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Description of Statistical Computation

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 computationSun, 18 Dec 2011 08:59:47 -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/18/t1324216840j25xlnfsb6zg943.htm/, Retrieved Sun, 05 May 2024 11:09:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156878, Retrieved Sun, 05 May 2024 11:09:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

Tree of Dependent Computations

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] [Correlation matrix ] [2011-12-18 13:59:47] [4352eab26b4a512b718de67a19830b91] [Current]
-    D      [Kendall tau Correlation Matrix] [Correlation matri...] [2011-12-18 14:16:15] [e13b8cc08ad7cfa5593a43161c1cbb1d]
- R  D        [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-18 14:57:40] [e13b8cc08ad7cfa5593a43161c1cbb1d]
- R  D        [Kendall tau Correlation Matrix] [Pearson Correlati...] [2011-12-18 14:58:40] [e13b8cc08ad7cfa5593a43161c1cbb1d]
- R PD        [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2011-12-18 15:12:05] [e13b8cc08ad7cfa5593a43161c1cbb1d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	1418	56	396	81	79	30	115	94
120982	869	56	297	55	58	28	109	103
176508	1530	54	559	50	60	38	146	93
179321	2172	89	967	125	108	30	116	103
123185	901	40	270	40	49	22	68	51
52746	463	25	143	37	0	26	101	70
385534	3201	92	1562	63	121	25	96	91
33170	371	18	109	44	1	18	67	22
101645	1192	63	371	88	20	11	44	38
149061	1583	44	656	66	43	26	100	93
165446	1439	33	511	57	69	25	93	60
237213	1764	84	655	74	78	38	140	123
173326	1495	88	465	49	86	44	166	148
133131	1373	55	525	52	44	30	99	90
258873	2187	60	885	88	104	40	139	124
180083	1491	66	497	36	63	34	130	70
324799	4041	154	1436	108	158	47	181	168
230964	1706	53	612	43	102	30	116	115
236785	2152	119	865	75	77	31	116	71
135473	1036	41	385	32	82	23	88	66
202925	1882	61	567	44	115	36	139	134
215147	1929	58	639	85	101	36	135	117
344297	2242	75	963	86	80	30	108	108
153935	1220	33	398	56	50	25	89	84
132943	1289	40	410	50	83	39	156	156
174724	2515	92	966	135	123	34	129	120
174415	2147	100	801	63	73	31	118	114
225548	2352	112	892	81	81	31	118	94
223632	1638	73	513	52	105	33	125	120
124817	1222	40	469	44	47	25	95	81
221698	1812	45	683	113	105	33	126	110
210767	1677	60	643	39	94	35	135	133
170266	1579	62	535	73	44	42	154	122
260561	1731	75	625	48	114	43	165	158
84853	807	31	264	33	38	30	113	109
294424	2452	77	992	59	107	33	127	124
101011	829	34	238	41	30	13	52	39
215641	1940	46	818	69	71	32	121	92
325107	2662	99	937	64	84	36	136	126
7176	186	17	70	1	0	0	0	0
167542	1499	66	507	59	59	28	108	70
106408	865	30	260	32	33	14	46	37
96560	1793	76	503	129	42	17	54	38
265769	2527	146	927	37	96	32	124	120
269651	2747	67	1269	31	106	30	115	93
149112	1324	56	537	65	56	35	128	95
175824	2702	107	910	107	57	20	80	77
152871	1383	58	532	74	59	28	97	90
111665	1179	34	345	54	39	28	104	80
116408	2099	61	918	76	34	39	59	31
362301	4308	119	1635	715	76	34	125	110
78800	918	42	330	57	20	26	82	66
183167	1831	66	557	66	91	39	149	138
277965	3373	89	1178	106	115	39	149	133
150629	1713	44	740	54	85	33	122	113
168809	1438	66	452	32	76	28	118	100
24188	496	24	218	20	8	4	12	7
329267	2253	259	764	71	79	39	144	140
65029	744	17	255	21	21	18	67	61
101097	1161	64	454	70	30	14	52	41
218946	2352	41	866	112	76	29	108	96
244052	2144	68	574	66	101	44	166	164
341570	4691	168	1276	190	94	21	80	78
103597	1112	43	379	66	27	16	60	49
233328	2694	132	825	165	92	28	107	102
256462	1973	105	798	56	123	35	127	124
206161	1769	71	663	61	75	28	107	99
311473	3148	112	1069	53	128	38	146	129
235800	2474	94	921	127	105	23	84	62
177939	2084	82	858	63	55	36	141	73
207176	1954	70	711	38	56	32	123	114
196553	1226	57	503	50	41	29	111	99
174184	1389	53	382	52	72	25	98	70
143246	1496	103	464	42	67	27	105	104
187559	2269	121	717	76	75	36	135	116
187681	1833	62	690	67	114	28	107	91
119016	1268	52	462	50	118	23	85	74
182192	1943	52	657	53	77	40	155	138
73566	893	32	385	39	22	23	88	67
194979	1762	62	577	50	66	40	155	151
167488	1403	45	619	77	69	28	104	72
143756	1425	46	479	57	105	34	132	120
275541	1857	63	817	73	116	33	127	115
243199	1840	75	752	34	88	28	108	105
182999	1502	88	430	39	73	34	129	104
135649	1441	46	451	46	99	30	116	108
152299	1420	53	537	63	62	33	122	98
120221	1416	37	519	35	53	22	85	69
346485	2970	90	1000	106	118	38	147	111
145790	1317	63	637	43	30	26	99	99
193339	1644	78	465	47	100	35	87	71
80953	870	25	437	31	49	8	28	27
122774	1654	45	711	162	24	24	90	69
130585	1054	46	299	57	67	29	109	107
112611	937	41	248	36	46	20	78	73
286468	3004	144	1162	263	57	29	111	107
241066	2008	82	714	78	75	45	158	93
148446	2547	91	905	63	135	37	141	129
204713	1885	71	649	54	68	33	122	69
182079	1626	63	512	63	124	33	124	118
140344	1468	53	472	77	33	25	93	73
220516	2445	62	905	79	98	32	124	119
243060	1964	63	786	110	58	29	112	104
162765	1381	32	489	56	68	28	108	107
182613	1369	39	479	56	81	28	99	99
232138	1659	62	617	43	131	31	117	90
265318	2888	117	925	111	110	52	199	197
85574	1290	34	351	71	37	21	78	36
310839	2845	92	1144	62	130	24	91	85
225060	1982	93	669	56	93	41	158	139
232317	1904	54	707	74	118	33	126	106
144966	1391	144	458	60	39	32	122	50
43287	602	14	214	43	13	19	71	64
155754	1743	61	599	68	74	20	75	31
164709	1559	109	572	53	81	31	115	63
201940	2014	38	897	87	109	31	119	92
235454	2143	73	819	46	151	32	124	106
220801	2146	75	720	105	51	18	72	63
99466	874	50	273	32	28	23	91	69
92661	1590	61	508	133	40	17	45	41
133328	1590	55	506	79	56	20	78	56
61361	1210	77	451	51	27	12	39	25
125930	2072	75	699	207	37	17	68	65
100750	1281	72	407	67	83	30	119	93
224549	1401	50	465	47	54	31	117	114
82316	834	32	245	34	27	10	39	38
102010	1105	53	370	66	28	13	50	44
101523	1272	42	316	76	59	22	88	87
243511	1944	71	603	65	133	42	155	110
22938	391	10	154	9	12	1	0	0
41566	761	35	229	42	0	9	36	27
152474	1605	65	577	45	106	32	123	83
61857	530	25	192	25	23	11	32	30
99923	1988	66	617	115	44	25	99	80
132487	1386	41	411	97	71	36	136	98
317394	2395	86	975	53	116	31	117	82
21054	387	16	146	2	4	0	0	0
209641	1742	42	705	52	62	24	88	60
22648	620	19	184	44	12	13	39	28
31414	449	19	200	22	18	8	25	9
46698	800	45	274	35	14	13	52	33
131698	1684	65	502	74	60	19	75	59
91735	1050	35	382	103	7	18	71	49
244749	2699	95	964	144	98	33	124	115
184510	1606	49	537	60	64	40	151	140
79863	1502	37	438	134	29	22	71	49
128423	1204	64	369	89	32	38	145	120
97839	1138	38	417	42	25	24	87	66
38214	568	34	276	52	16	8	27	21
151101	1459	32	514	98	48	35	131	124
272458	2158	65	822	99	100	43	162	152
172494	1111	52	389	52	46	43	165	139
108043	1421	62	466	29	45	14	54	38
328107	2833	65	1255	125	129	41	159	144
250579	1955	83	694	106	130	38	147	120
351067	2922	95	1024	95	136	45	170	160
158015	1002	29	400	40	59	31	119	114
98866	1060	18	397	140	25	13	49	39
85439	956	33	350	43	32	28	104	78
229242	2186	247	719	128	63	31	120	119
351619	3604	139	1277	142	95	40	150	141
84207	1035	29	356	73	14	30	112	101
120445	1417	118	457	72	36	16	59	56
324598	3261	110	1402	128	113	37	136	133
131069	1587	67	600	61	47	30	107	83
204271	1424	42	480	73	92	35	130	116
165543	1701	65	595	148	70	32	115	90
141722	1249	94	436	64	19	27	107	36
116048	946	64	230	45	50	20	75	50
250047	1926	81	651	58	41	18	71	61
299775	3352	95	1367	97	91	31	120	97
195838	1641	67	564	50	111	31	116	98
173260	2035	63	716	37	41	21	79	78
254488	2312	83	747	50	120	39	150	117
104389	1369	45	467	105	135	41	156	148
136084	1577	30	671	69	27	13	51	41
199476	2201	70	861	46	87	32	118	105
92499	961	32	319	57	25	18	71	55
224330	1900	83	612	52	131	39	144	132
135781	1254	31	433	98	45	14	47	44
74408	1335	67	434	61	29	7	28	21
81240	1597	66	503	89	58	17	68	50
14688	207	10	85	0	4	0	0	0
181633	1645	70	564	48	47	30	110	73
271856	2429	103	824	91	109	37	147	86
7199	151	5	74	0	7	0	0	0
46660	474	20	259	7	12	5	15	13
17547	141	5	69	3	0	1	4	4
133368	1639	36	535	54	37	16	64	57
95227	872	34	239	70	37	32	111	48
152601	1318	48	438	36	46	24	85	46
98146	1018	40	459	37	15	17	68	48
79619	1383	43	426	123	42	11	40	32
59194	1314	31	288	247	7	24	80	68
139942	1335	42	498	46	54	22	88	87
118612	1403	46	454	72	54	12	48	43
72880	910	33	376	41	14	19	76	67
65475	616	18	225	24	16	13	51	46
99643	1407	55	555	45	33	17	67	46
71965	771	35	252	33	32	15	59	56
77272	766	59	208	27	21	16	61	48
49289	473	19	130	36	15	24	76	44
135131	1376	66	481	87	38	15	60	60
108446	1232	60	389	90	22	17	68	65
89746	1521	36	565	114	28	18	71	55
44296	572	25	173	31	10	20	76	38
77648	1059	47	278	45	31	16	62	52
181528	1544	54	609	69	32	16	61	60
134019	1230	53	422	51	32	18	67	54
124064	1206	40	445	34	43	22	88	86
92630	1205	40	387	60	27	8	30	24
121848	1255	39	339	45	37	17	64	52
52915	613	14	181	54	20	18	68	49
81872	721	45	245	25	32	16	64	61
58981	1109	36	384	38	0	23	91	61
53515	740	28	212	52	5	22	88	81
60812	1126	44	399	67	26	13	52	43
56375	728	30	229	74	10	13	49	40
65490	689	22	224	38	27	16	62	40
80949	592	17	203	30	11	16	61	56
76302	995	31	333	26	29	20	76	68
104011	1613	55	384	67	25	22	88	79
98104	2048	54	636	132	55	17	66	47
67989	705	21	185	42	23	18	71	57
30989	301	14	93	35	5	17	68	41
135458	1803	81	581	118	43	12	48	29
73504	799	35	248	68	23	7	25	3
63123	861	43	304	43	34	17	68	60
61254	1186	46	344	76	36	14	41	30
74914	1451	30	407	64	35	23	90	79
31774	628	23	170	48	0	17	66	47
81437	1161	38	312	64	37	14	54	40
87186	1463	54	507	56	28	15	59	48
50090	742	20	224	71	16	17	60	36
65745	979	53	340	75	26	21	77	42
56653	675	45	168	39	38	18	68	49
158399	1241	39	443	42	23	18	72	57
46455	676	20	204	39	22	17	67	12
73624	1049	24	367	93	30	17	64	40
38395	620	31	210	38	16	16	63	43
91899	1081	35	335	60	18	15	59	33
139526	1688	151	364	71	28	21	84	77
52164	736	52	178	52	32	16	64	43
51567	617	30	206	27	21	14	56	45
70551	812	31	279	59	23	15	54	47
84856	1051	29	387	40	29	17	67	43
102538	1656	57	490	79	50	15	58	45
86678	705	40	238	44	12	15	59	50
85709	945	44	343	65	21	10	40	35
34662	554	25	232	10	18	6	22	7
150580	1597	77	530	124	27	22	83	71
99611	982	35	291	81	41	21	81	67
19349	222	11	67	15	13	1	2	0
99373	1212	63	397	92	12	18	72	62
86230	1143	44	467	42	21	17	61	54
30837	435	19	178	10	8	4	15	4
31706	532	13	175	24	26	10	32	25
89806	882	42	299	64	27	16	62	40
62088	608	38	154	45	13	16	58	38
40151	459	29	106	22	16	9	36	19
27634	578	20	189	56	2	16	59	17
76990	826	27	194	94	42	17	68	67
37460	509	20	135	19	5	7	21	14
54157	717	19	201	35	37	15	55	30
49862	637	37	207	32	17	14	54	54
84337	857	26	280	35	38	14	55	35
64175	830	42	260	48	37	18	72	59
59382	652	49	227	49	29	12	41	24
119308	707	30	239	48	32	16	61	58
76702	954	49	333	62	35	21	67	42
103425	1461	67	428	96	17	19	76	46
70344	672	28	230	45	20	16	64	61
43410	778	19	292	63	7	1	3	3
104838	1141	49	350	71	46	16	63	52
62215	680	27	186	26	24	10	40	25
69304	1090	30	326	48	40	19	69	40
53117	616	22	155	29	3	12	48	32
19764	285	12	75	19	10	2	8	4
86680	1145	31	361	45	37	14	52	49
84105	733	20	261	45	17	17	66	63
77945	888	20	299	67	28	19	76	67
89113	849	39	300	30	19	14	43	32
91005	1182	29	450	36	29	11	39	23
40248	528	16	183	34	8	4	14	7
64187	642	27	238	36	10	16	61	54
50857	947	21	165	34	15	20	71	37
56613	819	19	234	37	15	12	44	35
62792	757	35	176	46	28	15	60	51
72535	894	14	329	44	17	16	64	39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156878&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156878&T=0

As an alternative you can also use a QR Code:  
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'AstonUniversity' @ aston.wessa.net






Correlations for all pairs of data series (method=pearson)
time_in_RFCpageviewsloginscompendium_views_infocompendium_views_prblogged_computationscompendium_reviewedfeedback_messages_p1feedback_messages_p120
time_in_RFC10.8930.7160.8930.390.8310.7580.7640.769
pageviews0.89310.7590.9620.5630.7610.6650.6640.671
logins0.7160.75910.6920.3880.5660.5490.5530.546
compendium_views_info0.8930.9620.69210.5190.7490.6380.6320.641
compendium_views_pr0.390.5630.3880.51910.2290.2630.2550.261
blogged_computations0.8310.7610.5660.7490.22910.7620.7680.774
compendium_reviewed0.7580.6650.5490.6380.2630.76210.9840.918
feedback_messages_p10.7640.6640.5530.6320.2550.7680.98410.94
feedback_messages_p1200.7690.6710.5460.6410.2610.7740.9180.941

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_in_RFC & pageviews & logins & compendium_views_info & compendium_views_pr & blogged_computations & compendium_reviewed & feedback_messages_p1 & feedback_messages_p120 \tabularnewline
time_in_RFC & 1 & 0.893 & 0.716 & 0.893 & 0.39 & 0.831 & 0.758 & 0.764 & 0.769 \tabularnewline
pageviews & 0.893 & 1 & 0.759 & 0.962 & 0.563 & 0.761 & 0.665 & 0.664 & 0.671 \tabularnewline
logins & 0.716 & 0.759 & 1 & 0.692 & 0.388 & 0.566 & 0.549 & 0.553 & 0.546 \tabularnewline
compendium_views_info & 0.893 & 0.962 & 0.692 & 1 & 0.519 & 0.749 & 0.638 & 0.632 & 0.641 \tabularnewline
compendium_views_pr & 0.39 & 0.563 & 0.388 & 0.519 & 1 & 0.229 & 0.263 & 0.255 & 0.261 \tabularnewline
blogged_computations & 0.831 & 0.761 & 0.566 & 0.749 & 0.229 & 1 & 0.762 & 0.768 & 0.774 \tabularnewline
compendium_reviewed & 0.758 & 0.665 & 0.549 & 0.638 & 0.263 & 0.762 & 1 & 0.984 & 0.918 \tabularnewline
feedback_messages_p1 & 0.764 & 0.664 & 0.553 & 0.632 & 0.255 & 0.768 & 0.984 & 1 & 0.94 \tabularnewline
feedback_messages_p120 & 0.769 & 0.671 & 0.546 & 0.641 & 0.261 & 0.774 & 0.918 & 0.94 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156878&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]time_in_RFC[/C][C]pageviews[/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]blogged_computations[/C][C]compendium_reviewed[/C][C]feedback_messages_p1[/C][C]feedback_messages_p120[/C][/ROW]
[ROW][C]time_in_RFC[/C][C]1[/C][C]0.893[/C][C]0.716[/C][C]0.893[/C][C]0.39[/C][C]0.831[/C][C]0.758[/C][C]0.764[/C][C]0.769[/C][/ROW]
[ROW][C]pageviews[/C][C]0.893[/C][C]1[/C][C]0.759[/C][C]0.962[/C][C]0.563[/C][C]0.761[/C][C]0.665[/C][C]0.664[/C][C]0.671[/C][/ROW]
[ROW][C]logins[/C][C]0.716[/C][C]0.759[/C][C]1[/C][C]0.692[/C][C]0.388[/C][C]0.566[/C][C]0.549[/C][C]0.553[/C][C]0.546[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.893[/C][C]0.962[/C][C]0.692[/C][C]1[/C][C]0.519[/C][C]0.749[/C][C]0.638[/C][C]0.632[/C][C]0.641[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.39[/C][C]0.563[/C][C]0.388[/C][C]0.519[/C][C]1[/C][C]0.229[/C][C]0.263[/C][C]0.255[/C][C]0.261[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.831[/C][C]0.761[/C][C]0.566[/C][C]0.749[/C][C]0.229[/C][C]1[/C][C]0.762[/C][C]0.768[/C][C]0.774[/C][/ROW]
[ROW][C]compendium_reviewed[/C][C]0.758[/C][C]0.665[/C][C]0.549[/C][C]0.638[/C][C]0.263[/C][C]0.762[/C][C]1[/C][C]0.984[/C][C]0.918[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.764[/C][C]0.664[/C][C]0.553[/C][C]0.632[/C][C]0.255[/C][C]0.768[/C][C]0.984[/C][C]1[/C][C]0.94[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.769[/C][C]0.671[/C][C]0.546[/C][C]0.641[/C][C]0.261[/C][C]0.774[/C][C]0.918[/C][C]0.94[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156878&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
time_in_RFCpageviewsloginscompendium_views_infocompendium_views_prblogged_computationscompendium_reviewedfeedback_messages_p1feedback_messages_p120
time_in_RFC10.8930.7160.8930.390.8310.7580.7640.769
pageviews0.89310.7590.9620.5630.7610.6650.6640.671
logins0.7160.75910.6920.3880.5660.5490.5530.546
compendium_views_info0.8930.9620.69210.5190.7490.6380.6320.641
compendium_views_pr0.390.5630.3880.51910.2290.2630.2550.261
blogged_computations0.8310.7610.5660.7490.22910.7620.7680.774
compendium_reviewed0.7580.6650.5490.6380.2630.76210.9840.918
feedback_messages_p10.7640.6640.5530.6320.2550.7680.98410.94
feedback_messages_p1200.7690.6710.5460.6410.2610.7740.9180.941






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_RFC;pageviews0.89280.90250.7387
p-value(0)(0)(0)
time_in_RFC;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_RFC;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_RFC;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_RFC;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_RFC;compendium_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_RFC;feedback_messages_p10.76350.79660.5916
p-value(0)(0)(0)
time_in_RFC;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
p-value(0)(0)(0)
pageviews;compendium_views_info0.96250.96650.8489
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
p-value(0)(0)(0)
pageviews;blogged_computations0.76060.82490.6272
p-value(0)(0)(0)
pageviews;compendium_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;feedback_messages_p10.66430.71290.5187
p-value(0)(0)(0)
pageviews;feedback_messages_p1200.67130.71210.5211
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;compendium_views_pr0.38820.52260.3788
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendium_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;feedback_messages_p10.55260.62880.4486
p-value(0)(0)(0)
logins;feedback_messages_p1200.54620.61660.4437
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.51860.58490.4206
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;compendium_reviewed0.63770.69870.5025
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p10.63250.6930.4942
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p1200.64140.69960.5037
p-value(0)(0)(0)
compendium_views_pr;blogged_computations0.22890.41730.2892
p-value(1e-04)(0)(0)
compendium_views_pr;compendium_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p10.25470.38020.2682
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
blogged_computations;compendium_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;feedback_messages_p10.76760.77670.573
p-value(0)(0)(0)
blogged_computations;feedback_messages_p1200.77390.77910.577
p-value(0)(0)(0)
compendium_reviewed;feedback_messages_p10.9840.98110.9389
p-value(0)(0)(0)
compendium_reviewed;feedback_messages_p1200.91820.90670.7707
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p1200.93960.93350.7989
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_in_RFC;pageviews & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;compendium_views_info & 0.8925 & 0.8995 & 0.726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;compendium_views_pr & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;blogged_computations & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;compendium_reviewed & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;feedback_messages_p1 & 0.7635 & 0.7966 & 0.5916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_RFC;feedback_messages_p120 & 0.7689 & 0.8052 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7588 & 0.845 & 0.6609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_info & 0.9625 & 0.9665 & 0.8489 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_pr & 0.5633 & 0.6332 & 0.4628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;blogged_computations & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_reviewed & 0.6652 & 0.7185 & 0.5273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;feedback_messages_p1 & 0.6643 & 0.7129 & 0.5187 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;feedback_messages_p120 & 0.6713 & 0.7121 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_pr & 0.3882 & 0.5226 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_reviewed & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;feedback_messages_p1 & 0.5526 & 0.6288 & 0.4486 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;feedback_messages_p120 & 0.5462 & 0.6166 & 0.4437 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_views_pr & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;blogged_computations & 0.7489 & 0.8051 & 0.6045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_reviewed & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;feedback_messages_p1 & 0.6325 & 0.693 & 0.4942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;feedback_messages_p120 & 0.6414 & 0.6996 & 0.5037 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;blogged_computations & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
compendium_views_pr;compendium_reviewed & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p1 & 0.2547 & 0.3802 & 0.2682 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p120 & 0.2612 & 0.3762 & 0.2653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendium_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p1 & 0.7676 & 0.7767 & 0.573 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p120 & 0.7739 & 0.7791 & 0.577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_reviewed;feedback_messages_p1 & 0.984 & 0.9811 & 0.9389 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_reviewed;feedback_messages_p120 & 0.9182 & 0.9067 & 0.7707 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;feedback_messages_p120 & 0.9396 & 0.9335 & 0.7989 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156878&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_in_RFC;pageviews[/C][C]0.8928[/C][C]0.9025[/C][C]0.7387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_RFC;logins[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_RFC;compendium_views_info[/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_in_RFC;compendium_views_pr[/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_in_RFC;blogged_computations[/C][C]0.8309[/C][C]0.8717[/C][C]0.683[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_RFC;compendium_reviewed[/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_in_RFC;feedback_messages_p1[/C][C]0.7635[/C][C]0.7966[/C][C]0.5916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_RFC;feedback_messages_p120[/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]pageviews;logins[/C][C]0.7588[/C][C]0.845[/C][C]0.6609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_info[/C][C]0.9625[/C][C]0.9665[/C][C]0.8489[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_pr[/C][C]0.5633[/C][C]0.6332[/C][C]0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.7606[/C][C]0.8249[/C][C]0.6272[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_reviewed[/C][C]0.6652[/C][C]0.7185[/C][C]0.5273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;feedback_messages_p1[/C][C]0.6643[/C][C]0.7129[/C][C]0.5187[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;feedback_messages_p120[/C][C]0.6713[/C][C]0.7121[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/C][C]0.6919[/C][C]0.8018[/C][C]0.6142[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_pr[/C][C]0.3882[/C][C]0.5226[/C][C]0.3788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.5661[/C][C]0.7178[/C][C]0.523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_reviewed[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;feedback_messages_p1[/C][C]0.5526[/C][C]0.6288[/C][C]0.4486[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;feedback_messages_p120[/C][C]0.5462[/C][C]0.6166[/C][C]0.4437[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/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]compendium_views_info;blogged_computations[/C][C]0.7489[/C][C]0.8051[/C][C]0.6045[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_reviewed[/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]compendium_views_info;feedback_messages_p1[/C][C]0.6325[/C][C]0.693[/C][C]0.4942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p120[/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]compendium_views_pr;blogged_computations[/C][C]0.2289[/C][C]0.4173[/C][C]0.2892[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;compendium_reviewed[/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]compendium_views_pr;feedback_messages_p1[/C][C]0.2547[/C][C]0.3802[/C][C]0.2682[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p120[/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]blogged_computations;compendium_reviewed[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p1[/C][C]0.7676[/C][C]0.7767[/C][C]0.573[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p120[/C][C]0.7739[/C][C]0.7791[/C][C]0.577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_reviewed;feedback_messages_p1[/C][C]0.984[/C][C]0.9811[/C][C]0.9389[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_reviewed;feedback_messages_p120[/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]feedback_messages_p1;feedback_messages_p120[/C][C]0.9396[/C][C]0.9335[/C][C]0.7989[/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=156878&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156878&T=2

As an alternative you can also use a QR Code:  
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_in_RFC;pageviews0.89280.90250.7387
p-value(0)(0)(0)
time_in_RFC;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_RFC;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_RFC;compendium_views_pr0.39030.4890.3435
p-value(0)(0)(0)
time_in_RFC;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_RFC;compendium_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_RFC;feedback_messages_p10.76350.79660.5916
p-value(0)(0)(0)
time_in_RFC;feedback_messages_p1200.76890.80520.6046
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
p-value(0)(0)(0)
pageviews;compendium_views_info0.96250.96650.8489
p-value(0)(0)(0)
pageviews;compendium_views_pr0.56330.63320.4628
p-value(0)(0)(0)
pageviews;blogged_computations0.76060.82490.6272
p-value(0)(0)(0)
pageviews;compendium_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;feedback_messages_p10.66430.71290.5187
p-value(0)(0)(0)
pageviews;feedback_messages_p1200.67130.71210.5211
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;compendium_views_pr0.38820.52260.3788
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendium_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;feedback_messages_p10.55260.62880.4486
p-value(0)(0)(0)
logins;feedback_messages_p1200.54620.61660.4437
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.51860.58490.4206
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;compendium_reviewed0.63770.69870.5025
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p10.63250.6930.4942
p-value(0)(0)(0)
compendium_views_info;feedback_messages_p1200.64140.69960.5037
p-value(0)(0)(0)
compendium_views_pr;blogged_computations0.22890.41730.2892
p-value(1e-04)(0)(0)
compendium_views_pr;compendium_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p10.25470.38020.2682
p-value(0)(0)(0)
compendium_views_pr;feedback_messages_p1200.26120.37620.2653
p-value(0)(0)(0)
blogged_computations;compendium_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;feedback_messages_p10.76760.77670.573
p-value(0)(0)(0)
blogged_computations;feedback_messages_p1200.77390.77910.577
p-value(0)(0)(0)
compendium_reviewed;feedback_messages_p10.9840.98110.9389
p-value(0)(0)(0)
compendium_reviewed;feedback_messages_p1200.91820.90670.7707
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p1200.93960.93350.7989
p-value(0)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

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')