_RFC;reviews0.65550.57750.4254
p-value(0)(0)(0)
Time_in_RFC;Submits_+1200.73120.70840.5366
p-value(0)(0)(0)
Time_in_RFC;Characters0.70940.66090.4986
p-value(0)(0)(0)
Time_in_RFC;CW_time0.86450.82930.6639
p-value(0)(0)(0)
#Logins;blogs0.66840.69240.5156
p-value(0)(0)(0)
#Logins;reviews0.54080.47580.3458
p-value(0)(0)(0)
#Logins;Submits_+1200.57910.5310.3879
p-value(0)(0)(0)
#Logins;Characters0.61250.60810.4595
p-value(0)(0)(0)
#Logins;CW_time0.64690.59370.4374
p-value(0)(0)(0)
blogs;reviews0.65620.5620.4178
p-value(0)(0)(0)
blogs;Submits_+1200.70280.63240.473
p-value(0)(0)(0)
blogs;Characters0.71770.67980.5147
p-value(0)(0)(0)
blogs;CW_time0.79280.77810.6075
p-value(0)(0)(0)
reviews;Submits_+1200.88990.82940.6805
p-value(0)(0)(0)
reviews;Characters0.60780.56370.4221
p-value(0)(0)(0)
reviews;CW_time0.60830.54440.4052
p-value(0)(0)(0)
Submits_+120;Characters0.63130.60470.4577
p-value(0)(0)(0)
Submits_+120;CW_time0.69980.66360.4967
p-value(0)(0)(0)
Characters;CW_time0.75630.70170.5394
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
Pageviews;Time_in_RFC & 0.8873 & 0.861 & 0.6971 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;#Logins & 0.8375 & 0.806 & 0.6372 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;blogs & 0.7858 & 0.7696 & 0.5942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;reviews & 0.6585 & 0.622 & 0.4632 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Submits_+120 & 0.6829 & 0.649 & 0.483 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Characters & 0.7024 & 0.6582 & 0.4926 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;CW_time & 0.7573 & 0.7067 & 0.5361 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;#Logins & 0.7735 & 0.7381 & 0.5714 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;blogs & 0.7876 & 0.7515 & 0.5749 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;reviews & 0.6555 & 0.5775 & 0.4254 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Submits_+120 & 0.7312 & 0.7084 & 0.5366 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Characters & 0.7094 & 0.6609 & 0.4986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;CW_time & 0.8645 & 0.8293 & 0.6639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;blogs & 0.6684 & 0.6924 & 0.5156 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;reviews & 0.5408 & 0.4758 & 0.3458 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Submits_+120 & 0.5791 & 0.531 & 0.3879 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Characters & 0.6125 & 0.6081 & 0.4595 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;CW_time & 0.6469 & 0.5937 & 0.4374 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;reviews & 0.6562 & 0.562 & 0.4178 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Submits_+120 & 0.7028 & 0.6324 & 0.473 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Characters & 0.7177 & 0.6798 & 0.5147 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;CW_time & 0.7928 & 0.7781 & 0.6075 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;Submits_+120 & 0.8899 & 0.8294 & 0.6805 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;Characters & 0.6078 & 0.5637 & 0.4221 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;CW_time & 0.6083 & 0.5444 & 0.4052 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Submits_+120;Characters & 0.6313 & 0.6047 & 0.4577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Submits_+120;CW_time & 0.6998 & 0.6636 & 0.4967 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Characters;CW_time & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156770&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]Pageviews;Time_in_RFC[/C][C]0.8873[/C][C]0.861[/C][C]0.6971[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;#Logins[/C][C]0.8375[/C][C]0.806[/C][C]0.6372[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;blogs[/C][C]0.7858[/C][C]0.7696[/C][C]0.5942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;reviews[/C][C]0.6585[/C][C]0.622[/C][C]0.4632[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Submits_+120[/C][C]0.6829[/C][C]0.649[/C][C]0.483[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Characters[/C][C]0.7024[/C][C]0.6582[/C][C]0.4926[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;CW_time[/C][C]0.7573[/C][C]0.7067[/C][C]0.5361[/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]0.7735[/C][C]0.7381[/C][C]0.5714[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;blogs[/C][C]0.7876[/C][C]0.7515[/C][C]0.5749[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;reviews[/C][C]0.6555[/C][C]0.5775[/C][C]0.4254[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;Submits_+120[/C][C]0.7312[/C][C]0.7084[/C][C]0.5366[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;Characters[/C][C]0.7094[/C][C]0.6609[/C][C]0.4986[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;CW_time[/C][C]0.8645[/C][C]0.8293[/C][C]0.6639[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;blogs[/C][C]0.6684[/C][C]0.6924[/C][C]0.5156[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;reviews[/C][C]0.5408[/C][C]0.4758[/C][C]0.3458[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;Submits_+120[/C][C]0.5791[/C][C]0.531[/C][C]0.3879[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;Characters[/C][C]0.6125[/C][C]0.6081[/C][C]0.4595[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;CW_time[/C][C]0.6469[/C][C]0.5937[/C][C]0.4374[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;reviews[/C][C]0.6562[/C][C]0.562[/C][C]0.4178[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;Submits_+120[/C][C]0.7028[/C][C]0.6324[/C][C]0.473[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;Characters[/C][C]0.7177[/C][C]0.6798[/C][C]0.5147[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;CW_time[/C][C]0.7928[/C][C]0.7781[/C][C]0.6075[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;Submits_+120[/C][C]0.8899[/C][C]0.8294[/C][C]0.6805[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;Characters[/C][C]0.6078[/C][C]0.5637[/C][C]0.4221[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;CW_time[/C][C]0.6083[/C][C]0.5444[/C][C]0.4052[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Submits_+120;Characters[/C][C]0.6313[/C][C]0.6047[/C][C]0.4577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Submits_+120;CW_time[/C][C]0.6998[/C][C]0.6636[/C][C]0.4967[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Characters;CW_time[/C][C]0.7563[/C][C]0.7017[/C][C]0.5394[/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=156770&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156770&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
Pageviews;Time_in_RFC0.88730.8610.6971
p-value(0)(0)(0)
Pageviews;#Logins0.83750.8060.6372
p-value(0)(0)(0)
Pageviews;blogs0.78580.76960.5942
p-value(0)(0)(0)
Pageviews;reviews0.65850.6220.4632
p-value(0)(0)(0)
Pageviews;Submits_+1200.68290.6490.483
p-value(0)(0)(0)
Pageviews;Characters0.70240.65820.4926
p-value(0)(0)(0)
Pageviews;CW_time0.75730.70670.5361
p-value(0)(0)(0)
Time_in_RFC;#Logins0.77350.73810.5714
p-value(0)(0)(0)
Time_in_RFC;blogs0.78760.75150.5749
p-value(0)(0)(0)
Time_in_RFC;reviews0.65550.57750.4254
p-value(0)(0)(0)
Time_in_RFC;Submits_+1200.73120.70840.5366
p-value(0)(0)(0)
Time_in_RFC;Characters0.70940.66090.4986
p-value(0)(0)(0)
Time_in_RFC;CW_time0.86450.82930.6639
p-value(0)(0)(0)
#Logins;blogs0.66840.69240.5156
p-value(0)(0)(0)
#Logins;reviews0.54080.47580.3458
p-value(0)(0)(0)
#Logins;Submits_+1200.57910.5310.3879
p-value(0)(0)(0)
#Logins;Characters0.61250.60810.4595
p-value(0)(0)(0)
#Logins;CW_time0.64690.59370.4374
p-value(0)(0)(0)
blogs;reviews0.65620.5620.4178
p-value(0)(0)(0)
blogs;Submits_+1200.70280.63240.473
p-value(0)(0)(0)
blogs;Characters0.71770.67980.5147
p-value(0)(0)(0)
blogs;CW_time0.79280.77810.6075
p-value(0)(0)(0)
reviews;Submits_+1200.88990.82940.6805
p-value(0)(0)(0)
reviews;Characters0.60780.56370.4221
p-value(0)(0)(0)
reviews;CW_time0.60830.54440.4052
p-value(0)(0)(0)
Submits_+120;Characters0.63130.60470.4577
p-value(0)(0)(0)
Submits_+120;CW_time0.69980.66360.4967
p-value(0)(0)(0)
Characters;CW_time0.75630.70170.5394
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')