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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 21 Dec 2011 04:24:40 -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/21/t1324459501xayda76wyiuaxey.htm/, Retrieved Tue, 07 May 2024 14:33:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158377, Retrieved Tue, 07 May 2024 14:33:36 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

120

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

-     [Univariate Data Series] [web traffic] [2010-10-19 15:13:07] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [Traffic] [2010-11-29 09:57:15] [b98453cac15ba1066b407e146608df68]
- RM      [Standard Deviation-Mean Plot] [Traffic] [2010-11-29 11:05:08] [b98453cac15ba1066b407e146608df68]
- RMP       [ARIMA Forecasting] [Traffic] [2010-11-29 21:10:32] [b98453cac15ba1066b407e146608df68]
- R PD        [ARIMA Forecasting] [] [2011-12-06 10:39:07] [aba4febe8a2e49e81bdc61a6c01f5c21]
-   PD          [ARIMA Forecasting] [] [2011-12-20 15:47:34] [aba4febe8a2e49e81bdc61a6c01f5c21]
- R               [ARIMA Forecasting] [ARIMA Forecasting CV] [2011-12-20 15:48:10] [aba4febe8a2e49e81bdc61a6c01f5c21]
- RMPD                [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2011-12-21 09:24:40] [3627de22d386f4cb93d383ef7c1ade7f] [Current]

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Dataseries X:

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1785	276257	71	492	3	96	41
1227	180480	66	436	4	71	34
1931	229040	75	694	16	70	44
2683	218443	104	1137	2	134	38
1247	171533	52	380	1	67	27
631	70849	28	179	3	8	35
4845	536497	125	2354	0	162	33
381	33186	19	111	0	1	18
2066	217320	60	740	7	83	34
1759	213274	45	595	0	82	33
2157	310843	112	809	0	92	46
2211	242788	122	693	7	117	57
1967	195022	76	738	10	56	37
3005	367785	81	1184	4	139	55
2228	261990	86	713	10	83	44
5009	392509	181	1729	0	176	62
2353	335528	75	844	8	114	40
3278	376673	163	1298	4	105	39
1473	181980	56	514	3	103	32
2347	266736	87	689	8	135	51
2522	278265	70	837	0	123	49
2987	461287	104	1330	1	87	39
1523	195786	42	491	5	74	25
1761	197058	55	622	9	103	56
3660	250284	126	1332	1	154	45
2937	245373	129	1043	0	113	38
2914	274121	129	1082	5	99	45
2009	278027	88	636	0	117	43
1555	165597	52	586	0	59	32
3049	371452	72	1170	0	142	41
2430	295296	80	973	3	132	50
2092	248320	81	721	6	50	50
2404	351980	95	863	1	141	51
1018	101014	40	343	4	43	37
3462	412722	101	1278	4	141	44
2764	273950	56	1186	0	83	42
3710	425531	122	1334	0	112	44
1947	231912	84	652	2	79	36
947	115658	33	284	1	33	17
3608	376008	201	1273	2	137	43
3324	335039	82	1518	10	125	41
1842	194127	71	715	10	80	41
1869	206947	78	671	5	78	38
1813	182286	64	486	6	68	49
2496	153778	82	1022	1	50	45
5557	457592	153	2084	2	101	42
918	78800	42	330	2	20	26
2254	208277	77	658	0	101	52
4103	359144	121	1385	10	149	50
2241	184648	60	930	3	108	45
1942	234078	76	620	0	96	40
496	24188	24	218	0	8	4
2594	380576	326	840	8	88	44
744	65029	17	255	5	21	18
1161	101097	64	454	3	30	14
3121	288327	60	1149	1	97	38
2621	334829	87	684	5	134	61
3905	359400	198	1190	6	132	39
2722	369577	146	1079	0	161	42
2312	269961	86	883	12	89	40
4061	389738	147	1331	10	160	51
3195	309474	119	1159	12	139	28
3041	282769	118	1217	11	104	43
2643	269324	89	946	8	92	42
1496	234773	69	579	2	54	37
1835	237561	68	474	0	119	30
2080	211396	135	626	6	93	39
2772	240376	151	843	10	85	44
2440	247447	84	893	2	145	36
1718	181550	70	633	5	143	28
2566	242152	70	873	13	99	47
893	73566	32	385	6	22	23
2227	246125	86	729	7	78	48
1878	199565	56	774	2	83	38
2177	222676	65	769	4	131	42
2352	363558	88	996	4	140	46
2981	365442	96	1194	3	148	37
1926	217036	108	575	6	80	41
2400	213466	66	725	2	133	42
2034	204477	67	706	0	99	41
1800	169080	48	665	1	62	36
4168	478396	128	1259	0	161	45
1369	145943	69	653	5	30	26
2403	288626	106	694	2	120	44
870	80953	25	437	0	49	8
1968	150221	55	822	0	52	27
1569	179317	60	458	6	76	38
3962	395368	213	1545	1	85	38
2928	349460	120	987	0	146	57
3098	180679	106	1051	1	165	45
2557	286578	100	838	1	87	40
2329	274477	81	703	3	165	42
1858	195623	65	613	10	48	31
3146	282361	77	1128	1	149	36
2581	329121	85	967	4	75	40
1824	198658	42	617	4	84	40
1914	262630	59	654	5	110	35
2210	300481	83	805	0	165	39
4118	403404	155	1355	12	155	65
3844	406613	114	1456	13	165	33
2791	294371	138	878	8	121	51
2425	313267	67	887	0	156	42
2052	189276	188	663	0	73	36
602	43287	14	214	4	13	19
2195	189520	83	733	4	89	25
2412	250254	148	830	0	105	44
2628	268886	51	1174	0	129	40
2758	314153	92	1068	0	169	44
1268	160308	81	413	0	28	30
3233	162843	97	946	0	118	45
2025	344925	74	657	5	82	42
2310	300526	89	690	0	147	45
398	23623	11	156	0	12	1
2205	195817	73	779	0	146	40
530	61857	25	192	4	23	11
1610	163931	50	461	0	83	45
3153	428191	120	1213	1	163	38
387	21054	16	146	0	4	0
2137	252805	52	866	5	81	30
492	31961	22	200	0	18	8
3674	335888	119	1290	3	115	41
2136	246100	68	715	7	76	48
1748	180591	93	514	13	55	48
1790	163400	54	697	3	53	32
568	38214	34	276	0	16	8
2191	224597	44	752	3	81	43
2792	357602	82	1021	0	137	52
1396	198104	62	481	0	50	53
3718	424398	85	1626	4	142	49
2554	348017	99	884	0	163	48
3460	421610	129	1187	3	141	56
1283	192170	37	488	0	71	40
1130	102510	43	403	0	42	36
2974	302158	347	977	4	94	44
4346	444599	182	1525	5	118	46
1785	148707	57	551	15	63	43
4349	407736	134	1807	5	127	46
1920	164406	79	723	5	55	39
1923	278077	50	632	2	117	41
2541	282461	96	898	1	110	46
1844	219544	115	621	0	39	32
4081	384177	122	1606	9	95	45
2339	246963	92	811	1	128	39
2035	173260	63	716	3	41	21
3108	336715	104	1001	11	146	49
1974	176654	58	732	5	147	55
2651	253341	87	1024	2	119	36
2702	307133	109	831	1	185	48
2	1	0	0	9	0	0
207	14688	10	85	0	4	0
5	98	1	0	0	0	0
8	455	2	0	0	0	0
0	0	0	0	1	0	0
0	0	0	0	0	0	0
2255	260901	88	773	2	75	43
3447	409280	162	1128	3	157	52
0	0	0	0	0	0	0
4	203	4	0	0	0	0
151	7199	5	74	0	7	0
474	46660	20	259	0	12	5
141	17547	5	69	0	0	1
1111	118589	45	301	0	37	45
29	969	2	0	0	0	0
2011	233108	70	668	2	61	34

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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158377&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158377&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158377&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

Correlations for all pairs of data series (method=pearson)
	pageviews	timerfc	logins	compendiumviews	sharedcompendiums	bloggedcompendiums	compendiumsreviewed
pageviews	1	0.915	0.742	0.967	0.211	0.809	0.732
timerfc	0.915	1	0.714	0.889	0.183	0.824	0.751
logins	0.742	0.714	1	0.67	0.199	0.567	0.586
compendiumviews	0.967	0.889	0.67	1	0.173	0.753	0.642
sharedcompendiums	0.211	0.183	0.199	0.173	1	0.105	0.28
bloggedcompendiums	0.809	0.824	0.567	0.753	0.105	1	0.745
compendiumsreviewed	0.732	0.751	0.586	0.642	0.28	0.745	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & timerfc & logins & compendiumviews & sharedcompendiums & bloggedcompendiums & compendiumsreviewed \tabularnewline
pageviews & 1 & 0.915 & 0.742 & 0.967 & 0.211 & 0.809 & 0.732 \tabularnewline
timerfc & 0.915 & 1 & 0.714 & 0.889 & 0.183 & 0.824 & 0.751 \tabularnewline
logins & 0.742 & 0.714 & 1 & 0.67 & 0.199 & 0.567 & 0.586 \tabularnewline
compendiumviews & 0.967 & 0.889 & 0.67 & 1 & 0.173 & 0.753 & 0.642 \tabularnewline
sharedcompendiums & 0.211 & 0.183 & 0.199 & 0.173 & 1 & 0.105 & 0.28 \tabularnewline
bloggedcompendiums & 0.809 & 0.824 & 0.567 & 0.753 & 0.105 & 1 & 0.745 \tabularnewline
compendiumsreviewed & 0.732 & 0.751 & 0.586 & 0.642 & 0.28 & 0.745 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158377&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]timerfc[/C][C]logins[/C][C]compendiumviews[/C][C]sharedcompendiums[/C][C]bloggedcompendiums[/C][C]compendiumsreviewed[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.915[/C][C]0.742[/C][C]0.967[/C][C]0.211[/C][C]0.809[/C][C]0.732[/C][/ROW]
[ROW][C]timerfc[/C][C]0.915[/C][C]1[/C][C]0.714[/C][C]0.889[/C][C]0.183[/C][C]0.824[/C][C]0.751[/C][/ROW]
[ROW][C]logins[/C][C]0.742[/C][C]0.714[/C][C]1[/C][C]0.67[/C][C]0.199[/C][C]0.567[/C][C]0.586[/C][/ROW]
[ROW][C]compendiumviews[/C][C]0.967[/C][C]0.889[/C][C]0.67[/C][C]1[/C][C]0.173[/C][C]0.753[/C][C]0.642[/C][/ROW]
[ROW][C]sharedcompendiums[/C][C]0.211[/C][C]0.183[/C][C]0.199[/C][C]0.173[/C][C]1[/C][C]0.105[/C][C]0.28[/C][/ROW]
[ROW][C]bloggedcompendiums[/C][C]0.809[/C][C]0.824[/C][C]0.567[/C][C]0.753[/C][C]0.105[/C][C]1[/C][C]0.745[/C][/ROW]
[ROW][C]compendiumsreviewed[/C][C]0.732[/C][C]0.751[/C][C]0.586[/C][C]0.642[/C][C]0.28[/C][C]0.745[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158377&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158377&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	timerfc	logins	compendiumviews	sharedcompendiums	bloggedcompendiums	compendiumsreviewed
pageviews	1	0.915	0.742	0.967	0.211	0.809	0.732
timerfc	0.915	1	0.714	0.889	0.183	0.824	0.751
logins	0.742	0.714	1	0.67	0.199	0.567	0.586
compendiumviews	0.967	0.889	0.67	1	0.173	0.753	0.642
sharedcompendiums	0.211	0.183	0.199	0.173	1	0.105	0.28
bloggedcompendiums	0.809	0.824	0.567	0.753	0.105	1	0.745
compendiumsreviewed	0.732	0.751	0.586	0.642	0.28	0.745	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
pageviews;timerfc	0.9154	0.8901	0.7419
p-value	(0)	(0)	(0)
pageviews;logins	0.7425	0.8444	0.6801
p-value	(0)	(0)	(0)
pageviews;compendiumviews	0.9674	0.9689	0.8571
p-value	(0)	(0)	(0)
pageviews;sharedcompendiums	0.2114	0.2062	0.1475
p-value	(0.0066)	(0.0081)	(0.0083)
pageviews;bloggedcompendiums	0.8088	0.8106	0.6344
p-value	(0)	(0)	(0)
pageviews;compendiumsreviewed	0.7324	0.6334	0.4777
p-value	(0)	(0)	(0)
timerfc;logins	0.7139	0.7944	0.6222
p-value	(0)	(0)	(0)
timerfc;compendiumviews	0.8891	0.8583	0.6947
p-value	(0)	(0)	(0)
timerfc;sharedcompendiums	0.1833	0.198	0.1422
p-value	(0.0188)	(0.011)	(0.011)
timerfc;bloggedcompendiums	0.8239	0.794	0.6273
p-value	(0)	(0)	(0)
timerfc;compendiumsreviewed	0.7506	0.6257	0.475
p-value	(0)	(0)	(0)
logins;compendiumviews	0.6703	0.78	0.6079
p-value	(0)	(0)	(0)
logins;sharedcompendiums	0.1988	0.2382	0.1703
p-value	(0.0107)	(0.0021)	(0.0024)
logins;bloggedcompendiums	0.5668	0.6801	0.5015
p-value	(0)	(0)	(0)
logins;compendiumsreviewed	0.5861	0.6041	0.4447
p-value	(0)	(0)	(0)
compendiumviews;sharedcompendiums	0.1733	0.2048	0.1451
p-value	(0.0265)	(0.0085)	(0.0095)
compendiumviews;bloggedcompendiums	0.7527	0.7692	0.5908
p-value	(0)	(0)	(0)
compendiumviews;compendiumsreviewed	0.6422	0.5692	0.4196
p-value	(0)	(0)	(0)
sharedcompendiums;bloggedcompendiums	0.1049	0.0976	0.0684
p-value	(0.1811)	(0.2136)	(0.2226)
sharedcompendiums;compendiumsreviewed	0.2804	0.2505	0.1833
p-value	(3e-04)	(0.0012)	(0.0012)
bloggedcompendiums;compendiumsreviewed	0.7451	0.6278	0.478
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 & 0.9154 & 0.8901 & 0.7419 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7425 & 0.8444 & 0.6801 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendiumviews & 0.9674 & 0.9689 & 0.8571 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;sharedcompendiums & 0.2114 & 0.2062 & 0.1475 \tabularnewline
p-value & (0.0066) & (0.0081) & (0.0083) \tabularnewline
pageviews;bloggedcompendiums & 0.8088 & 0.8106 & 0.6344 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendiumsreviewed & 0.7324 & 0.6334 & 0.4777 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;logins & 0.7139 & 0.7944 & 0.6222 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;compendiumviews & 0.8891 & 0.8583 & 0.6947 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;sharedcompendiums & 0.1833 & 0.198 & 0.1422 \tabularnewline
p-value & (0.0188) & (0.011) & (0.011) \tabularnewline
timerfc;bloggedcompendiums & 0.8239 & 0.794 & 0.6273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;compendiumsreviewed & 0.7506 & 0.6257 & 0.475 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiumviews & 0.6703 & 0.78 & 0.6079 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;sharedcompendiums & 0.1988 & 0.2382 & 0.1703 \tabularnewline
p-value & (0.0107) & (0.0021) & (0.0024) \tabularnewline
logins;bloggedcompendiums & 0.5668 & 0.6801 & 0.5015 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiumsreviewed & 0.5861 & 0.6041 & 0.4447 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiumviews;sharedcompendiums & 0.1733 & 0.2048 & 0.1451 \tabularnewline
p-value & (0.0265) & (0.0085) & (0.0095) \tabularnewline
compendiumviews;bloggedcompendiums & 0.7527 & 0.7692 & 0.5908 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiumviews;compendiumsreviewed & 0.6422 & 0.5692 & 0.4196 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sharedcompendiums;bloggedcompendiums & 0.1049 & 0.0976 & 0.0684 \tabularnewline
p-value & (0.1811) & (0.2136) & (0.2226) \tabularnewline
sharedcompendiums;compendiumsreviewed & 0.2804 & 0.2505 & 0.1833 \tabularnewline
p-value & (3e-04) & (0.0012) & (0.0012) \tabularnewline
bloggedcompendiums;compendiumsreviewed & 0.7451 & 0.6278 & 0.478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158377&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]0.9154[/C][C]0.8901[/C][C]0.7419[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7425[/C][C]0.8444[/C][C]0.6801[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendiumviews[/C][C]0.9674[/C][C]0.9689[/C][C]0.8571[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;sharedcompendiums[/C][C]0.2114[/C][C]0.2062[/C][C]0.1475[/C][/ROW]
[ROW][C]p-value[/C][C](0.0066)[/C][C](0.0081)[/C][C](0.0083)[/C][/ROW]
[ROW][C]pageviews;bloggedcompendiums[/C][C]0.8088[/C][C]0.8106[/C][C]0.6344[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendiumsreviewed[/C][C]0.7324[/C][C]0.6334[/C][C]0.4777[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;logins[/C][C]0.7139[/C][C]0.7944[/C][C]0.6222[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;compendiumviews[/C][C]0.8891[/C][C]0.8583[/C][C]0.6947[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;sharedcompendiums[/C][C]0.1833[/C][C]0.198[/C][C]0.1422[/C][/ROW]
[ROW][C]p-value[/C][C](0.0188)[/C][C](0.011)[/C][C](0.011)[/C][/ROW]
[ROW][C]timerfc;bloggedcompendiums[/C][C]0.8239[/C][C]0.794[/C][C]0.6273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;compendiumsreviewed[/C][C]0.7506[/C][C]0.6257[/C][C]0.475[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiumviews[/C][C]0.6703[/C][C]0.78[/C][C]0.6079[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;sharedcompendiums[/C][C]0.1988[/C][C]0.2382[/C][C]0.1703[/C][/ROW]
[ROW][C]p-value[/C][C](0.0107)[/C][C](0.0021)[/C][C](0.0024)[/C][/ROW]
[ROW][C]logins;bloggedcompendiums[/C][C]0.5668[/C][C]0.6801[/C][C]0.5015[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiumsreviewed[/C][C]0.5861[/C][C]0.6041[/C][C]0.4447[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiumviews;sharedcompendiums[/C][C]0.1733[/C][C]0.2048[/C][C]0.1451[/C][/ROW]
[ROW][C]p-value[/C][C](0.0265)[/C][C](0.0085)[/C][C](0.0095)[/C][/ROW]
[ROW][C]compendiumviews;bloggedcompendiums[/C][C]0.7527[/C][C]0.7692[/C][C]0.5908[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiumviews;compendiumsreviewed[/C][C]0.6422[/C][C]0.5692[/C][C]0.4196[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sharedcompendiums;bloggedcompendiums[/C][C]0.1049[/C][C]0.0976[/C][C]0.0684[/C][/ROW]
[ROW][C]p-value[/C][C](0.1811)[/C][C](0.2136)[/C][C](0.2226)[/C][/ROW]
[ROW][C]sharedcompendiums;compendiumsreviewed[/C][C]0.2804[/C][C]0.2505[/C][C]0.1833[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0012)[/C][C](0.0012)[/C][/ROW]
[ROW][C]bloggedcompendiums;compendiumsreviewed[/C][C]0.7451[/C][C]0.6278[/C][C]0.478[/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=158377&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158377&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	0.9154	0.8901	0.7419
p-value	(0)	(0)	(0)
pageviews;logins	0.7425	0.8444	0.6801
p-value	(0)	(0)	(0)
pageviews;compendiumviews	0.9674	0.9689	0.8571
p-value	(0)	(0)	(0)
pageviews;sharedcompendiums	0.2114	0.2062	0.1475
p-value	(0.0066)	(0.0081)	(0.0083)
pageviews;bloggedcompendiums	0.8088	0.8106	0.6344
p-value	(0)	(0)	(0)
pageviews;compendiumsreviewed	0.7324	0.6334	0.4777
p-value	(0)	(0)	(0)
timerfc;logins	0.7139	0.7944	0.6222
p-value	(0)	(0)	(0)
timerfc;compendiumviews	0.8891	0.8583	0.6947
p-value	(0)	(0)	(0)
timerfc;sharedcompendiums	0.1833	0.198	0.1422
p-value	(0.0188)	(0.011)	(0.011)
timerfc;bloggedcompendiums	0.8239	0.794	0.6273
p-value	(0)	(0)	(0)
timerfc;compendiumsreviewed	0.7506	0.6257	0.475
p-value	(0)	(0)	(0)
logins;compendiumviews	0.6703	0.78	0.6079
p-value	(0)	(0)	(0)
logins;sharedcompendiums	0.1988	0.2382	0.1703
p-value	(0.0107)	(0.0021)	(0.0024)
logins;bloggedcompendiums	0.5668	0.6801	0.5015
p-value	(0)	(0)	(0)
logins;compendiumsreviewed	0.5861	0.6041	0.4447
p-value	(0)	(0)	(0)
compendiumviews;sharedcompendiums	0.1733	0.2048	0.1451
p-value	(0.0265)	(0.0085)	(0.0095)
compendiumviews;bloggedcompendiums	0.7527	0.7692	0.5908
p-value	(0)	(0)	(0)
compendiumviews;compendiumsreviewed	0.6422	0.5692	0.4196
p-value	(0)	(0)	(0)
sharedcompendiums;bloggedcompendiums	0.1049	0.0976	0.0684
p-value	(0.1811)	(0.2136)	(0.2226)
sharedcompendiums;compendiumsreviewed	0.2804	0.2505	0.1833
p-value	(3e-04)	(0.0012)	(0.0012)
bloggedcompendiums;compendiumsreviewed	0.7451	0.6278	0.478
p-value	(0)	(0)	(0)

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