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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Mon, 19 Dec 2011 07:24:21 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/19/t13242974818o0noofbcoegy8g.htm/, Retrieved Wed, 15 May 2024 18:36:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157320, Retrieved Wed, 15 May 2024 18:36:06 +0000

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-     [Kendall tau Correlation Matrix] [Pearson correlati...] [2011-12-19 12:22:11] [ac132d67200f983c7ab29dde77ce07c2]
-   P     [Kendall tau Correlation Matrix] [Kendall's tau cor...] [2011-12-19 12:24:21] [3ce5305e82abe5b27e1176cc99946857] [Current]

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Dataseries X:

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1683	150596	84	535	109	0	37	18
1323	154801	50	396	73	1	42	20
192	7215	18	72	1	0	0	0
2172	122139	91	617	154	0	49	26
3335	221399	129	1118	124	0	76	30
6310	441870	237	1755	276	1	118	34
1478	134379	52	498	89	1	42	23
1324	140428	53	355	54	0	57	30
1488	103255	40	413	87	0	45	30
2756	271630	91	891	129	1	67	26
1931	121593	71	629	158	2	50	24
1966	172071	63	611	113	0	71	30
1575	83707	94	564	75	0	41	19
2855	197412	98	964	255	4	66	25
1263	134398	48	362	50	4	42	17
1479	139224	73	442	81	3	54	19
1636	134153	52	391	92	0	75	33
1076	64149	52	305	72	5	0	15
2376	122294	82	721	142	0	54	34
678	24889	22	206	47	0	13	15
902	52197	52	310	40	0	16	15
2308	188915	89	686	94	0	77	27
1590	163147	66	572	127	0	34	25
1863	98575	48	558	164	1	38	34
1799	143546	80	569	41	1	50	21
1385	139780	25	513	160	0	39	21
1870	163784	146	602	90	0	54	25
1161	152479	75	276	55	0	67	28
2417	304108	109	791	78	0	55	26
1952	184024	40	815	90	0	52	20
1514	151621	41	427	76	0	50	28
1487	164516	41	496	111	2	54	20
2051	120179	94	653	87	4	53	17
2843	214701	116	857	302	0	76	25
2216	196865	48	736	84	1	52	24
1	0	1	0	0	0	0	0
1830	181527	57	862	58	0	46	27
1563	93107	49	483	137	3	44	14
2046	129352	45	495	267	9	35	32
2005	229143	58	749	56	0	82	31
1934	177063	67	627	94	2	70	21
1572	126602	53	597	62	0	31	34
950	93742	29	348	35	2	25	23
1877	152153	72	711	59	1	48	24
1036	95704	42	322	46	2	44	22
1097	139793	84	280	40	2	40	22
730	76348	30	205	49	1	23	35
1918	188980	86	648	114	0	63	21
1826	172100	79	580	113	1	43	31
2444	146552	54	875	171	7	62	26
658	48188	28	205	37	0	12	22
1425	109185	60	363	51	0	63	21
2246	263652	68	757	89	0	60	27
1899	215609	75	647	67	0	53	26
1630	174876	54	584	49	1	53	33
1496	115124	49	457	74	6	35	11
1681	179712	60	438	58	0	49	26
816	70369	20	235	72	0	25	26
902	109215	58	312	30	0	47	21
2606	166096	85	877	59	10	30	38
1557	130414	51	454	65	6	50	29
1780	102057	71	668	81	0	36	19
1265	115310	56	346	84	11	43	19
1117	101181	32	377	46	3	44	24
1069	135228	31	365	56	0	14	26
1229	94982	37	391	36	0	38	29
2155	166919	67	476	84	8	58	34
2500	118169	64	747	152	2	68	25
1003	102361	36	246	48	0	48	24
340	31970	15	101	40	0	5	21
2586	200413	107	901	135	3	53	19
1119	103381	58	334	80	1	36	12
1251	94940	61	404	60	2	62	28
1516	101560	65	442	89	1	46	21
2473	144176	60	627	89	0	67	34
1288	71921	37	345	79	2	2	32
1911	126905	54	538	111	1	64	27
2279	131184	87	741	67	0	59	26
816	60138	23	253	76	0	16	21
1234	84971	71	395	105	0	34	31
907	80420	64	211	49	0	54	26
1827	233569	57	670	57	0	39	26
841	56252	25	244	49	0	26	23
1309	97181	32	438	132	0	37	25
764	50800	41	255	49	0	17	22
1439	125941	45	434	71	0	32	26
2500	211032	210	613	100	0	55	33
974	71960	92	233	71	0	39	22
1152	90379	53	360	49	6	39	24
1261	125650	47	486	72	0	28	21
1508	115572	36	535	59	5	45	28
2005	136266	67	585	86	1	66	22
1191	146715	55	402	65	0	39	22
1265	124626	57	466	81	0	27	15
761	49176	33	291	30	0	22	13
2156	212926	102	691	166	0	43	36
1689	173884	55	515	89	0	88	24
223	19349	12	67	15	0	13	1
2074	181141	95	712	104	3	23	24
1879	145502	70	770	61	0	40	31
566	45448	26	247	11	0	8	4
802	58280	20	240	44	0	41	20
1131	115944	44	360	84	0	51	23
981	94341	52	249	66	1	24	23
591	59090	37	138	27	0	23	12
596	27676	22	194	59	0	2	16
1261	120586	41	285	126	0	78	28
861	88011	31	227	32	0	12	10
0	0	0	0	0	0	0	0
1030	85610	31	306	58	0	46	25
991	84193	58	328	52	0	22	21
1178	117769	39	397	49	0	49	21
1200	107653	56	369	64	0	52	21
849	71894	57	287	71	0	36	21
78	3616	5	14	5	0	0	0
0	0	0	0	0	0	0	0
924	154806	38	301	70	0	35	23
1480	136061	73	535	72	0	68	29
1870	141822	89	530	118	1	26	27
861	106515	37	272	56	0	32	23
778	43410	19	292	63	0	7	1
1533	146920	64	458	88	1	67	25
889	88874	38	241	46	0	30	17
1705	111924	49	497	60	8	55	29
700	60373	39	165	29	3	3	12
285	19764	12	75	19	1	10	2
1490	121665	46	461	58	2	46	18
981	108685	26	341	66	0	23	25
1368	124493	37	446	97	0	43	29
256	11796	9	79	22	0	1	2
98	10674	9	33	7	0	0	0
1317	131263	52	449	37	0	33	18
41	6836	3	11	5	0	0	1
1768	153278	55	606	48	5	48	21
42	5118	3	6	1	0	5	0
528	40248	16	183	34	1	8	4
0	0	0	0	0	0	0	0
938	100728	42	310	49	0	25	25
1245	84267	36	245	44	0	21	26
81	7131	4	27	0	1	0	0
257	8812	13	97	18	0	0	4
891	63952	22	247	48	1	15	17
1114	120111	47	273	54	0	47	21
1079	94127	18	386	50	1	17	22

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=157320&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=157320&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157320&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=kendall)
	pageviews	timeRFC	logins	CCV	CV	Cauthors	bloggedC	reviewedC
pageviews	1	0.697	0.637	0.839	0.602	0.218	0.594	0.463
timeRFC	0.697	1	0.571	0.682	0.478	0.117	0.575	0.425
logins	0.637	0.571	1	0.603	0.474	0.134	0.516	0.346
CCV	0.839	0.682	0.603	1	0.564	0.182	0.532	0.411
CV	0.602	0.478	0.474	0.564	1	0.149	0.452	0.381
Cauthors	0.218	0.117	0.134	0.182	0.149	1	0.108	0.039
bloggedC	0.594	0.575	0.516	0.532	0.452	0.108	1	0.418
reviewedC	0.463	0.425	0.346	0.411	0.381	0.039	0.418	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pageviews & timeRFC & logins & CCV & CV & Cauthors & bloggedC & reviewedC \tabularnewline
pageviews & 1 & 0.697 & 0.637 & 0.839 & 0.602 & 0.218 & 0.594 & 0.463 \tabularnewline
timeRFC & 0.697 & 1 & 0.571 & 0.682 & 0.478 & 0.117 & 0.575 & 0.425 \tabularnewline
logins & 0.637 & 0.571 & 1 & 0.603 & 0.474 & 0.134 & 0.516 & 0.346 \tabularnewline
CCV & 0.839 & 0.682 & 0.603 & 1 & 0.564 & 0.182 & 0.532 & 0.411 \tabularnewline
CV & 0.602 & 0.478 & 0.474 & 0.564 & 1 & 0.149 & 0.452 & 0.381 \tabularnewline
Cauthors & 0.218 & 0.117 & 0.134 & 0.182 & 0.149 & 1 & 0.108 & 0.039 \tabularnewline
bloggedC & 0.594 & 0.575 & 0.516 & 0.532 & 0.452 & 0.108 & 1 & 0.418 \tabularnewline
reviewedC & 0.463 & 0.425 & 0.346 & 0.411 & 0.381 & 0.039 & 0.418 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157320&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]timeRFC[/C][C]logins[/C][C]CCV[/C][C]CV[/C][C]Cauthors[/C][C]bloggedC[/C][C]reviewedC[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.697[/C][C]0.637[/C][C]0.839[/C][C]0.602[/C][C]0.218[/C][C]0.594[/C][C]0.463[/C][/ROW]
[ROW][C]timeRFC[/C][C]0.697[/C][C]1[/C][C]0.571[/C][C]0.682[/C][C]0.478[/C][C]0.117[/C][C]0.575[/C][C]0.425[/C][/ROW]
[ROW][C]logins[/C][C]0.637[/C][C]0.571[/C][C]1[/C][C]0.603[/C][C]0.474[/C][C]0.134[/C][C]0.516[/C][C]0.346[/C][/ROW]
[ROW][C]CCV[/C][C]0.839[/C][C]0.682[/C][C]0.603[/C][C]1[/C][C]0.564[/C][C]0.182[/C][C]0.532[/C][C]0.411[/C][/ROW]
[ROW][C]CV[/C][C]0.602[/C][C]0.478[/C][C]0.474[/C][C]0.564[/C][C]1[/C][C]0.149[/C][C]0.452[/C][C]0.381[/C][/ROW]
[ROW][C]Cauthors[/C][C]0.218[/C][C]0.117[/C][C]0.134[/C][C]0.182[/C][C]0.149[/C][C]1[/C][C]0.108[/C][C]0.039[/C][/ROW]
[ROW][C]bloggedC[/C][C]0.594[/C][C]0.575[/C][C]0.516[/C][C]0.532[/C][C]0.452[/C][C]0.108[/C][C]1[/C][C]0.418[/C][/ROW]
[ROW][C]reviewedC[/C][C]0.463[/C][C]0.425[/C][C]0.346[/C][C]0.411[/C][C]0.381[/C][C]0.039[/C][C]0.418[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157320&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157320&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	timeRFC	logins	CCV	CV	Cauthors	bloggedC	reviewedC
pageviews	1	0.697	0.637	0.839	0.602	0.218	0.594	0.463
timeRFC	0.697	1	0.571	0.682	0.478	0.117	0.575	0.425
logins	0.637	0.571	1	0.603	0.474	0.134	0.516	0.346
CCV	0.839	0.682	0.603	1	0.564	0.182	0.532	0.411
CV	0.602	0.478	0.474	0.564	1	0.149	0.452	0.381
Cauthors	0.218	0.117	0.134	0.182	0.149	1	0.108	0.039
bloggedC	0.594	0.575	0.516	0.532	0.452	0.108	1	0.418
reviewedC	0.463	0.425	0.346	0.411	0.381	0.039	0.418	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;timeRFC	0.8873	0.861	0.6971
p-value	(0)	(0)	(0)
pageviews;logins	0.8375	0.806	0.6372
p-value	(0)	(0)	(0)
pageviews;CCV	0.9645	0.9619	0.8394
p-value	(0)	(0)	(0)
pageviews;CV	0.7616	0.7819	0.6023
p-value	(0)	(0)	(0)
pageviews;Cauthors	0.2211	0.2837	0.2181
p-value	(0.0077)	(6e-04)	(7e-04)
pageviews;bloggedC	0.7858	0.7696	0.5942
p-value	(0)	(0)	(0)
pageviews;reviewedC	0.6585	0.622	0.4632
p-value	(0)	(0)	(0)
timeRFC;logins	0.7735	0.7381	0.5714
p-value	(0)	(0)	(0)
timeRFC;CCV	0.8805	0.8527	0.6819
p-value	(0)	(0)	(0)
timeRFC;CV	0.6174	0.6433	0.4784
p-value	(0)	(0)	(0)
timeRFC;Cauthors	0.1048	0.1558	0.1171
p-value	(0.2111)	(0.0623)	(0.067)
timeRFC;bloggedC	0.7876	0.7515	0.5749
p-value	(0)	(0)	(0)
timeRFC;reviewedC	0.6555	0.5775	0.4254
p-value	(0)	(0)	(0)
logins;CCV	0.7817	0.7708	0.6033
p-value	(0)	(0)	(0)
logins;CV	0.6031	0.6357	0.474
p-value	(0)	(0)	(0)
logins;Cauthors	0.0885	0.1748	0.1341
p-value	(0.2913)	(0.0362)	(0.0369)
logins;bloggedC	0.6684	0.6924	0.5156
p-value	(0)	(0)	(0)
logins;reviewedC	0.5408	0.4758	0.3458
p-value	(0)	(0)	(0)
CCV;CV	0.7119	0.7377	0.564
p-value	(0)	(0)	(0)
CCV;Cauthors	0.1862	0.2422	0.1822
p-value	(0.0254)	(0.0034)	(0.0044)
CCV;bloggedC	0.7382	0.7061	0.5318
p-value	(0)	(0)	(0)
CCV;reviewedC	0.6191	0.5584	0.4114
p-value	(0)	(0)	(0)
CV;Cauthors	0.2065	0.1939	0.1489
p-value	(0.013)	(0.0199)	(0.0205)
CV;bloggedC	0.589	0.6074	0.4517
p-value	(0)	(0)	(0)
CV;reviewedC	0.5249	0.5143	0.3813
p-value	(0)	(0)	(0)
Cauthors;bloggedC	0.0964	0.1433	0.1083
p-value	(0.2506)	(0.0867)	(0.0929)
Cauthors;reviewedC	0.1524	0.0505	0.0393
p-value	(0.0682)	(0.5478)	(0.5475)
bloggedC;reviewedC	0.6562	0.562	0.4178
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;timeRFC & 0.8873 & 0.861 & 0.6971 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.8375 & 0.806 & 0.6372 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;CCV & 0.9645 & 0.9619 & 0.8394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;CV & 0.7616 & 0.7819 & 0.6023 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;Cauthors & 0.2211 & 0.2837 & 0.2181 \tabularnewline
p-value & (0.0077) & (6e-04) & (7e-04) \tabularnewline
pageviews;bloggedC & 0.7858 & 0.7696 & 0.5942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;reviewedC & 0.6585 & 0.622 & 0.4632 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;logins & 0.7735 & 0.7381 & 0.5714 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;CCV & 0.8805 & 0.8527 & 0.6819 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;CV & 0.6174 & 0.6433 & 0.4784 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;Cauthors & 0.1048 & 0.1558 & 0.1171 \tabularnewline
p-value & (0.2111) & (0.0623) & (0.067) \tabularnewline
timeRFC;bloggedC & 0.7876 & 0.7515 & 0.5749 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timeRFC;reviewedC & 0.6555 & 0.5775 & 0.4254 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;CCV & 0.7817 & 0.7708 & 0.6033 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;CV & 0.6031 & 0.6357 & 0.474 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;Cauthors & 0.0885 & 0.1748 & 0.1341 \tabularnewline
p-value & (0.2913) & (0.0362) & (0.0369) \tabularnewline
logins;bloggedC & 0.6684 & 0.6924 & 0.5156 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;reviewedC & 0.5408 & 0.4758 & 0.3458 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CCV;CV & 0.7119 & 0.7377 & 0.564 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CCV;Cauthors & 0.1862 & 0.2422 & 0.1822 \tabularnewline
p-value & (0.0254) & (0.0034) & (0.0044) \tabularnewline
CCV;bloggedC & 0.7382 & 0.7061 & 0.5318 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CCV;reviewedC & 0.6191 & 0.5584 & 0.4114 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CV;Cauthors & 0.2065 & 0.1939 & 0.1489 \tabularnewline
p-value & (0.013) & (0.0199) & (0.0205) \tabularnewline
CV;bloggedC & 0.589 & 0.6074 & 0.4517 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CV;reviewedC & 0.5249 & 0.5143 & 0.3813 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Cauthors;bloggedC & 0.0964 & 0.1433 & 0.1083 \tabularnewline
p-value & (0.2506) & (0.0867) & (0.0929) \tabularnewline
Cauthors;reviewedC & 0.1524 & 0.0505 & 0.0393 \tabularnewline
p-value & (0.0682) & (0.5478) & (0.5475) \tabularnewline
bloggedC;reviewedC & 0.6562 & 0.562 & 0.4178 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157320&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;timeRFC[/C][C]0.8873[/C][C]0.861[/C][C]0.6971[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.8375[/C][C]0.806[/C][C]0.6372[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;CCV[/C][C]0.9645[/C][C]0.9619[/C][C]0.8394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;CV[/C][C]0.7616[/C][C]0.7819[/C][C]0.6023[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;Cauthors[/C][C]0.2211[/C][C]0.2837[/C][C]0.2181[/C][/ROW]
[ROW][C]p-value[/C][C](0.0077)[/C][C](6e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]pageviews;bloggedC[/C][C]0.7858[/C][C]0.7696[/C][C]0.5942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;reviewedC[/C][C]0.6585[/C][C]0.622[/C][C]0.4632[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;logins[/C][C]0.7735[/C][C]0.7381[/C][C]0.5714[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;CCV[/C][C]0.8805[/C][C]0.8527[/C][C]0.6819[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;CV[/C][C]0.6174[/C][C]0.6433[/C][C]0.4784[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;Cauthors[/C][C]0.1048[/C][C]0.1558[/C][C]0.1171[/C][/ROW]
[ROW][C]p-value[/C][C](0.2111)[/C][C](0.0623)[/C][C](0.067)[/C][/ROW]
[ROW][C]timeRFC;bloggedC[/C][C]0.7876[/C][C]0.7515[/C][C]0.5749[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timeRFC;reviewedC[/C][C]0.6555[/C][C]0.5775[/C][C]0.4254[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;CCV[/C][C]0.7817[/C][C]0.7708[/C][C]0.6033[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;CV[/C][C]0.6031[/C][C]0.6357[/C][C]0.474[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;Cauthors[/C][C]0.0885[/C][C]0.1748[/C][C]0.1341[/C][/ROW]
[ROW][C]p-value[/C][C](0.2913)[/C][C](0.0362)[/C][C](0.0369)[/C][/ROW]
[ROW][C]logins;bloggedC[/C][C]0.6684[/C][C]0.6924[/C][C]0.5156[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;reviewedC[/C][C]0.5408[/C][C]0.4758[/C][C]0.3458[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CCV;CV[/C][C]0.7119[/C][C]0.7377[/C][C]0.564[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CCV;Cauthors[/C][C]0.1862[/C][C]0.2422[/C][C]0.1822[/C][/ROW]
[ROW][C]p-value[/C][C](0.0254)[/C][C](0.0034)[/C][C](0.0044)[/C][/ROW]
[ROW][C]CCV;bloggedC[/C][C]0.7382[/C][C]0.7061[/C][C]0.5318[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CCV;reviewedC[/C][C]0.6191[/C][C]0.5584[/C][C]0.4114[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CV;Cauthors[/C][C]0.2065[/C][C]0.1939[/C][C]0.1489[/C][/ROW]
[ROW][C]p-value[/C][C](0.013)[/C][C](0.0199)[/C][C](0.0205)[/C][/ROW]
[ROW][C]CV;bloggedC[/C][C]0.589[/C][C]0.6074[/C][C]0.4517[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CV;reviewedC[/C][C]0.5249[/C][C]0.5143[/C][C]0.3813[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Cauthors;bloggedC[/C][C]0.0964[/C][C]0.1433[/C][C]0.1083[/C][/ROW]
[ROW][C]p-value[/C][C](0.2506)[/C][C](0.0867)[/C][C](0.0929)[/C][/ROW]
[ROW][C]Cauthors;reviewedC[/C][C]0.1524[/C][C]0.0505[/C][C]0.0393[/C][/ROW]
[ROW][C]p-value[/C][C](0.0682)[/C][C](0.5478)[/C][C](0.5475)[/C][/ROW]
[ROW][C]bloggedC;reviewedC[/C][C]0.6562[/C][C]0.562[/C][C]0.4178[/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=157320&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157320&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;timeRFC	0.8873	0.861	0.6971
p-value	(0)	(0)	(0)
pageviews;logins	0.8375	0.806	0.6372
p-value	(0)	(0)	(0)
pageviews;CCV	0.9645	0.9619	0.8394
p-value	(0)	(0)	(0)
pageviews;CV	0.7616	0.7819	0.6023
p-value	(0)	(0)	(0)
pageviews;Cauthors	0.2211	0.2837	0.2181
p-value	(0.0077)	(6e-04)	(7e-04)
pageviews;bloggedC	0.7858	0.7696	0.5942
p-value	(0)	(0)	(0)
pageviews;reviewedC	0.6585	0.622	0.4632
p-value	(0)	(0)	(0)
timeRFC;logins	0.7735	0.7381	0.5714
p-value	(0)	(0)	(0)
timeRFC;CCV	0.8805	0.8527	0.6819
p-value	(0)	(0)	(0)
timeRFC;CV	0.6174	0.6433	0.4784
p-value	(0)	(0)	(0)
timeRFC;Cauthors	0.1048	0.1558	0.1171
p-value	(0.2111)	(0.0623)	(0.067)
timeRFC;bloggedC	0.7876	0.7515	0.5749
p-value	(0)	(0)	(0)
timeRFC;reviewedC	0.6555	0.5775	0.4254
p-value	(0)	(0)	(0)
logins;CCV	0.7817	0.7708	0.6033
p-value	(0)	(0)	(0)
logins;CV	0.6031	0.6357	0.474
p-value	(0)	(0)	(0)
logins;Cauthors	0.0885	0.1748	0.1341
p-value	(0.2913)	(0.0362)	(0.0369)
logins;bloggedC	0.6684	0.6924	0.5156
p-value	(0)	(0)	(0)
logins;reviewedC	0.5408	0.4758	0.3458
p-value	(0)	(0)	(0)
CCV;CV	0.7119	0.7377	0.564
p-value	(0)	(0)	(0)
CCV;Cauthors	0.1862	0.2422	0.1822
p-value	(0.0254)	(0.0034)	(0.0044)
CCV;bloggedC	0.7382	0.7061	0.5318
p-value	(0)	(0)	(0)
CCV;reviewedC	0.6191	0.5584	0.4114
p-value	(0)	(0)	(0)
CV;Cauthors	0.2065	0.1939	0.1489
p-value	(0.013)	(0.0199)	(0.0205)
CV;bloggedC	0.589	0.6074	0.4517
p-value	(0)	(0)	(0)
CV;reviewedC	0.5249	0.5143	0.3813
p-value	(0)	(0)	(0)
Cauthors;bloggedC	0.0964	0.1433	0.1083
p-value	(0.2506)	(0.0867)	(0.0929)
Cauthors;reviewedC	0.1524	0.0505	0.0393
p-value	(0.0682)	(0.5478)	(0.5475)
bloggedC;reviewedC	0.6562	0.562	0.4178
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