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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

Sun, 11 Dec 2011 10:30:13 -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/11/t13236174382159sjmhdunuv4w.htm/, Retrieved Sun, 28 Apr 2024 20:19:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153806, Retrieved Sun, 28 Apr 2024 20:19:48 +0000

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Estimated Impact

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] [] [2011-12-11 15:30:13] [bb550f50666f8cd9962562839f8255be] [Current]

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Dataseries X:

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1655	264530	64	461	85	3
954	135248	59	331	58	4
1740	207253	64	639	57	14
2405	197987	96	1061	132	2
1025	143105	46	310	44	1
577	65295	27	164	42	3
3916	439387	103	1912	94	0
381	33186	19	111	46	0
1817	183696	51	703	71	5
1607	186657	39	556	65	0
1941	276819	99	726	78	0
1752	200779	100	536	55	7
1463	141987	59	560	55	7
2489	313944	69	1005	103	3
1691	196251	76	554	41	10
4301	342434	166	1515	115	0
1917	276692	60	690	46	4
2352	263451	130	940	80	3
1283	157448	49	460	37	3
2108	240201	74	631	50	7
2197	245847	66	719	93	0
2524	396701	94	1081	93	1
1276	157544	37	411	61	5
1470	156189	47	488	57	9
2904	196316	108	1116	150	0
2304	192167	107	847	67	0
2653	249893	122	994	88	5
1709	236812	76	530	54	0
1385	143182	47	524	47	0
2225	282946	55	838	121	0
2007	243048	68	780	44	3
1623	176062	67	551	73	4
1944	287382	81	722	49	1
849	87485	33	280	36	4
2803	343613	88	1108	72	2
2236	247082	52	950	77	0
3308	380797	109	1182	71	0
1668	191653	75	552	63	2
917	114673	31	275	36	1
2951	309038	170	1047	45	2
2982	292891	73	1370	37	10
1422	155568	60	568	65	6
1536	177306	68	571	78	5
1487	146175	51	416	69	5
2369	140319	73	985	82	1
4908	405267	135	1851	780	2
918	78800	42	330	57	2
2085	201970	69	611	72	0
3679	302833	103	1255	112	9
1923	164733	50	812	61	3
1617	194221	69	501	39	0
496	24188	24	218	20	0
2343	346142	289	787	73	8
744	65029	17	255	21	5
1161	101097	64	454	70	3
2722	255082	51	983	124	1
2322	283783	78	609	75	5
3298	295924	164	1006	201	5
2184	280943	121	884	58	0
1863	214872	74	690	67	12
3609	346520	128	1201	65	9
2827	273924	109	1032	138	11
2280	197035	94	919	71	10
2188	231904	81	783	48	8
1303	209798	62	521	54	2
1540	201345	60	409	55	0
1777	180403	121	547	46	6
2418	204441	129	757	84	8
1961	197813	67	736	71	2
1419	136421	61	515	56	5
2293	216092	60	789	55	13
893	73566	32	385	39	6
1958	214064	70	649	52	7
1593	181728	50	667	94	2
1524	150006	53	515	57	0
2037	308343	72	891	83	4
1915	251592	80	773	42	3
1728	202392	103	503	45	6
2002	173286	57	619	52	2
1541	162366	58	565	67	0
1539	132672	42	565	38	1
3391	390163	102	1104	114	0
1356	145905	66	649	45	5
1965	228657	90	551	53	2
870	80953	25	437	31	0
1728	132957	49	739	169	0
1100	135163	50	311	60	5
3380	333962	169	1332	276	1
2241	271806	96	783	84	0
2973	169483	100	1005	67	1
2135	234193	81	737	58	1
1856	207178	69	584	71	2
1568	157117	58	510	80	6
2788	242395	68	1009	89	1
2119	261601	71	838	115	4
1521	178489	35	523	60	3
1505	204221	44	513	69	3
1910	268066	69	706	57	0
3518	335002	134	1153	121	11
3278	361799	102	1281	69	12
2261	247804	107	746	60	8
2128	265849	58	787	81	0
1885	168501	164	597	115	0
602	43287	14	214	43	4
1977	172244	69	662	72	4
1775	189021	121	651	61	0
2283	227681	44	1015	101	0
2402	269329	82	922	50	0
974	106655	57	314	32	0
1447	117891	78	465	78	0
1760	290342	61	572	58	4
2082	266805	78	627	65	0
398	23623	11	156	9	0
1821	174970	69	648	49	0
530	61857	25	192	25	4
1508	144927	44	438	102	0
2709	355619	105	1083	59	1
387	21054	16	146	2	0
1913	230091	46	779	56	5
449	31414	19	200	22	0
3076	280685	107	1117	148	2
1794	209481	58	603	70	7
1456	161691	76	444	91	12
1477	132310	49	581	46	2
568	38214	34	276	52	0
1594	166026	36	546	101	2
2433	316370	74	916	105	0
1223	186273	56	427	58	0
3187	369581	73	1406	130	3
2186	275578	91	743	120	0
3081	368855	109	1075	104	3
1127	172464	31	431	44	0
1045	94381	35	380	48	0
2477	251253	292	806	144	4
3842	382499	154	1367	146	4
1506	118033	43	473	94	14
3810	365575	123	1610	139	0
1730	147989	72	651	67	4
1627	236370	46	528	83	0
1929	193220	77	672	169	1
1595	189020	108	523	69	0
3627	341992	106	1474	99	9
1987	222289	80	698	61	1
2035	173260	63	716	37	3
2538	275969	92	821	54	11
1603	130908	52	556	121	5
2297	208598	77	892	51	2
2268	262412	94	721	52	1
2	1	0	0	0	9
207	14688	10	85	0	0
5	98	1	0	0	0
8	455	2	0	0	0
0	0	0	0	0	1
0	0	0	0	0	0
1785	195812	76	610	51	2
2946	345447	134	973	108	1
0	0	0	0	0	0
4	203	4	0	0	0
151	7199	5	74	0	0
474	46660	20	259	7	0
141	17547	5	69	3	0
976	107465	38	267	80	0
29	969	2	0	0	0
1549	179994	58	518	43	2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153806&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153806&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153806&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	pageviews	time_rfc	logins	comp_views	comp_view_pr	shared_comp
pageviews	1	0.915	0.738	0.968	0.602	0.194
time_rfc	0.915	1	0.708	0.886	0.482	0.157
logins	0.738	0.708	1	0.667	0.43	0.189
comp_views	0.968	0.886	0.667	1	0.584	0.151
comp_view_pr	0.602	0.482	0.43	0.584	1	0.017
shared_comp	0.194	0.157	0.189	0.151	0.017	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_rfc & logins & comp_views & comp_view_pr & shared_comp \tabularnewline
pageviews & 1 & 0.915 & 0.738 & 0.968 & 0.602 & 0.194 \tabularnewline
time_rfc & 0.915 & 1 & 0.708 & 0.886 & 0.482 & 0.157 \tabularnewline
logins & 0.738 & 0.708 & 1 & 0.667 & 0.43 & 0.189 \tabularnewline
comp_views & 0.968 & 0.886 & 0.667 & 1 & 0.584 & 0.151 \tabularnewline
comp_view_pr & 0.602 & 0.482 & 0.43 & 0.584 & 1 & 0.017 \tabularnewline
shared_comp & 0.194 & 0.157 & 0.189 & 0.151 & 0.017 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153806&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_rfc[/C][C]logins[/C][C]comp_views[/C][C]comp_view_pr[/C][C]shared_comp[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.915[/C][C]0.738[/C][C]0.968[/C][C]0.602[/C][C]0.194[/C][/ROW]
[ROW][C]time_rfc[/C][C]0.915[/C][C]1[/C][C]0.708[/C][C]0.886[/C][C]0.482[/C][C]0.157[/C][/ROW]
[ROW][C]logins[/C][C]0.738[/C][C]0.708[/C][C]1[/C][C]0.667[/C][C]0.43[/C][C]0.189[/C][/ROW]
[ROW][C]comp_views[/C][C]0.968[/C][C]0.886[/C][C]0.667[/C][C]1[/C][C]0.584[/C][C]0.151[/C][/ROW]
[ROW][C]comp_view_pr[/C][C]0.602[/C][C]0.482[/C][C]0.43[/C][C]0.584[/C][C]1[/C][C]0.017[/C][/ROW]
[ROW][C]shared_comp[/C][C]0.194[/C][C]0.157[/C][C]0.189[/C][C]0.151[/C][C]0.017[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153806&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153806&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)
	pageviews	time_rfc	logins	comp_views	comp_view_pr	shared_comp
pageviews	1	0.915	0.738	0.968	0.602	0.194
time_rfc	0.915	1	0.708	0.886	0.482	0.157
logins	0.738	0.708	1	0.667	0.43	0.189
comp_views	0.968	0.886	0.667	1	0.584	0.151
comp_view_pr	0.602	0.482	0.43	0.584	1	0.017
shared_comp	0.194	0.157	0.189	0.151	0.017	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_rfc	0.9148	0.8958	0.7439
p-value	(0)	(0)	(0)
pageviews;logins	0.7377	0.8353	0.6642
p-value	(0)	(0)	(0)
pageviews;comp_views	0.9682	0.9657	0.8517
p-value	(0)	(0)	(0)
pageviews;comp_view_pr	0.6022	0.6719	0.5087
p-value	(0)	(0)	(0)
pageviews;shared_comp	0.1937	0.1824	0.1309
p-value	(0.0129)	(0.0194)	(0.0199)
time_rfc;logins	0.7075	0.7813	0.6048
p-value	(0)	(0)	(0)
time_rfc;comp_views	0.8857	0.8593	0.6932
p-value	(0)	(0)	(0)
time_rfc;comp_view_pr	0.4822	0.5933	0.4335
p-value	(0)	(0)	(0)
time_rfc;shared_comp	0.157	0.1631	0.1157
p-value	(0.0446)	(0.037)	(0.0396)
logins;comp_views	0.6668	0.7798	0.6102
p-value	(0)	(0)	(0)
logins;comp_view_pr	0.4304	0.5682	0.4209
p-value	(0)	(0)	(0)
logins;shared_comp	0.1894	0.2127	0.1491
p-value	(0.0152)	(0.0062)	(0.0082)
comp_views;comp_view_pr	0.5839	0.6635	0.4947
p-value	(0)	(0)	(0)
comp_views;shared_comp	0.1514	0.1736	0.1218
p-value	(0.053)	(0.0262)	(0.0304)
comp_view_pr;shared_comp	0.0174	0.0878	0.064
p-value	(0.8253)	(0.2636)	(0.2576)

\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_rfc & 0.9148 & 0.8958 & 0.7439 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7377 & 0.8353 & 0.6642 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;comp_views & 0.9682 & 0.9657 & 0.8517 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;comp_view_pr & 0.6022 & 0.6719 & 0.5087 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;shared_comp & 0.1937 & 0.1824 & 0.1309 \tabularnewline
p-value & (0.0129) & (0.0194) & (0.0199) \tabularnewline
time_rfc;logins & 0.7075 & 0.7813 & 0.6048 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_rfc;comp_views & 0.8857 & 0.8593 & 0.6932 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_rfc;comp_view_pr & 0.4822 & 0.5933 & 0.4335 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_rfc;shared_comp & 0.157 & 0.1631 & 0.1157 \tabularnewline
p-value & (0.0446) & (0.037) & (0.0396) \tabularnewline
logins;comp_views & 0.6668 & 0.7798 & 0.6102 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;comp_view_pr & 0.4304 & 0.5682 & 0.4209 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_comp & 0.1894 & 0.2127 & 0.1491 \tabularnewline
p-value & (0.0152) & (0.0062) & (0.0082) \tabularnewline
comp_views;comp_view_pr & 0.5839 & 0.6635 & 0.4947 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
comp_views;shared_comp & 0.1514 & 0.1736 & 0.1218 \tabularnewline
p-value & (0.053) & (0.0262) & (0.0304) \tabularnewline
comp_view_pr;shared_comp & 0.0174 & 0.0878 & 0.064 \tabularnewline
p-value & (0.8253) & (0.2636) & (0.2576) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153806&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_rfc[/C][C]0.9148[/C][C]0.8958[/C][C]0.7439[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7377[/C][C]0.8353[/C][C]0.6642[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;comp_views[/C][C]0.9682[/C][C]0.9657[/C][C]0.8517[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;comp_view_pr[/C][C]0.6022[/C][C]0.6719[/C][C]0.5087[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;shared_comp[/C][C]0.1937[/C][C]0.1824[/C][C]0.1309[/C][/ROW]
[ROW][C]p-value[/C][C](0.0129)[/C][C](0.0194)[/C][C](0.0199)[/C][/ROW]
[ROW][C]time_rfc;logins[/C][C]0.7075[/C][C]0.7813[/C][C]0.6048[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_rfc;comp_views[/C][C]0.8857[/C][C]0.8593[/C][C]0.6932[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_rfc;comp_view_pr[/C][C]0.4822[/C][C]0.5933[/C][C]0.4335[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_rfc;shared_comp[/C][C]0.157[/C][C]0.1631[/C][C]0.1157[/C][/ROW]
[ROW][C]p-value[/C][C](0.0446)[/C][C](0.037)[/C][C](0.0396)[/C][/ROW]
[ROW][C]logins;comp_views[/C][C]0.6668[/C][C]0.7798[/C][C]0.6102[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;comp_view_pr[/C][C]0.4304[/C][C]0.5682[/C][C]0.4209[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_comp[/C][C]0.1894[/C][C]0.2127[/C][C]0.1491[/C][/ROW]
[ROW][C]p-value[/C][C](0.0152)[/C][C](0.0062)[/C][C](0.0082)[/C][/ROW]
[ROW][C]comp_views;comp_view_pr[/C][C]0.5839[/C][C]0.6635[/C][C]0.4947[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]comp_views;shared_comp[/C][C]0.1514[/C][C]0.1736[/C][C]0.1218[/C][/ROW]
[ROW][C]p-value[/C][C](0.053)[/C][C](0.0262)[/C][C](0.0304)[/C][/ROW]
[ROW][C]comp_view_pr;shared_comp[/C][C]0.0174[/C][C]0.0878[/C][C]0.064[/C][/ROW]
[ROW][C]p-value[/C][C](0.8253)[/C][C](0.2636)[/C][C](0.2576)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153806&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153806&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_rfc	0.9148	0.8958	0.7439
p-value	(0)	(0)	(0)
pageviews;logins	0.7377	0.8353	0.6642
p-value	(0)	(0)	(0)
pageviews;comp_views	0.9682	0.9657	0.8517
p-value	(0)	(0)	(0)
pageviews;comp_view_pr	0.6022	0.6719	0.5087
p-value	(0)	(0)	(0)
pageviews;shared_comp	0.1937	0.1824	0.1309
p-value	(0.0129)	(0.0194)	(0.0199)
time_rfc;logins	0.7075	0.7813	0.6048
p-value	(0)	(0)	(0)
time_rfc;comp_views	0.8857	0.8593	0.6932
p-value	(0)	(0)	(0)
time_rfc;comp_view_pr	0.4822	0.5933	0.4335
p-value	(0)	(0)	(0)
time_rfc;shared_comp	0.157	0.1631	0.1157
p-value	(0.0446)	(0.037)	(0.0396)
logins;comp_views	0.6668	0.7798	0.6102
p-value	(0)	(0)	(0)
logins;comp_view_pr	0.4304	0.5682	0.4209
p-value	(0)	(0)	(0)
logins;shared_comp	0.1894	0.2127	0.1491
p-value	(0.0152)	(0.0062)	(0.0082)
comp_views;comp_view_pr	0.5839	0.6635	0.4947
p-value	(0)	(0)	(0)
comp_views;shared_comp	0.1514	0.1736	0.1218
p-value	(0.053)	(0.0262)	(0.0304)
comp_view_pr;shared_comp	0.0174	0.0878	0.064
p-value	(0.8253)	(0.2636)	(0.2576)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code