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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 computationFri, 23 Dec 2011 08:51:49 -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/23/t13246484141y9mher9p94d1m6.htm/, Retrieved Mon, 29 Apr 2024 20:41:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160413, Retrieved Mon, 29 Apr 2024 20:41:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
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] [298b545ca29b1a60cbb481c5dea313ae]
-    D      [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-22 20:39:00] [298b545ca29b1a60cbb481c5dea313ae]
- R  D          [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-23 13:51:49] [ccdbcd1f4b80805a70032cb1a2c4c931] [Current]
- R P             [Kendall tau Correlation Matrix] [Kendall] [2011-12-23 14:36:59] [298b545ca29b1a60cbb481c5dea313ae]
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Dataseries X:
162687	0	48	21	20465	23975	39
201906	1	58	20	33629	85634	46
7215	0	0	0	1423	1929	0
146367	0	67	27	25629	36294	54
257045	0	83	31	54002	72255	93
524450	1	136	36	151036	189748	198
188294	1	65	23	33287	61834	42
195674	0	86	30	31172	68167	59
177020	0	62	30	28113	38462	49
325899	1	71	27	57803	101219	83
121844	2	50	24	49830	43270	49
203938	0	88	30	52143	76183	83
113213	0	61	22	21055	31476	39
220751	4	79	28	47007	62157	93
172905	4	56	18	28735	46261	31
156326	3	54	22	59147	50063	29
145178	0	81	37	78950	64483	104
89171	5	13	15	13497	2341	2
172624	0	74	34	46154	48149	46
39790	0	18	18	53249	12743	27
87927	0	31	15	10726	18743	16
241285	0	99	30	83700	97057	108
195820	1	38	25	40400	17675	36
146946	1	59	34	33797	33106	33
159763	1	54	21	36205	53311	46
207078	0	63	21	30165	42754	65
212394	0	66	25	58534	59056	80
201536	0	90	31	44663	101621	81
394662	0	72	31	92556	118120	69
217892	0	61	20	40078	79572	69
182286	0	61	28	34711	42744	37
181740	2	61	22	31076	65931	45
137978	4	53	17	74608	38575	62
255929	0	118	25	58092	28795	33
236489	1	73	25	42009	94440	77
0	0	0	0	0	0	0
230761	0	54	31	36022	38229	34
132807	3	54	14	23333	31972	44
157118	9	46	35	53349	40071	43
253254	0	83	34	92596	132480	117
269329	2	106	22	49598	62797	125
161273	0	44	34	44093	40429	49
107181	2	27	23	84205	45545	76
195891	1	64	24	63369	57568	81
139667	2	71	26	60132	39019	111
171101	2	44	23	37403	53866	61
81407	1	23	35	24460	38345	56
247563	0	78	24	46456	50210	54
239807	1	60	31	66616	80947	47
172743	8	73	30	41554	43461	55
48188	0	12	22	22346	14812	14
169355	0	104	23	30874	37819	44
315622	0	83	27	68701	102738	115
241518	0	57	30	35728	54509	57
195583	1	67	33	29010	62956	48
159913	8	44	12	23110	55411	40
220241	0	53	26	38844	50611	51
101694	1	26	26	27084	26692	32
157258	0	67	23	35139	60056	36
202536	10	36	38	57476	25155	47
173505	6	56	32	33277	42840	51
150518	0	52	21	31141	39358	37
141491	11	54	22	61281	47241	52
125612	3	57	26	25820	49611	42
166049	0	27	28	23284	41833	11
124197	0	58	33	35378	48930	47
195043	8	76	36	74990	110600	59
138708	2	93	25	29653	52235	82
116552	0	59	25	64622	53986	49
31970	0	5	21	4157	4105	6
258158	3	57	19	29245	59331	83
151184	1	42	12	50008	47796	56
135926	2	88	30	52338	38302	114
119629	1	53	21	13310	14063	46
171518	0	81	39	92901	54414	46
108949	2	35	32	10956	9903	2
183471	1	102	28	34241	53987	51
159966	0	71	29	75043	88937	96
93786	0	28	21	21152	21928	20
84971	0	34	31	42249	29487	57
88882	0	54	26	42005	35334	49
304603	0	49	29	41152	57596	51
75101	1	30	23	14399	29750	40
145043	0	57	25	28263	41029	40
95827	0	54	22	17215	12416	36
173924	0	38	26	48140	51158	64
241957	0	63	33	62897	79935	117
115367	0	58	24	22883	26552	40
118408	7	46	24	41622	25807	46
164078	0	46	21	40715	50620	61
158931	5	51	28	65897	61467	59
184139	1	87	28	76542	65292	94
152856	0	39	25	37477	55516	36
144014	0	28	15	53216	42006	51
62535	0	26	13	40911	26273	39
245196	0	52	36	57021	90248	62
199841	0	96	27	73116	61476	79
19349	0	13	1	3895	9604	14
247280	3	43	24	46609	45108	45
159408	0	42	31	29351	47232	43
72128	0	30	4	2325	3439	8
104253	0	59	21	31747	30553	41
151090	0	73	27	32665	24751	25
137382	1	39	23	19249	34458	22
87448	1	36	12	15292	24649	18
27676	0	2	16	5842	2342	3
165507	0	102	29	33994	52739	54
132148	1	30	26	13018	6245	6
0	0	0	0	0	0	0
95778	0	46	25	98177	35381	50
109001	0	25	21	37941	19595	33
158833	0	59	24	31032	50848	54
147690	1	60	21	32683	39443	63
89887	0	36	21	34545	27023	56
3616	0	0	0	0	0	0
0	0	0	0	0	0	0
199005	0	45	23	27525	61022	49
160930	0	79	33	66856	63528	90
177948	2	30	32	28549	34835	51
136061	0	43	23	38610	37172	29
43410	0	7	1	2781	13	1
184277	1	80	29	41211	62548	68
108858	0	32	20	22698	31334	29
141744	8	81	33	41194	20839	27
60493	3	3	12	32689	5084	4
19764	1	10	2	5752	9927	10
177559	3	47	21	26757	53229	47
140281	0	35	28	22527	29877	44
164249	0	54	35	44810	37310	53
11796	0	1	2	0	0	0
10674	0	0	0	0	0	0
151322	0	46	18	100674	50067	40
6836	0	0	1	0	0	0
174712	6	51	21	57786	47708	57
5118	0	5	0	0	0	0
40248	1	8	4	5444	6012	6
0	0	0	0	0	0	0
127628	0	38	29	28470	27749	24
88837	0	21	26	61849	47555	34
7131	1	0	0	0	0	0
9056	0	0	4	2179	1336	10
87957	1	18	19	8019	11017	16
144470	0	53	22	39644	55184	93
111408	1	17	22	23494	43485	28




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160413&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160413&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160413&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'Gwilym Jenkins' @ jenkins.wessa.net







Correlations for all pairs of data series (method=pearson)
timeRFCcompsharedbloggedreviewedcompcharacterssecondsinclhyperlinks
timeRFC10.0940.7740.6720.6790.8510.748
compshared0.09410.0720.1480.1360.0390.046
blogged0.7740.07210.6780.640.7330.767
reviewedcomp0.6720.1480.67810.6160.6090.596
characters0.6790.1360.640.61610.7560.758
seconds0.8510.0390.7330.6090.75610.82
inclhyperlinks0.7480.0460.7670.5960.7580.821

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & timeRFC & compshared & blogged & reviewedcomp & characters & seconds & inclhyperlinks \tabularnewline
timeRFC & 1 & 0.094 & 0.774 & 0.672 & 0.679 & 0.851 & 0.748 \tabularnewline
compshared & 0.094 & 1 & 0.072 & 0.148 & 0.136 & 0.039 & 0.046 \tabularnewline
blogged & 0.774 & 0.072 & 1 & 0.678 & 0.64 & 0.733 & 0.767 \tabularnewline
reviewedcomp & 0.672 & 0.148 & 0.678 & 1 & 0.616 & 0.609 & 0.596 \tabularnewline
characters & 0.679 & 0.136 & 0.64 & 0.616 & 1 & 0.756 & 0.758 \tabularnewline
seconds & 0.851 & 0.039 & 0.733 & 0.609 & 0.756 & 1 & 0.82 \tabularnewline
inclhyperlinks & 0.748 & 0.046 & 0.767 & 0.596 & 0.758 & 0.82 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160413&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]timeRFC[/C][C]compshared[/C][C]blogged[/C][C]reviewedcomp[/C][C]characters[/C][C]seconds[/C][C]inclhyperlinks[/C][/ROW]
[ROW][C]timeRFC[/C][C]1[/C][C]0.094[/C][C]0.774[/C][C]0.672[/C][C]0.679[/C][C]0.851[/C][C]0.748[/C][/ROW]
[ROW][C]compshared[/C][C]0.094[/C][C]1[/C][C]0.072[/C][C]0.148[/C][C]0.136[/C][C]0.039[/C][C]0.046[/C][/ROW]
[ROW][C]blogged[/C][C]0.774[/C][C]0.072[/C][C]1[/C][C]0.678[/C][C]0.64[/C][C]0.733[/C][C]0.767[/C][/ROW]
[ROW][C]reviewedcomp[/C][C]0.672[/C][C]0.148[/C][C]0.678[/C][C]1[/C][C]0.616[/C][C]0.609[/C][C]0.596[/C][/ROW]
[ROW][C]characters[/C][C]0.679[/C][C]0.136[/C][C]0.64[/C][C]0.616[/C][C]1[/C][C]0.756[/C][C]0.758[/C][/ROW]
[ROW][C]seconds[/C][C]0.851[/C][C]0.039[/C][C]0.733[/C][C]0.609[/C][C]0.756[/C][C]1[/C][C]0.82[/C][/ROW]
[ROW][C]inclhyperlinks[/C][C]0.748[/C][C]0.046[/C][C]0.767[/C][C]0.596[/C][C]0.758[/C][C]0.82[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160413&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160413&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)
timeRFCcompsharedbloggedreviewedcompcharacterssecondsinclhyperlinks
timeRFC10.0940.7740.6720.6790.8510.748
compshared0.09410.0720.1480.1360.0390.046
blogged0.7740.07210.6780.640.7330.767
reviewedcomp0.6720.1480.67810.6160.6090.596
characters0.6790.1360.640.61610.7560.758
seconds0.8510.0390.7330.6090.75610.82
inclhyperlinks0.7480.0460.7670.5960.7580.821







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
timeRFC;compshared0.0940.11810.0894
p-value(0.2624)(0.1587)(0.1605)
timeRFC;blogged0.77370.73590.5579
p-value(0)(0)(0)
timeRFC;reviewedcomp0.67230.58060.4319
p-value(0)(0)(0)
timeRFC;characters0.67910.60940.4548
p-value(0)(0)(0)
timeRFC;seconds0.85050.81510.6451
p-value(0)(0)(0)
timeRFC;inclhyperlinks0.74780.69540.5274
p-value(0)(0)(0)
compshared;blogged0.07230.070.0539
p-value(0.389)(0.4042)(0.4005)
compshared;reviewedcomp0.14850.04450.0331
p-value(0.0757)(0.5968)(0.6106)
compshared;characters0.13640.1110.0855
p-value(0.1032)(0.1854)(0.1804)
compshared;seconds0.0390.09670.0704
p-value(0.6425)(0.249)(0.2702)
compshared;inclhyperlinks0.04620.12190.0899
p-value(0.5824)(0.1454)(0.1615)
blogged;reviewedcomp0.67790.5960.442
p-value(0)(0)(0)
blogged;characters0.640.60190.4427
p-value(0)(0)(0)
blogged;seconds0.73250.73560.5626
p-value(0)(0)(0)
blogged;inclhyperlinks0.76680.72120.5562
p-value(0)(0)(0)
reviewedcomp;characters0.61630.56850.4267
p-value(0)(0)(0)
reviewedcomp;seconds0.60910.5470.407
p-value(0)(0)(0)
reviewedcomp;inclhyperlinks0.59640.54910.4067
p-value(0)(0)(0)
characters;seconds0.75630.70170.5394
p-value(0)(0)(0)
characters;inclhyperlinks0.75830.73790.5655
p-value(0)(0)(0)
seconds;inclhyperlinks0.81950.80470.6352
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;compshared & 0.094 & 0.1181 & 0.0894 \tabularnewline
p-value & (0.2624) & (0.1587) & (0.1605) \tabularnewline
timeRFC;blogged & 0.7737 & 0.7359 & 0.5579 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;reviewedcomp & 0.6723 & 0.5806 & 0.4319 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;characters & 0.6791 & 0.6094 & 0.4548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;seconds & 0.8505 & 0.8151 & 0.6451 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;inclhyperlinks & 0.7478 & 0.6954 & 0.5274 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compshared;blogged & 0.0723 & 0.07 & 0.0539 \tabularnewline
p-value & (0.389) & (0.4042) & (0.4005) \tabularnewline
compshared;reviewedcomp & 0.1485 & 0.0445 & 0.0331 \tabularnewline
p-value & (0.0757) & (0.5968) & (0.6106) \tabularnewline
compshared;characters & 0.1364 & 0.111 & 0.0855 \tabularnewline
p-value & (0.1032) & (0.1854) & (0.1804) \tabularnewline
compshared;seconds & 0.039 & 0.0967 & 0.0704 \tabularnewline
p-value & (0.6425) & (0.249) & (0.2702) \tabularnewline
compshared;inclhyperlinks & 0.0462 & 0.1219 & 0.0899 \tabularnewline
p-value & (0.5824) & (0.1454) & (0.1615) \tabularnewline
blogged;reviewedcomp & 0.6779 & 0.596 & 0.442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;characters & 0.64 & 0.6019 & 0.4427 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;seconds & 0.7325 & 0.7356 & 0.5626 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;inclhyperlinks & 0.7668 & 0.7212 & 0.5562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewedcomp;characters & 0.6163 & 0.5685 & 0.4267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewedcomp;seconds & 0.6091 & 0.547 & 0.407 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewedcomp;inclhyperlinks & 0.5964 & 0.5491 & 0.4067 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;seconds & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;inclhyperlinks & 0.7583 & 0.7379 & 0.5655 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
seconds;inclhyperlinks & 0.8195 & 0.8047 & 0.6352 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160413&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;compshared[/C][C]0.094[/C][C]0.1181[/C][C]0.0894[/C][/ROW]
[ROW][C]p-value[/C][C](0.2624)[/C][C](0.1587)[/C][C](0.1605)[/C][/ROW]
[ROW][C]timeRFC;blogged[/C][C]0.7737[/C][C]0.7359[/C][C]0.5579[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;reviewedcomp[/C][C]0.6723[/C][C]0.5806[/C][C]0.4319[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;characters[/C][C]0.6791[/C][C]0.6094[/C][C]0.4548[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;seconds[/C][C]0.8505[/C][C]0.8151[/C][C]0.6451[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;inclhyperlinks[/C][C]0.7478[/C][C]0.6954[/C][C]0.5274[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compshared;blogged[/C][C]0.0723[/C][C]0.07[/C][C]0.0539[/C][/ROW]
[ROW][C]p-value[/C][C](0.389)[/C][C](0.4042)[/C][C](0.4005)[/C][/ROW]
[ROW][C]compshared;reviewedcomp[/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]compshared;characters[/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]
[ROW][C]compshared;seconds[/C][C]0.039[/C][C]0.0967[/C][C]0.0704[/C][/ROW]
[ROW][C]p-value[/C][C](0.6425)[/C][C](0.249)[/C][C](0.2702)[/C][/ROW]
[ROW][C]compshared;inclhyperlinks[/C][C]0.0462[/C][C]0.1219[/C][C]0.0899[/C][/ROW]
[ROW][C]p-value[/C][C](0.5824)[/C][C](0.1454)[/C][C](0.1615)[/C][/ROW]
[ROW][C]blogged;reviewedcomp[/C][C]0.6779[/C][C]0.596[/C][C]0.442[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;characters[/C][C]0.64[/C][C]0.6019[/C][C]0.4427[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;seconds[/C][C]0.7325[/C][C]0.7356[/C][C]0.5626[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged;inclhyperlinks[/C][C]0.7668[/C][C]0.7212[/C][C]0.5562[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviewedcomp;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]reviewedcomp;seconds[/C][C]0.6091[/C][C]0.547[/C][C]0.407[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviewedcomp;inclhyperlinks[/C][C]0.5964[/C][C]0.5491[/C][C]0.4067[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;seconds[/C][C]0.7563[/C][C]0.7017[/C][C]0.5394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;inclhyperlinks[/C][C]0.7583[/C][C]0.7379[/C][C]0.5655[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]seconds;inclhyperlinks[/C][C]0.8195[/C][C]0.8047[/C][C]0.6352[/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=160413&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160413&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;compshared0.0940.11810.0894
p-value(0.2624)(0.1587)(0.1605)
timeRFC;blogged0.77370.73590.5579
p-value(0)(0)(0)
timeRFC;reviewedcomp0.67230.58060.4319
p-value(0)(0)(0)
timeRFC;characters0.67910.60940.4548
p-value(0)(0)(0)
timeRFC;seconds0.85050.81510.6451
p-value(0)(0)(0)
timeRFC;inclhyperlinks0.74780.69540.5274
p-value(0)(0)(0)
compshared;blogged0.07230.070.0539
p-value(0.389)(0.4042)(0.4005)
compshared;reviewedcomp0.14850.04450.0331
p-value(0.0757)(0.5968)(0.6106)
compshared;characters0.13640.1110.0855
p-value(0.1032)(0.1854)(0.1804)
compshared;seconds0.0390.09670.0704
p-value(0.6425)(0.249)(0.2702)
compshared;inclhyperlinks0.04620.12190.0899
p-value(0.5824)(0.1454)(0.1615)
blogged;reviewedcomp0.67790.5960.442
p-value(0)(0)(0)
blogged;characters0.640.60190.4427
p-value(0)(0)(0)
blogged;seconds0.73250.73560.5626
p-value(0)(0)(0)
blogged;inclhyperlinks0.76680.72120.5562
p-value(0)(0)(0)
reviewedcomp;characters0.61630.56850.4267
p-value(0)(0)(0)
reviewedcomp;seconds0.60910.5470.407
p-value(0)(0)(0)
reviewedcomp;inclhyperlinks0.59640.54910.4067
p-value(0)(0)(0)
characters;seconds0.75630.70170.5394
p-value(0)(0)(0)
characters;inclhyperlinks0.75830.73790.5655
p-value(0)(0)(0)
seconds;inclhyperlinks0.81950.80470.6352
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')