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Author

*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 10:05:22 -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/t1323875131et1iktoktgfp3tq.htm/, Retrieved Wed, 01 May 2024 16:06:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155029, Retrieved Wed, 01 May 2024 16:06:05 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Univariate Data Series] [] [2008-12-08 19:22:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP   [ARIMA Backward Selection] [] [2011-12-07 13:48:34] [59e8d6f9dbd0564968d0bb4af7b45de5]
- RMP     [Spectral Analysis] [] [2011-12-07 20:31:01] [0f1ce50ec9632e206f4325c3ca8926e2]
- RMPD        [Kendall tau Correlation Matrix] [] [2011-12-14 15:05:22] [bbaf0bbad09b34135f8973992e5d67ea] [Current]

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Dataseries X:

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Boxplots

112285	1418	210907	56	396	3	30
84786	869	120982	56	297	4	28
83123	1530	176508	54	559	12	38
101193	2172	179321	89	967	2	30
38361	901	123185	40	270	1	22
68504	463	52746	25	143	3	26
119182	3201	385534	92	1562	0	25
22807	371	33170	18	109	0	18
17140	1192	101645	63	371	0	11
116174	1583	149061	44	656	5	26
57635	1439	165446	33	511	0	25
66198	1764	237213	84	655	0	38
71701	1495	173326	88	465	7	44
57793	1373	133131	55	525	7	30
80444	2187	258873	60	885	3	40
53855	1491	180083	66	497	9	34
97668	4041	324799	154	1436	0	47
133824	1706	230964	53	612	4	30
101481	2152	236785	119	865	3	31
99645	1036	135473	41	385	0	23
114789	1882	202925	61	567	7	36
99052	1929	215147	58	639	0	36
67654	2242	344297	75	963	1	30
65553	1220	153935	33	398	5	25
97500	1289	132943	40	410	7	39
69112	2515	174724	92	966	0	34
82753	2147	174415	100	801	0	31
85323	2352	225548	112	892	5	31
72654	1638	223632	73	513	0	33
30727	1222	124817	40	469	0	25
77873	1812	221698	45	683	0	33
117478	1677	210767	60	643	3	35
74007	1579	170266	62	535	4	42
90183	1731	260561	75	625	1	43
61542	807	84853	31	264	4	30
101494	2452	294424	77	992	2	33
27570	829	101011	34	238	0	13
55813	1940	215641	46	818	0	32
79215	2662	325107	99	937	0	36
1423	186	7176	17	70	0	0
55461	1499	167542	66	507	2	28
31081	865	106408	30	260	1	14
22996	1793	96560	76	503	0	17
83122	2527	265769	146	927	2	32
70106	2747	269651	67	1269	10	30
60578	1324	149112	56	537	6	35
39992	2702	175824	107	910	0	20
79892	1383	152871	58	532	5	28
49810	1179	111665	34	345	4	28
71570	2099	116408	61	918	1	39
100708	4308	362301	119	1635	2	34
33032	918	78800	42	330	2	26
82875	1831	183167	66	557	0	39
139077	3373	277965	89	1178	8	39
71595	1713	150629	44	740	3	33
72260	1438	168809	66	452	0	28
5950	496	24188	24	218	0	4
115762	2253	329267	259	764	8	39
32551	744	65029	17	255	5	18
31701	1161	101097	64	454	3	14
80670	2352	218946	41	866	1	29
143558	2144	244052	68	574	5	44
117105	4691	341570	168	1276	1	21
23789	1112	103597	43	379	1	16
120733	2694	233328	132	825	5	28
105195	1973	256462	105	798	0	35
73107	1769	206161	71	663	12	28
132068	3148	311473	112	1069	8	38
149193	2474	235800	94	921	8	23
46821	2084	177939	82	858	8	36
87011	1954	207176	70	711	8	32
95260	1226	196553	57	503	2	29
55183	1389	174184	53	382	0	25
106671	1496	143246	103	464	5	27
73511	2269	187559	121	717	8	36
92945	1833	187681	62	690	2	28
78664	1268	119016	52	462	5	23
70054	1943	182192	52	657	12	40
22618	893	73566	32	385	6	23
74011	1762	194979	62	577	7	40
83737	1403	167488	45	619	2	28
69094	1425	143756	46	479	0	34
93133	1857	275541	63	817	4	33
95536	1840	243199	75	752	3	28
225920	1502	182999	88	430	6	34
62133	1441	135649	46	451	2	30
61370	1420	152299	53	537	0	33
43836	1416	120221	37	519	1	22
106117	2970	346485	90	1000	0	38
38692	1317	145790	63	637	5	26
84651	1644	193339	78	465	2	35
56622	870	80953	25	437	0	8
15986	1654	122774	45	711	0	24
95364	1054	130585	46	299	5	29
26706	937	112611	41	248	0	20
89691	3004	286468	144	1162	1	29
67267	2008	241066	82	714	0	45
126846	2547	148446	91	905	1	37
41140	1885	204713	71	649	1	33
102860	1626	182079	63	512	2	33
51715	1468	140344	53	472	6	25
55801	2445	220516	62	905	1	32
111813	1964	243060	63	786	4	29
120293	1381	162765	32	489	2	28
138599	1369	182613	39	479	3	28
161647	1659	232138	62	617	0	31
115929	2888	265318	117	925	10	52
24266	1290	85574	34	351	0	21
162901	2845	310839	92	1144	9	24
109825	1982	225060	93	669	7	41
129838	1904	232317	54	707	0	33
37510	1391	144966	144	458	0	32
43750	602	43287	14	214	4	19
40652	1743	155754	61	599	4	20
87771	1559	164709	109	572	0	31
85872	2014	201940	38	897	0	31
89275	2143	235454	73	819	0	32
44418	2146	220801	75	720	1	18
192565	874	99466	50	273	0	23
35232	1590	92661	61	508	1	17
40909	1590	133328	55	506	0	20
13294	1210	61361	77	451	0	12
32387	2072	125930	75	699	4	17
140867	1281	100750	72	407	0	30
120662	1401	224549	50	465	4	31
21233	834	82316	32	245	4	10
44332	1105	102010	53	370	3	13
61056	1272	101523	42	316	0	22
101338	1944	243511	71	603	0	42
1168	391	22938	10	154	0	1
13497	761	41566	35	229	5	9
65567	1605	152474	65	577	0	32
25162	530	61857	25	192	4	11
32334	1988	99923	66	617	0	25
40735	1386	132487	41	411	0	36
91413	2395	317394	86	975	1	31
855	387	21054	16	146	0	0
97068	1742	209641	42	705	5	24
44339	620	22648	19	184	0	13
14116	449	31414	19	200	0	8
10288	800	46698	45	274	0	13
65622	1684	131698	65	502	0	19
16563	1050	91735	35	382	0	18
76643	2699	244749	95	964	2	33
110681	1606	184510	49	537	7	40
29011	1502	79863	37	438	1	22
92696	1204	128423	64	369	8	38
94785	1138	97839	38	417	2	24
8773	568	38214	34	276	0	8
83209	1459	151101	32	514	2	35
93815	2158	272458	65	822	0	43
86687	1111	172494	52	389	0	43
34553	1421	108043	62	466	1	14
105547	2833	328107	65	1255	3	41
103487	1955	250579	83	694	0	38
213688	2922	351067	95	1024	3	45
71220	1002	158015	29	400	0	31
23517	1060	98866	18	397	0	13
56926	956	85439	33	350	0	28
91721	2186	229242	247	719	4	31
115168	3604	351619	139	1277	4	40
111194	1035	84207	29	356	11	30
51009	1417	120445	118	457	0	16
135777	3261	324598	110	1402	0	37
51513	1587	131069	67	600	4	30
74163	1424	204271	42	480	0	35
51633	1701	165543	65	595	1	32
75345	1249	141722	94	436	0	27
33416	946	116048	64	230	0	20
83305	1926	250047	81	651	0	18
98952	3352	299775	95	1367	9	31
102372	1641	195838	67	564	1	31
37238	2035	173260	63	716	3	21
103772	2312	254488	83	747	10	39
123969	1369	104389	45	467	5	41
27142	1577	136084	30	671	0	13
135400	2201	199476	70	861	2	32
21399	961	92499	32	319	0	18
130115	1900	224330	83	612	1	39
24874	1254	135781	31	433	2	14
34988	1335	74408	67	434	4	7
45549	1597	81240	66	503	0	17
6023	207	14688	10	85	0	0
64466	1645	181633	70	564	2	30
54990	2429	271856	103	824	1	37
1644	151	7199	5	74	0	0
6179	474	46660	20	259	0	5
3926	141	17547	5	69	0	1
32755	1639	133368	36	535	1	16
34777	872	95227	34	239	0	32
73224	1318	152601	48	438	2	24
27114	1018	98146	40	459	0	17
20760	1383	79619	43	426	3	11
37636	1314	59194	31	288	6	24
65461	1335	139942	42	498	0	22
30080	1403	118612	46	454	2	12
24094	910	72880	33	376	0	19
69008	616	65475	18	225	2	13
54968	1407	99643	55	555	1	17
46090	771	71965	35	252	1	15
27507	766	77272	59	208	2	16
10672	473	49289	19	130	1	24
34029	1376	135131	66	481	0	15
46300	1232	108446	60	389	1	17
24760	1521	89746	36	565	3	18
18779	572	44296	25	173	0	20
21280	1059	77648	47	278	0	16
40662	1544	181528	54	609	0	16
28987	1230	134019	53	422	0	18
22827	1206	124064	40	445	1	22
18513	1205	92630	40	387	4	8
30594	1255	121848	39	339	0	17
24006	613	52915	14	181	0	18
27913	721	81872	45	245	0	16
42744	1109	58981	36	384	7	23
12934	740	53515	28	212	2	22
22574	1126	60812	44	399	0	13
41385	728	56375	30	229	7	13
18653	689	65490	22	224	3	16
18472	592	80949	17	203	0	16
30976	995	76302	31	333	0	20
63339	1613	104011	55	384	6	22
25568	2048	98104	54	636	2	17
33747	705	67989	21	185	0	18
4154	301	30989	14	93	0	17
19474	1803	135458	81	581	3	12
35130	799	73504	35	248	0	7
39067	861	63123	43	304	1	17
13310	1186	61254	46	344	1	14
65892	1451	74914	30	407	0	23
4143	628	31774	23	170	1	17
28579	1161	81437	38	312	0	14
51776	1463	87186	54	507	0	15
21152	742	50090	20	224	0	17
38084	979	65745	53	340	0	21
27717	675	56653	45	168	0	18
32928	1241	158399	39	443	0	18
11342	676	46455	20	204	0	17
19499	1049	73624	24	367	0	17
16380	620	38395	31	210	0	16
36874	1081	91899	35	335	0	15
48259	1688	139526	151	364	0	21
16734	736	52164	52	178	0	16
28207	617	51567	30	206	2	14
30143	812	70551	31	279	0	15
41369	1051	84856	29	387	1	17
45833	1656	102538	57	490	1	15
29156	705	86678	40	238	0	15
35944	945	85709	44	343	0	10
36278	554	34662	25	232	0	6
45588	1597	150580	77	530	0	22
45097	982	99611	35	291	0	21
3895	222	19349	11	67	0	1
28394	1212	99373	63	397	1	18
18632	1143	86230	44	467	0	17
2325	435	30837	19	178	0	4
25139	532	31706	13	175	0	10
27975	882	89806	42	299	0	16
14483	608	62088	38	154	1	16
13127	459	40151	29	106	0	9
5839	578	27634	20	189	0	16
24069	826	76990	27	194	0	17
3738	509	37460	20	135	0	7
18625	717	54157	19	201	0	15
36341	637	49862	37	207	0	14
24548	857	84337	26	280	0	14
21792	830	64175	42	260	0	18
26263	652	59382	49	227	0	12
23686	707	119308	30	239	0	16
49303	954	76702	49	333	0	21
25659	1461	103425	67	428	1	19
28904	672	70344	28	230	0	16
2781	778	43410	19	292	0	1
29236	1141	104838	49	350	1	16
19546	680	62215	27	186	0	10
22818	1090	69304	30	326	6	19
32689	616	53117	22	155	3	12
5752	285	19764	12	75	1	2
22197	1145	86680	31	361	2	14
20055	733	84105	20	261	0	17
25272	888	77945	20	299	0	19
82206	849	89113	39	300	0	14
32073	1182	91005	29	450	3	11
5444	528	40248	16	183	1	4
20154	642	64187	27	238	0	16
36944	947	50857	21	165	0	20
8019	819	56613	19	234	1	12
30884	757	62792	35	176	0	15
19540	894	72535	14	329	0	16

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ yule.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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155029&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155029&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155029&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	4 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Correlations for all pairs of data series (method=spearman)
	totsize	paginaviews	tijd	logins	compendium_v	shared_c	reviewed_c
totsize	1	0.721	0.812	0.659	0.713	0.403	0.79
paginaviews	0.721	1	0.902	0.845	0.966	0.341	0.719
tijd	0.812	0.902	1	0.798	0.9	0.33	0.789
logins	0.659	0.845	0.798	1	0.802	0.28	0.628
compendium_v	0.713	0.966	0.9	0.802	1	0.336	0.699
shared_c	0.403	0.341	0.33	0.28	0.336	1	0.351
reviewed_c	0.79	0.719	0.789	0.628	0.699	0.351	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=spearman) \tabularnewline
  & totsize & paginaviews & tijd & logins & compendium_v & shared_c & reviewed_c \tabularnewline
totsize & 1 & 0.721 & 0.812 & 0.659 & 0.713 & 0.403 & 0.79 \tabularnewline
paginaviews & 0.721 & 1 & 0.902 & 0.845 & 0.966 & 0.341 & 0.719 \tabularnewline
tijd & 0.812 & 0.902 & 1 & 0.798 & 0.9 & 0.33 & 0.789 \tabularnewline
logins & 0.659 & 0.845 & 0.798 & 1 & 0.802 & 0.28 & 0.628 \tabularnewline
compendium_v & 0.713 & 0.966 & 0.9 & 0.802 & 1 & 0.336 & 0.699 \tabularnewline
shared_c & 0.403 & 0.341 & 0.33 & 0.28 & 0.336 & 1 & 0.351 \tabularnewline
reviewed_c & 0.79 & 0.719 & 0.789 & 0.628 & 0.699 & 0.351 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155029&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=spearman)[/C][/ROW]
[ROW][C] [/C][C]totsize[/C][C]paginaviews[/C][C]tijd[/C][C]logins[/C][C]compendium_v[/C][C]shared_c[/C][C]reviewed_c[/C][/ROW]
[ROW][C]totsize[/C][C]1[/C][C]0.721[/C][C]0.812[/C][C]0.659[/C][C]0.713[/C][C]0.403[/C][C]0.79[/C][/ROW]
[ROW][C]paginaviews[/C][C]0.721[/C][C]1[/C][C]0.902[/C][C]0.845[/C][C]0.966[/C][C]0.341[/C][C]0.719[/C][/ROW]
[ROW][C]tijd[/C][C]0.812[/C][C]0.902[/C][C]1[/C][C]0.798[/C][C]0.9[/C][C]0.33[/C][C]0.789[/C][/ROW]
[ROW][C]logins[/C][C]0.659[/C][C]0.845[/C][C]0.798[/C][C]1[/C][C]0.802[/C][C]0.28[/C][C]0.628[/C][/ROW]
[ROW][C]compendium_v[/C][C]0.713[/C][C]0.966[/C][C]0.9[/C][C]0.802[/C][C]1[/C][C]0.336[/C][C]0.699[/C][/ROW]
[ROW][C]shared_c[/C][C]0.403[/C][C]0.341[/C][C]0.33[/C][C]0.28[/C][C]0.336[/C][C]1[/C][C]0.351[/C][/ROW]
[ROW][C]reviewed_c[/C][C]0.79[/C][C]0.719[/C][C]0.789[/C][C]0.628[/C][C]0.699[/C][C]0.351[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155029&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155029&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=spearman)
	totsize	paginaviews	tijd	logins	compendium_v	shared_c	reviewed_c
totsize	1	0.721	0.812	0.659	0.713	0.403	0.79
paginaviews	0.721	1	0.902	0.845	0.966	0.341	0.719
tijd	0.812	0.902	1	0.798	0.9	0.33	0.789
logins	0.659	0.845	0.798	1	0.802	0.28	0.628
compendium_v	0.713	0.966	0.9	0.802	1	0.336	0.699
shared_c	0.403	0.341	0.33	0.28	0.336	1	0.351
reviewed_c	0.79	0.719	0.789	0.628	0.699	0.351	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
totsize;paginaviews	0.6439	0.7212	0.5315
p-value	(0)	(0)	(0)
totsize;tijd	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
totsize;logins	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
totsize;compendium_v	0.6267	0.7135	0.5211
p-value	(0)	(0)	(0)
totsize;shared_c	0.3861	0.4032	0.3007
p-value	(0)	(0)	(0)
totsize;reviewed_c	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
paginaviews;tijd	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
paginaviews;logins	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
paginaviews;compendium_v	0.9625	0.9665	0.8489
p-value	(0)	(0)	(0)
paginaviews;shared_c	0.2972	0.341	0.2511
p-value	(0)	(0)	(0)
paginaviews;reviewed_c	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
tijd;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
tijd;compendium_v	0.8925	0.8995	0.726
p-value	(0)	(0)	(0)
tijd;shared_c	0.2941	0.3296	0.2453
p-value	(0)	(0)	(0)
tijd;reviewed_c	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
logins;compendium_v	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;shared_c	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;reviewed_c	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
compendium_v;shared_c	0.2821	0.3355	0.2476
p-value	(0)	(0)	(0)
compendium_v;reviewed_c	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
shared_c;reviewed_c	0.3895	0.3511	0.2616
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
totsize;paginaviews & 0.6439 & 0.7212 & 0.5315 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tijd & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;logins & 0.5364 & 0.6588 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;compendium_v & 0.6267 & 0.7135 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;shared_c & 0.3861 & 0.4032 & 0.3007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;reviewed_c & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
paginaviews;tijd & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
paginaviews;logins & 0.7588 & 0.845 & 0.6609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
paginaviews;compendium_v & 0.9625 & 0.9665 & 0.8489 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
paginaviews;shared_c & 0.2972 & 0.341 & 0.2511 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
paginaviews;reviewed_c & 0.6652 & 0.7185 & 0.5273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;compendium_v & 0.8925 & 0.8995 & 0.726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;shared_c & 0.2941 & 0.3296 & 0.2453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tijd;reviewed_c & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_v & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_c & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;reviewed_c & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_v;shared_c & 0.2821 & 0.3355 & 0.2476 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_v;reviewed_c & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_c;reviewed_c & 0.3895 & 0.3511 & 0.2616 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155029&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]totsize;paginaviews[/C][C]0.6439[/C][C]0.7212[/C][C]0.5315[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;tijd[/C][C]0.7462[/C][C]0.8118[/C][C]0.6171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;logins[/C][C]0.5364[/C][C]0.6588[/C][C]0.4742[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;compendium_v[/C][C]0.6267[/C][C]0.7135[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;shared_c[/C][C]0.3861[/C][C]0.4032[/C][C]0.3007[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;reviewed_c[/C][C]0.7345[/C][C]0.7899[/C][C]0.5825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]paginaviews;tijd[/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]paginaviews;logins[/C][C]0.7588[/C][C]0.845[/C][C]0.6609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]paginaviews;compendium_v[/C][C]0.9625[/C][C]0.9665[/C][C]0.8489[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]paginaviews;shared_c[/C][C]0.2972[/C][C]0.341[/C][C]0.2511[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]paginaviews;reviewed_c[/C][C]0.6652[/C][C]0.7185[/C][C]0.5273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;logins[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;compendium_v[/C][C]0.8925[/C][C]0.8995[/C][C]0.726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;shared_c[/C][C]0.2941[/C][C]0.3296[/C][C]0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tijd;reviewed_c[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_v[/C][C]0.6919[/C][C]0.8018[/C][C]0.6142[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_c[/C][C]0.2505[/C][C]0.2795[/C][C]0.2078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;reviewed_c[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_v;shared_c[/C][C]0.2821[/C][C]0.3355[/C][C]0.2476[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_v;reviewed_c[/C][C]0.6377[/C][C]0.6987[/C][C]0.5025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_c;reviewed_c[/C][C]0.3895[/C][C]0.3511[/C][C]0.2616[/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=155029&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155029&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
totsize;paginaviews	0.6439	0.7212	0.5315
p-value	(0)	(0)	(0)
totsize;tijd	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
totsize;logins	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
totsize;compendium_v	0.6267	0.7135	0.5211
p-value	(0)	(0)	(0)
totsize;shared_c	0.3861	0.4032	0.3007
p-value	(0)	(0)	(0)
totsize;reviewed_c	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
paginaviews;tijd	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
paginaviews;logins	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
paginaviews;compendium_v	0.9625	0.9665	0.8489
p-value	(0)	(0)	(0)
paginaviews;shared_c	0.2972	0.341	0.2511
p-value	(0)	(0)	(0)
paginaviews;reviewed_c	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
tijd;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
tijd;compendium_v	0.8925	0.8995	0.726
p-value	(0)	(0)	(0)
tijd;shared_c	0.2941	0.3296	0.2453
p-value	(0)	(0)	(0)
tijd;reviewed_c	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
logins;compendium_v	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;shared_c	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;reviewed_c	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
compendium_v;shared_c	0.2821	0.3355	0.2476
p-value	(0)	(0)	(0)
compendium_v;reviewed_c	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
shared_c;reviewed_c	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

Parameters (R input):

par1 = spearman ;

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