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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 09:57:40 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/18/t1324220295ohjos1ras0q4izg.htm/, Retrieved Sun, 05 May 2024 19:27:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156940, Retrieved Sun, 05 May 2024 19:27:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
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 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Correlation matrix ] [2011-12-18 13:59:47] [e13b8cc08ad7cfa5593a43161c1cbb1d]
-    D    [Kendall tau Correlation Matrix] [Correlation matri...] [2011-12-18 14:16:15] [e13b8cc08ad7cfa5593a43161c1cbb1d]
- R  D        [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-18 14:57:40] [4352eab26b4a512b718de67a19830b91] [Current]
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Dataseries X:
1738	157382	86	563	109	0	48	18	20465
1446	168465	52	426	74	1	45	20	33629
192	7215	18	72	1	0	0	0	1423
2181	122259	91	618	154	0	49	26	25629
3335	221399	129	1118	124	0	76	30	54002
6406	454489	242	1788	278	1	118	36	151036
1479	134379	53	498	89	1	42	23	33287
1410	150416	54	384	54	0	62	30	31172
1591	121391	41	468	87	0	48	30	28113
2811	275326	91	919	129	1	67	26	57803
1932	121593	72	629	158	2	50	24	49830
1967	172071	64	611	113	0	71	30	52143
1621	86249	94	574	83	0	41	21	21055
2933	201902	100	987	255	4	77	25	47007
1332	144113	50	384	50	4	45	17	28735
1502	144677	77	452	81	3	54	19	59147
1636	134153	52	391	92	0	75	33	78950
1076	64149	52	305	72	5	0	15	13497
2376	122294	82	721	142	0	54	34	46154
710	27918	24	215	49	0	13	18	53249
902	52197	52	310	40	0	16	15	10726
2332	191463	90	697	94	0	78	27	83700
1647	176034	68	597	127	0	35	25	40400
1876	98629	49	560	164	1	38	34	33797
1800	143546	81	569	41	1	50	21	36205
1385	139780	25	513	160	0	39	21	30165
1913	174181	149	616	90	0	58	25	58534
1243	163773	79	311	55	0	70	28	44663
2483	312831	111	810	84	0	55	28	92556
1953	184024	41	815	90	0	52	20	40078
1514	151621	41	427	76	0	50	28	34711
1488	164516	42	496	111	2	54	20	31076
2073	120414	95	661	87	4	53	17	74608
2874	214975	117	861	302	0	76	25	58092
2248	200609	48	742	84	1	54	24	42009
1	0	1	0	0	0	0	0	0
1888	191923	58	890	58	0	46	27	36022
1563	93107	49	483	137	3	44	14	23333
2054	129419	45	495	267	9	35	32	53349
2053	233497	61	760	60	0	82	31	92596
1950	178228	67	628	94	2	73	21	49598
1572	126602	53	597	62	0	31	34	44093
957	94332	29	350	35	2	25	23	84205
1974	164183	75	742	59	1	57	24	63369
1036	95704	42	322	46	2	44	22	60132
1105	139901	85	282	40	2	40	22	37403
744	81293	31	212	49	1	23	35	24460
1926	189007	87	651	114	0	63	21	46456
1853	173779	80	588	113	1	43	31	66616
2445	146552	55	875	171	7	62	26	41554
658	48188	28	205	37	0	12	22	22346
1489	113870	61	381	51	0	67	21	30874
2276	266451	68	769	89	0	60	27	68701
1955	229437	77	664	67	0	55	26	35728
1630	174876	54	584	49	1	53	33	29010
1506	119070	50	465	74	6	35	11	23110
1720	186704	60	456	58	0	50	26	38844
852	72559	22	251	72	0	25	26	27084
917	111940	59	315	32	0	47	23	35139
2614	166226	86	880	59	10	30	38	57476
1558	130414	52	454	65	6	50	29	33277
1792	102141	71	673	81	0	36	19	31141
1271	115753	58	348	84	11	43	19	61281
1135	102194	33	384	46	3	44	24	25820
1169	148531	32	395	56	0	25	26	23284
1229	94982	37	391	36	0	38	29	35378
2226	178613	67	483	86	8	68	36	74990
2752	128907	65	843	152	2	83	25	29653
1007	102378	36	248	48	0	48	24	64622
340	31970	15	101	40	0	5	21	4157
2606	204812	108	910	135	3	53	19	29245
1159	104972	61	352	80	1	36	12	50008
1264	95276	62	410	60	2	62	28	52338
1516	101560	65	442	89	1	46	21	13310
2474	144193	60	627	89	0	67	34	92901
1288	71921	37	345	79	2	2	32	10956
1911	126905	54	538	111	1	64	27	34241
2337	140303	89	756	69	0	59	28	75043
816	60138	23	253	76	0	16	21	21152
1234	84971	71	395	105	0	34	31	42249
907	80420	64	211	49	0	54	26	42005
1912	244190	58	712	60	0	39	29	41152
842	56252	26	244	49	0	26	23	14399
1309	97181	32	438	132	0	37	25	28263
770	50913	42	256	49	0	17	22	17215
1567	143910	46	496	71	0	32	26	48140
2543	218900	217	624	100	0	55	33	62897
1095	90772	96	263	71	0	50	22	22883
1154	90385	54	360	49	6	39	24	41622
1324	136220	48	518	72	0	30	21	40715
1509	115572	37	535	59	5	45	28	65897
2014	139075	69	587	87	1	66	23	76542
1216	148950	56	407	68	0	39	25	37477
1265	124626	57	466	81	0	27	15	53216
762	49176	34	291	30	0	22	13	40911
2178	215480	104	694	166	0	45	36	57021
1752	182328	61	526	94	0	95	24	73116
223	19349	12	67	15	0	13	1	3895
2117	183873	95	726	104	3	26	24	46609
1888	146020	71	771	61	0	40	31	29351
619	51201	27	263	11	0	13	4	2325
802	58280	20	240	44	0	41	20	31747
1131	115944	44	360	84	0	51	23	32665
982	94341	53	249	66	1	24	23	19249
709	72904	37	190	27	0	30	12	15292
596	27676	22	194	59	0	2	16	5842
1302	125728	42	298	127	0	78	29	33994
868	89920	31	229	32	0	12	10	13018
0	0	0	0	0	0	0	0	0
1030	85610	31	306	58	0	46	25	98177
1116	106742	65	366	57	0	25	21	37941
1237	126825	42	412	59	0	49	23	31032
1214	109807	56	372	65	0	52	21	32683
849	71894	57	287	71	0	36	21	34545
78	3616	5	14	5	0	0	0	0
0	0	0	0	0	0	0	0	0
924	154806	38	301	70	0	35	23	27525
1495	136333	75	539	72	0	68	29	66856
1898	147766	92	535	119	1	26	28	28549
912	113245	37	287	56	0	36	23	38610
778	43410	19	292	63	0	7	1	2781
1567	152455	65	474	88	1	67	25	41211
890	88874	39	241	46	0	30	17	22698
1705	111924	49	497	60	8	55	29	41194
700	60373	39	165	29	3	3	12	32689
285	19764	12	75	19	1	10	2	5752
1528	125760	49	471	61	2	46	20	26757
982	108685	27	341	66	0	23	25	22527
1496	141868	38	497	97	0	48	29	44810
256	11796	9	79	22	0	1	2	0
98	10674	9	33	7	0	0	0	0
1317	131263	52	449	37	0	33	18	100674
41	6836	3	11	5	0	0	1	0
1769	153278	56	606	48	5	48	21	57786
42	5118	3	6	1	0	5	0	0
528	40248	16	183	34	1	8	4	5444
0	0	0	0	0	0	0	0	0
946	100798	43	312	49	0	25	25	28470
1252	84315	36	248	44	0	21	26	61849
81	7131	4	27	0	1	0	0	0
257	8812	13	97	18	0	0	4	2179
892	63952	23	247	48	1	15	17	8019
1114	120111	47	273	54	0	47	21	39644
1079	94127	18	386	50	1	17	22	23494




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=156940&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=156940&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156940&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_spent_in_RFC_in_secondsloginscompendium_viewscompendium_views_(PR)shared_compendiumsblogged_computationsreviewed_compendiumscompendium_writing_total_characters
pageviews10.8860.8350.9650.7630.2140.7880.6670.7
time_spent_in_RFC_in_seconds0.88610.7750.8790.6140.0940.7830.6640.704
logins0.8350.77510.7790.6030.0870.670.5480.613
compendium_views0.9650.8790.77910.7140.1780.7390.6270.65
compendium_views_(PR)0.7630.6140.6030.71410.2040.5970.5270.439
shared_compendiums0.2140.0940.0870.1780.20410.0980.1490.156
blogged_computations0.7880.7830.670.7390.5970.09810.6560.702
reviewed_compendiums0.6670.6640.5480.6270.5270.1490.65610.618
compendium_writing_total_characters0.70.7040.6130.650.4390.1560.7020.6181

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_spent_in_RFC_in_seconds & logins & compendium_views & compendium_views_(PR) & shared_compendiums & blogged_computations & reviewed_compendiums & compendium_writing_total_characters \tabularnewline
pageviews & 1 & 0.886 & 0.835 & 0.965 & 0.763 & 0.214 & 0.788 & 0.667 & 0.7 \tabularnewline
time_spent_in_RFC_in_seconds & 0.886 & 1 & 0.775 & 0.879 & 0.614 & 0.094 & 0.783 & 0.664 & 0.704 \tabularnewline
logins & 0.835 & 0.775 & 1 & 0.779 & 0.603 & 0.087 & 0.67 & 0.548 & 0.613 \tabularnewline
compendium_views & 0.965 & 0.879 & 0.779 & 1 & 0.714 & 0.178 & 0.739 & 0.627 & 0.65 \tabularnewline
compendium_views_(PR) & 0.763 & 0.614 & 0.603 & 0.714 & 1 & 0.204 & 0.597 & 0.527 & 0.439 \tabularnewline
shared_compendiums & 0.214 & 0.094 & 0.087 & 0.178 & 0.204 & 1 & 0.098 & 0.149 & 0.156 \tabularnewline
blogged_computations & 0.788 & 0.783 & 0.67 & 0.739 & 0.597 & 0.098 & 1 & 0.656 & 0.702 \tabularnewline
reviewed_compendiums & 0.667 & 0.664 & 0.548 & 0.627 & 0.527 & 0.149 & 0.656 & 1 & 0.618 \tabularnewline
compendium_writing_total_characters & 0.7 & 0.704 & 0.613 & 0.65 & 0.439 & 0.156 & 0.702 & 0.618 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156940&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_spent_in_RFC_in_seconds[/C][C]logins[/C][C]compendium_views[/C][C]compendium_views_(PR)[/C][C]shared_compendiums[/C][C]blogged_computations[/C][C]reviewed_compendiums[/C][C]compendium_writing_total_characters[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.886[/C][C]0.835[/C][C]0.965[/C][C]0.763[/C][C]0.214[/C][C]0.788[/C][C]0.667[/C][C]0.7[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds[/C][C]0.886[/C][C]1[/C][C]0.775[/C][C]0.879[/C][C]0.614[/C][C]0.094[/C][C]0.783[/C][C]0.664[/C][C]0.704[/C][/ROW]
[ROW][C]logins[/C][C]0.835[/C][C]0.775[/C][C]1[/C][C]0.779[/C][C]0.603[/C][C]0.087[/C][C]0.67[/C][C]0.548[/C][C]0.613[/C][/ROW]
[ROW][C]compendium_views[/C][C]0.965[/C][C]0.879[/C][C]0.779[/C][C]1[/C][C]0.714[/C][C]0.178[/C][C]0.739[/C][C]0.627[/C][C]0.65[/C][/ROW]
[ROW][C]compendium_views_(PR)[/C][C]0.763[/C][C]0.614[/C][C]0.603[/C][C]0.714[/C][C]1[/C][C]0.204[/C][C]0.597[/C][C]0.527[/C][C]0.439[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.214[/C][C]0.094[/C][C]0.087[/C][C]0.178[/C][C]0.204[/C][C]1[/C][C]0.098[/C][C]0.149[/C][C]0.156[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.788[/C][C]0.783[/C][C]0.67[/C][C]0.739[/C][C]0.597[/C][C]0.098[/C][C]1[/C][C]0.656[/C][C]0.702[/C][/ROW]
[ROW][C]reviewed_compendiums[/C][C]0.667[/C][C]0.664[/C][C]0.548[/C][C]0.627[/C][C]0.527[/C][C]0.149[/C][C]0.656[/C][C]1[/C][C]0.618[/C][/ROW]
[ROW][C]compendium_writing_total_characters[/C][C]0.7[/C][C]0.704[/C][C]0.613[/C][C]0.65[/C][C]0.439[/C][C]0.156[/C][C]0.702[/C][C]0.618[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156940&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156940&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_spent_in_RFC_in_secondsloginscompendium_viewscompendium_views_(PR)shared_compendiumsblogged_computationsreviewed_compendiumscompendium_writing_total_characters
pageviews10.8860.8350.9650.7630.2140.7880.6670.7
time_spent_in_RFC_in_seconds0.88610.7750.8790.6140.0940.7830.6640.704
logins0.8350.77510.7790.6030.0870.670.5480.613
compendium_views0.9650.8790.77910.7140.1780.7390.6270.65
compendium_views_(PR)0.7630.6140.6030.71410.2040.5970.5270.439
shared_compendiums0.2140.0940.0870.1780.20410.0980.1490.156
blogged_computations0.7880.7830.670.7390.5970.09810.6560.702
reviewed_compendiums0.6670.6640.5480.6270.5270.1490.65610.618
compendium_writing_total_characters0.70.7040.6130.650.4390.1560.7020.6181







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;time_spent_in_RFC_in_seconds0.88590.86240.6984
p-value(0)(0)(0)
pageviews;logins0.83510.80780.6364
p-value(0)(0)(0)
pageviews;compendium_views0.96490.96190.841
p-value(0)(0)(0)
pageviews;compendium_views_(PR)0.76350.78020.6003
p-value(0)(0)(0)
pageviews;shared_compendiums0.21410.26960.2065
p-value(0.01)(0.0011)(0.0012)
pageviews;blogged_computations0.78780.7740.5973
p-value(0)(0)(0)
pageviews;reviewed_compendiums0.66720.63030.4702
p-value(0)(0)(0)
pageviews;compendium_writing_total_characters0.70040.66010.4962
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;logins0.77480.7380.5702
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;compendium_views0.87890.85420.6822
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;compendium_views_(PR)0.61430.64440.479
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;shared_compendiums0.09380.13980.1067
p-value(0.2636)(0.0948)(0.0954)
time_spent_in_RFC_in_seconds;blogged_computations0.78330.75690.5797
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;reviewed_compendiums0.66450.58290.4274
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;compendium_writing_total_characters0.70370.65030.4895
p-value(0)(0)(0)
logins;compendium_views0.7790.77450.6004
p-value(0)(0)(0)
logins;compendium_views_(PR)0.60310.63970.4782
p-value(0)(0)(0)
logins;shared_compendiums0.08670.17850.1374
p-value(0.3015)(0.0323)(0.0324)
logins;blogged_computations0.670.70770.5291
p-value(0)(0)(0)
logins;reviewed_compendiums0.54770.4820.3522
p-value(0)(0)(0)
logins;compendium_writing_total_characters0.61320.60780.4599
p-value(0)(0)(0)
compendium_views;compendium_views_(PR)0.71430.74440.5696
p-value(0)(0)(0)
compendium_views;shared_compendiums0.17760.22490.1688
p-value(0.0333)(0.0067)(0.0084)
compendium_views;blogged_computations0.73920.70980.5356
p-value(0)(0)(0)
compendium_views;reviewed_compendiums0.62730.57440.4239
p-value(0)(0)(0)
compendium_views;compendium_writing_total_characters0.64980.62410.4564
p-value(0)(0)(0)
compendium_views_(PR);shared_compendiums0.20380.18570.1423
p-value(0.0143)(0.0259)(0.0269)
compendium_views_(PR);blogged_computations0.5970.61720.4595
p-value(0)(0)(0)
compendium_views_(PR);reviewed_compendiums0.52660.50770.3759
p-value(0)(0)(0)
compendium_views_(PR);compendium_writing_total_characters0.43860.4580.3258
p-value(0)(0)(0)
shared_compendiums;blogged_computations0.09810.13140.0996
p-value(0.2421)(0.1164)(0.1224)
shared_compendiums;reviewed_compendiums0.14880.03790.0286
p-value(0.0751)(0.6521)(0.6617)
shared_compendiums;compendium_writing_total_characters0.15560.15450.118
p-value(0.0626)(0.0644)(0.0655)
blogged_computations;reviewed_compendiums0.65630.56010.4147
p-value(0)(0)(0)
blogged_computations;compendium_writing_total_characters0.70250.66720.5022
p-value(0)(0)(0)
reviewed_compendiums;compendium_writing_total_characters0.61770.56780.4237
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_spent_in_RFC_in_seconds & 0.8859 & 0.8624 & 0.6984 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.8351 & 0.8078 & 0.6364 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views & 0.9649 & 0.9619 & 0.841 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_(PR) & 0.7635 & 0.7802 & 0.6003 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;shared_compendiums & 0.2141 & 0.2696 & 0.2065 \tabularnewline
p-value & (0.01) & (0.0011) & (0.0012) \tabularnewline
pageviews;blogged_computations & 0.7878 & 0.774 & 0.5973 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;reviewed_compendiums & 0.6672 & 0.6303 & 0.4702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_writing_total_characters & 0.7004 & 0.6601 & 0.4962 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_in_RFC_in_seconds;logins & 0.7748 & 0.738 & 0.5702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_in_RFC_in_seconds;compendium_views & 0.8789 & 0.8542 & 0.6822 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_in_RFC_in_seconds;compendium_views_(PR) & 0.6143 & 0.6444 & 0.479 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_in_RFC_in_seconds;shared_compendiums & 0.0938 & 0.1398 & 0.1067 \tabularnewline
p-value & (0.2636) & (0.0948) & (0.0954) \tabularnewline
time_spent_in_RFC_in_seconds;blogged_computations & 0.7833 & 0.7569 & 0.5797 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_in_RFC_in_seconds;reviewed_compendiums & 0.6645 & 0.5829 & 0.4274 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_spent_in_RFC_in_seconds;compendium_writing_total_characters & 0.7037 & 0.6503 & 0.4895 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views & 0.779 & 0.7745 & 0.6004 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_(PR) & 0.6031 & 0.6397 & 0.4782 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.0867 & 0.1785 & 0.1374 \tabularnewline
p-value & (0.3015) & (0.0323) & (0.0324) \tabularnewline
logins;blogged_computations & 0.67 & 0.7077 & 0.5291 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;reviewed_compendiums & 0.5477 & 0.482 & 0.3522 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_writing_total_characters & 0.6132 & 0.6078 & 0.4599 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views;compendium_views_(PR) & 0.7143 & 0.7444 & 0.5696 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views;shared_compendiums & 0.1776 & 0.2249 & 0.1688 \tabularnewline
p-value & (0.0333) & (0.0067) & (0.0084) \tabularnewline
compendium_views;blogged_computations & 0.7392 & 0.7098 & 0.5356 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views;reviewed_compendiums & 0.6273 & 0.5744 & 0.4239 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views;compendium_writing_total_characters & 0.6498 & 0.6241 & 0.4564 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_(PR);shared_compendiums & 0.2038 & 0.1857 & 0.1423 \tabularnewline
p-value & (0.0143) & (0.0259) & (0.0269) \tabularnewline
compendium_views_(PR);blogged_computations & 0.597 & 0.6172 & 0.4595 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_(PR);reviewed_compendiums & 0.5266 & 0.5077 & 0.3759 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_(PR);compendium_writing_total_characters & 0.4386 & 0.458 & 0.3258 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;blogged_computations & 0.0981 & 0.1314 & 0.0996 \tabularnewline
p-value & (0.2421) & (0.1164) & (0.1224) \tabularnewline
shared_compendiums;reviewed_compendiums & 0.1488 & 0.0379 & 0.0286 \tabularnewline
p-value & (0.0751) & (0.6521) & (0.6617) \tabularnewline
shared_compendiums;compendium_writing_total_characters & 0.1556 & 0.1545 & 0.118 \tabularnewline
p-value & (0.0626) & (0.0644) & (0.0655) \tabularnewline
blogged_computations;reviewed_compendiums & 0.6563 & 0.5601 & 0.4147 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendium_writing_total_characters & 0.7025 & 0.6672 & 0.5022 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewed_compendiums;compendium_writing_total_characters & 0.6177 & 0.5678 & 0.4237 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156940&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_spent_in_RFC_in_seconds[/C][C]0.8859[/C][C]0.8624[/C][C]0.6984[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.8351[/C][C]0.8078[/C][C]0.6364[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views[/C][C]0.9649[/C][C]0.9619[/C][C]0.841[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_(PR)[/C][C]0.7635[/C][C]0.7802[/C][C]0.6003[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;shared_compendiums[/C][C]0.2141[/C][C]0.2696[/C][C]0.2065[/C][/ROW]
[ROW][C]p-value[/C][C](0.01)[/C][C](0.0011)[/C][C](0.0012)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.7878[/C][C]0.774[/C][C]0.5973[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;reviewed_compendiums[/C][C]0.6672[/C][C]0.6303[/C][C]0.4702[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_writing_total_characters[/C][C]0.7004[/C][C]0.6601[/C][C]0.4962[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;logins[/C][C]0.7748[/C][C]0.738[/C][C]0.5702[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;compendium_views[/C][C]0.8789[/C][C]0.8542[/C][C]0.6822[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;compendium_views_(PR)[/C][C]0.6143[/C][C]0.6444[/C][C]0.479[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;shared_compendiums[/C][C]0.0938[/C][C]0.1398[/C][C]0.1067[/C][/ROW]
[ROW][C]p-value[/C][C](0.2636)[/C][C](0.0948)[/C][C](0.0954)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;blogged_computations[/C][C]0.7833[/C][C]0.7569[/C][C]0.5797[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;reviewed_compendiums[/C][C]0.6645[/C][C]0.5829[/C][C]0.4274[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_spent_in_RFC_in_seconds;compendium_writing_total_characters[/C][C]0.7037[/C][C]0.6503[/C][C]0.4895[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views[/C][C]0.779[/C][C]0.7745[/C][C]0.6004[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_(PR)[/C][C]0.6031[/C][C]0.6397[/C][C]0.4782[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]0.0867[/C][C]0.1785[/C][C]0.1374[/C][/ROW]
[ROW][C]p-value[/C][C](0.3015)[/C][C](0.0323)[/C][C](0.0324)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.67[/C][C]0.7077[/C][C]0.5291[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;reviewed_compendiums[/C][C]0.5477[/C][C]0.482[/C][C]0.3522[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_writing_total_characters[/C][C]0.6132[/C][C]0.6078[/C][C]0.4599[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views;compendium_views_(PR)[/C][C]0.7143[/C][C]0.7444[/C][C]0.5696[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views;shared_compendiums[/C][C]0.1776[/C][C]0.2249[/C][C]0.1688[/C][/ROW]
[ROW][C]p-value[/C][C](0.0333)[/C][C](0.0067)[/C][C](0.0084)[/C][/ROW]
[ROW][C]compendium_views;blogged_computations[/C][C]0.7392[/C][C]0.7098[/C][C]0.5356[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views;reviewed_compendiums[/C][C]0.6273[/C][C]0.5744[/C][C]0.4239[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views;compendium_writing_total_characters[/C][C]0.6498[/C][C]0.6241[/C][C]0.4564[/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]0.2038[/C][C]0.1857[/C][C]0.1423[/C][/ROW]
[ROW][C]p-value[/C][C](0.0143)[/C][C](0.0259)[/C][C](0.0269)[/C][/ROW]
[ROW][C]compendium_views_(PR);blogged_computations[/C][C]0.597[/C][C]0.6172[/C][C]0.4595[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_(PR);reviewed_compendiums[/C][C]0.5266[/C][C]0.5077[/C][C]0.3759[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_(PR);compendium_writing_total_characters[/C][C]0.4386[/C][C]0.458[/C][C]0.3258[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]0.0981[/C][C]0.1314[/C][C]0.0996[/C][/ROW]
[ROW][C]p-value[/C][C](0.2421)[/C][C](0.1164)[/C][C](0.1224)[/C][/ROW]
[ROW][C]shared_compendiums;reviewed_compendiums[/C][C]0.1488[/C][C]0.0379[/C][C]0.0286[/C][/ROW]
[ROW][C]p-value[/C][C](0.0751)[/C][C](0.6521)[/C][C](0.6617)[/C][/ROW]
[ROW][C]shared_compendiums;compendium_writing_total_characters[/C][C]0.1556[/C][C]0.1545[/C][C]0.118[/C][/ROW]
[ROW][C]p-value[/C][C](0.0626)[/C][C](0.0644)[/C][C](0.0655)[/C][/ROW]
[ROW][C]blogged_computations;reviewed_compendiums[/C][C]0.6563[/C][C]0.5601[/C][C]0.4147[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendium_writing_total_characters[/C][C]0.7025[/C][C]0.6672[/C][C]0.5022[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviewed_compendiums;compendium_writing_total_characters[/C][C]0.6177[/C][C]0.5678[/C][C]0.4237[/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=156940&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156940&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_spent_in_RFC_in_seconds0.88590.86240.6984
p-value(0)(0)(0)
pageviews;logins0.83510.80780.6364
p-value(0)(0)(0)
pageviews;compendium_views0.96490.96190.841
p-value(0)(0)(0)
pageviews;compendium_views_(PR)0.76350.78020.6003
p-value(0)(0)(0)
pageviews;shared_compendiums0.21410.26960.2065
p-value(0.01)(0.0011)(0.0012)
pageviews;blogged_computations0.78780.7740.5973
p-value(0)(0)(0)
pageviews;reviewed_compendiums0.66720.63030.4702
p-value(0)(0)(0)
pageviews;compendium_writing_total_characters0.70040.66010.4962
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;logins0.77480.7380.5702
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;compendium_views0.87890.85420.6822
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;compendium_views_(PR)0.61430.64440.479
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;shared_compendiums0.09380.13980.1067
p-value(0.2636)(0.0948)(0.0954)
time_spent_in_RFC_in_seconds;blogged_computations0.78330.75690.5797
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;reviewed_compendiums0.66450.58290.4274
p-value(0)(0)(0)
time_spent_in_RFC_in_seconds;compendium_writing_total_characters0.70370.65030.4895
p-value(0)(0)(0)
logins;compendium_views0.7790.77450.6004
p-value(0)(0)(0)
logins;compendium_views_(PR)0.60310.63970.4782
p-value(0)(0)(0)
logins;shared_compendiums0.08670.17850.1374
p-value(0.3015)(0.0323)(0.0324)
logins;blogged_computations0.670.70770.5291
p-value(0)(0)(0)
logins;reviewed_compendiums0.54770.4820.3522
p-value(0)(0)(0)
logins;compendium_writing_total_characters0.61320.60780.4599
p-value(0)(0)(0)
compendium_views;compendium_views_(PR)0.71430.74440.5696
p-value(0)(0)(0)
compendium_views;shared_compendiums0.17760.22490.1688
p-value(0.0333)(0.0067)(0.0084)
compendium_views;blogged_computations0.73920.70980.5356
p-value(0)(0)(0)
compendium_views;reviewed_compendiums0.62730.57440.4239
p-value(0)(0)(0)
compendium_views;compendium_writing_total_characters0.64980.62410.4564
p-value(0)(0)(0)
compendium_views_(PR);shared_compendiums0.20380.18570.1423
p-value(0.0143)(0.0259)(0.0269)
compendium_views_(PR);blogged_computations0.5970.61720.4595
p-value(0)(0)(0)
compendium_views_(PR);reviewed_compendiums0.52660.50770.3759
p-value(0)(0)(0)
compendium_views_(PR);compendium_writing_total_characters0.43860.4580.3258
p-value(0)(0)(0)
shared_compendiums;blogged_computations0.09810.13140.0996
p-value(0.2421)(0.1164)(0.1224)
shared_compendiums;reviewed_compendiums0.14880.03790.0286
p-value(0.0751)(0.6521)(0.6617)
shared_compendiums;compendium_writing_total_characters0.15560.15450.118
p-value(0.0626)(0.0644)(0.0655)
blogged_computations;reviewed_compendiums0.65630.56010.4147
p-value(0)(0)(0)
blogged_computations;compendium_writing_total_characters0.70250.66720.5022
p-value(0)(0)(0)
reviewed_compendiums;compendium_writing_total_characters0.61770.56780.4237
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')