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Kendall tau Correlation Matrix

Date of computation

Thu, 22 Dec 2011 08:04:20 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324559084aa4k3dbg6gdk9w6.htm/, Retrieved Fri, 03 May 2024 11:59:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159398, Retrieved Fri, 03 May 2024 11:59:00 +0000

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Estimated Impact

112

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 12:42:54] [75512e061a94450f738c2449abbaac12]
- R  D  [Kendall tau Correlation Matrix] [pearson correlation] [2011-12-22 13:03:00] [74be16979710d4c4e7c6647856088456]
-  MP       [Kendall tau Correlation Matrix] [pearson correlati...] [2011-12-22 13:04:20] [cfea828c93f35e07cca4521b1fb38047] [Current]

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Dataseries X:

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Histogram

Boxplots

1845	162687	95	48	21	20465	0
1796	201906	62	58	20	33629	1
192	7215	18	0	0	1423	0
2444	146367	97	67	27	25629	0
3567	257045	139	83	31	54002	0
6917	524450	265	136	36	151036	1
1840	188294	58	65	23	33287	1
1740	195674	60	86	30	31172	0
2078	177020	44	62	30	28113	0
3097	325899	98	71	27	57803	1
1946	121844	75	50	24	49830	2
2370	203938	72	88	30	52143	0
1883	107394	105	50	22	21055	0
3198	220751	120	79	28	47007	4
1490	172905	62	56	18	28735	4
1573	156326	88	54	22	59147	3
1807	145178	58	81	37	78950	0
1309	89171	61	13	15	13497	5
2820	172624	88	74	34	46154	0
757	32443	26	14	18	53249	0
1162	87927	62	31	15	10726	0
2818	241285	103	99	30	83700	0
1760	195820	72	38	25	40400	1
2315	146946	56	59	34	33797	1
1994	159763	89	54	21	36205	1
1806	207078	34	63	21	30165	0
2152	212394	166	66	25	58534	0
1457	201536	95	90	31	44663	0
3000	394662	121	72	31	92556	0
2236	217892	46	61	20	40078	0
1684	182286	44	61	28	34711	0
1626	181740	47	61	22	31076	2
2257	137978	107	53	17	74608	4
3373	255929	130	118	25	58092	0
2571	236489	55	73	25	42009	1
1	0	1	0	0	0	0
2142	230761	64	54	31	36022	0
1878	132807	54	54	14	23333	3
2190	157118	49	46	35	53349	9
2186	253254	68	83	34	92596	0
2532	269329	71	106	22	49598	2
1823	161273	61	44	34	44093	0
1095	107181	33	27	23	84205	2
2162	195891	79	64	24	63369	1
1365	139667	51	71	26	60132	2
1244	171101	98	44	23	37403	2
756	81407	33	23	35	24460	1
2417	247563	104	78	24	46456	0
2327	239807	90	60	31	66616	1
2786	172743	59	73	30	41554	8
658	48188	28	12	22	22346	0
2012	169355	70	104	23	30874	0
2602	315622	76	83	27	68701	0
2071	241518	79	57	30	35728	0
1911	195583	59	67	33	29010	1
1775	159913	57	44	12	23110	8
1918	220241	69	53	26	38844	0
1046	101694	25	26	26	27084	1
1190	157258	68	67	23	35139	0
2890	202536	99	36	38	57476	10
1836	173505	64	56	32	33277	6
2254	150518	83	52	21	31141	0
1392	141491	64	54	22	61281	11
1325	125612	38	57	26	25820	3
1317	166049	36	27	28	23284	0
1525	124197	42	58	33	35378	0
2335	195043	71	76	36	74990	8
2897	138708	65	93	25	29653	2
1118	116552	40	59	25	64622	0
340	31970	15	5	21	4157	0
2977	258158	115	57	19	29245	3
1449	151184	78	42	12	50008	1
1550	135926	68	88	30	52338	2
1684	119629	72	53	21	13310	1
2728	171518	71	81	39	92901	0
1574	108949	45	35	32	10956	2
2413	183471	60	102	28	34241	1
2563	159966	98	71	29	75043	0
1079	93786	34	28	21	21152	0
1235	84971	72	34	31	42249	0
980	88882	76	54	26	42005	0
2246	304603	65	49	29	41152	0
1076	75101	30	30	23	14399	1
1637	145043	40	57	25	28263	0
1208	95827	48	54	22	17215	0
1865	173924	58	38	26	48140	0
2726	241957	237	63	33	62897	0
1208	115367	115	58	24	22883	0
1419	118408	64	46	24	41622	7
1609	164078	53	46	21	40715	0
1864	158931	41	51	28	65897	5
2412	184139	82	87	28	76542	1
1238	152856	58	39	25	37477	0
1462	144014	59	28	15	53216	0
973	62535	42	26	13	40911	0
2319	245196	117	52	36	57021	0
1890	199841	71	96	27	73116	0
223	19349	12	13	1	3895	0
2526	247280	108	43	24	46609	3
2072	159408	83	42	31	29351	0
778	72128	30	30	4	2325	0
1194	104253	26	59	21	31747	0
1424	151090	57	73	27	32665	0
1327	137382	65	39	23	19249	1
839	87448	42	36	12	15292	1
596	27676	22	2	16	5842	0
1671	165507	50	102	29	33994	0
1167	132148	37	30	26	13018	1
0	0	0	0	0	0	0
1106	95778	34	46	25	98177	0
1148	109001	67	25	21	37941	0
1485	158833	46	59	24	31032	0
1526	147690	63	60	21	32683	1
962	89887	63	36	21	34545	0
78	3616	5	0	0	0	0
0	0	0	0	0	0	0
1184	199005	45	45	23	27525	0
1671	160930	92	79	33	66856	0
2142	177948	102	30	32	28549	2
1015	136061	39	43	23	38610	0
778	43410	19	7	1	2781	0
1856	184277	74	80	29	41211	1
1056	108858	43	32	20	22698	0
2234	141744	58	81	33	41194	8
731	60493	40	3	12	32689	3
285	19764	12	10	2	5752	1
1872	177559	56	47	21	26757	3
1181	140281	35	35	28	22527	0
1725	164249	54	54	35	44810	0
256	11796	9	1	2	0	0
98	10674	9	0	0	0	0
1435	151322	59	46	18	100674	0
41	6836	3	0	1	0	0
1930	174712	67	51	21	57786	6
42	5118	3	5	0	0	0
528	40248	16	8	4	5444	1
0	0	0	0	0	0	0
1121	127628	50	38	29	28470	0
1305	88837	38	21	26	61849	0
81	7131	4	0	0	0	1
262	9056	15	0	4	2179	0
1099	87957	26	18	19	8019	1
1290	144470	53	53	22	39644	0
1248	111408	20	17	22	23494	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	12 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 & 12 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159398&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159398&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	12 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Correlations for all pairs of data series (method=pearson)
	Pageviews	Time_in_RFC	#Logins	blogs	reviews	Characters	Shared
Pageviews	1	0.892	0.817	0.794	0.675	0.686	0.2
Time_in_RFC	0.892	1	0.759	0.776	0.672	0.678	0.095
#Logins	0.817	0.759	1	0.639	0.547	0.617	0.083
blogs	0.794	0.776	0.639	1	0.678	0.641	0.074
reviews	0.675	0.672	0.547	0.678	1	0.616	0.148
Characters	0.686	0.678	0.617	0.641	0.616	1	0.136
Shared	0.2	0.095	0.083	0.074	0.148	0.136	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Pageviews & Time_in_RFC & #Logins & blogs & reviews & Characters & Shared \tabularnewline
Pageviews & 1 & 0.892 & 0.817 & 0.794 & 0.675 & 0.686 & 0.2 \tabularnewline
Time_in_RFC & 0.892 & 1 & 0.759 & 0.776 & 0.672 & 0.678 & 0.095 \tabularnewline
#Logins & 0.817 & 0.759 & 1 & 0.639 & 0.547 & 0.617 & 0.083 \tabularnewline
blogs & 0.794 & 0.776 & 0.639 & 1 & 0.678 & 0.641 & 0.074 \tabularnewline
reviews & 0.675 & 0.672 & 0.547 & 0.678 & 1 & 0.616 & 0.148 \tabularnewline
Characters & 0.686 & 0.678 & 0.617 & 0.641 & 0.616 & 1 & 0.136 \tabularnewline
Shared & 0.2 & 0.095 & 0.083 & 0.074 & 0.148 & 0.136 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159398&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]Characters[/C][C]Shared[/C][/ROW]
[ROW][C]Pageviews[/C][C]1[/C][C]0.892[/C][C]0.817[/C][C]0.794[/C][C]0.675[/C][C]0.686[/C][C]0.2[/C][/ROW]
[ROW][C]Time_in_RFC[/C][C]0.892[/C][C]1[/C][C]0.759[/C][C]0.776[/C][C]0.672[/C][C]0.678[/C][C]0.095[/C][/ROW]
[ROW][C]#Logins[/C][C]0.817[/C][C]0.759[/C][C]1[/C][C]0.639[/C][C]0.547[/C][C]0.617[/C][C]0.083[/C][/ROW]
[ROW][C]blogs[/C][C]0.794[/C][C]0.776[/C][C]0.639[/C][C]1[/C][C]0.678[/C][C]0.641[/C][C]0.074[/C][/ROW]
[ROW][C]reviews[/C][C]0.675[/C][C]0.672[/C][C]0.547[/C][C]0.678[/C][C]1[/C][C]0.616[/C][C]0.148[/C][/ROW]
[ROW][C]Characters[/C][C]0.686[/C][C]0.678[/C][C]0.617[/C][C]0.641[/C][C]0.616[/C][C]1[/C][C]0.136[/C][/ROW]
[ROW][C]Shared[/C][C]0.2[/C][C]0.095[/C][C]0.083[/C][C]0.074[/C][C]0.148[/C][C]0.136[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159398&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)
	Pageviews	Time_in_RFC	#Logins	blogs	reviews	Characters	Shared
Pageviews	1	0.892	0.817	0.794	0.675	0.686	0.2
Time_in_RFC	0.892	1	0.759	0.776	0.672	0.678	0.095
#Logins	0.817	0.759	1	0.639	0.547	0.617	0.083
blogs	0.794	0.776	0.639	1	0.678	0.641	0.074
reviews	0.675	0.672	0.547	0.678	1	0.616	0.148
Characters	0.686	0.678	0.617	0.641	0.616	1	0.136
Shared	0.2	0.095	0.083	0.074	0.148	0.136	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Pageviews;Time_in_RFC	0.8923	0.857	0.6981
p-value	(0)	(0)	(0)
Pageviews;#Logins	0.8175	0.7798	0.6144
p-value	(0)	(0)	(0)
Pageviews;blogs	0.794	0.7667	0.5907
p-value	(0)	(0)	(0)
Pageviews;reviews	0.6751	0.6168	0.4586
p-value	(0)	(0)	(0)
Pageviews;Characters	0.686	0.6197	0.4602
p-value	(0)	(0)	(0)
Pageviews;Shared	0.2004	0.238	0.1814
p-value	(0.016)	(0.0041)	(0.0044)
Time_in_RFC;#Logins	0.7591	0.7132	0.5482
p-value	(0)	(0)	(0)
Time_in_RFC;blogs	0.7757	0.7402	0.5626
p-value	(0)	(0)	(0)
Time_in_RFC;reviews	0.6719	0.5807	0.4317
p-value	(0)	(0)	(0)
Time_in_RFC;Characters	0.6783	0.6097	0.4552
p-value	(0)	(0)	(0)
Time_in_RFC;Shared	0.0945	0.1187	0.0899
p-value	(0.2598)	(0.1566)	(0.1582)
#Logins;blogs	0.6393	0.6325	0.4712
p-value	(0)	(0)	(0)
#Logins;reviews	0.5471	0.4877	0.3596
p-value	(0)	(0)	(0)
#Logins;Characters	0.6171	0.6057	0.4606
p-value	(0)	(0)	(0)
#Logins;Shared	0.0829	0.1496	0.115
p-value	(0.3233)	(0.0736)	(0.0722)
blogs;reviews	0.6781	0.5986	0.4433
p-value	(0)	(0)	(0)
blogs;Characters	0.6408	0.6077	0.448
p-value	(0)	(0)	(0)
blogs;Shared	0.0743	0.0763	0.0585
p-value	(0.3763)	(0.3634)	(0.3614)
reviews;Characters	0.6163	0.5685	0.4267
p-value	(0)	(0)	(0)
reviews;Shared	0.1485	0.0445	0.0331
p-value	(0.0757)	(0.5968)	(0.6106)
Characters;Shared	0.1364	0.111	0.0855
p-value	(0.1032)	(0.1854)	(0.1804)

\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 & 0.8923 & 0.857 & 0.6981 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;#Logins & 0.8175 & 0.7798 & 0.6144 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;blogs & 0.794 & 0.7667 & 0.5907 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;reviews & 0.6751 & 0.6168 & 0.4586 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Characters & 0.686 & 0.6197 & 0.4602 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Shared & 0.2004 & 0.238 & 0.1814 \tabularnewline
p-value & (0.016) & (0.0041) & (0.0044) \tabularnewline
Time_in_RFC;#Logins & 0.7591 & 0.7132 & 0.5482 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;blogs & 0.7757 & 0.7402 & 0.5626 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;reviews & 0.6719 & 0.5807 & 0.4317 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Characters & 0.6783 & 0.6097 & 0.4552 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Shared & 0.0945 & 0.1187 & 0.0899 \tabularnewline
p-value & (0.2598) & (0.1566) & (0.1582) \tabularnewline
#Logins;blogs & 0.6393 & 0.6325 & 0.4712 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;reviews & 0.5471 & 0.4877 & 0.3596 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Characters & 0.6171 & 0.6057 & 0.4606 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Shared & 0.0829 & 0.1496 & 0.115 \tabularnewline
p-value & (0.3233) & (0.0736) & (0.0722) \tabularnewline
blogs;reviews & 0.6781 & 0.5986 & 0.4433 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Characters & 0.6408 & 0.6077 & 0.448 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Shared & 0.0743 & 0.0763 & 0.0585 \tabularnewline
p-value & (0.3763) & (0.3634) & (0.3614) \tabularnewline
reviews;Characters & 0.6163 & 0.5685 & 0.4267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;Shared & 0.1485 & 0.0445 & 0.0331 \tabularnewline
p-value & (0.0757) & (0.5968) & (0.6106) \tabularnewline
Characters;Shared & 0.1364 & 0.111 & 0.0855 \tabularnewline
p-value & (0.1032) & (0.1854) & (0.1804) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159398&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]0.8923[/C][C]0.857[/C][C]0.6981[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;#Logins[/C][C]0.8175[/C][C]0.7798[/C][C]0.6144[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;blogs[/C][C]0.794[/C][C]0.7667[/C][C]0.5907[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;reviews[/C][C]0.6751[/C][C]0.6168[/C][C]0.4586[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Characters[/C][C]0.686[/C][C]0.6197[/C][C]0.4602[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Shared[/C][C]0.2004[/C][C]0.238[/C][C]0.1814[/C][/ROW]
[ROW][C]p-value[/C][C](0.016)[/C][C](0.0041)[/C][C](0.0044)[/C][/ROW]
[ROW][C]Time_in_RFC;#Logins[/C][C]0.7591[/C][C]0.7132[/C][C]0.5482[/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]0.7757[/C][C]0.7402[/C][C]0.5626[/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]0.6719[/C][C]0.5807[/C][C]0.4317[/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]0.6783[/C][C]0.6097[/C][C]0.4552[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;Shared[/C][C]0.0945[/C][C]0.1187[/C][C]0.0899[/C][/ROW]
[ROW][C]p-value[/C][C](0.2598)[/C][C](0.1566)[/C][C](0.1582)[/C][/ROW]
[ROW][C]#Logins;blogs[/C][C]0.6393[/C][C]0.6325[/C][C]0.4712[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;reviews[/C][C]0.5471[/C][C]0.4877[/C][C]0.3596[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;Characters[/C][C]0.6171[/C][C]0.6057[/C][C]0.4606[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;Shared[/C][C]0.0829[/C][C]0.1496[/C][C]0.115[/C][/ROW]
[ROW][C]p-value[/C][C](0.3233)[/C][C](0.0736)[/C][C](0.0722)[/C][/ROW]
[ROW][C]blogs;reviews[/C][C]0.6781[/C][C]0.5986[/C][C]0.4433[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;Characters[/C][C]0.6408[/C][C]0.6077[/C][C]0.448[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;Shared[/C][C]0.0743[/C][C]0.0763[/C][C]0.0585[/C][/ROW]
[ROW][C]p-value[/C][C](0.3763)[/C][C](0.3634)[/C][C](0.3614)[/C][/ROW]
[ROW][C]reviews;Characters[/C][C]0.6163[/C][C]0.5685[/C][C]0.4267[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;Shared[/C][C]0.1485[/C][C]0.0445[/C][C]0.0331[/C][/ROW]
[ROW][C]p-value[/C][C](0.0757)[/C][C](0.5968)[/C][C](0.6106)[/C][/ROW]
[ROW][C]Characters;Shared[/C][C]0.1364[/C][C]0.111[/C][C]0.0855[/C][/ROW]
[ROW][C]p-value[/C][C](0.1032)[/C][C](0.1854)[/C][C](0.1804)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159398&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159398&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
pair	Pearson r	Spearman rho	Kendall tau
Pageviews;Time_in_RFC	0.8923	0.857	0.6981
p-value	(0)	(0)	(0)
Pageviews;#Logins	0.8175	0.7798	0.6144
p-value	(0)	(0)	(0)
Pageviews;blogs	0.794	0.7667	0.5907
p-value	(0)	(0)	(0)
Pageviews;reviews	0.6751	0.6168	0.4586
p-value	(0)	(0)	(0)
Pageviews;Characters	0.686	0.6197	0.4602
p-value	(0)	(0)	(0)
Pageviews;Shared	0.2004	0.238	0.1814
p-value	(0.016)	(0.0041)	(0.0044)
Time_in_RFC;#Logins	0.7591	0.7132	0.5482
p-value	(0)	(0)	(0)
Time_in_RFC;blogs	0.7757	0.7402	0.5626
p-value	(0)	(0)	(0)
Time_in_RFC;reviews	0.6719	0.5807	0.4317
p-value	(0)	(0)	(0)
Time_in_RFC;Characters	0.6783	0.6097	0.4552
p-value	(0)	(0)	(0)
Time_in_RFC;Shared	0.0945	0.1187	0.0899
p-value	(0.2598)	(0.1566)	(0.1582)
#Logins;blogs	0.6393	0.6325	0.4712
p-value	(0)	(0)	(0)
#Logins;reviews	0.5471	0.4877	0.3596
p-value	(0)	(0)	(0)
#Logins;Characters	0.6171	0.6057	0.4606
p-value	(0)	(0)	(0)
#Logins;Shared	0.0829	0.1496	0.115
p-value	(0.3233)	(0.0736)	(0.0722)
blogs;reviews	0.6781	0.5986	0.4433
p-value	(0)	(0)	(0)
blogs;Characters	0.6408	0.6077	0.448
p-value	(0)	(0)	(0)
blogs;Shared	0.0743	0.0763	0.0585
p-value	(0.3763)	(0.3634)	(0.3614)
reviews;Characters	0.6163	0.5685	0.4267
p-value	(0)	(0)	(0)
reviews;Shared	0.1485	0.0445	0.0331
p-value	(0.0757)	(0.5968)	(0.6106)
Characters;Shared	0.1364	0.111	0.0855
p-value	(0.1032)	(0.1854)	(0.1804)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = FALSE ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;

Parameters (R input):

par1 = pearson ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code