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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 05:57:56 -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/t1323860308tl9zuxb5vaefhmz.htm/, Retrieved Wed, 01 May 2024 15:02:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154846, Retrieved Wed, 01 May 2024 15:02:10 +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] [Pearson Correlati...] [2011-12-14 10:57:56] [0f3e8e7e39f9d04dccdcd37cd9447b26] [Current]

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

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	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.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=154846&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]'Herman Ole Andreas Wold' @ wold.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=154846&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154846&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	'Herman Ole Andreas Wold' @ wold.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=pearson)
	pageviews	time_in_rfc	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	gender
pageviews	1	0.877	0.739	0.959	0.546	0.228	0.73	-0.053
time_in_rfc	0.877	1	0.691	0.877	0.354	0.224	0.809	-0.009
logins	0.739	0.691	1	0.671	0.357	0.206	0.533	-0.066
compendium_views_info	0.959	0.877	0.671	1	0.5	0.21	0.715	-0.03
compendium_views_pr	0.546	0.354	0.357	0.5	1	0.03	0.183	-0.039
shared_compendiums	0.228	0.224	0.206	0.21	0.03	1	0.16	0.171
blogged_computations	0.73	0.809	0.533	0.715	0.183	0.16	1	0.081
gender	-0.053	-0.009	-0.066	-0.03	-0.039	0.171	0.081	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_in_rfc & logins & compendium_views_info & compendium_views_pr & shared_compendiums & blogged_computations & gender
 \tabularnewline
pageviews & 1 & 0.877 & 0.739 & 0.959 & 0.546 & 0.228 & 0.73 & -0.053 \tabularnewline
time_in_rfc & 0.877 & 1 & 0.691 & 0.877 & 0.354 & 0.224 & 0.809 & -0.009 \tabularnewline
logins & 0.739 & 0.691 & 1 & 0.671 & 0.357 & 0.206 & 0.533 & -0.066 \tabularnewline
compendium_views_info & 0.959 & 0.877 & 0.671 & 1 & 0.5 & 0.21 & 0.715 & -0.03 \tabularnewline
compendium_views_pr & 0.546 & 0.354 & 0.357 & 0.5 & 1 & 0.03 & 0.183 & -0.039 \tabularnewline
shared_compendiums & 0.228 & 0.224 & 0.206 & 0.21 & 0.03 & 1 & 0.16 & 0.171 \tabularnewline
blogged_computations & 0.73 & 0.809 & 0.533 & 0.715 & 0.183 & 0.16 & 1 & 0.081 \tabularnewline
gender
 & -0.053 & -0.009 & -0.066 & -0.03 & -0.039 & 0.171 & 0.081 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154846&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]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]shared_compendiums[/C][C]blogged_computations[/C][C]gender
[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.877[/C][C]0.739[/C][C]0.959[/C][C]0.546[/C][C]0.228[/C][C]0.73[/C][C]-0.053[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.877[/C][C]1[/C][C]0.691[/C][C]0.877[/C][C]0.354[/C][C]0.224[/C][C]0.809[/C][C]-0.009[/C][/ROW]
[ROW][C]logins[/C][C]0.739[/C][C]0.691[/C][C]1[/C][C]0.671[/C][C]0.357[/C][C]0.206[/C][C]0.533[/C][C]-0.066[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.959[/C][C]0.877[/C][C]0.671[/C][C]1[/C][C]0.5[/C][C]0.21[/C][C]0.715[/C][C]-0.03[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.546[/C][C]0.354[/C][C]0.357[/C][C]0.5[/C][C]1[/C][C]0.03[/C][C]0.183[/C][C]-0.039[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.228[/C][C]0.224[/C][C]0.206[/C][C]0.21[/C][C]0.03[/C][C]1[/C][C]0.16[/C][C]0.171[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.73[/C][C]0.809[/C][C]0.533[/C][C]0.715[/C][C]0.183[/C][C]0.16[/C][C]1[/C][C]0.081[/C][/ROW]
[ROW][C]gender
[/C][C]-0.053[/C][C]-0.009[/C][C]-0.066[/C][C]-0.03[/C][C]-0.039[/C][C]0.171[/C][C]0.081[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154846&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154846&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	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	gender
pageviews	1	0.877	0.739	0.959	0.546	0.228	0.73	-0.053
time_in_rfc	0.877	1	0.691	0.877	0.354	0.224	0.809	-0.009
logins	0.739	0.691	1	0.671	0.357	0.206	0.533	-0.066
compendium_views_info	0.959	0.877	0.671	1	0.5	0.21	0.715	-0.03
compendium_views_pr	0.546	0.354	0.357	0.5	1	0.03	0.183	-0.039
shared_compendiums	0.228	0.224	0.206	0.21	0.03	1	0.16	0.171
blogged_computations	0.73	0.809	0.533	0.715	0.183	0.16	1	0.081
gender	-0.053	-0.009	-0.066	-0.03	-0.039	0.171	0.081	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;time_in_rfc	0.8767	0.8755	0.7062
p-value	(0)	(0)	(0)
pageviews;logins	0.7386	0.8149	0.6351
p-value	(0)	(0)	(0)
pageviews;compendium_views_info	0.9589	0.9637	0.843
p-value	(0)	(0)	(0)
pageviews;compendium_views_pr	0.5457	0.5846	0.4244
p-value	(0)	(0)	(0)
pageviews;shared_compendiums	0.228	0.2501	0.1817
p-value	(4e-04)	(1e-04)	(1e-04)
pageviews;blogged_computations	0.7297	0.7945	0.5993
p-value	(0)	(0)	(0)
pageviews;gender	-0.0532	-0.0324	-0.0266
p-value	(0.5168)	(0.6925)	(0.6911)
time_in_rfc;logins	0.6914	0.7565	0.5714
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_info	0.8765	0.8747	0.6975
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_pr	0.354	0.4042	0.2821
p-value	(0)	(0)	(0)
time_in_rfc;shared_compendiums	0.2241	0.2478	0.1812
p-value	(5e-04)	(1e-04)	(1e-04)
time_in_rfc;blogged_computations	0.8092	0.8543	0.6701
p-value	(0)	(0)	(0)
time_in_rfc;gender	-0.0085	-0.0019	-0.0015
p-value	(0.9172)	(0.9819)	(0.9818)
logins;compendium_views_info	0.671	0.7707	0.5869
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3567	0.446	0.3209
p-value	(0)	(0)	(0)
logins;shared_compendiums	0.2057	0.2095	0.1538
p-value	(0.0015)	(0.0012)	(0.0012)
logins;blogged_computations	0.533	0.6794	0.4911
p-value	(0)	(0)	(0)
logins;gender	-0.0664	0.0042	0.0035
p-value	(0.4179)	(0.9593)	(0.9591)
compendium_views_info;compendium_views_pr	0.4995	0.5384	0.3855
p-value	(0)	(0)	(0)
compendium_views_info;shared_compendiums	0.2095	0.2416	0.1765
p-value	(0.0012)	(2e-04)	(2e-04)
compendium_views_info;blogged_computations	0.7148	0.7714	0.5764
p-value	(0)	(0)	(0)
compendium_views_info;gender	-0.03	-0.0297	-0.0243
p-value	(0.7147)	(0.7178)	(0.7165)
compendium_views_pr;shared_compendiums	0.0299	0.0757	0.0568
p-value	(0.6469)	(0.2454)	(0.2329)
compendium_views_pr;blogged_computations	0.1828	0.3421	0.2348
p-value	(0.0048)	(0)	(0)
compendium_views_pr;gender	-0.0386	0.0233	0.0192
p-value	(0.6378)	(0.7765)	(0.7755)
shared_compendiums;blogged_computations	0.1602	0.1858	0.1387
p-value	(0.0135)	(0.0041)	(0.0035)
shared_compendiums;gender	0.1714	0.2197	0.1967
p-value	(0.0354)	(0.0067)	(0.0071)
blogged_computations;gender	0.0812	0.0876	0.072
p-value	(0.3216)	(0.285)	(0.2835)

\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 & 0.8767 & 0.8755 & 0.7062 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7386 & 0.8149 & 0.6351 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_info & 0.9589 & 0.9637 & 0.843 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_pr & 0.5457 & 0.5846 & 0.4244 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;shared_compendiums & 0.228 & 0.2501 & 0.1817 \tabularnewline
p-value & (4e-04) & (1e-04) & (1e-04) \tabularnewline
pageviews;blogged_computations & 0.7297 & 0.7945 & 0.5993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;gender
 & -0.0532 & -0.0324 & -0.0266 \tabularnewline
p-value & (0.5168) & (0.6925) & (0.6911) \tabularnewline
time_in_rfc;logins & 0.6914 & 0.7565 & 0.5714 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8765 & 0.8747 & 0.6975 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.354 & 0.4042 & 0.2821 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;shared_compendiums & 0.2241 & 0.2478 & 0.1812 \tabularnewline
p-value & (5e-04) & (1e-04) & (1e-04) \tabularnewline
time_in_rfc;blogged_computations & 0.8092 & 0.8543 & 0.6701 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;gender
 & -0.0085 & -0.0019 & -0.0015 \tabularnewline
p-value & (0.9172) & (0.9819) & (0.9818) \tabularnewline
logins;compendium_views_info & 0.671 & 0.7707 & 0.5869 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_pr & 0.3567 & 0.446 & 0.3209 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.2057 & 0.2095 & 0.1538 \tabularnewline
p-value & (0.0015) & (0.0012) & (0.0012) \tabularnewline
logins;blogged_computations & 0.533 & 0.6794 & 0.4911 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;gender
 & -0.0664 & 0.0042 & 0.0035 \tabularnewline
p-value & (0.4179) & (0.9593) & (0.9591) \tabularnewline
compendium_views_info;compendium_views_pr & 0.4995 & 0.5384 & 0.3855 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.2095 & 0.2416 & 0.1765 \tabularnewline
p-value & (0.0012) & (2e-04) & (2e-04) \tabularnewline
compendium_views_info;blogged_computations & 0.7148 & 0.7714 & 0.5764 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;gender
 & -0.03 & -0.0297 & -0.0243 \tabularnewline
p-value & (0.7147) & (0.7178) & (0.7165) \tabularnewline
compendium_views_pr;shared_compendiums & 0.0299 & 0.0757 & 0.0568 \tabularnewline
p-value & (0.6469) & (0.2454) & (0.2329) \tabularnewline
compendium_views_pr;blogged_computations & 0.1828 & 0.3421 & 0.2348 \tabularnewline
p-value & (0.0048) & (0) & (0) \tabularnewline
compendium_views_pr;gender
 & -0.0386 & 0.0233 & 0.0192 \tabularnewline
p-value & (0.6378) & (0.7765) & (0.7755) \tabularnewline
shared_compendiums;blogged_computations & 0.1602 & 0.1858 & 0.1387 \tabularnewline
p-value & (0.0135) & (0.0041) & (0.0035) \tabularnewline
shared_compendiums;gender
 & 0.1714 & 0.2197 & 0.1967 \tabularnewline
p-value & (0.0354) & (0.0067) & (0.0071) \tabularnewline
blogged_computations;gender
 & 0.0812 & 0.0876 & 0.072 \tabularnewline
p-value & (0.3216) & (0.285) & (0.2835) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154846&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]0.8767[/C][C]0.8755[/C][C]0.7062[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7386[/C][C]0.8149[/C][C]0.6351[/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]0.9589[/C][C]0.9637[/C][C]0.843[/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]0.5457[/C][C]0.5846[/C][C]0.4244[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;shared_compendiums[/C][C]0.228[/C][C]0.2501[/C][C]0.1817[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.7297[/C][C]0.7945[/C][C]0.5993[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;gender
[/C][C]-0.0532[/C][C]-0.0324[/C][C]-0.0266[/C][/ROW]
[ROW][C]p-value[/C][C](0.5168)[/C][C](0.6925)[/C][C](0.6911)[/C][/ROW]
[ROW][C]time_in_rfc;logins[/C][C]0.6914[/C][C]0.7565[/C][C]0.5714[/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]0.8765[/C][C]0.8747[/C][C]0.6975[/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]0.354[/C][C]0.4042[/C][C]0.2821[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;shared_compendiums[/C][C]0.2241[/C][C]0.2478[/C][C]0.1812[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_computations[/C][C]0.8092[/C][C]0.8543[/C][C]0.6701[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;gender
[/C][C]-0.0085[/C][C]-0.0019[/C][C]-0.0015[/C][/ROW]
[ROW][C]p-value[/C][C](0.9172)[/C][C](0.9819)[/C][C](0.9818)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/C][C]0.671[/C][C]0.7707[/C][C]0.5869[/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]0.3567[/C][C]0.446[/C][C]0.3209[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]0.2057[/C][C]0.2095[/C][C]0.1538[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/C][C](0.0012)[/C][C](0.0012)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.533[/C][C]0.6794[/C][C]0.4911[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;gender
[/C][C]-0.0664[/C][C]0.0042[/C][C]0.0035[/C][/ROW]
[ROW][C]p-value[/C][C](0.4179)[/C][C](0.9593)[/C][C](0.9591)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/C][C]0.4995[/C][C]0.5384[/C][C]0.3855[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;shared_compendiums[/C][C]0.2095[/C][C]0.2416[/C][C]0.1765[/C][/ROW]
[ROW][C]p-value[/C][C](0.0012)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.7148[/C][C]0.7714[/C][C]0.5764[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;gender
[/C][C]-0.03[/C][C]-0.0297[/C][C]-0.0243[/C][/ROW]
[ROW][C]p-value[/C][C](0.7147)[/C][C](0.7178)[/C][C](0.7165)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]0.0299[/C][C]0.0757[/C][C]0.0568[/C][/ROW]
[ROW][C]p-value[/C][C](0.6469)[/C][C](0.2454)[/C][C](0.2329)[/C][/ROW]
[ROW][C]compendium_views_pr;blogged_computations[/C][C]0.1828[/C][C]0.3421[/C][C]0.2348[/C][/ROW]
[ROW][C]p-value[/C][C](0.0048)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;gender
[/C][C]-0.0386[/C][C]0.0233[/C][C]0.0192[/C][/ROW]
[ROW][C]p-value[/C][C](0.6378)[/C][C](0.7765)[/C][C](0.7755)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]0.1602[/C][C]0.1858[/C][C]0.1387[/C][/ROW]
[ROW][C]p-value[/C][C](0.0135)[/C][C](0.0041)[/C][C](0.0035)[/C][/ROW]
[ROW][C]shared_compendiums;gender
[/C][C]0.1714[/C][C]0.2197[/C][C]0.1967[/C][/ROW]
[ROW][C]p-value[/C][C](0.0354)[/C][C](0.0067)[/C][C](0.0071)[/C][/ROW]
[ROW][C]blogged_computations;gender
[/C][C]0.0812[/C][C]0.0876[/C][C]0.072[/C][/ROW]
[ROW][C]p-value[/C][C](0.3216)[/C][C](0.285)[/C][C](0.2835)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154846&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154846&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	0.8767	0.8755	0.7062
p-value	(0)	(0)	(0)
pageviews;logins	0.7386	0.8149	0.6351
p-value	(0)	(0)	(0)
pageviews;compendium_views_info	0.9589	0.9637	0.843
p-value	(0)	(0)	(0)
pageviews;compendium_views_pr	0.5457	0.5846	0.4244
p-value	(0)	(0)	(0)
pageviews;shared_compendiums	0.228	0.2501	0.1817
p-value	(4e-04)	(1e-04)	(1e-04)
pageviews;blogged_computations	0.7297	0.7945	0.5993
p-value	(0)	(0)	(0)
pageviews;gender	-0.0532	-0.0324	-0.0266
p-value	(0.5168)	(0.6925)	(0.6911)
time_in_rfc;logins	0.6914	0.7565	0.5714
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_info	0.8765	0.8747	0.6975
p-value	(0)	(0)	(0)
time_in_rfc;compendium_views_pr	0.354	0.4042	0.2821
p-value	(0)	(0)	(0)
time_in_rfc;shared_compendiums	0.2241	0.2478	0.1812
p-value	(5e-04)	(1e-04)	(1e-04)
time_in_rfc;blogged_computations	0.8092	0.8543	0.6701
p-value	(0)	(0)	(0)
time_in_rfc;gender	-0.0085	-0.0019	-0.0015
p-value	(0.9172)	(0.9819)	(0.9818)
logins;compendium_views_info	0.671	0.7707	0.5869
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3567	0.446	0.3209
p-value	(0)	(0)	(0)
logins;shared_compendiums	0.2057	0.2095	0.1538
p-value	(0.0015)	(0.0012)	(0.0012)
logins;blogged_computations	0.533	0.6794	0.4911
p-value	(0)	(0)	(0)
logins;gender	-0.0664	0.0042	0.0035
p-value	(0.4179)	(0.9593)	(0.9591)
compendium_views_info;compendium_views_pr	0.4995	0.5384	0.3855
p-value	(0)	(0)	(0)
compendium_views_info;shared_compendiums	0.2095	0.2416	0.1765
p-value	(0.0012)	(2e-04)	(2e-04)
compendium_views_info;blogged_computations	0.7148	0.7714	0.5764
p-value	(0)	(0)	(0)
compendium_views_info;gender	-0.03	-0.0297	-0.0243
p-value	(0.7147)	(0.7178)	(0.7165)
compendium_views_pr;shared_compendiums	0.0299	0.0757	0.0568
p-value	(0.6469)	(0.2454)	(0.2329)
compendium_views_pr;blogged_computations	0.1828	0.3421	0.2348
p-value	(0.0048)	(0)	(0)
compendium_views_pr;gender	-0.0386	0.0233	0.0192
p-value	(0.6378)	(0.7765)	(0.7755)
shared_compendiums;blogged_computations	0.1602	0.1858	0.1387
p-value	(0.0135)	(0.0041)	(0.0035)
shared_compendiums;gender	0.1714	0.2197	0.1967
p-value	(0.0354)	(0.0067)	(0.0071)
blogged_computations;gender	0.0812	0.0876	0.072
p-value	(0.3216)	(0.285)	(0.2835)

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