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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 15 Dec 2011 13:52:13 -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/t132397579513w82zod6kz706p.htm/, Retrieved Wed, 08 May 2024 06:48:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155647, Retrieved Wed, 08 May 2024 06:48:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
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] [PEARSON] [2011-12-14 20:30:07] [298b545ca29b1a60cbb481c5dea313ae]
-    D      [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-15 18:52:13] [ccdbcd1f4b80805a70032cb1a2c4c931] [Current]
-    D        [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-22 20:39:00] [298b545ca29b1a60cbb481c5dea313ae]
-   P           [Kendall tau Correlation Matrix] [Kendall] [2011-12-22 20:42:28] [298b545ca29b1a60cbb481c5dea313ae]
- R  D          [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-23 13:51:49] [298b545ca29b1a60cbb481c5dea313ae]
- R P             [Kendall tau Correlation Matrix] [Kendall] [2011-12-23 14:36:59] [298b545ca29b1a60cbb481c5dea313ae]
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Dataseries X:
129404	20	18158	5636	22622	30	28
130358	38	30461	9079	73570	42	39
7215	0	1423	603	1929	0	0
112861	49	25629	8874	36294	54	54
219904	76	48758	17988	62378	86	80
396382	104	129230	21325	167760	157	144
117604	37	27376	8325	52443	36	36
126737	53	26706	7117	57283	48	48
99729	42	26505	7996	36614	45	42
256310	62	49801	14218	93268	77	71
113066	50	46580	6321	35439	49	49
157228	65	48352	19690	72405	77	74
69952	28	13899	5659	24044	28	27
152673	48	39342	11370	55909	84	83
130642	42	27465	4778	44689	31	31
125769	47	55211	5954	49319	28	28
123467	71	74098	22924	62075	99	98
56232	0	13497	70	2341	2	2
108330	50	38338	14369	40551	41	43
22762	12	52505	3706	11621	25	24
48554	16	10663	3147	18741	16	16
182081	77	74484	16801	84202	96	95
140857	29	28895	2162	15334	23	22
93773	38	32827	4721	28024	33	33
133398	50	36188	5290	53306	46	45
113933	33	28173	6446	37918	59	59
153851	49	54926	14711	54819	72	66
140711	59	38900	13311	89058	72	70
303804	55	88530	13577	103354	62	56
161651	40	35482	14634	70239	55	55
123344	40	26730	6931	33045	27	27
157640	51	29806	9992	63852	41	37
91279	41	41799	6185	30905	51	48
189374	73	54289	3445	24242	26	26
178768	51	36805	12327	78907	65	64
0	0	0	0	0	0	0
175403	46	33146	9898	36005	28	21
92342	44	23333	8022	31972	44	44
100023	31	47686	10765	35853	36	36
178277	71	77783	22717	115301	100	89
145062	61	36042	10090	47689	104	101
110980	28	34541	12385	34223	35	31
86039	21	75620	8513	43431	69	65
125481	42	60610	5508	52220	73	71
95535	44	55041	9628	33863	106	102
126456	40	32087	11872	46879	53	53
61554	15	16356	4186	23228	43	41
164752	46	40161	10877	42827	49	46
159121	43	55459	17066	65765	38	37
129362	47	36679	9175	38167	51	51
48188	12	22346	2102	14812	14	14
95461	46	27377	10807	32615	40	40
229864	56	50273	13662	82188	79	77
191094	47	32104	9224	51763	52	51
150640	48	27016	9001	59325	44	43
111388	35	19715	7204	48976	34	33
165098	44	33629	6572	43384	47	47
63205	25	27084	7509	26692	32	31
109102	47	32352	12920	53279	31	31
137303	28	51845	5438	20652	40	40
125304	48	26591	11489	38338	42	42
85332	32	29677	6661	36735	34	35
95808	28	54237	7941	42764	40	40
83419	31	20284	6173	44331	35	30
101723	13	22741	5562	41354	11	11
94982	38	34178	9492	47879	43	41
129700	39	69551	17456	103793	53	53
113325	68	29653	9422	52235	82	82
81518	32	38071	10913	49825	41	41
31970	5	4157	1283	4105	6	6
192268	53	28321	6198	58687	82	81
91086	33	40195	4501	40745	47	47
80820	54	48158	9560	33187	108	100
83261	36	13310	3394	14063	46	46
116290	52	78474	9871	37407	38	38
56544	0	6386	2419	7190	0	0
116173	52	31588	10630	49562	45	45
111488	45	61254	8536	76324	57	56
60138	16	21152	4911	21928	20	18
73422	33	41272	9775	27860	56	54
67751	48	34165	11227	28078	38	37
213351	33	37054	6916	49577	42	40
51185	24	12368	3424	28145	37	37
97181	37	23168	8637	36241	36	36
45100	17	16380	3189	10824	34	34
115801	32	41242	8178	46892	53	49
186310	55	48450	16739	61264	85	82
71960	39	20790	6094	22933	36	36
80105	31	34585	7237	20787	33	33
103613	26	35672	7355	43978	57	55
98707	37	52168	9734	51305	50	50
136234	66	53933	11225	55593	71	71
136781	35	34474	6213	51648	32	31
105863	24	43753	4875	30552	45	42
38775	18	36456	8159	23470	33	31
179997	37	51183	11893	77530	53	51
169406	86	52742	10754	57299	64	64
19349	13	3895	786	9604	14	14
153069	21	37076	9706	34684	38	37
109510	32	24079	7796	41094	39	37
43803	8	2325	593	3439	8	8
47062	38	29354	5600	25171	38	38
110845	45	30341	7245	23437	24	23
92517	24	18992	7360	34086	22	22
58660	23	15292	4574	24649	18	18
27676	2	5842	522	2342	3	1
98550	52	28918	10905	45571	49	48
43646	5	3738	999	3255	5	5
0	0	0	0	0	0	0
67312	43	95352	9016	30002	47	46
57359	18	37478	5134	19360	33	33
104330	44	26839	6608	43320	44	41
70369	45	26783	8577	35513	56	57
65494	29	33392	1543	23536	49	49
3616	0	0	0	0	0	0
0	0	0	0	0	0	0
143931	32	25446	9803	54438	45	45
117946	65	59847	12140	56812	78	78
131175	26	28162	6678	33838	51	46
84336	24	33298	6420	32366	25	25
43410	7	2781	4	13	1	1
136250	62	37121	7979	55082	62	59
79015	30	22698	5141	31334	29	29
92937	49	27615	1311	16612	26	26
57586	3	32689	443	5084	4	4
19764	10	5752	2416	9927	10	10
105757	42	23164	8396	47413	43	43
97213	18	20304	5462	27389	36	36
113402	40	34409	7271	30425	43	41
11796	1	0	0	0	0	0
7627	0	0	0	0	0	0
121085	29	92538	4423	33510	33	32
6836	0	0	0	0	0	0
139563	46	46037	5331	40389	53	53
5118	5	0	0	0	0	0
40248	8	5444	775	6012	6	6
0	0	0	0	0	0	0
95079	21	23924	6676	22205	19	18
80763	21	52230	1489	17231	26	26
7131	0	0	0	0	0	0
4194	0	0	0	0	0	0
60378	15	8019	3080	11017	16	16
109173	47	34542	11409	46741	84	84
83484	17	21157	6769	39869	28	22




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=155647&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=155647&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155647&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)
timeRFCbloggedcharactersrevisionssecondsinclhyperlinksinclblogs
timeRFC10.7940.6870.7230.8540.7230.71
blogged0.79410.6940.790.7910.8350.839
characters0.6870.69410.690.7220.7210.714
revisions0.7230.790.6910.8440.7870.782
seconds0.8540.7910.7220.84410.790.78
inclhyperlinks0.7230.8350.7210.7870.7910.998
inclblogs0.710.8390.7140.7820.780.9981

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & timeRFC & blogged & characters & revisions & seconds & inclhyperlinks & inclblogs \tabularnewline
timeRFC & 1 & 0.794 & 0.687 & 0.723 & 0.854 & 0.723 & 0.71 \tabularnewline
blogged & 0.794 & 1 & 0.694 & 0.79 & 0.791 & 0.835 & 0.839 \tabularnewline
characters & 0.687 & 0.694 & 1 & 0.69 & 0.722 & 0.721 & 0.714 \tabularnewline
revisions & 0.723 & 0.79 & 0.69 & 1 & 0.844 & 0.787 & 0.782 \tabularnewline
seconds & 0.854 & 0.791 & 0.722 & 0.844 & 1 & 0.79 & 0.78 \tabularnewline
inclhyperlinks & 0.723 & 0.835 & 0.721 & 0.787 & 0.79 & 1 & 0.998 \tabularnewline
inclblogs & 0.71 & 0.839 & 0.714 & 0.782 & 0.78 & 0.998 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155647&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]timeRFC[/C][C]blogged[/C][C]characters[/C][C]revisions[/C][C]seconds[/C][C]inclhyperlinks[/C][C]inclblogs[/C][/ROW]
[ROW][C]timeRFC[/C][C]1[/C][C]0.794[/C][C]0.687[/C][C]0.723[/C][C]0.854[/C][C]0.723[/C][C]0.71[/C][/ROW]
[ROW][C]blogged[/C][C]0.794[/C][C]1[/C][C]0.694[/C][C]0.79[/C][C]0.791[/C][C]0.835[/C][C]0.839[/C][/ROW]
[ROW][C]characters[/C][C]0.687[/C][C]0.694[/C][C]1[/C][C]0.69[/C][C]0.722[/C][C]0.721[/C][C]0.714[/C][/ROW]
[ROW][C]revisions[/C][C]0.723[/C][C]0.79[/C][C]0.69[/C][C]1[/C][C]0.844[/C][C]0.787[/C][C]0.782[/C][/ROW]
[ROW][C]seconds[/C][C]0.854[/C][C]0.791[/C][C]0.722[/C][C]0.844[/C][C]1[/C][C]0.79[/C][C]0.78[/C][/ROW]
[ROW][C]inclhyperlinks[/C][C]0.723[/C][C]0.835[/C][C]0.721[/C][C]0.787[/C][C]0.79[/C][C]1[/C][C]0.998[/C][/ROW]
[ROW][C]inclblogs[/C][C]0.71[/C][C]0.839[/C][C]0.714[/C][C]0.782[/C][C]0.78[/C][C]0.998[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155647&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155647&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)
timeRFCbloggedcharactersrevisionssecondsinclhyperlinksinclblogs
timeRFC10.7940.6870.7230.8540.7230.71
blogged0.79410.6940.790.7910.8350.839
characters0.6870.69410.690.7220.7210.714
revisions0.7230.790.6910.8440.7870.782
seconds0.8540.7910.7220.84410.790.78
inclhyperlinks0.7230.8350.7210.7870.7910.998
inclblogs0.710.8390.7140.7820.780.9981







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
timeRFC;blogged0.79360.77260.5963
p-value(0)(0)(0)
timeRFC;characters0.68720.64480.4854
p-value(0)(0)(0)
timeRFC;revisions0.72270.70910.5337
p-value(0)(0)(0)
timeRFC;seconds0.85390.83450.6697
p-value(0)(0)(0)
timeRFC;inclhyperlinks0.72320.69230.5184
p-value(0)(0)(0)
timeRFC;inclblogs0.71050.68340.5121
p-value(0)(0)(0)
blogged;characters0.69350.65290.4906
p-value(0)(0)(0)
blogged;revisions0.790.76750.6013
p-value(0)(0)(0)
blogged;seconds0.79090.78550.6202
p-value(0)(0)(0)
blogged;inclhyperlinks0.83520.79290.6366
p-value(0)(0)(0)
blogged;inclblogs0.83920.79890.6452
p-value(0)(0)(0)
characters;revisions0.68960.66380.5086
p-value(0)(0)(0)
characters;seconds0.72180.6560.4973
p-value(0)(0)(0)
characters;inclhyperlinks0.7210.70350.5379
p-value(0)(0)(0)
characters;inclblogs0.71420.70610.5392
p-value(0)(0)(0)
revisions;seconds0.84390.82850.6598
p-value(0)(0)(0)
revisions;inclhyperlinks0.78740.76330.591
p-value(0)(0)(0)
revisions;inclblogs0.78220.75880.589
p-value(0)(0)(0)
seconds;inclhyperlinks0.79020.79130.6226
p-value(0)(0)(0)
seconds;inclblogs0.77970.78430.6153
p-value(0)(0)(0)
inclhyperlinks;inclblogs0.99760.99720.9724
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
timeRFC;blogged & 0.7936 & 0.7726 & 0.5963 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;characters & 0.6872 & 0.6448 & 0.4854 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;revisions & 0.7227 & 0.7091 & 0.5337 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;seconds & 0.8539 & 0.8345 & 0.6697 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;inclhyperlinks & 0.7232 & 0.6923 & 0.5184 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;inclblogs & 0.7105 & 0.6834 & 0.5121 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;characters & 0.6935 & 0.6529 & 0.4906 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;revisions & 0.79 & 0.7675 & 0.6013 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;seconds & 0.7909 & 0.7855 & 0.6202 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;inclhyperlinks & 0.8352 & 0.7929 & 0.6366 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;inclblogs & 0.8392 & 0.7989 & 0.6452 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;revisions & 0.6896 & 0.6638 & 0.5086 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;seconds & 0.7218 & 0.656 & 0.4973 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;inclhyperlinks & 0.721 & 0.7035 & 0.5379 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;inclblogs & 0.7142 & 0.7061 & 0.5392 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
revisions;seconds & 0.8439 & 0.8285 & 0.6598 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
revisions;inclhyperlinks & 0.7874 & 0.7633 & 0.591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
revisions;inclblogs & 0.7822 & 0.7588 & 0.589 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
seconds;inclhyperlinks & 0.7902 & 0.7913 & 0.6226 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
seconds;inclblogs & 0.7797 & 0.7843 & 0.6153 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
inclhyperlinks;inclblogs & 0.9976 & 0.9972 & 0.9724 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155647&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]timeRFC;blogged[/C][C]0.7936[/C][C]0.7726[/C][C]0.5963[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;characters[/C][C]0.6872[/C][C]0.6448[/C][C]0.4854[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;revisions[/C][C]0.7227[/C][C]0.7091[/C][C]0.5337[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;seconds[/C][C]0.8539[/C][C]0.8345[/C][C]0.6697[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;inclhyperlinks[/C][C]0.7232[/C][C]0.6923[/C][C]0.5184[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;inclblogs[/C][C]0.7105[/C][C]0.6834[/C][C]0.5121[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;characters[/C][C]0.6935[/C][C]0.6529[/C][C]0.4906[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;revisions[/C][C]0.79[/C][C]0.7675[/C][C]0.6013[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;seconds[/C][C]0.7909[/C][C]0.7855[/C][C]0.6202[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;inclhyperlinks[/C][C]0.8352[/C][C]0.7929[/C][C]0.6366[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;inclblogs[/C][C]0.8392[/C][C]0.7989[/C][C]0.6452[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;revisions[/C][C]0.6896[/C][C]0.6638[/C][C]0.5086[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;seconds[/C][C]0.7218[/C][C]0.656[/C][C]0.4973[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;inclhyperlinks[/C][C]0.721[/C][C]0.7035[/C][C]0.5379[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;inclblogs[/C][C]0.7142[/C][C]0.7061[/C][C]0.5392[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]revisions;seconds[/C][C]0.8439[/C][C]0.8285[/C][C]0.6598[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]revisions;inclhyperlinks[/C][C]0.7874[/C][C]0.7633[/C][C]0.591[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]revisions;inclblogs[/C][C]0.7822[/C][C]0.7588[/C][C]0.589[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]seconds;inclhyperlinks[/C][C]0.7902[/C][C]0.7913[/C][C]0.6226[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]seconds;inclblogs[/C][C]0.7797[/C][C]0.7843[/C][C]0.6153[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]inclhyperlinks;inclblogs[/C][C]0.9976[/C][C]0.9972[/C][C]0.9724[/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=155647&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155647&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
timeRFC;blogged0.79360.77260.5963
p-value(0)(0)(0)
timeRFC;characters0.68720.64480.4854
p-value(0)(0)(0)
timeRFC;revisions0.72270.70910.5337
p-value(0)(0)(0)
timeRFC;seconds0.85390.83450.6697
p-value(0)(0)(0)
timeRFC;inclhyperlinks0.72320.69230.5184
p-value(0)(0)(0)
timeRFC;inclblogs0.71050.68340.5121
p-value(0)(0)(0)
blogged;characters0.69350.65290.4906
p-value(0)(0)(0)
blogged;revisions0.790.76750.6013
p-value(0)(0)(0)
blogged;seconds0.79090.78550.6202
p-value(0)(0)(0)
blogged;inclhyperlinks0.83520.79290.6366
p-value(0)(0)(0)
blogged;inclblogs0.83920.79890.6452
p-value(0)(0)(0)
characters;revisions0.68960.66380.5086
p-value(0)(0)(0)
characters;seconds0.72180.6560.4973
p-value(0)(0)(0)
characters;inclhyperlinks0.7210.70350.5379
p-value(0)(0)(0)
characters;inclblogs0.71420.70610.5392
p-value(0)(0)(0)
revisions;seconds0.84390.82850.6598
p-value(0)(0)(0)
revisions;inclhyperlinks0.78740.76330.591
p-value(0)(0)(0)
revisions;inclblogs0.78220.75880.589
p-value(0)(0)(0)
seconds;inclhyperlinks0.79020.79130.6226
p-value(0)(0)(0)
seconds;inclblogs0.77970.78430.6153
p-value(0)(0)(0)
inclhyperlinks;inclblogs0.99760.99720.9724
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')