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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 09:22:47 -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/t1324650214fxhno1cz77vhvk9.htm/, Retrieved Mon, 29 Apr 2024 22:36:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160447, Retrieved Mon, 29 Apr 2024 22:36:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
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 Correlation] [2011-12-14 14:29:42] [7ead21d528290ed5f4bbc64b680f15e5]
-    D      [Kendall tau Correlation Matrix] [pearson corr. ] [2011-12-23 14:22:47] [050dc696fa22882d0c3b1ebe5a70a85e] [Current]
-    D        [Kendall tau Correlation Matrix] [pearson cor, fout] [2011-12-23 14:41:41] [7ead21d528290ed5f4bbc64b680f15e5]
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Dataseries X:
210907	396	81	30	94	112285	24188	144	145
120982	297	55	28	103	84786	18273	103	101
176508	559	50	38	93	83123	14130	98	98
179321	967	125	30	103	101193	32287	135	132
123185	270	40	22	51	38361	8654	61	60
52746	143	37	26	70	68504	9245	39	38
385534	1562	63	25	91	119182	33251	150	144
33170	109	44	18	22	22807	1271	5	5
101645	371	88	11	38	17140	5279	28	28
149061	656	66	26	93	116174	27101	84	84
165446	511	57	25	60	57635	16373	80	79
237213	655	74	38	123	66198	19716	130	127
173326	465	49	44	148	71701	17753	82	78
133131	525	52	30	90	57793	9028	60	60
258873	885	88	40	124	80444	18653	131	131
180083	497	36	34	70	53855	8828	84	84
324799	1436	108	47	168	97668	29498	140	133
230964	612	43	30	115	133824	27563	151	150
236785	865	75	31	71	101481	18293	91	91
135473	385	32	23	66	99645	22530	138	132
202925	567	44	36	134	114789	15977	150	136
215147	639	85	36	117	99052	35082	124	124
344297	963	86	30	108	67654	16116	119	118
153935	398	56	25	84	65553	15849	73	70
132943	410	50	39	156	97500	16026	110	107
174724	966	135	34	120	69112	26569	123	119
174415	801	63	31	114	82753	24785	90	89
225548	892	81	31	94	85323	17569	116	112
223632	513	52	33	120	72654	23825	113	108
124817	469	44	25	81	30727	7869	56	52
221698	683	113	33	110	77873	14975	115	112
210767	643	39	35	133	117478	37791	119	116
170266	535	73	42	122	74007	9605	129	123
260561	625	48	43	158	90183	27295	127	125
84853	264	33	30	109	61542	2746	27	27
294424	992	59	33	124	101494	34461	175	162
101011	238	41	13	39	27570	8098	35	32
215641	818	69	32	92	55813	4787	64	64
325107	937	64	36	126	79215	24919	96	92
7176	70	1	0	0	1423	603	0	0
167542	507	59	28	70	55461	16329	84	83
106408	260	32	14	37	31081	12558	41	41
96560	503	129	17	38	22996	7784	47	47
265769	927	37	32	120	83122	28522	126	120
269651	1269	31	30	93	70106	22265	105	105
149112	537	65	35	95	60578	14459	80	79
175824	910	107	20	77	39992	14526	70	65
152871	532	74	28	90	79892	22240	73	70
111665	345	54	28	80	49810	11802	57	55
116408	918	76	39	31	71570	7623	40	39
362301	1635	715	34	110	100708	11912	68	67
78800	330	57	26	66	33032	7935	21	21
183167	557	66	39	138	82875	18220	127	127
277965	1178	106	39	133	139077	19199	154	152
150629	740	54	33	113	71595	19918	116	113
168809	452	32	28	100	72260	21884	102	99
24188	218	20	4	7	5950	2694	7	7
329267	764	71	39	140	115762	15808	148	141
65029	255	21	18	61	32551	3597	21	21
101097	454	70	14	41	31701	5296	35	35
218946	866	112	29	96	80670	25239	112	109
244052	574	66	44	164	143558	29801	137	133
341570	1276	190	21	78	117105	18450	135	123
103597	379	66	16	49	23789	7132	26	26
233328	825	165	28	102	120733	34861	230	230
256462	798	56	35	124	105195	35940	181	166
206161	663	61	28	99	73107	16688	71	68
311473	1069	53	38	129	132068	24683	147	147
235800	921	127	23	62	149193	46230	190	179
177939	858	63	36	73	46821	10387	64	61
207176	711	38	32	114	87011	21436	105	101
196553	503	50	29	99	95260	30546	107	108
174184	382	52	25	70	55183	19746	94	90
143246	464	42	27	104	106671	15977	116	114
187559	717	76	36	116	73511	22583	106	103
187681	690	67	28	91	92945	17274	143	142
119016	462	50	23	74	78664	16469	81	79
182192	657	53	40	138	70054	14251	89	88
73566	385	39	23	67	22618	3007	26	25
194979	577	50	40	151	74011	16851	84	83
167488	619	77	28	72	83737	21113	113	113
143756	479	57	34	120	69094	17401	120	118
275541	817	73	33	115	93133	23958	110	110
243199	752	34	28	105	95536	23567	134	129
182999	430	39	34	104	225920	13065	54	51
135649	451	46	30	108	62133	15358	96	93
152299	537	63	33	98	61370	14587	78	76
120221	519	35	22	69	43836	12770	51	49
346485	1000	106	38	111	106117	24021	121	118
145790	637	43	26	99	38692	9648	38	38
193339	465	47	35	71	84651	20537	145	141
80953	437	31	8	27	56622	7905	59	58
122774	711	162	24	69	15986	4527	27	27
130585	299	57	29	107	95364	30495	91	91
112611	248	36	20	73	26706	7117	48	48
286468	1162	263	29	107	89691	17719	68	63
241066	714	78	45	93	67267	27056	58	56
148446	905	63	37	129	126846	33473	150	144
204713	649	54	33	69	41140	9758	74	73
182079	512	63	33	118	102860	21115	181	168
140344	472	77	25	73	51715	7236	65	64
220516	905	79	32	119	55801	13790	97	97
243060	786	110	29	104	111813	32902	121	117
162765	489	56	28	107	120293	25131	99	100
182613	479	56	28	99	138599	30910	152	149
232138	617	43	31	90	161647	35947	188	187
265318	925	111	52	197	115929	29848	138	127
85574	351	71	21	36	24266	6943	40	37
310839	1144	62	24	85	162901	42705	254	245
225060	669	56	41	139	109825	31808	87	87
232317	707	74	33	106	129838	26675	178	177
144966	458	60	32	50	37510	8435	51	49
43287	214	43	19	64	43750	7409	49	49
155754	599	68	20	31	40652	14993	73	73
164709	572	53	31	63	87771	36867	176	177
201940	897	87	31	92	85872	33835	94	94
235454	819	46	32	106	89275	24164	120	117
220801	720	105	18	63	44418	12607	66	60
99466	273	32	23	69	192565	22609	56	55
92661	508	133	17	41	35232	5892	39	39
133328	506	79	20	56	40909	17014	66	64
61361	451	51	12	25	13294	5394	27	26
125930	699	207	17	65	32387	9178	65	64
100750	407	67	30	93	140867	6440	58	58
224549	465	47	31	114	120662	21916	98	95
82316	245	34	10	38	21233	4011	25	25
102010	370	66	13	44	44332	5818	26	26
101523	316	76	22	87	61056	18647	77	76
243511	603	65	42	110	101338	20556	130	129
22938	154	9	1	0	1168	238	11	11
41566	229	42	9	27	13497	70	2	2
152474	577	45	32	83	65567	22392	101	101
61857	192	25	11	30	25162	3913	31	28
99923	617	115	25	80	32334	12237	36	36
132487	411	97	36	98	40735	8388	120	89
317394	975	53	31	82	91413	22120	195	193
21054	146	2	0	0	855	338	4	4
209641	705	52	24	60	97068	11727	89	84
22648	184	44	13	28	44339	3704	24	23
31414	200	22	8	9	14116	3988	39	39
46698	274	35	13	33	10288	3030	14	14
131698	502	74	19	59	65622	13520	78	78
91735	382	103	18	49	16563	1421	15	14
244749	964	144	33	115	76643	20923	106	101
184510	537	60	40	140	110681	20237	83	82
79863	438	134	22	49	29011	3219	24	24
128423	369	89	38	120	92696	3769	37	36
97839	417	42	24	66	94785	12252	77	75
38214	276	52	8	21	8773	1888	16	16
151101	514	98	35	124	83209	14497	56	55
272458	822	99	43	152	93815	28864	132	131
172494	389	52	43	139	86687	21721	144	131
108043	466	29	14	38	34553	4821	40	39
328107	1255	125	41	144	105547	33644	153	144
250579	694	106	38	120	103487	15923	143	139
351067	1024	95	45	160	213688	42935	220	211
158015	400	40	31	114	71220	18864	79	78
98866	397	140	13	39	23517	4977	50	50
85439	350	43	28	78	56926	7785	39	39
229242	719	128	31	119	91721	17939	95	90
351619	1277	142	40	141	115168	23436	169	166
84207	356	73	30	101	111194	325	12	12
120445	457	72	16	56	51009	13539	63	57
324598	1402	128	37	133	135777	34538	134	133
131069	600	61	30	83	51513	12198	69	69
204271	480	73	35	116	74163	26924	119	119
165543	595	148	32	90	51633	12716	119	119
141722	436	64	27	36	75345	8172	75	65
116048	230	45	20	50	33416	10855	63	61
250047	651	58	18	61	83305	11932	55	49
299775	1367	97	31	97	98952	14300	103	101
195838	564	50	31	98	102372	25515	197	196
173260	716	37	21	78	37238	2805	16	15
254488	747	50	39	117	103772	29402	140	136
104389	467	105	41	148	123969	16440	89	89
136084	671	69	13	41	27142	11221	40	40
199476	861	46	32	105	135400	28732	125	123
92499	319	57	18	55	21399	5250	21	21
224330	612	52	39	132	130115	28608	167	163
135781	433	98	14	44	24874	8092	32	29
74408	434	61	7	21	34988	4473	36	35
81240	503	89	17	50	45549	1572	13	13
14688	85	0	0	0	6023	2065	5	5
181633	564	48	30	73	64466	14817	96	96
271856	824	91	37	86	54990	16714	151	151
7199	74	0	0	0	1644	556	6	6
46660	259	7	5	13	6179	2089	13	13
17547	69	3	1	4	3926	2658	3	3
133368	535	54	16	57	32755	10695	57	56
95227	239	70	32	48	34777	1669	23	23
152601	438	36	24	46	73224	16267	61	57
98146	459	37	17	48	27114	7768	21	14
79619	426	123	11	32	20760	7252	43	43
59194	288	247	24	68	37636	6387	20	20
139942	498	46	22	87	65461	18715	82	72
118612	454	72	12	43	30080	7936	90	87
72880	376	41	19	67	24094	8643	25	21
65475	225	24	13	46	69008	7294	60	56
99643	555	45	17	46	54968	4570	61	59
71965	252	33	15	56	46090	7185	85	82
77272	208	27	16	48	27507	10058	43	43
49289	130	36	24	44	10672	2342	25	25
135131	481	87	15	60	34029	8509	41	38
108446	389	90	17	65	46300	13275	26	25
89746	565	114	18	55	24760	6816	38	38
44296	173	31	20	38	18779	1930	12	12
77648	278	45	16	52	21280	8086	29	29
181528	609	69	16	60	40662	10737	49	47
134019	422	51	18	54	28987	8033	46	45
124064	445	34	22	86	22827	7058	41	40
92630	387	60	8	24	18513	6782	31	30
121848	339	45	17	52	30594	5401	41	41
52915	181	54	18	49	24006	6521	26	25
81872	245	25	16	61	27913	10856	23	23
58981	384	38	23	61	42744	2154	14	14
53515	212	52	22	81	12934	6117	16	16
60812	399	67	13	43	22574	5238	25	26
56375	229	74	13	40	41385	4820	21	21
65490	224	38	16	40	18653	5615	32	27
80949	203	30	16	56	18472	4272	9	9
76302	333	26	20	68	30976	8702	35	33
104011	384	67	22	79	63339	15340	42	42
98104	636	132	17	47	25568	8030	68	68
67989	185	42	18	57	33747	9526	32	32
30989	93	35	17	41	4154	1278	6	6
135458	581	118	12	29	19474	4236	68	67
73504	248	68	7	3	35130	3023	33	33
63123	304	43	17	60	39067	7196	84	77
61254	344	76	14	30	13310	3394	46	46
74914	407	64	23	79	65892	6371	30	30
31774	170	48	17	47	4143	1574	0	0
81437	312	64	14	40	28579	9620	36	36
87186	507	56	15	48	51776	6978	47	46
50090	224	71	17	36	21152	4911	20	18
65745	340	75	21	42	38084	8645	50	48
56653	168	39	18	49	27717	8987	30	29
158399	443	42	18	57	32928	5544	30	28
46455	204	39	17	12	11342	3083	34	34
73624	367	93	17	40	19499	6909	33	33
38395	210	38	16	43	16380	3189	34	34
91899	335	60	15	33	36874	6745	37	33
139526	364	71	21	77	48259	16724	83	80
52164	178	52	16	43	16734	4850	32	32
51567	206	27	14	45	28207	7025	30	30
70551	279	59	15	47	30143	6047	43	41
84856	387	40	17	43	41369	7377	41	41
102538	490	79	15	45	45833	9078	51	51
86678	238	44	15	50	29156	4605	19	18
85709	343	65	10	35	35944	3238	37	34
34662	232	10	6	7	36278	8100	33	31
150580	530	124	22	71	45588	9653	41	39
99611	291	81	21	67	45097	8914	54	54
19349	67	15	1	0	3895	786	14	14
99373	397	92	18	62	28394	6700	25	24
86230	467	42	17	54	18632	5788	25	24
30837	178	10	4	4	2325	593	8	8
31706	175	24	10	25	25139	4506	26	26
89806	299	64	16	40	27975	6382	20	19
62088	154	45	16	38	14483	5621	11	11
40151	106	22	9	19	13127	3997	14	14
27634	189	56	16	17	5839	520	3	1
76990	194	94	17	67	24069	8891	40	39
37460	135	19	7	14	3738	999	5	5
54157	201	35	15	30	18625	7067	38	37
49862	207	32	14	54	36341	4639	32	32
84337	280	35	14	35	24548	5654	41	38
64175	260	48	18	59	21792	6928	46	47
59382	227	49	12	24	26263	1514	47	47
119308	239	48	16	58	23686	9238	37	37
76702	333	62	21	42	49303	8204	51	51
103425	428	96	19	46	25659	5926	49	45
70344	230	45	16	61	28904	5785	21	21
43410	292	63	1	3	2781	4	1	1
104838	350	71	16	52	29236	5930	44	42
62215	186	26	10	25	19546	3710	26	26
69304	326	48	19	40	22818	705	21	21
53117	155	29	12	32	32689	443	4	4
19764	75	19	2	4	5752	2416	10	10
86680	361	45	14	49	22197	7747	43	43
84105	261	45	17	63	20055	5432	34	34
77945	299	67	19	67	25272	4913	32	31
89113	300	30	14	32	82206	2650	20	19
91005	450	36	11	23	32073	2370	34	34
40248	183	34	4	7	5444	775	6	6
64187	238	36	16	54	20154	5576	12	11
50857	165	34	20	37	36944	1352	24	24
56613	234	37	12	35	8019	3080	16	16
62792	176	46	15	51	30884	10205	72	72
72535	329	44	16	39	19540	6095	27	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160447&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160447&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160447&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 time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Correlations for all pairs of data series (method=pearson)
timecompviewsinfocompviewsprreviewsfeedbackmtotsizetotrevisionstothyperlinkstotblogs
time10.8930.390.7580.7690.7460.7830.8160.814
compviewsinfo0.89310.5190.6380.6410.6270.6740.6910.689
compviewspr0.390.51910.2630.2610.2070.1760.1980.197
reviews0.7580.6380.26310.9180.7340.6980.7210.72
feedbackm0.7690.6410.2610.91810.7550.740.7330.731
totsize0.7460.6270.2070.7340.75510.8080.7980.798
totrevisions0.7830.6740.1760.6980.740.80810.8750.876
tothyperlinks0.8160.6910.1980.7210.7330.7980.87510.998
totblogs0.8140.6890.1970.720.7310.7980.8760.9981

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time & compviewsinfo & compviewspr & reviews & feedbackm & totsize & totrevisions & tothyperlinks & totblogs \tabularnewline
time & 1 & 0.893 & 0.39 & 0.758 & 0.769 & 0.746 & 0.783 & 0.816 & 0.814 \tabularnewline
compviewsinfo & 0.893 & 1 & 0.519 & 0.638 & 0.641 & 0.627 & 0.674 & 0.691 & 0.689 \tabularnewline
compviewspr & 0.39 & 0.519 & 1 & 0.263 & 0.261 & 0.207 & 0.176 & 0.198 & 0.197 \tabularnewline
reviews & 0.758 & 0.638 & 0.263 & 1 & 0.918 & 0.734 & 0.698 & 0.721 & 0.72 \tabularnewline
feedbackm & 0.769 & 0.641 & 0.261 & 0.918 & 1 & 0.755 & 0.74 & 0.733 & 0.731 \tabularnewline
totsize & 0.746 & 0.627 & 0.207 & 0.734 & 0.755 & 1 & 0.808 & 0.798 & 0.798 \tabularnewline
totrevisions & 0.783 & 0.674 & 0.176 & 0.698 & 0.74 & 0.808 & 1 & 0.875 & 0.876 \tabularnewline
tothyperlinks & 0.816 & 0.691 & 0.198 & 0.721 & 0.733 & 0.798 & 0.875 & 1 & 0.998 \tabularnewline
totblogs & 0.814 & 0.689 & 0.197 & 0.72 & 0.731 & 0.798 & 0.876 & 0.998 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160447&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]time[/C][C]compviewsinfo[/C][C]compviewspr[/C][C]reviews[/C][C]feedbackm[/C][C]totsize[/C][C]totrevisions[/C][C]tothyperlinks[/C][C]totblogs[/C][/ROW]
[ROW][C]time[/C][C]1[/C][C]0.893[/C][C]0.39[/C][C]0.758[/C][C]0.769[/C][C]0.746[/C][C]0.783[/C][C]0.816[/C][C]0.814[/C][/ROW]
[ROW][C]compviewsinfo[/C][C]0.893[/C][C]1[/C][C]0.519[/C][C]0.638[/C][C]0.641[/C][C]0.627[/C][C]0.674[/C][C]0.691[/C][C]0.689[/C][/ROW]
[ROW][C]compviewspr[/C][C]0.39[/C][C]0.519[/C][C]1[/C][C]0.263[/C][C]0.261[/C][C]0.207[/C][C]0.176[/C][C]0.198[/C][C]0.197[/C][/ROW]
[ROW][C]reviews[/C][C]0.758[/C][C]0.638[/C][C]0.263[/C][C]1[/C][C]0.918[/C][C]0.734[/C][C]0.698[/C][C]0.721[/C][C]0.72[/C][/ROW]
[ROW][C]feedbackm[/C][C]0.769[/C][C]0.641[/C][C]0.261[/C][C]0.918[/C][C]1[/C][C]0.755[/C][C]0.74[/C][C]0.733[/C][C]0.731[/C][/ROW]
[ROW][C]totsize[/C][C]0.746[/C][C]0.627[/C][C]0.207[/C][C]0.734[/C][C]0.755[/C][C]1[/C][C]0.808[/C][C]0.798[/C][C]0.798[/C][/ROW]
[ROW][C]totrevisions[/C][C]0.783[/C][C]0.674[/C][C]0.176[/C][C]0.698[/C][C]0.74[/C][C]0.808[/C][C]1[/C][C]0.875[/C][C]0.876[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.816[/C][C]0.691[/C][C]0.198[/C][C]0.721[/C][C]0.733[/C][C]0.798[/C][C]0.875[/C][C]1[/C][C]0.998[/C][/ROW]
[ROW][C]totblogs[/C][C]0.814[/C][C]0.689[/C][C]0.197[/C][C]0.72[/C][C]0.731[/C][C]0.798[/C][C]0.876[/C][C]0.998[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160447&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160447&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)
timecompviewsinfocompviewsprreviewsfeedbackmtotsizetotrevisionstothyperlinkstotblogs
time10.8930.390.7580.7690.7460.7830.8160.814
compviewsinfo0.89310.5190.6380.6410.6270.6740.6910.689
compviewspr0.390.51910.2630.2610.2070.1760.1980.197
reviews0.7580.6380.26310.9180.7340.6980.7210.72
feedbackm0.7690.6410.2610.91810.7550.740.7330.731
totsize0.7460.6270.2070.7340.75510.8080.7980.798
totrevisions0.7830.6740.1760.6980.740.80810.8750.876
tothyperlinks0.8160.6910.1980.7210.7330.7980.87510.998
totblogs0.8140.6890.1970.720.7310.7980.8760.9981







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time;compviewsinfo0.89250.89950.726
p-value(0)(0)(0)
time;compviewspr0.39030.4890.3435
p-value(0)(0)(0)
time;reviews0.7580.78920.5899
p-value(0)(0)(0)
time;feedbackm0.76890.80520.6046
p-value(0)(0)(0)
time;totsize0.74620.81180.6171
p-value(0)(0)(0)
time;totrevisions0.78270.8410.639
p-value(0)(0)(0)
time;tothyperlinks0.81640.85880.6675
p-value(0)(0)(0)
time;totblogs0.81430.85730.665
p-value(0)(0)(0)
compviewsinfo;compviewspr0.51860.58490.4206
p-value(0)(0)(0)
compviewsinfo;reviews0.63770.69870.5025
p-value(0)(0)(0)
compviewsinfo;feedbackm0.64140.69960.5037
p-value(0)(0)(0)
compviewsinfo;totsize0.62670.71350.5211
p-value(0)(0)(0)
compviewsinfo;totrevisions0.67360.73320.5335
p-value(0)(0)(0)
compviewsinfo;tothyperlinks0.69060.76590.5676
p-value(0)(0)(0)
compviewsinfo;totblogs0.6890.76590.5668
p-value(0)(0)(0)
compviewspr;reviews0.26330.39390.2823
p-value(0)(0)(0)
compviewspr;feedbackm0.26120.37620.2653
p-value(0)(0)(0)
compviewspr;totsize0.20650.3460.2382
p-value(4e-04)(0)(0)
compviewspr;totrevisions0.17630.36060.248
p-value(0.0026)(0)(0)
compviewspr;tothyperlinks0.19820.39460.2722
p-value(7e-04)(0)(0)
compviewspr;totblogs0.19730.3950.2726
p-value(7e-04)(0)(0)
reviews;feedbackm0.91820.90670.7707
p-value(0)(0)(0)
reviews;totsize0.73450.78990.5825
p-value(0)(0)(0)
reviews;totrevisions0.69780.74290.5478
p-value(0)(0)(0)
reviews;tothyperlinks0.72060.75470.557
p-value(0)(0)(0)
reviews;totblogs0.71970.75580.5563
p-value(0)(0)(0)
feedbackm;totsize0.75530.80890.6106
p-value(0)(0)(0)
feedbackm;totrevisions0.74010.79350.5975
p-value(0)(0)(0)
feedbackm;tothyperlinks0.73310.77010.5684
p-value(0)(0)(0)
feedbackm;totblogs0.7310.77090.5685
p-value(0)(0)(0)
totsize;totrevisions0.80780.82890.6491
p-value(0)(0)(0)
totsize;tothyperlinks0.79780.83840.6548
p-value(0)(0)(0)
totsize;totblogs0.79830.83940.6562
p-value(0)(0)(0)
totrevisions;tothyperlinks0.87460.89390.7162
p-value(0)(0)(0)
totrevisions;totblogs0.87590.8940.7151
p-value(0)(0)(0)
tothyperlinks;totblogs0.99830.99870.9803
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
time;compviewsinfo & 0.8925 & 0.8995 & 0.726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;compviewspr & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;reviews & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;feedbackm & 0.7689 & 0.8052 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;totsize & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;totrevisions & 0.7827 & 0.841 & 0.639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;tothyperlinks & 0.8164 & 0.8588 & 0.6675 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time;totblogs & 0.8143 & 0.8573 & 0.665 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;compviewspr & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;reviews & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;feedbackm & 0.6414 & 0.6996 & 0.5037 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;totsize & 0.6267 & 0.7135 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;totrevisions & 0.6736 & 0.7332 & 0.5335 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;tothyperlinks & 0.6906 & 0.7659 & 0.5676 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewsinfo;totblogs & 0.689 & 0.7659 & 0.5668 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewspr;reviews & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewspr;feedbackm & 0.2612 & 0.3762 & 0.2653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compviewspr;totsize & 0.2065 & 0.346 & 0.2382 \tabularnewline
p-value & (4e-04) & (0) & (0) \tabularnewline
compviewspr;totrevisions & 0.1763 & 0.3606 & 0.248 \tabularnewline
p-value & (0.0026) & (0) & (0) \tabularnewline
compviewspr;tothyperlinks & 0.1982 & 0.3946 & 0.2722 \tabularnewline
p-value & (7e-04) & (0) & (0) \tabularnewline
compviewspr;totblogs & 0.1973 & 0.395 & 0.2726 \tabularnewline
p-value & (7e-04) & (0) & (0) \tabularnewline
reviews;feedbackm & 0.9182 & 0.9067 & 0.7707 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;totsize & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;totrevisions & 0.6978 & 0.7429 & 0.5478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;tothyperlinks & 0.7206 & 0.7547 & 0.557 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;totblogs & 0.7197 & 0.7558 & 0.5563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedbackm;totsize & 0.7553 & 0.8089 & 0.6106 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedbackm;totrevisions & 0.7401 & 0.7935 & 0.5975 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedbackm;tothyperlinks & 0.7331 & 0.7701 & 0.5684 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedbackm;totblogs & 0.731 & 0.7709 & 0.5685 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totrevisions & 0.8078 & 0.8289 & 0.6491 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tothyperlinks & 0.7978 & 0.8384 & 0.6548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totblogs & 0.7983 & 0.8394 & 0.6562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;tothyperlinks & 0.8746 & 0.8939 & 0.7162 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;totblogs & 0.8759 & 0.894 & 0.7151 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tothyperlinks;totblogs & 0.9983 & 0.9987 & 0.9803 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160447&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]time;compviewsinfo[/C][C]0.8925[/C][C]0.8995[/C][C]0.726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;compviewspr[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;reviews[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;feedbackm[/C][C]0.7689[/C][C]0.8052[/C][C]0.6046[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;totsize[/C][C]0.7462[/C][C]0.8118[/C][C]0.6171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;totrevisions[/C][C]0.7827[/C][C]0.841[/C][C]0.639[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;tothyperlinks[/C][C]0.8164[/C][C]0.8588[/C][C]0.6675[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time;totblogs[/C][C]0.8143[/C][C]0.8573[/C][C]0.665[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;compviewspr[/C][C]0.5186[/C][C]0.5849[/C][C]0.4206[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;reviews[/C][C]0.6377[/C][C]0.6987[/C][C]0.5025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;feedbackm[/C][C]0.6414[/C][C]0.6996[/C][C]0.5037[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;totsize[/C][C]0.6267[/C][C]0.7135[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;totrevisions[/C][C]0.6736[/C][C]0.7332[/C][C]0.5335[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;tothyperlinks[/C][C]0.6906[/C][C]0.7659[/C][C]0.5676[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewsinfo;totblogs[/C][C]0.689[/C][C]0.7659[/C][C]0.5668[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewspr;reviews[/C][C]0.2633[/C][C]0.3939[/C][C]0.2823[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewspr;feedbackm[/C][C]0.2612[/C][C]0.3762[/C][C]0.2653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewspr;totsize[/C][C]0.2065[/C][C]0.346[/C][C]0.2382[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewspr;totrevisions[/C][C]0.1763[/C][C]0.3606[/C][C]0.248[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewspr;tothyperlinks[/C][C]0.1982[/C][C]0.3946[/C][C]0.2722[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compviewspr;totblogs[/C][C]0.1973[/C][C]0.395[/C][C]0.2726[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;feedbackm[/C][C]0.9182[/C][C]0.9067[/C][C]0.7707[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;totsize[/C][C]0.7345[/C][C]0.7899[/C][C]0.5825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;totrevisions[/C][C]0.6978[/C][C]0.7429[/C][C]0.5478[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;tothyperlinks[/C][C]0.7206[/C][C]0.7547[/C][C]0.557[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;totblogs[/C][C]0.7197[/C][C]0.7558[/C][C]0.5563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedbackm;totsize[/C][C]0.7553[/C][C]0.8089[/C][C]0.6106[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedbackm;totrevisions[/C][C]0.7401[/C][C]0.7935[/C][C]0.5975[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedbackm;tothyperlinks[/C][C]0.7331[/C][C]0.7701[/C][C]0.5684[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedbackm;totblogs[/C][C]0.731[/C][C]0.7709[/C][C]0.5685[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totrevisions[/C][C]0.8078[/C][C]0.8289[/C][C]0.6491[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;tothyperlinks[/C][C]0.7978[/C][C]0.8384[/C][C]0.6548[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totblogs[/C][C]0.7983[/C][C]0.8394[/C][C]0.6562[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;tothyperlinks[/C][C]0.8746[/C][C]0.8939[/C][C]0.7162[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;totblogs[/C][C]0.8759[/C][C]0.894[/C][C]0.7151[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tothyperlinks;totblogs[/C][C]0.9983[/C][C]0.9987[/C][C]0.9803[/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=160447&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160447&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
time;compviewsinfo0.89250.89950.726
p-value(0)(0)(0)
time;compviewspr0.39030.4890.3435
p-value(0)(0)(0)
time;reviews0.7580.78920.5899
p-value(0)(0)(0)
time;feedbackm0.76890.80520.6046
p-value(0)(0)(0)
time;totsize0.74620.81180.6171
p-value(0)(0)(0)
time;totrevisions0.78270.8410.639
p-value(0)(0)(0)
time;tothyperlinks0.81640.85880.6675
p-value(0)(0)(0)
time;totblogs0.81430.85730.665
p-value(0)(0)(0)
compviewsinfo;compviewspr0.51860.58490.4206
p-value(0)(0)(0)
compviewsinfo;reviews0.63770.69870.5025
p-value(0)(0)(0)
compviewsinfo;feedbackm0.64140.69960.5037
p-value(0)(0)(0)
compviewsinfo;totsize0.62670.71350.5211
p-value(0)(0)(0)
compviewsinfo;totrevisions0.67360.73320.5335
p-value(0)(0)(0)
compviewsinfo;tothyperlinks0.69060.76590.5676
p-value(0)(0)(0)
compviewsinfo;totblogs0.6890.76590.5668
p-value(0)(0)(0)
compviewspr;reviews0.26330.39390.2823
p-value(0)(0)(0)
compviewspr;feedbackm0.26120.37620.2653
p-value(0)(0)(0)
compviewspr;totsize0.20650.3460.2382
p-value(4e-04)(0)(0)
compviewspr;totrevisions0.17630.36060.248
p-value(0.0026)(0)(0)
compviewspr;tothyperlinks0.19820.39460.2722
p-value(7e-04)(0)(0)
compviewspr;totblogs0.19730.3950.2726
p-value(7e-04)(0)(0)
reviews;feedbackm0.91820.90670.7707
p-value(0)(0)(0)
reviews;totsize0.73450.78990.5825
p-value(0)(0)(0)
reviews;totrevisions0.69780.74290.5478
p-value(0)(0)(0)
reviews;tothyperlinks0.72060.75470.557
p-value(0)(0)(0)
reviews;totblogs0.71970.75580.5563
p-value(0)(0)(0)
feedbackm;totsize0.75530.80890.6106
p-value(0)(0)(0)
feedbackm;totrevisions0.74010.79350.5975
p-value(0)(0)(0)
feedbackm;tothyperlinks0.73310.77010.5684
p-value(0)(0)(0)
feedbackm;totblogs0.7310.77090.5685
p-value(0)(0)(0)
totsize;totrevisions0.80780.82890.6491
p-value(0)(0)(0)
totsize;tothyperlinks0.79780.83840.6548
p-value(0)(0)(0)
totsize;totblogs0.79830.83940.6562
p-value(0)(0)(0)
totrevisions;tothyperlinks0.87460.89390.7162
p-value(0)(0)(0)
totrevisions;totblogs0.87590.8940.7151
p-value(0)(0)(0)
tothyperlinks;totblogs0.99830.99870.9803
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')