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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 14 Dec 2011 08:31:31 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/14/t1323869501qf1l2gn7q356xaa.htm/, Retrieved Wed, 01 May 2024 20:10:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154943, Retrieved Wed, 01 May 2024 20:10:16 +0000

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [] [2011-12-14 13:31:31] [abd09a04ddc145afbf81a913bd861ab8] [Current]

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Dataseries X:

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Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154943&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154943&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154943&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Correlations for all pairs of data series (method=kendall)
	pageviews	time_in_rfc	logins	compendium_views_info	compendium_views_pr
pageviews	1	0.739	0.661	0.849	0.463
time_in_rfc	0.739	1	0.609	0.726	0.344
logins	0.661	0.609	1	0.614	0.379
compendium_views_info	0.849	0.726	0.614	1	0.421
compendium_views_pr	0.463	0.344	0.379	0.421	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pageviews & time_in_rfc & logins & compendium_views_info & compendium_views_pr
 \tabularnewline
pageviews & 1 & 0.739 & 0.661 & 0.849 & 0.463 \tabularnewline
time_in_rfc & 0.739 & 1 & 0.609 & 0.726 & 0.344 \tabularnewline
logins & 0.661 & 0.609 & 1 & 0.614 & 0.379 \tabularnewline
compendium_views_info & 0.849 & 0.726 & 0.614 & 1 & 0.421 \tabularnewline
compendium_views_pr
 & 0.463 & 0.344 & 0.379 & 0.421 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154943&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_in_rfc[/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr
[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.739[/C][C]0.661[/C][C]0.849[/C][C]0.463[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.739[/C][C]1[/C][C]0.609[/C][C]0.726[/C][C]0.344[/C][/ROW]
[ROW][C]logins[/C][C]0.661[/C][C]0.609[/C][C]1[/C][C]0.614[/C][C]0.379[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.849[/C][C]0.726[/C][C]0.614[/C][C]1[/C][C]0.421[/C][/ROW]
[ROW][C]compendium_views_pr
[/C][C]0.463[/C][C]0.344[/C][C]0.379[/C][C]0.421[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154943&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154943&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=kendall)
	pageviews	time_in_rfc	logins	compendium_views_info	compendium_views_pr
pageviews	1	0.739	0.661	0.849	0.463
time_in_rfc	0.739	1	0.609	0.726	0.344
logins	0.661	0.609	1	0.614	0.379
compendium_views_info	0.849	0.726	0.614	1	0.421
compendium_views_pr	0.463	0.344	0.379	0.421	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_in_rfc	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
pageviews;logins	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
pageviews;compendium_views_info	0.9625	0.9665	0.8489
p-value	(0)	(0)	(0)
pageviews;compendium_views_pr	0.5633	0.6332	0.4628
p-value	(0)	(0)	(0)
time_in_rfc;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_info	0.8925	0.8995	0.726
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_pr	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
logins;compendium_views_info	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
compendium_views_info;compendium_views_pr	0.5186	0.5849	0.4206
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
pageviews;time_in_rfc & 0.8928 & 0.9025 & 0.7387 \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
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
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
compendium_views_info;compendium_views_pr
 & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154943&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]pageviews;time_in_rfc[/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]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]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]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]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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154943&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154943&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
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_in_rfc	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
pageviews;logins	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
pageviews;compendium_views_info	0.9625	0.9665	0.8489
p-value	(0)	(0)	(0)
pageviews;compendium_views_pr	0.5633	0.6332	0.4628
p-value	(0)	(0)	(0)
time_in_rfc;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_info	0.8925	0.8995	0.726
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_pr	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
logins;compendium_views_info	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
compendium_views_info;compendium_views_pr	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code