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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 computationThu, 15 Dec 2011 09:05:17 -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/15/t13239579420i0wmju8lbhg2pr.htm/, Retrieved Wed, 08 May 2024 04:26:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155416, Retrieved Wed, 08 May 2024 04:26:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [pearson correlati...] [2011-12-15 14:05:17] [c38c32477296496b546025b407c5c736] [Current]
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Dataseries X:
1575	129988	81	505	109	0	20
1134	130358	46	329	68	1	38
192	7215	18	72	1	0	0
2044	112976	87	588	146	0	49
3283	219904	126	1100	124	0	76
5877	402036	218	1618	267	1	104
1322	117604	50	442	83	1	37
1225	131822	50	333	48	0	57
1463	99729	38	406	87	0	42
2671	269088	87	858	129	1	67
1810	113066	69	568	146	2	50
1915	165392	62	595	113	0	66
1452	78240	90	534	60	0	38
2415	152673	84	818	240	4	48
1254	134368	47	359	50	4	42
1375	125769	68	419	81	3	47
1504	123467	50	364	85	0	71
1016	57396	49	290	64	5	0
2222	108458	79	683	127	0	50
634	22762	21	188	44	0	12
849	48633	50	291	37	0	16
2189	182081	83	640	94	0	77
1520	149502	61	542	127	0	32
1791	93773	46	532	159	1	38
1751	133428	79	549	41	1	50
1180	113933	23	428	153	0	33
1750	153851	140	561	86	0	49
1101	140711	75	266	55	0	59
2398	303863	106	785	78	0	55
1826	163810	38	754	84	0	42
1410	134521	41	411	71	0	47
1433	157640	39	482	111	2	51
1893	103274	90	593	82	4	45
2525	193500	105	760	254	0	73
2033	178768	43	668	66	1	51
1	0	1	0	0	0	0
1817	181412	55	855	58	0	46
1506	92342	47	464	131	3	44
1924	115762	42	453	261	9	33
1649	178277	50	607	56	0	71
1672	145067	58	540	90	2	61
1433	114146	50	551	57	0	28
866	86039	26	310	35	2	21
1683	125481	66	647	53	1	42
1024	95535	42	321	46	2	44
1029	129221	78	262	38	2	40
629	61554	26	180	45	1	15
1693	170811	83	587	114	0	46
1715	159121	75	544	104	1	43
2248	137317	52	809	151	4	57
658	48188	28	205	37	0	12
1234	95461	56	317	49	0	46
2157	249356	65	734	83	0	60
1725	191094	68	590	67	0	47
1504	161082	51	546	39	1	50
1454	111388	47	443	69	6	35
1620	172614	58	429	58	0	45
733	63205	18	205	68	0	25
894	109102	56	310	30	0	47
2355	137519	75	788	54	10	28
1514	125777	51	438	65	6	48
1636	88650	66	605	81	0	32
1123	95845	50	318	84	11	28
897	83419	29	288	45	3	31
855	101723	25	285	52	0	13
1229	94982	37	391	36	0	38
2012	145568	62	453	80	8	49
2393	113325	63	715	144	2	68
878	87133	33	219	48	0	36
340	31970	15	101	40	0	5
2480	194516	103	875	126	3	53
1071	98324	56	321	75	1	36
1091	80820	56	360	54	2	54
1425	89141	60	429	84	1	37
2227	118147	55	568	89	0	52
1082	56544	32	292	62	2	0
1790	118838	52	499	105	1	52
2072	118781	80	690	63	0	51
816	60138	23	253	76	0	16
1121	73422	66	366	92	0	33
834	70248	60	201	45	0	48
1766	225857	54	652	57	0	35
751	51185	24	221	44	0	24
1309	97181	32	438	132	0	37
732	45100	39	247	44	0	17
1327	115801	43	388	67	0	32
2246	186310	190	541	82	0	55
968	71960	86	233	71	0	39
1015	80105	48	333	44	5	31
1149	110416	43	440	72	0	26
1301	98707	34	452	54	4	37
1982	136234	67	584	86	1	66
1091	136781	52	366	59	0	35
1162	116132	54	433	74	0	24
759	49164	33	291	30	0	22
1980	189493	93	632	156	0	42
1608	169406	50	491	87	0	86
223	19349	12	67	15	0	13
1810	160902	88	617	104	1	21
1466	109510	53	597	54	0	32
553	43803	25	240	11	0	8
708	47062	19	219	37	0	38
1079	110845	44	349	80	0	45
957	92517	52	241	66	1	24
585	58660	36	136	27	0	23
596	27676	22	194	59	0	2
981	98550	33	222	113	0	52
585	43646	24	153	24	0	5
0	0	0	0	0	0	0
975	75566	28	281	58	0	43
751	57359	49	240	43	0	18
1071	104330	36	358	45	0	44
931	70369	47	302	55	0	45
783	65494	56	267	66	0	29
78	3616	5	14	5	0	0
0	0	0	0	0	0	0
874	143931	37	287	67	0	32
1327	117946	66	476	67	0	65
1831	137332	85	519	118	1	26
750	84336	33	243	51	0	24
778	43410	19	292	63	0	7
1442	139695	61	430	88	1	62
807	79015	34	217	35	0	30
1613	106116	47	466	58	8	54
685	57586	38	160	29	3	3
285	19764	12	75	19	1	10
1418	112195	43	442	51	2	46
954	103651	25	332	64	0	23
1283	113402	35	417	96	0	40
256	11796	9	79	22	0	1
81	7627	9	25	7	0	0
1215	121085	50	431	34	0	29
41	6836	3	11	5	0	0
1634	139563	46	564	43	5	46
42	5118	3	6	1	0	5
528	40248	16	183	34	1	8
0	0	0	0	0	0	0
890	95079	42	295	49	0	21
1203	80763	32	230	44	0	21
81	7131	4	27	0	1	0
61	4194	11	14	4	0	0
849	60378	20	240	40	1	15
1035	109173	44	251	52	0	47
964	83484	16	347	47	0	17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155416&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155416&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155416&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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net







Correlations for all pairs of data series (method=pearson)
pageviewstijdloginscompendiumviewsviewsPRsharedcompblogdcomp
pageviews10.8820.8340.9650.7610.2090.789
tijd0.88210.7680.8770.6170.0880.794
logins0.8340.76810.7810.5980.0810.679
compendiumviews0.9650.8770.78110.710.1650.749
viewsPR0.7610.6170.5980.7110.2010.585
sharedcomp0.2090.0880.0810.1650.20110.078
blogdcomp0.7890.7940.6790.7490.5850.0781

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & tijd & logins & compendiumviews & viewsPR & sharedcomp & blogdcomp \tabularnewline
pageviews & 1 & 0.882 & 0.834 & 0.965 & 0.761 & 0.209 & 0.789 \tabularnewline
tijd & 0.882 & 1 & 0.768 & 0.877 & 0.617 & 0.088 & 0.794 \tabularnewline
logins & 0.834 & 0.768 & 1 & 0.781 & 0.598 & 0.081 & 0.679 \tabularnewline
compendiumviews & 0.965 & 0.877 & 0.781 & 1 & 0.71 & 0.165 & 0.749 \tabularnewline
viewsPR & 0.761 & 0.617 & 0.598 & 0.71 & 1 & 0.201 & 0.585 \tabularnewline
sharedcomp & 0.209 & 0.088 & 0.081 & 0.165 & 0.201 & 1 & 0.078 \tabularnewline
blogdcomp & 0.789 & 0.794 & 0.679 & 0.749 & 0.585 & 0.078 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155416&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]tijd[/C][C]logins[/C][C]compendiumviews[/C][C]viewsPR[/C][C]sharedcomp[/C][C]blogdcomp[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.882[/C][C]0.834[/C][C]0.965[/C][C]0.761[/C][C]0.209[/C][C]0.789[/C][/ROW]
[ROW][C]tijd[/C][C]0.882[/C][C]1[/C][C]0.768[/C][C]0.877[/C][C]0.617[/C][C]0.088[/C][C]0.794[/C][/ROW]
[ROW][C]logins[/C][C]0.834[/C][C]0.768[/C][C]1[/C][C]0.781[/C][C]0.598[/C][C]0.081[/C][C]0.679[/C][/ROW]
[ROW][C]compendiumviews[/C][C]0.965[/C][C]0.877[/C][C]0.781[/C][C]1[/C][C]0.71[/C][C]0.165[/C][C]0.749[/C][/ROW]
[ROW][C]viewsPR[/C][C]0.761[/C][C]0.617[/C][C]0.598[/C][C]0.71[/C][C]1[/C][C]0.201[/C][C]0.585[/C][/ROW]
[ROW][C]sharedcomp[/C][C]0.209[/C][C]0.088[/C][C]0.081[/C][C]0.165[/C][C]0.201[/C][C]1[/C][C]0.078[/C][/ROW]
[ROW][C]blogdcomp[/C][C]0.789[/C][C]0.794[/C][C]0.679[/C][C]0.749[/C][C]0.585[/C][C]0.078[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155416&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155416&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)
pageviewstijdloginscompendiumviewsviewsPRsharedcompblogdcomp
pageviews10.8820.8340.9650.7610.2090.789
tijd0.88210.7680.8770.6170.0880.794
logins0.8340.76810.7810.5980.0810.679
compendiumviews0.9650.8770.78110.710.1650.749
viewsPR0.7610.6170.5980.7110.2010.585
sharedcomp0.2090.0880.0810.1650.20110.078
blogdcomp0.7890.7940.6790.7490.5850.0781







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;tijd0.88240.86490.7007
p-value(0)(0)(0)
pageviews;logins0.83420.8070.6358
p-value(0)(0)(0)
pageviews;compendiumviews0.96460.9610.8392
p-value(0)(0)(0)
pageviews;viewsPR0.76090.77320.5962
p-value(0)(0)(0)
pageviews;sharedcomp0.20870.28790.2185
p-value(0.0121)(5e-04)(7e-04)
pageviews;blogdcomp0.78930.77670.6025
p-value(0)(0)(0)
tijd;logins0.76810.73950.5698
p-value(0)(0)(0)
tijd;compendiumviews0.87750.8480.6768
p-value(0)(0)(0)
tijd;viewsPR0.6170.65510.4899
p-value(0)(0)(0)
tijd;sharedcomp0.08790.17360.1294
p-value(0.295)(0.0374)(0.0436)
tijd;blogdcomp0.79360.77190.5952
p-value(0)(0)(0)
logins;compendiumviews0.78140.77430.6011
p-value(0)(0)(0)
logins;viewsPR0.59830.63280.4742
p-value(0)(0)(0)
logins;sharedcomp0.08140.18930.1436
p-value(0.3323)(0.0231)(0.0259)
logins;blogdcomp0.67880.69780.5246
p-value(0)(0)(0)
compendiumviews;viewsPR0.71010.72280.55
p-value(0)(0)(0)
compendiumviews;sharedcomp0.16510.24330.1818
p-value(0.048)(0.0033)(0.0046)
compendiumviews;blogdcomp0.74870.71670.5415
p-value(0)(0)(0)
viewsPR;sharedcomp0.20090.18270.1427
p-value(0.0158)(0.0284)(0.0265)
viewsPR;blogdcomp0.5850.60750.4482
p-value(0)(0)(0)
sharedcomp;blogdcomp0.07790.16010.1202
p-value(0.3535)(0.0553)(0.0631)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
pageviews;tijd & 0.8824 & 0.8649 & 0.7007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.8342 & 0.807 & 0.6358 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendiumviews & 0.9646 & 0.961 & 0.8392 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;viewsPR & 0.7609 & 0.7732 & 0.5962 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;sharedcomp & 0.2087 & 0.2879 & 0.2185 \tabularnewline
p-value & (0.0121) & (5e-04) & (7e-04) \tabularnewline
pageviews;blogdcomp & 0.7893 & 0.7767 & 0.6025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;logins & 0.7681 & 0.7395 & 0.5698 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;compendiumviews & 0.8775 & 0.848 & 0.6768 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;viewsPR & 0.617 & 0.6551 & 0.4899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;sharedcomp & 0.0879 & 0.1736 & 0.1294 \tabularnewline
p-value & (0.295) & (0.0374) & (0.0436) \tabularnewline
tijd;blogdcomp & 0.7936 & 0.7719 & 0.5952 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiumviews & 0.7814 & 0.7743 & 0.6011 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;viewsPR & 0.5983 & 0.6328 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;sharedcomp & 0.0814 & 0.1893 & 0.1436 \tabularnewline
p-value & (0.3323) & (0.0231) & (0.0259) \tabularnewline
logins;blogdcomp & 0.6788 & 0.6978 & 0.5246 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiumviews;viewsPR & 0.7101 & 0.7228 & 0.55 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiumviews;sharedcomp & 0.1651 & 0.2433 & 0.1818 \tabularnewline
p-value & (0.048) & (0.0033) & (0.0046) \tabularnewline
compendiumviews;blogdcomp & 0.7487 & 0.7167 & 0.5415 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
viewsPR;sharedcomp & 0.2009 & 0.1827 & 0.1427 \tabularnewline
p-value & (0.0158) & (0.0284) & (0.0265) \tabularnewline
viewsPR;blogdcomp & 0.585 & 0.6075 & 0.4482 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sharedcomp;blogdcomp & 0.0779 & 0.1601 & 0.1202 \tabularnewline
p-value & (0.3535) & (0.0553) & (0.0631) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155416&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;tijd[/C][C]0.8824[/C][C]0.8649[/C][C]0.7007[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.8342[/C][C]0.807[/C][C]0.6358[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendiumviews[/C][C]0.9646[/C][C]0.961[/C][C]0.8392[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;viewsPR[/C][C]0.7609[/C][C]0.7732[/C][C]0.5962[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;sharedcomp[/C][C]0.2087[/C][C]0.2879[/C][C]0.2185[/C][/ROW]
[ROW][C]p-value[/C][C](0.0121)[/C][C](5e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]pageviews;blogdcomp[/C][C]0.7893[/C][C]0.7767[/C][C]0.6025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;logins[/C][C]0.7681[/C][C]0.7395[/C][C]0.5698[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;compendiumviews[/C][C]0.8775[/C][C]0.848[/C][C]0.6768[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;viewsPR[/C][C]0.617[/C][C]0.6551[/C][C]0.4899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;sharedcomp[/C][C]0.0879[/C][C]0.1736[/C][C]0.1294[/C][/ROW]
[ROW][C]p-value[/C][C](0.295)[/C][C](0.0374)[/C][C](0.0436)[/C][/ROW]
[ROW][C]tijd;blogdcomp[/C][C]0.7936[/C][C]0.7719[/C][C]0.5952[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiumviews[/C][C]0.7814[/C][C]0.7743[/C][C]0.6011[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;viewsPR[/C][C]0.5983[/C][C]0.6328[/C][C]0.4742[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;sharedcomp[/C][C]0.0814[/C][C]0.1893[/C][C]0.1436[/C][/ROW]
[ROW][C]p-value[/C][C](0.3323)[/C][C](0.0231)[/C][C](0.0259)[/C][/ROW]
[ROW][C]logins;blogdcomp[/C][C]0.6788[/C][C]0.6978[/C][C]0.5246[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiumviews;viewsPR[/C][C]0.7101[/C][C]0.7228[/C][C]0.55[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiumviews;sharedcomp[/C][C]0.1651[/C][C]0.2433[/C][C]0.1818[/C][/ROW]
[ROW][C]p-value[/C][C](0.048)[/C][C](0.0033)[/C][C](0.0046)[/C][/ROW]
[ROW][C]compendiumviews;blogdcomp[/C][C]0.7487[/C][C]0.7167[/C][C]0.5415[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]viewsPR;sharedcomp[/C][C]0.2009[/C][C]0.1827[/C][C]0.1427[/C][/ROW]
[ROW][C]p-value[/C][C](0.0158)[/C][C](0.0284)[/C][C](0.0265)[/C][/ROW]
[ROW][C]viewsPR;blogdcomp[/C][C]0.585[/C][C]0.6075[/C][C]0.4482[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sharedcomp;blogdcomp[/C][C]0.0779[/C][C]0.1601[/C][C]0.1202[/C][/ROW]
[ROW][C]p-value[/C][C](0.3535)[/C][C](0.0553)[/C][C](0.0631)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155416&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155416&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;tijd0.88240.86490.7007
p-value(0)(0)(0)
pageviews;logins0.83420.8070.6358
p-value(0)(0)(0)
pageviews;compendiumviews0.96460.9610.8392
p-value(0)(0)(0)
pageviews;viewsPR0.76090.77320.5962
p-value(0)(0)(0)
pageviews;sharedcomp0.20870.28790.2185
p-value(0.0121)(5e-04)(7e-04)
pageviews;blogdcomp0.78930.77670.6025
p-value(0)(0)(0)
tijd;logins0.76810.73950.5698
p-value(0)(0)(0)
tijd;compendiumviews0.87750.8480.6768
p-value(0)(0)(0)
tijd;viewsPR0.6170.65510.4899
p-value(0)(0)(0)
tijd;sharedcomp0.08790.17360.1294
p-value(0.295)(0.0374)(0.0436)
tijd;blogdcomp0.79360.77190.5952
p-value(0)(0)(0)
logins;compendiumviews0.78140.77430.6011
p-value(0)(0)(0)
logins;viewsPR0.59830.63280.4742
p-value(0)(0)(0)
logins;sharedcomp0.08140.18930.1436
p-value(0.3323)(0.0231)(0.0259)
logins;blogdcomp0.67880.69780.5246
p-value(0)(0)(0)
compendiumviews;viewsPR0.71010.72280.55
p-value(0)(0)(0)
compendiumviews;sharedcomp0.16510.24330.1818
p-value(0.048)(0.0033)(0.0046)
compendiumviews;blogdcomp0.74870.71670.5415
p-value(0)(0)(0)
viewsPR;sharedcomp0.20090.18270.1427
p-value(0.0158)(0.0284)(0.0265)
viewsPR;blogdcomp0.5850.60750.4482
p-value(0)(0)(0)
sharedcomp;blogdcomp0.07790.16010.1202
p-value(0.3535)(0.0553)(0.0631)



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')