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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

Fri, 23 Dec 2011 13:20:54 -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/23/t1324664481twn4at2lx3c22dj.htm/, Retrieved Mon, 29 Apr 2024 22:14:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160619, Retrieved Mon, 29 Apr 2024 22:14:34 +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)

-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [WS 10 Pearson cor...] [2011-12-13 18:44:30] [620e5553455d245695b6e856984b13e0]
-    D      [Kendall tau Correlation Matrix] [4.2.1_niet gefilterd] [2011-12-23 18:20:54] [5e0d67387daac495c180286b1f543191] [Current]

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Dataseries X:

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Histogram

Boxplots

1418	210907	79	94	24188	2
869	120982	58	103	18273	NA
1530	176508	60	93	14130	NA
2172	179321	108	103	32287	4
901	123185	49	51	8654	NA
463	52746	0	70	9245	NA
3201	385534	121	91	33251	NA
371	33170	1	22	1271	NA
1192	101645	20	38	5279	NA
1583	149061	43	93	27101	0
1439	165446	69	60	16373	NA
1764	237213	78	123	19716	0
1495	173326	86	148	17753	-4
1373	133131	44	90	9028	4
2187	258873	104	124	18653	4
1491	180083	63	70	8828	NA
4041	324799	158	168	29498	0
1706	230964	102	115	27563	-1
2152	236785	77	71	18293	0
1036	135473	82	66	22530	NA
1882	202925	115	134	15977	NA
1929	215147	101	117	35082	NA
2242	344297	80	108	16116	1
1220	153935	50	84	15849	NA
1289	132943	83	156	16026	NA
2515	174724	123	120	26569	0
2147	174415	73	114	24785	3
2352	225548	81	94	17569	NA
1638	223632	105	120	23825	-1
1222	124817	47	81	7869	NA
1812	221698	105	110	14975	NA
1677	210767	94	133	37791	NA
1579	170266	44	122	9605	NA
1731	260561	114	158	27295	NA
807	84853	38	109	2746	NA
2452	294424	107	124	34461	4
829	101011	30	39	8098	NA
1940	215641	71	92	4787	NA
2662	325107	84	126	24919	3
186	7176	0	0	603	NA
1499	167542	59	70	16329	NA
865	106408	33	37	12558	1
1793	96560	42	38	7784	0
2527	265769	96	120	28522	-2
2747	269651	106	93	22265	-3
1324	149112	56	95	14459	-4
2702	175824	57	77	14526	NA
1383	152871	59	90	22240	2
1179	111665	39	80	11802	NA
2099	116408	34	31	7623	NA
4308	362301	76	110	11912	2
918	78800	20	66	7935	NA
1831	183167	91	138	18220	-4
3373	277965	115	133	19199	3
1713	150629	85	113	19918	NA
1438	168809	76	100	21884	NA
496	24188	8	7	2694	NA
2253	329267	79	140	15808	NA
744	65029	21	61	3597	NA
1161	101097	30	41	5296	NA
2352	218946	76	96	25239	2
2144	244052	101	164	29801	2
4691	341570	94	78	18450	0
1112	103597	27	49	7132	NA
2694	233328	92	102	34861	5
1973	256462	123	124	35940	NA
1769	206161	75	99	16688	-2
3148	311473	128	129	24683	0
2474	235800	105	62	46230	NA
2084	177939	55	73	10387	NA
1954	207176	56	114	21436	-2
1226	196553	41	99	30546	-3
1389	174184	72	70	19746	NA
1496	143246	67	104	15977	2
2269	187559	75	116	22583	NA
1833	187681	114	91	17274	NA
1268	119016	118	74	16469	NA
1943	182192	77	138	14251	2
893	73566	22	67	3007	NA
1762	194979	66	151	16851	2
1403	167488	69	72	21113	0
1425	143756	105	120	17401	4
1857	275541	116	115	23958	4
1840	243199	88	105	23567	NA
1502	182999	73	104	13065	NA
1441	135649	99	108	15358	NA
1420	152299	62	98	14587	2
1416	120221	53	69	12770	NA
2970	346485	118	111	24021	NA
1317	145790	30	99	9648	NA
1644	193339	100	71	20537	2
870	80953	49	27	7905	NA
1654	122774	24	69	4527	NA
1054	130585	67	107	30495	-4
937	112611	46	73	7117	3
3004	286468	57	107	17719	NA
2008	241066	75	93	27056	NA
2547	148446	135	129	33473	3
1885	204713	68	69	9758	NA
1626	182079	124	118	21115	2
1468	140344	33	73	7236	NA
2445	220516	98	119	13790	NA
1964	243060	58	104	32902	-1
1381	162765	68	107	25131	-3
1369	182613	81	99	30910	NA
1659	232138	131	90	35947	NA
2888	265318	110	197	29848	NA
1290	85574	37	36	6943	0
2845	310839	130	85	42705	NA
1982	225060	93	139	31808	1
1904	232317	118	106	26675	NA
1391	144966	39	50	8435	NA
602	43287	13	64	7409	NA
1743	155754	74	31	14993	NA
1559	164709	81	63	36867	NA
2014	201940	109	92	33835	NA
2143	235454	151	106	24164	NA
2146	220801	51	63	12607	NA
874	99466	28	69	22609	NA
1590	92661	40	41	5892	NA
1590	133328	56	56	17014	-3
1210	61361	27	25	5394	NA
2072	125930	37	65	9178	NA
1281	100750	83	93	6440	3
1401	224549	54	114	21916	NA
834	82316	27	38	4011	NA
1105	102010	28	44	5818	NA
1272	101523	59	87	18647	0
1944	243511	133	110	20556	0
391	22938	12	0	238	NA
761	41566	0	27	70	NA
1605	152474	106	83	22392	0
530	61857	23	30	3913	NA
1988	99923	44	80	12237	NA
1386	132487	71	98	8388	3
2395	317394	116	82	22120	-3
387	21054	4	0	338	NA
1742	209641	62	60	11727	NA
620	22648	12	28	3704	NA
449	31414	18	9	3988	NA
800	46698	14	33	3030	NA
1684	131698	60	59	13520	NA
1050	91735	7	49	1421	NA
2699	244749	98	115	20923	0
1606	184510	64	140	20237	-4
1502	79863	29	49	3219	NA
1204	128423	32	120	3769	2
1138	97839	25	66	12252	-1
568	38214	16	21	1888	NA
1459	151101	48	124	14497	NA
2158	272458	100	152	28864	NA
1111	172494	46	139	21721	3
1421	108043	45	38	4821	NA
2833	328107	129	144	33644	NA
1955	250579	130	120	15923	NA
2922	351067	136	160	42935	NA
1002	158015	59	114	18864	NA
1060	98866	25	39	4977	NA
956	85439	32	78	7785	NA
2186	229242	63	119	17939	2
3604	351619	95	141	23436	5
1035	84207	14	101	325	NA
1417	120445	36	56	13539	NA
3261	324598	113	133	34538	2
1587	131069	47	83	12198	NA
1424	204271	92	116	26924	NA
1701	165543	70	90	12716	NA
1249	141722	19	36	8172	NA
946	116048	50	50	10855	NA
1926	250047	41	61	11932	NA
3352	299775	91	97	14300	NA
1641	195838	111	98	25515	-2
2035	173260	41	78	2805	NA
2312	254488	120	117	29402	0
1369	104389	135	148	16440	NA
1577	136084	27	41	11221	NA
2201	199476	87	105	28732	3
961	92499	25	55	5250	-2
1900	224330	131	132	28608	0
1254	135781	45	44	8092	NA
1335	74408	29	21	4473	NA
1597	81240	58	50	1572	NA
207	14688	4	0	2065	NA
1645	181633	47	73	14817	6
2429	271856	109	86	16714	-3
151	7199	7	0	556	NA
474	46660	12	13	2089	NA
141	17547	0	4	2658	NA
1639	133368	37	57	10695	NA
872	95227	37	48	1669	3
1318	152601	46	46	16267	NA
1018	98146	15	48	7768	0
1383	79619	42	32	7252	NA
1314	59194	7	68	6387	NA
1335	139942	54	87	18715	NA
1403	118612	54	43	7936	-2
910	72880	14	67	8643	NA
616	65475	16	46	7294	1
1407	99643	33	46	4570	NA
771	71965	32	56	7185	NA
766	77272	21	48	10058	NA
473	49289	15	44	2342	NA
1376	135131	38	60	8509	NA
1232	108446	22	65	13275	0
1521	89746	28	55	6816	NA
572	44296	10	38	1930	NA
1059	77648	31	52	8086	NA
1544	181528	32	60	10737	NA
1230	134019	32	54	8033	NA
1206	124064	43	86	7058	NA
1205	92630	27	24	6782	NA
1255	121848	37	52	5401	2
613	52915	20	49	6521	NA
721	81872	32	61	10856	NA
1109	58981	0	61	2154	NA
740	53515	5	81	6117	NA
1126	60812	26	43	5238	NA
728	56375	10	40	4820	NA
689	65490	27	40	5615	NA
592	80949	11	56	4272	NA
995	76302	29	68	8702	2
1613	104011	25	79	15340	NA
2048	98104	55	47	8030	-3
705	67989	23	57	9526	NA
301	30989	5	41	1278	-2
1803	135458	43	29	4236	NA
799	73504	23	3	3023	NA
861	63123	34	60	7196	NA
1186	61254	36	30	3394	NA
1451	74914	35	79	6371	NA
628	31774	0	47	1574	1
1161	81437	37	40	9620	NA
1463	87186	28	48	6978	NA
742	50090	16	36	4911	NA
979	65745	26	42	8645	NA
675	56653	38	49	8987	NA
1241	158399	23	57	5544	NA
676	46455	22	12	3083	NA
1049	73624	30	40	6909	NA
620	38395	16	43	3189	NA
1081	91899	18	33	6745	NA
1688	139526	28	77	16724	NA
736	52164	32	43	4850	NA
617	51567	21	45	7025	NA
812	70551	23	47	6047	NA
1051	84856	29	43	7377	NA
1656	102538	50	45	9078	NA
705	86678	12	50	4605	NA
945	85709	21	35	3238	NA
554	34662	18	7	8100	NA
1597	150580	27	71	9653	-4
982	99611	41	67	8914	NA
222	19349	13	0	786	NA
1212	99373	12	62	6700	NA
1143	86230	21	54	5788	NA
435	30837	8	4	593	NA
532	31706	26	25	4506	NA
882	89806	27	40	6382	NA
608	62088	13	38	5621	NA
459	40151	16	19	3997	NA
578	27634	2	17	520	NA
826	76990	42	67	8891	NA
509	37460	5	14	999	NA
717	54157	37	30	7067	0
637	49862	17	54	4639	NA
857	84337	38	35	5654	NA
830	64175	37	59	6928	NA
652	59382	29	24	1514	1
707	119308	32	58	9238	NA
954	76702	35	42	8204	NA
1461	103425	17	46	5926	NA
672	70344	20	61	5785	NA
778	43410	7	3	4	NA
1141	104838	46	52	5930	NA
680	62215	24	25	3710	NA
1090	69304	40	40	705	NA
616	53117	3	32	443	NA
285	19764	10	4	2416	NA
1145	86680	37	49	7747	NA
733	84105	17	63	5432	0
888	77945	28	67	4913	NA
849	89113	19	32	2650	NA
1182	91005	29	23	2370	NA
528	40248	8	7	775	NA
642	64187	10	54	5576	NA
947	50857	15	37	1352	NA
819	56613	15	35	3080	NA
757	62792	28	51	10205	NA
894	72535	17	39	6095	NA

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	'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160619&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160619&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160619&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	'Gertrude Mary Cox' @ cox.wessa.net

Correlations for all pairs of data series (method=pearson)
	pageviews	time_in_rfc	blogged_comp.	feedb.mess.long	tot.revisions	Result_test
pageviews	1	0.893	0.761	0.671	0.668	0.142
time_in_rfc	0.893	1	0.831	0.769	0.783	0.111
blogged_comp.	0.761	0.831	1	0.774	0.826	0.111
feedb.mess.long	0.671	0.769	0.774	1	0.74	0.143
tot.revisions	0.668	0.783	0.826	0.74	1	0.046
Result_test	0.142	0.111	0.111	0.143	0.046	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_in_rfc & blogged_comp. & feedb.mess.long & tot.revisions & Result_test \tabularnewline
pageviews & 1 & 0.893 & 0.761 & 0.671 & 0.668 & 0.142 \tabularnewline
time_in_rfc & 0.893 & 1 & 0.831 & 0.769 & 0.783 & 0.111 \tabularnewline
blogged_comp. & 0.761 & 0.831 & 1 & 0.774 & 0.826 & 0.111 \tabularnewline
feedb.mess.long & 0.671 & 0.769 & 0.774 & 1 & 0.74 & 0.143 \tabularnewline
tot.revisions & 0.668 & 0.783 & 0.826 & 0.74 & 1 & 0.046 \tabularnewline
Result_test & 0.142 & 0.111 & 0.111 & 0.143 & 0.046 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160619&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_in_rfc[/C][C]blogged_comp.[/C][C]feedb.mess.long[/C][C]tot.revisions[/C][C]Result_test[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.893[/C][C]0.761[/C][C]0.671[/C][C]0.668[/C][C]0.142[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.893[/C][C]1[/C][C]0.831[/C][C]0.769[/C][C]0.783[/C][C]0.111[/C][/ROW]
[ROW][C]blogged_comp.[/C][C]0.761[/C][C]0.831[/C][C]1[/C][C]0.774[/C][C]0.826[/C][C]0.111[/C][/ROW]
[ROW][C]feedb.mess.long[/C][C]0.671[/C][C]0.769[/C][C]0.774[/C][C]1[/C][C]0.74[/C][C]0.143[/C][/ROW]
[ROW][C]tot.revisions[/C][C]0.668[/C][C]0.783[/C][C]0.826[/C][C]0.74[/C][C]1[/C][C]0.046[/C][/ROW]
[ROW][C]Result_test[/C][C]0.142[/C][C]0.111[/C][C]0.111[/C][C]0.143[/C][C]0.046[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160619&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160619&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_in_rfc	blogged_comp.	feedb.mess.long	tot.revisions	Result_test
pageviews	1	0.893	0.761	0.671	0.668	0.142
time_in_rfc	0.893	1	0.831	0.769	0.783	0.111
blogged_comp.	0.761	0.831	1	0.774	0.826	0.111
feedb.mess.long	0.671	0.769	0.774	1	0.74	0.143
tot.revisions	0.668	0.783	0.826	0.74	1	0.046
Result_test	0.142	0.111	0.111	0.143	0.046	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;blogged_comp.	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
pageviews;feedb.mess.long	0.6713	0.7121	0.5211
p-value	(0)	(0)	(0)
pageviews;tot.revisions	0.6678	0.7428	0.5434
p-value	(0)	(0)	(0)
pageviews;Result_test	0.1416	0.1232	0.0887
p-value	(0.1961)	(0.2613)	(0.2552)
time_in_rfc;blogged_comp.	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time_in_rfc;feedb.mess.long	0.7689	0.8052	0.6046
p-value	(0)	(0)	(0)
time_in_rfc;tot.revisions	0.7827	0.841	0.639
p-value	(0)	(0)	(0)
time_in_rfc;Result_test	0.1108	0.0834	0.062
p-value	(0.3129)	(0.4478)	(0.4262)
blogged_comp.;feedb.mess.long	0.7739	0.7791	0.577
p-value	(0)	(0)	(0)
blogged_comp.;tot.revisions	0.8257	0.8465	0.6558
p-value	(0)	(0)	(0)
blogged_comp.;Result_test	0.1108	0.1264	0.0946
p-value	(0.3125)	(0.2492)	(0.2258)
feedb.mess.long;tot.revisions	0.7401	0.7935	0.5975
p-value	(0)	(0)	(0)
feedb.mess.long;Result_test	0.1431	0.1838	0.1271
p-value	(0.1914)	(0.0922)	(0.1046)
tot.revisions;Result_test	0.0463	0.0403	0.0267
p-value	(0.6742)	(0.7141)	(0.7322)

\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;blogged_comp. & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;feedb.mess.long & 0.6713 & 0.7121 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;tot.revisions & 0.6678 & 0.7428 & 0.5434 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;Result_test & 0.1416 & 0.1232 & 0.0887 \tabularnewline
p-value & (0.1961) & (0.2613) & (0.2552) \tabularnewline
time_in_rfc;blogged_comp. & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedb.mess.long & 0.7689 & 0.8052 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;tot.revisions & 0.7827 & 0.841 & 0.639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;Result_test & 0.1108 & 0.0834 & 0.062 \tabularnewline
p-value & (0.3129) & (0.4478) & (0.4262) \tabularnewline
blogged_comp.;feedb.mess.long & 0.7739 & 0.7791 & 0.577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_comp.;tot.revisions & 0.8257 & 0.8465 & 0.6558 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_comp.;Result_test & 0.1108 & 0.1264 & 0.0946 \tabularnewline
p-value & (0.3125) & (0.2492) & (0.2258) \tabularnewline
feedb.mess.long;tot.revisions & 0.7401 & 0.7935 & 0.5975 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedb.mess.long;Result_test & 0.1431 & 0.1838 & 0.1271 \tabularnewline
p-value & (0.1914) & (0.0922) & (0.1046) \tabularnewline
tot.revisions;Result_test & 0.0463 & 0.0403 & 0.0267 \tabularnewline
p-value & (0.6742) & (0.7141) & (0.7322) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160619&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;blogged_comp.[/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;feedb.mess.long[/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]pageviews;tot.revisions[/C][C]0.6678[/C][C]0.7428[/C][C]0.5434[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;Result_test[/C][C]0.1416[/C][C]0.1232[/C][C]0.0887[/C][/ROW]
[ROW][C]p-value[/C][C](0.1961)[/C][C](0.2613)[/C][C](0.2552)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_comp.[/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;feedb.mess.long[/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_in_rfc;tot.revisions[/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_in_rfc;Result_test[/C][C]0.1108[/C][C]0.0834[/C][C]0.062[/C][/ROW]
[ROW][C]p-value[/C][C](0.3129)[/C][C](0.4478)[/C][C](0.4262)[/C][/ROW]
[ROW][C]blogged_comp.;feedb.mess.long[/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]blogged_comp.;tot.revisions[/C][C]0.8257[/C][C]0.8465[/C][C]0.6558[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_comp.;Result_test[/C][C]0.1108[/C][C]0.1264[/C][C]0.0946[/C][/ROW]
[ROW][C]p-value[/C][C](0.3125)[/C][C](0.2492)[/C][C](0.2258)[/C][/ROW]
[ROW][C]feedb.mess.long;tot.revisions[/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]feedb.mess.long;Result_test[/C][C]0.1431[/C][C]0.1838[/C][C]0.1271[/C][/ROW]
[ROW][C]p-value[/C][C](0.1914)[/C][C](0.0922)[/C][C](0.1046)[/C][/ROW]
[ROW][C]tot.revisions;Result_test[/C][C]0.0463[/C][C]0.0403[/C][C]0.0267[/C][/ROW]
[ROW][C]p-value[/C][C](0.6742)[/C][C](0.7141)[/C][C](0.7322)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160619&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160619&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;blogged_comp.	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
pageviews;feedb.mess.long	0.6713	0.7121	0.5211
p-value	(0)	(0)	(0)
pageviews;tot.revisions	0.6678	0.7428	0.5434
p-value	(0)	(0)	(0)
pageviews;Result_test	0.1416	0.1232	0.0887
p-value	(0.1961)	(0.2613)	(0.2552)
time_in_rfc;blogged_comp.	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time_in_rfc;feedb.mess.long	0.7689	0.8052	0.6046
p-value	(0)	(0)	(0)
time_in_rfc;tot.revisions	0.7827	0.841	0.639
p-value	(0)	(0)	(0)
time_in_rfc;Result_test	0.1108	0.0834	0.062
p-value	(0.3129)	(0.4478)	(0.4262)
blogged_comp.;feedb.mess.long	0.7739	0.7791	0.577
p-value	(0)	(0)	(0)
blogged_comp.;tot.revisions	0.8257	0.8465	0.6558
p-value	(0)	(0)	(0)
blogged_comp.;Result_test	0.1108	0.1264	0.0946
p-value	(0.3125)	(0.2492)	(0.2258)
feedb.mess.long;tot.revisions	0.7401	0.7935	0.5975
p-value	(0)	(0)	(0)
feedb.mess.long;Result_test	0.1431	0.1838	0.1271
p-value	(0.1914)	(0.0922)	(0.1046)
tot.revisions;Result_test	0.0463	0.0403	0.0267
p-value	(0.6742)	(0.7141)	(0.7322)

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