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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, 22 Dec 2011 15:39:00 -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/22/t1324586479kfe00t46b9n6nny.htm/, Retrieved Fri, 03 May 2024 10:56:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159961, Retrieved Fri, 03 May 2024 10:56:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
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] [ccdbcd1f4b80805a70032cb1a2c4c931] [Current]
-   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:
162687	0	48	21	82	20465	6200	23975	39	37
201906	1	58	20	80	33629	10265	85634	46	43
7215	0	0	0	0	1423	603	1929	0	0
146367	0	67	27	84	25629	8874	36294	54	54
257045	0	83	31	124	54002	20323	72255	93	86
524450	1	136	36	140	151036	26258	189748	198	181
188294	1	65	23	88	33287	10165	61834	42	42
195674	0	86	30	115	31172	8247	68167	59	59
177020	0	62	30	109	28113	8683	38462	49	46
325899	1	71	27	108	57803	16957	101219	83	77
121844	2	50	24	63	49830	8058	43270	49	49
203938	0	88	30	118	52143	20488	76183	83	79
113213	0	61	22	71	21055	7945	31476	39	37
220751	4	79	28	112	47007	13448	62157	93	92
172905	4	56	18	63	28735	5389	46261	31	31
156326	3	54	22	86	59147	6185	50063	29	28
145178	0	81	37	148	78950	24369	64483	104	103
89171	5	13	15	54	13497	70	2341	2	2
172624	0	74	34	134	46154	17327	48149	46	48
39790	0	18	18	57	53249	3878	12743	27	25
87927	0	31	15	59	10726	3149	18743	16	16
241285	0	99	30	113	83700	20517	97057	108	106
195820	1	38	25	96	40400	2570	17675	36	35
146946	1	59	34	96	33797	5162	33106	33	33
159763	1	54	21	78	36205	5299	53311	46	45
207078	0	63	21	80	30165	7233	42754	65	64
212394	0	66	25	93	58534	15657	59056	80	73
201536	0	90	31	109	44663	15329	101621	81	78
394662	0	72	31	115	92556	14881	118120	69	63
217892	0	61	20	79	40078	16318	79572	69	69
182286	0	61	28	103	34711	9556	42744	37	36
181740	2	61	22	71	31076	10462	65931	45	41
137978	4	53	17	66	74608	7192	38575	62	59
255929	0	118	25	100	58092	4362	28795	33	33
236489	1	73	25	100	42009	14349	94440	77	76
0	0	0	0	0	0	0	0	0	0
230761	0	54	31	121	36022	10881	38229	34	27
132807	3	54	14	51	23333	8022	31972	44	44
157118	9	46	35	119	53349	13073	40071	43	43
253254	0	83	34	136	92596	26641	132480	117	104
269329	2	106	22	84	49598	14426	62797	125	120
161273	0	44	34	136	44093	15604	40429	49	44
107181	2	27	23	84	84205	9184	45545	76	71
195891	1	64	24	92	63369	5989	57568	81	78
139667	2	71	26	103	60132	11270	39019	111	106
171101	2	44	23	85	37403	13958	53866	61	61
81407	1	23	35	106	24460	7162	38345	56	53
247563	0	78	24	96	46456	13275	50210	54	51
239807	1	60	31	124	66616	21224	80947	47	46
172743	8	73	30	106	41554	10615	43461	55	55
48188	0	12	22	82	22346	2102	14812	14	14
169355	0	104	23	87	30874	12396	37819	44	44
315622	0	83	27	97	68701	18717	102738	115	113
241518	0	57	30	107	35728	9724	54509	57	55
195583	1	67	33	126	29010	9863	62956	48	46
159913	8	44	12	43	23110	8374	55411	40	39
220241	0	53	26	96	38844	8030	50611	51	51
101694	1	26	26	100	27084	7509	26692	32	31
157258	0	67	23	91	35139	14146	60056	36	36
202536	10	36	38	136	57476	7768	25155	47	47
173505	6	56	32	128	33277	13823	42840	51	53
150518	0	52	21	83	31141	7230	39358	37	38
141491	11	54	22	74	61281	10170	47241	52	52
125612	3	57	26	96	25820	7573	49611	42	37
166049	0	27	28	102	23284	5753	41833	11	11
124197	0	58	33	122	35378	9791	48930	47	45
195043	8	76	36	144	74990	19365	110600	59	59
138708	2	93	25	90	29653	9422	52235	82	82
116552	0	59	25	97	64622	12310	53986	49	49
31970	0	5	21	78	4157	1283	4105	6	6
258158	3	57	19	72	29245	6372	59331	83	81
151184	1	42	12	45	50008	5413	47796	56	56
135926	2	88	30	120	52338	10837	38302	114	105
119629	1	53	21	59	13310	3394	14063	46	46
171518	0	81	39	150	92901	12964	54414	46	46
108949	2	35	32	117	10956	3495	9903	2	2
183471	1	102	28	123	34241	11580	53987	51	51
159966	0	71	29	114	75043	9970	88937	96	95
93786	0	28	21	75	21152	4911	21928	20	18
84971	0	34	31	114	42249	10138	29487	57	55
88882	0	54	26	94	42005	14697	35334	49	48
304603	0	49	29	116	41152	8464	57596	51	48
75101	1	30	23	86	14399	4204	29750	40	39
145043	0	57	25	90	28263	10226	41029	40	40
95827	0	54	22	87	17215	3456	12416	36	36
173924	0	38	26	99	48140	8895	51158	64	60
241957	0	63	33	132	62897	22557	79935	117	114
115367	0	58	24	96	22883	6900	26552	40	39
118408	7	46	24	91	41622	8620	25807	46	45
164078	0	46	21	77	40715	7820	50620	61	59
158931	5	51	28	104	65897	12112	61467	59	59
184139	1	87	28	100	76542	13178	65292	94	93
152856	0	39	25	94	37477	7028	55516	36	35
144014	0	28	15	60	53216	6616	42006	51	47
62535	0	26	13	46	40911	9570	26273	39	36
245196	0	52	36	135	57021	14612	90248	62	59
199841	0	96	27	99	73116	11219	61476	79	79
19349	0	13	1	2	3895	786	9604	14	14
247280	3	43	24	96	46609	11252	45108	45	42
159408	0	42	31	109	29351	9289	47232	43	41
72128	0	30	4	15	2325	593	3439	8	8
104253	0	59	21	68	31747	6562	30553	41	41
151090	0	73	27	102	32665	8208	24751	25	24
137382	1	39	23	84	19249	7488	34458	22	22
87448	1	36	12	46	15292	4574	24649	18	18
27676	0	2	16	59	5842	522	2342	3	1
165507	0	102	29	116	33994	12840	52739	54	53
132148	1	30	26	29	13018	1350	6245	6	6
0	0	0	0	0	0	0	0	0	0
95778	0	46	25	91	98177	10623	35381	50	49
109001	0	25	21	76	37941	5322	19595	33	33
158833	0	59	24	86	31032	7987	50848	54	50
147690	1	60	21	84	32683	10566	39443	63	64
89887	0	36	21	65	34545	1900	27023	56	53
3616	0	0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0	0
199005	0	45	23	84	27525	10698	61022	49	48
160930	0	79	33	114	66856	14884	63528	90	90
177948	2	30	32	132	28549	6852	34835	51	46
136061	0	43	23	92	38610	6873	37172	29	29
43410	0	7	1	3	2781	4	13	1	1
184277	1	80	29	109	41211	9188	62548	68	64
108858	0	32	20	81	22698	5141	31334	29	29
141744	8	81	33	121	41194	4260	20839	27	27
60493	3	3	12	48	32689	443	5084	4	4
19764	1	10	2	8	5752	2416	9927	10	10
177559	3	47	21	80	26757	9831	53229	47	47
140281	0	35	28	107	22527	5953	29877	44	44
164249	0	54	35	140	44810	9435	37310	53	51
11796	0	1	2	8	0	0	0	0	0
10674	0	0	0	0	0	0	0	0	0
151322	0	46	18	56	100674	7642	50067	40	38
6836	0	0	1	4	0	0	0	0	0
174712	6	51	21	70	57786	6837	47708	57	57
5118	0	5	0	0	0	0	0	0	0
40248	1	8	4	14	5444	775	6012	6	6
0	0	0	0	0	0	0	0	0	0
127628	0	38	29	104	28470	8191	27749	24	22
88837	0	21	26	89	61849	1661	47555	34	34
7131	1	0	0	0	0	0	0	0	0
9056	0	0	4	12	2179	548	1336	10	10
87957	1	18	19	60	8019	3080	11017	16	16
144470	0	53	22	84	39644	13400	55184	93	93
111408	1	17	22	88	23494	8181	43485	28	22




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=159961&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=159961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159961&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)
timeRFCcompsharedbloggedreviewedcompsubmfeedbackcharactersrevisionssecondsinclhyperlinksinclblogs
timeRFC10.0940.7740.6720.6950.6790.740.8510.7480.74
compshared0.09410.0720.1480.1260.1360.050.0390.0460.058
blogged0.7740.07210.6780.6990.640.7450.7330.7670.775
reviewedcomp0.6720.1480.67810.9710.6160.6870.6090.5960.599
submfeedback0.6950.1260.6990.97110.6290.7330.6430.6240.624
characters0.6790.1360.640.6160.62910.7220.7560.7580.754
revisions0.740.050.7450.6870.7330.72210.8460.8060.804
seconds0.8510.0390.7330.6090.6430.7560.84610.820.812
inclhyperlinks0.7480.0460.7670.5960.6240.7580.8060.8210.998
inclblogs0.740.0580.7750.5990.6240.7540.8040.8120.9981

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & timeRFC & compshared & blogged & reviewedcomp & submfeedback & characters & revisions & seconds & inclhyperlinks & inclblogs \tabularnewline
timeRFC & 1 & 0.094 & 0.774 & 0.672 & 0.695 & 0.679 & 0.74 & 0.851 & 0.748 & 0.74 \tabularnewline
compshared & 0.094 & 1 & 0.072 & 0.148 & 0.126 & 0.136 & 0.05 & 0.039 & 0.046 & 0.058 \tabularnewline
blogged & 0.774 & 0.072 & 1 & 0.678 & 0.699 & 0.64 & 0.745 & 0.733 & 0.767 & 0.775 \tabularnewline
reviewedcomp & 0.672 & 0.148 & 0.678 & 1 & 0.971 & 0.616 & 0.687 & 0.609 & 0.596 & 0.599 \tabularnewline
submfeedback & 0.695 & 0.126 & 0.699 & 0.971 & 1 & 0.629 & 0.733 & 0.643 & 0.624 & 0.624 \tabularnewline
characters & 0.679 & 0.136 & 0.64 & 0.616 & 0.629 & 1 & 0.722 & 0.756 & 0.758 & 0.754 \tabularnewline
revisions & 0.74 & 0.05 & 0.745 & 0.687 & 0.733 & 0.722 & 1 & 0.846 & 0.806 & 0.804 \tabularnewline
seconds & 0.851 & 0.039 & 0.733 & 0.609 & 0.643 & 0.756 & 0.846 & 1 & 0.82 & 0.812 \tabularnewline
inclhyperlinks & 0.748 & 0.046 & 0.767 & 0.596 & 0.624 & 0.758 & 0.806 & 0.82 & 1 & 0.998 \tabularnewline
inclblogs & 0.74 & 0.058 & 0.775 & 0.599 & 0.624 & 0.754 & 0.804 & 0.812 & 0.998 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159961&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]submfeedback[/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]0.094[/C][C]0.774[/C][C]0.672[/C][C]0.695[/C][C]0.679[/C][C]0.74[/C][C]0.851[/C][C]0.748[/C][C]0.74[/C][/ROW]
[ROW][C]compshared[/C][C]0.094[/C][C]1[/C][C]0.072[/C][C]0.148[/C][C]0.126[/C][C]0.136[/C][C]0.05[/C][C]0.039[/C][C]0.046[/C][C]0.058[/C][/ROW]
[ROW][C]blogged[/C][C]0.774[/C][C]0.072[/C][C]1[/C][C]0.678[/C][C]0.699[/C][C]0.64[/C][C]0.745[/C][C]0.733[/C][C]0.767[/C][C]0.775[/C][/ROW]
[ROW][C]reviewedcomp[/C][C]0.672[/C][C]0.148[/C][C]0.678[/C][C]1[/C][C]0.971[/C][C]0.616[/C][C]0.687[/C][C]0.609[/C][C]0.596[/C][C]0.599[/C][/ROW]
[ROW][C]submfeedback[/C][C]0.695[/C][C]0.126[/C][C]0.699[/C][C]0.971[/C][C]1[/C][C]0.629[/C][C]0.733[/C][C]0.643[/C][C]0.624[/C][C]0.624[/C][/ROW]
[ROW][C]characters[/C][C]0.679[/C][C]0.136[/C][C]0.64[/C][C]0.616[/C][C]0.629[/C][C]1[/C][C]0.722[/C][C]0.756[/C][C]0.758[/C][C]0.754[/C][/ROW]
[ROW][C]revisions[/C][C]0.74[/C][C]0.05[/C][C]0.745[/C][C]0.687[/C][C]0.733[/C][C]0.722[/C][C]1[/C][C]0.846[/C][C]0.806[/C][C]0.804[/C][/ROW]
[ROW][C]seconds[/C][C]0.851[/C][C]0.039[/C][C]0.733[/C][C]0.609[/C][C]0.643[/C][C]0.756[/C][C]0.846[/C][C]1[/C][C]0.82[/C][C]0.812[/C][/ROW]
[ROW][C]inclhyperlinks[/C][C]0.748[/C][C]0.046[/C][C]0.767[/C][C]0.596[/C][C]0.624[/C][C]0.758[/C][C]0.806[/C][C]0.82[/C][C]1[/C][C]0.998[/C][/ROW]
[ROW][C]inclblogs[/C][C]0.74[/C][C]0.058[/C][C]0.775[/C][C]0.599[/C][C]0.624[/C][C]0.754[/C][C]0.804[/C][C]0.812[/C][C]0.998[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159961&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)
timeRFCcompsharedbloggedreviewedcompsubmfeedbackcharactersrevisionssecondsinclhyperlinksinclblogs
timeRFC10.0940.7740.6720.6950.6790.740.8510.7480.74
compshared0.09410.0720.1480.1260.1360.050.0390.0460.058
blogged0.7740.07210.6780.6990.640.7450.7330.7670.775
reviewedcomp0.6720.1480.67810.9710.6160.6870.6090.5960.599
submfeedback0.6950.1260.6990.97110.6290.7330.6430.6240.624
characters0.6790.1360.640.6160.62910.7220.7560.7580.754
revisions0.740.050.7450.6870.7330.72210.8460.8060.804
seconds0.8510.0390.7330.6090.6430.7560.84610.820.812
inclhyperlinks0.7480.0460.7670.5960.6240.7580.8060.8210.998
inclblogs0.740.0580.7750.5990.6240.7540.8040.8120.9981







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;submfeedback0.69540.63670.4673
p-value(0)(0)(0)
timeRFC;characters0.67910.60940.4548
p-value(0)(0)(0)
timeRFC;revisions0.74040.71770.5479
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)
timeRFC;inclblogs0.73980.68750.5211
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;submfeedback0.12590.02850.0226
p-value(0.1326)(0.7342)(0.7238)
compshared;characters0.13640.1110.0855
p-value(0.1032)(0.1854)(0.1804)
compshared;revisions0.04990.04240.0359
p-value(0.5528)(0.6139)(0.5734)
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)
compshared;inclblogs0.05830.13020.0965
p-value(0.4873)(0.1198)(0.1329)
blogged;reviewedcomp0.67790.5960.442
p-value(0)(0)(0)
blogged;submfeedback0.69870.63180.4667
p-value(0)(0)(0)
blogged;characters0.640.60190.4427
p-value(0)(0)(0)
blogged;revisions0.74510.75370.5769
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)
blogged;inclblogs0.7750.73180.5673
p-value(0)(0)(0)
reviewedcomp;submfeedback0.97090.96070.8744
p-value(0)(0)(0)
reviewedcomp;characters0.61630.56850.4267
p-value(0)(0)(0)
reviewedcomp;revisions0.68730.66790.5071
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)
reviewedcomp;inclblogs0.59860.54440.4019
p-value(0)(0)(0)
submfeedback;characters0.62880.59070.4393
p-value(0)(0)(0)
submfeedback;revisions0.7330.7090.5334
p-value(0)(0)(0)
submfeedback;seconds0.64290.5880.4332
p-value(0)(0)(0)
submfeedback;inclhyperlinks0.62360.57520.4204
p-value(0)(0)(0)
submfeedback;inclblogs0.62430.56860.4145
p-value(0)(0)(0)
characters;revisions0.72160.70840.5493
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)
characters;inclblogs0.75370.73780.5653
p-value(0)(0)(0)
revisions;seconds0.84630.82170.6572
p-value(0)(0)(0)
revisions;inclhyperlinks0.8060.78280.613
p-value(0)(0)(0)
revisions;inclblogs0.80440.78330.614
p-value(0)(0)(0)
seconds;inclhyperlinks0.81950.80470.6352
p-value(0)(0)(0)
seconds;inclblogs0.81220.79990.6297
p-value(0)(0)(0)
inclhyperlinks;inclblogs0.99770.99670.9693
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;submfeedback & 0.6954 & 0.6367 & 0.4673 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;characters & 0.6791 & 0.6094 & 0.4548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;revisions & 0.7404 & 0.7177 & 0.5479 \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
timeRFC;inclblogs & 0.7398 & 0.6875 & 0.5211 \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;submfeedback & 0.1259 & 0.0285 & 0.0226 \tabularnewline
p-value & (0.1326) & (0.7342) & (0.7238) \tabularnewline
compshared;characters & 0.1364 & 0.111 & 0.0855 \tabularnewline
p-value & (0.1032) & (0.1854) & (0.1804) \tabularnewline
compshared;revisions & 0.0499 & 0.0424 & 0.0359 \tabularnewline
p-value & (0.5528) & (0.6139) & (0.5734) \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
compshared;inclblogs & 0.0583 & 0.1302 & 0.0965 \tabularnewline
p-value & (0.4873) & (0.1198) & (0.1329) \tabularnewline
blogged;reviewedcomp & 0.6779 & 0.596 & 0.442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;submfeedback & 0.6987 & 0.6318 & 0.4667 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;characters & 0.64 & 0.6019 & 0.4427 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged;revisions & 0.7451 & 0.7537 & 0.5769 \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
blogged;inclblogs & 0.775 & 0.7318 & 0.5673 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewedcomp;submfeedback & 0.9709 & 0.9607 & 0.8744 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewedcomp;characters & 0.6163 & 0.5685 & 0.4267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviewedcomp;revisions & 0.6873 & 0.6679 & 0.5071 \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
reviewedcomp;inclblogs & 0.5986 & 0.5444 & 0.4019 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submfeedback;characters & 0.6288 & 0.5907 & 0.4393 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submfeedback;revisions & 0.733 & 0.709 & 0.5334 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submfeedback;seconds & 0.6429 & 0.588 & 0.4332 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submfeedback;inclhyperlinks & 0.6236 & 0.5752 & 0.4204 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
submfeedback;inclblogs & 0.6243 & 0.5686 & 0.4145 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
characters;revisions & 0.7216 & 0.7084 & 0.5493 \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
characters;inclblogs & 0.7537 & 0.7378 & 0.5653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
revisions;seconds & 0.8463 & 0.8217 & 0.6572 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
revisions;inclhyperlinks & 0.806 & 0.7828 & 0.613 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
revisions;inclblogs & 0.8044 & 0.7833 & 0.614 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
seconds;inclhyperlinks & 0.8195 & 0.8047 & 0.6352 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
seconds;inclblogs & 0.8122 & 0.7999 & 0.6297 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
inclhyperlinks;inclblogs & 0.9977 & 0.9967 & 0.9693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159961&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;submfeedback[/C][C]0.6954[/C][C]0.6367[/C][C]0.4673[/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;revisions[/C][C]0.7404[/C][C]0.7177[/C][C]0.5479[/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]timeRFC;inclblogs[/C][C]0.7398[/C][C]0.6875[/C][C]0.5211[/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;submfeedback[/C][C]0.1259[/C][C]0.0285[/C][C]0.0226[/C][/ROW]
[ROW][C]p-value[/C][C](0.1326)[/C][C](0.7342)[/C][C](0.7238)[/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;revisions[/C][C]0.0499[/C][C]0.0424[/C][C]0.0359[/C][/ROW]
[ROW][C]p-value[/C][C](0.5528)[/C][C](0.6139)[/C][C](0.5734)[/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]compshared;inclblogs[/C][C]0.0583[/C][C]0.1302[/C][C]0.0965[/C][/ROW]
[ROW][C]p-value[/C][C](0.4873)[/C][C](0.1198)[/C][C](0.1329)[/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;submfeedback[/C][C]0.6987[/C][C]0.6318[/C][C]0.4667[/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;revisions[/C][C]0.7451[/C][C]0.7537[/C][C]0.5769[/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]blogged;inclblogs[/C][C]0.775[/C][C]0.7318[/C][C]0.5673[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviewedcomp;submfeedback[/C][C]0.9709[/C][C]0.9607[/C][C]0.8744[/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;revisions[/C][C]0.6873[/C][C]0.6679[/C][C]0.5071[/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]reviewedcomp;inclblogs[/C][C]0.5986[/C][C]0.5444[/C][C]0.4019[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submfeedback;characters[/C][C]0.6288[/C][C]0.5907[/C][C]0.4393[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submfeedback;revisions[/C][C]0.733[/C][C]0.709[/C][C]0.5334[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submfeedback;seconds[/C][C]0.6429[/C][C]0.588[/C][C]0.4332[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submfeedback;inclhyperlinks[/C][C]0.6236[/C][C]0.5752[/C][C]0.4204[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]submfeedback;inclblogs[/C][C]0.6243[/C][C]0.5686[/C][C]0.4145[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]characters;revisions[/C][C]0.7216[/C][C]0.7084[/C][C]0.5493[/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]characters;inclblogs[/C][C]0.7537[/C][C]0.7378[/C][C]0.5653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]revisions;seconds[/C][C]0.8463[/C][C]0.8217[/C][C]0.6572[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]revisions;inclhyperlinks[/C][C]0.806[/C][C]0.7828[/C][C]0.613[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]revisions;inclblogs[/C][C]0.8044[/C][C]0.7833[/C][C]0.614[/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]
[ROW][C]seconds;inclblogs[/C][C]0.8122[/C][C]0.7999[/C][C]0.6297[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]inclhyperlinks;inclblogs[/C][C]0.9977[/C][C]0.9967[/C][C]0.9693[/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=159961&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159961&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;submfeedback0.69540.63670.4673
p-value(0)(0)(0)
timeRFC;characters0.67910.60940.4548
p-value(0)(0)(0)
timeRFC;revisions0.74040.71770.5479
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)
timeRFC;inclblogs0.73980.68750.5211
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;submfeedback0.12590.02850.0226
p-value(0.1326)(0.7342)(0.7238)
compshared;characters0.13640.1110.0855
p-value(0.1032)(0.1854)(0.1804)
compshared;revisions0.04990.04240.0359
p-value(0.5528)(0.6139)(0.5734)
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)
compshared;inclblogs0.05830.13020.0965
p-value(0.4873)(0.1198)(0.1329)
blogged;reviewedcomp0.67790.5960.442
p-value(0)(0)(0)
blogged;submfeedback0.69870.63180.4667
p-value(0)(0)(0)
blogged;characters0.640.60190.4427
p-value(0)(0)(0)
blogged;revisions0.74510.75370.5769
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)
blogged;inclblogs0.7750.73180.5673
p-value(0)(0)(0)
reviewedcomp;submfeedback0.97090.96070.8744
p-value(0)(0)(0)
reviewedcomp;characters0.61630.56850.4267
p-value(0)(0)(0)
reviewedcomp;revisions0.68730.66790.5071
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)
reviewedcomp;inclblogs0.59860.54440.4019
p-value(0)(0)(0)
submfeedback;characters0.62880.59070.4393
p-value(0)(0)(0)
submfeedback;revisions0.7330.7090.5334
p-value(0)(0)(0)
submfeedback;seconds0.64290.5880.4332
p-value(0)(0)(0)
submfeedback;inclhyperlinks0.62360.57520.4204
p-value(0)(0)(0)
submfeedback;inclblogs0.62430.56860.4145
p-value(0)(0)(0)
characters;revisions0.72160.70840.5493
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)
characters;inclblogs0.75370.73780.5653
p-value(0)(0)(0)
revisions;seconds0.84630.82170.6572
p-value(0)(0)(0)
revisions;inclhyperlinks0.8060.78280.613
p-value(0)(0)(0)
revisions;inclblogs0.80440.78330.614
p-value(0)(0)(0)
seconds;inclhyperlinks0.81950.80470.6352
p-value(0)(0)(0)
seconds;inclblogs0.81220.79990.6297
p-value(0)(0)(0)
inclhyperlinks;inclblogs0.99770.99670.9693
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')