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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

Mon, 19 Dec 2011 05:46:53 -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/19/t1324291701ivzv24gye4ilmvm.htm/, Retrieved Thu, 02 May 2024 08:52:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157266, Retrieved Thu, 02 May 2024 08:52:32 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

203

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

-     [Kendall tau Correlation Matrix] [Paper, Pearson Co...] [2011-12-18 12:42:54] [75512e061a94450f738c2449abbaac12]
-   P     [Kendall tau Correlation Matrix] [Paper, Kendall's ...] [2011-12-19 10:46:53] [242bbde8f74d68805b56d9ecebfdbe63] [Current]
- RMP       [Multiple Regression] [Paper, 3.3 Meervo...] [2011-12-19 15:22:52] [75512e061a94450f738c2449abbaac12] 
- RMP         [Recursive Partitioning (Regression Trees)] [paper, recursive ...] [2011-12-19 16:45:54] [75512e061a94450f738c2449abbaac12] 
- RMP         [Recursive Partitioning (Regression Trees)] [paper, recursive ...] [2011-12-19 16:49:35] [75512e061a94450f738c2449abbaac12] 
- RMPD        [Skewness and Kurtosis Test] [paper, skewness a...] [2011-12-20 18:39:20] [75512e061a94450f738c2449abbaac12] 
- RMPD          [Recursive Partitioning (Regression Trees)] [paper, regression...] [2011-12-20 18:49:03] [75512e061a94450f738c2449abbaac12] 
- RMPD          [Variance Reduction Matrix] [paper, VRM] [2011-12-20 19:23:13] [75512e061a94450f738c2449abbaac12] 
- RMPD          [Standard Deviation-Mean Plot] [Paper, SMP] [2011-12-20 19:35:42] [75512e061a94450f738c2449abbaac12] 
- RMPD          [Spectral Analysis] [paper, CP (d=0, D=1)] [2011-12-20 19:45:28] [75512e061a94450f738c2449abbaac12] 
- R P             [Spectral Analysis] [CP] [2012-12-17 14:42:53] [c19fc719a172e69332289836fdae123a] 
- RMPD          [Spectral Analysis] [Paper, CP (d=D=0)] [2011-12-20 19:46:40] [75512e061a94450f738c2449abbaac12] 
- R P             [Spectral Analysis] [CP] [2012-12-17 14:34:33] [c19fc719a172e69332289836fdae123a] 
- RMPD          [(Partial) Autocorrelation Function] [paper, ACF (d=D=0)] [2011-12-20 19:52:37] [75512e061a94450f738c2449abbaac12] 
- R P             [(Partial) Autocorrelation Function] [ACF] [2012-12-17 14:55:19] [c19fc719a172e69332289836fdae123a] 
- RMPD          [(Partial) Autocorrelation Function] [paper, ACF (d=0, ...] [2011-12-20 20:05:28] [75512e061a94450f738c2449abbaac12] 
- R P             [(Partial) Autocorrelation Function] [ACF] [2012-12-17 15:00:59] [c19fc719a172e69332289836fdae123a] 
- R  D          [Skewness and Kurtosis Test] [skewness] [2011-12-23 08:45:14] [74be16979710d4c4e7c6647856088456] 
-    D          [Skewness and Kurtosis Test] [Skewness and kurt...] [2012-12-19 13:32:00] [c19fc719a172e69332289836fdae123a] 
- RMPD          [Multiple Regression] [Seasonal Dummie] [2012-12-19 14:16:28] [c19fc719a172e69332289836fdae123a] 
- RMPD          [Multiple Regression] [Dummie variabele] [2012-12-19 14:27:53] [c19fc719a172e69332289836fdae123a] 
- RMP         [Recursive Partitioning (Regression Trees)] [paper, recursive ...] [2011-12-21 13:30:58] [75512e061a94450f738c2449abbaac12] 
-   P           [Recursive Partitioning (Regression Trees)] [Paper, recursive ...] [2011-12-21 20:43:08] [75512e061a94450f738c2449abbaac12] 
- R P             [Recursive Partitioning (Regression Trees)] [paper, RP (quanti...] [2011-12-21 20:57:26] [75512e061a94450f738c2449abbaac12] 
- R P           [Recursive Partitioning (Regression Trees)] [paper, RP (endoge...] [2011-12-21 21:08:01] [75512e061a94450f738c2449abbaac12] 
- RMPD          [ARIMA Backward Selection] [Paper, ARIMA back...] [2011-12-22 10:13:22] [75512e061a94450f738c2449abbaac12] 
- R               [ARIMA Backward Selection] [Backward selection] [2012-12-17 16:20:17] [c19fc719a172e69332289836fdae123a] 
- RMPD          [ARIMA Forecasting] [Paper, ARIMA fore...] [2011-12-22 10:35:36] [75512e061a94450f738c2449abbaac12] 
- R               [ARIMA Forecasting] [ARIMA forecasting] [2012-12-17 16:39:26] [c19fc719a172e69332289836fdae123a] 
- R  D        [Multiple Regression] [recursive partiti...] [2011-12-22 16:53:50] [74be16979710d4c4e7c6647856088456] 
- R  D        [Multiple Regression] [recursive partiti...] [2011-12-22 16:53:50] [74be16979710d4c4e7c6647856088456] 
-  MP           [Multiple Regression] [recursive partiti...] [2011-12-22 16:55:27] [f1aa04283d83c25edc8ae3bb0d0fb93e] 
- RMPD        [Mean versus Median] [Median versus Mean] [2012-12-19 13:11:05] [c19fc719a172e69332289836fdae123a] 
- R  D      [Kendall tau Correlation Matrix] [kendall's tau] [2011-12-22 15:36:37] [74be16979710d4c4e7c6647856088456] 
-  MP         [Kendall tau Correlation Matrix] [kendall's tau cor...] [2011-12-22 15:37:44] [f1aa04283d83c25edc8ae3bb0d0fb93e] 

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Dataseries X:

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1683	150596	84	37	18	63	20465	23975	0
1323	154801	50	42	20	56	33629	85634	1
192	7215	18	0	0	0	1423	1929	0
2172	122139	91	49	26	60	25629	36294	0
3335	221399	129	76	30	112	54002	72255	0
6310	441870	237	118	34	130	151036	189748	1
1478	134379	52	42	23	71	33287	61834	1
1324	140428	53	57	30	107	31172	68167	0
1488	103255	40	45	30	50	28113	38462	0
2756	271630	91	67	26	79	57803	101219	1
1931	121593	71	50	24	58	49830	43270	2
1966	172071	63	71	30	91	52143	76183	0
1575	83707	94	41	19	36	21055	31476	0
2855	197412	98	66	25	91	47007	62157	4
1263	134398	48	42	17	58	28735	46261	4
1479	139224	73	54	19	65	59147	50063	3
1636	134153	52	75	33	131	78950	64483	0
1076	64149	52	0	15	45	13497	2341	5
2376	122294	82	54	34	110	46154	48149	0
678	24889	22	13	15	33	53249	12743	0
902	52197	52	16	15	37	10726	18743	0
2308	188915	89	77	27	78	83700	97057	0
1590	163147	66	34	25	67	40400	17675	0
1863	98575	48	38	34	69	33797	33106	1
1799	143546	80	50	21	58	36205	53311	1
1385	139780	25	39	21	60	30165	42754	0
1870	163784	146	54	25	88	58534	59056	0
1161	152479	75	67	28	71	44663	101621	0
2417	304108	109	55	26	85	92556	118120	0
1952	184024	40	52	20	67	40078	79572	0
1514	151621	41	50	28	84	34711	42744	0
1487	164516	41	54	20	58	31076	65931	2
2051	120179	94	53	17	35	74608	38575	4
2843	214701	116	76	25	74	58092	28795	0
2216	196865	48	52	24	89	42009	94440	1
1	0	1	0	0	0	0	0	0
1830	181527	57	46	27	75	36022	38229	0
1563	93107	49	44	14	39	23333	31972	3
2046	129352	45	35	32	93	53349	40071	9
2005	229143	58	82	31	123	92596	132480	0
1934	177063	67	70	21	73	49598	62797	2
1572	126602	53	31	34	118	44093	40429	0
950	93742	29	25	23	76	84205	45545	2
1877	152153	72	48	24	65	63369	57568	1
1036	95704	42	44	22	82	60132	39019	2
1097	139793	84	40	22	67	37403	53866	2
730	76348	30	23	35	63	24460	38345	1
1918	188980	86	63	21	84	46456	50210	0
1826	172100	79	43	31	112	66616	80947	1
2444	146552	54	62	26	75	41554	43461	7
658	48188	28	12	22	39	22346	14812	0
1425	109185	60	63	21	63	30874	37819	0
2246	263652	68	60	27	93	68701	102738	0
1899	215609	75	53	26	69	35728	54509	0
1630	174876	54	53	33	117	29010	62956	1
1496	115124	49	35	11	30	23110	55411	6
1681	179712	60	49	26	65	38844	50611	0
816	70369	20	25	26	78	27084	26692	0
902	109215	58	47	21	80	35139	60056	0
2606	166096	85	30	38	85	57476	25155	10
1557	130414	51	50	29	107	33277	42840	6
1780	102057	71	36	19	60	31141	39358	0
1265	115310	56	43	19	53	61281	47241	11
1117	101181	32	44	24	62	25820	49611	3
1069	135228	31	14	26	90	23284	41833	0
1229	94982	37	38	29	89	35378	48930	0
2155	166919	67	58	34	127	74990	110600	8
2500	118169	64	68	25	71	29653	52235	2
1003	102361	36	48	24	75	64622	53986	0
340	31970	15	5	21	42	4157	4105	0
2586	200413	107	53	19	42	29245	59331	3
1119	103381	58	36	12	8	50008	47796	1
1251	94940	61	62	28	82	52338	38302	2
1516	101560	65	46	21	41	13310	14063	1
2473	144176	60	67	34	118	92901	54414	0
1288	71921	37	2	32	91	10956	9903	2
1911	126905	54	64	27	96	34241	53987	1
2279	131184	87	59	26	81	75043	88937	0
816	60138	23	16	21	46	21152	21928	0
1234	84971	71	34	31	60	42249	29487	0
907	80420	64	54	26	69	42005	35334	0
1827	233569	57	39	26	85	41152	57596	0
841	56252	25	26	23	17	14399	29750	0
1309	97181	32	37	25	61	28263	41029	0
764	50800	41	17	22	55	17215	12416	0
1439	125941	45	32	26	55	48140	51158	0
2500	211032	210	55	33	124	62897	79935	0
974	71960	92	39	22	65	22883	26552	0
1152	90379	53	39	24	73	41622	25807	6
1261	125650	47	28	21	67	40715	50620	0
1508	115572	36	45	28	66	65897	61467	5
2005	136266	67	66	22	61	76542	65292	1
1191	146715	55	39	22	74	37477	55516	0
1265	124626	57	27	15	55	53216	42006	0
761	49176	33	22	13	27	40911	26273	0
2156	212926	102	43	36	115	57021	90248	0
1689	173884	55	88	24	76	73116	61476	0
223	19349	12	13	1	0	3895	9604	0
2074	181141	95	23	24	83	46609	45108	3
1879	145502	70	40	31	90	29351	47232	0
566	45448	26	8	4	4	2325	3439	0
802	58280	20	41	20	56	31747	30553	0
1131	115944	44	51	23	63	32665	24751	0
981	94341	52	24	23	52	19249	34458	1
591	59090	37	23	12	24	15292	24649	0
596	27676	22	2	16	17	5842	2342	0
1261	120586	41	78	28	101	33994	52739	0
861	88011	31	12	10	20	13018	6245	0
0	0	0	0	0	0	0	0	0
1030	85610	31	46	25	51	98177	35381	0
991	84193	58	22	21	76	37941	19595	0
1178	117769	39	49	21	55	31032	50848	0
1200	107653	56	52	21	70	32683	39443	0
849	71894	57	36	21	38	34545	27023	0
78	3616	5	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0
924	154806	38	35	23	81	27525	61022	0
1480	136061	73	68	29	64	66856	63528	0
1870	141822	89	26	27	66	28549	34835	1
861	106515	37	32	23	89	38610	37172	0
778	43410	19	7	1	3	2781	13	0
1533	146920	64	67	25	76	41211	62548	1
889	88874	38	30	17	48	22698	31334	0
1705	111924	49	55	29	62	41194	20839	8
700	60373	39	3	12	32	32689	5084	3
285	19764	12	10	2	4	5752	9927	1
1490	121665	46	46	18	61	26757	53229	2
981	108685	26	23	25	90	22527	29877	0
1368	124493	37	43	29	91	44810	37310	0
256	11796	9	1	2	1	0	0	0
98	10674	9	0	0	0	0	0	0
1317	131263	52	33	18	39	100674	50067	0
41	6836	3	0	1	0	0	0	0
1768	153278	55	48	21	45	57786	47708	5
42	5118	3	5	0	0	0	0	0
528	40248	16	8	4	7	5444	6012	1
0	0	0	0	0	0	0	0	0
938	100728	42	25	25	75	28470	27749	0
1245	84267	36	21	26	52	61849	47555	0
81	7131	4	0	0	0	0	0	1
257	8812	13	0	4	1	2179	1336	0
891	63952	22	15	17	49	8019	11017	1
1114	120111	47	47	21	69	39644	55184	0
1079	94127	18	17	22	56	23494	43485	1

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=157266&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=157266&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157266&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=kendall)
	Pageviews	Time_in_RFC	#Logins	blogs	reviews	Submits_+120	Characters	CW_time	Shared
Pageviews	1	0.697	0.637	0.594	0.463	0.483	0.493	0.536	0.218
Time_in_RFC	0.697	1	0.571	0.575	0.425	0.537	0.499	0.664	0.117
#Logins	0.637	0.571	1	0.516	0.346	0.388	0.46	0.437	0.134
blogs	0.594	0.575	0.516	1	0.418	0.473	0.515	0.607	0.108
reviews	0.463	0.425	0.346	0.418	1	0.68	0.422	0.405	0.039
Submits_+120	0.483	0.537	0.388	0.473	0.68	1	0.458	0.497	0.048
Characters	0.493	0.499	0.46	0.515	0.422	0.458	1	0.539	0.118
CW_time	0.536	0.664	0.437	0.607	0.405	0.497	0.539	1	0.107
Shared	0.218	0.117	0.134	0.108	0.039	0.048	0.118	0.107	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Pageviews & Time_in_RFC & #Logins & blogs & reviews & Submits_+120 & Characters & CW_time & Shared \tabularnewline
Pageviews & 1 & 0.697 & 0.637 & 0.594 & 0.463 & 0.483 & 0.493 & 0.536 & 0.218 \tabularnewline
Time_in_RFC & 0.697 & 1 & 0.571 & 0.575 & 0.425 & 0.537 & 0.499 & 0.664 & 0.117 \tabularnewline
#Logins & 0.637 & 0.571 & 1 & 0.516 & 0.346 & 0.388 & 0.46 & 0.437 & 0.134 \tabularnewline
blogs & 0.594 & 0.575 & 0.516 & 1 & 0.418 & 0.473 & 0.515 & 0.607 & 0.108 \tabularnewline
reviews & 0.463 & 0.425 & 0.346 & 0.418 & 1 & 0.68 & 0.422 & 0.405 & 0.039 \tabularnewline
Submits_+120 & 0.483 & 0.537 & 0.388 & 0.473 & 0.68 & 1 & 0.458 & 0.497 & 0.048 \tabularnewline
Characters & 0.493 & 0.499 & 0.46 & 0.515 & 0.422 & 0.458 & 1 & 0.539 & 0.118 \tabularnewline
CW_time & 0.536 & 0.664 & 0.437 & 0.607 & 0.405 & 0.497 & 0.539 & 1 & 0.107 \tabularnewline
Shared & 0.218 & 0.117 & 0.134 & 0.108 & 0.039 & 0.048 & 0.118 & 0.107 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157266&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Pageviews[/C][C]Time_in_RFC[/C][C]#Logins[/C][C]blogs[/C][C]reviews[/C][C]Submits_+120[/C][C]Characters[/C][C]CW_time[/C][C]Shared[/C][/ROW]
[ROW][C]Pageviews[/C][C]1[/C][C]0.697[/C][C]0.637[/C][C]0.594[/C][C]0.463[/C][C]0.483[/C][C]0.493[/C][C]0.536[/C][C]0.218[/C][/ROW]
[ROW][C]Time_in_RFC[/C][C]0.697[/C][C]1[/C][C]0.571[/C][C]0.575[/C][C]0.425[/C][C]0.537[/C][C]0.499[/C][C]0.664[/C][C]0.117[/C][/ROW]
[ROW][C]#Logins[/C][C]0.637[/C][C]0.571[/C][C]1[/C][C]0.516[/C][C]0.346[/C][C]0.388[/C][C]0.46[/C][C]0.437[/C][C]0.134[/C][/ROW]
[ROW][C]blogs[/C][C]0.594[/C][C]0.575[/C][C]0.516[/C][C]1[/C][C]0.418[/C][C]0.473[/C][C]0.515[/C][C]0.607[/C][C]0.108[/C][/ROW]
[ROW][C]reviews[/C][C]0.463[/C][C]0.425[/C][C]0.346[/C][C]0.418[/C][C]1[/C][C]0.68[/C][C]0.422[/C][C]0.405[/C][C]0.039[/C][/ROW]
[ROW][C]Submits_+120[/C][C]0.483[/C][C]0.537[/C][C]0.388[/C][C]0.473[/C][C]0.68[/C][C]1[/C][C]0.458[/C][C]0.497[/C][C]0.048[/C][/ROW]
[ROW][C]Characters[/C][C]0.493[/C][C]0.499[/C][C]0.46[/C][C]0.515[/C][C]0.422[/C][C]0.458[/C][C]1[/C][C]0.539[/C][C]0.118[/C][/ROW]
[ROW][C]CW_time[/C][C]0.536[/C][C]0.664[/C][C]0.437[/C][C]0.607[/C][C]0.405[/C][C]0.497[/C][C]0.539[/C][C]1[/C][C]0.107[/C][/ROW]
[ROW][C]Shared[/C][C]0.218[/C][C]0.117[/C][C]0.134[/C][C]0.108[/C][C]0.039[/C][C]0.048[/C][C]0.118[/C][C]0.107[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157266&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157266&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	Time_in_RFC	#Logins	blogs	reviews	Submits_+120	Characters	CW_time	Shared
Pageviews	1	0.697	0.637	0.594	0.463	0.483	0.493	0.536	0.218
Time_in_RFC	0.697	1	0.571	0.575	0.425	0.537	0.499	0.664	0.117
#Logins	0.637	0.571	1	0.516	0.346	0.388	0.46	0.437	0.134
blogs	0.594	0.575	0.516	1	0.418	0.473	0.515	0.607	0.108
reviews	0.463	0.425	0.346	0.418	1	0.68	0.422	0.405	0.039
Submits_+120	0.483	0.537	0.388	0.473	0.68	1	0.458	0.497	0.048
Characters	0.493	0.499	0.46	0.515	0.422	0.458	1	0.539	0.118
CW_time	0.536	0.664	0.437	0.607	0.405	0.497	0.539	1	0.107
Shared	0.218	0.117	0.134	0.108	0.039	0.048	0.118	0.107	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Pageviews;Time_in_RFC	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;blogs	0.7858	0.7696	0.5942
p-value	(0)	(0)	(0)
Pageviews;reviews	0.6585	0.622	0.4632
p-value	(0)	(0)	(0)
Pageviews;Submits_+120	0.6829	0.649	0.483
p-value	(0)	(0)	(0)
Pageviews;Characters	0.7024	0.6582	0.4926
p-value	(0)	(0)	(0)
Pageviews;CW_time	0.7573	0.7067	0.5361
p-value	(0)	(0)	(0)
Pageviews;Shared	0.2211	0.2837	0.2181
p-value	(0.0077)	(6e-04)	(7e-04)
Time_in_RFC;#Logins	0.7735	0.7381	0.5714
p-value	(0)	(0)	(0)
Time_in_RFC;blogs	0.7876	0.7515	0.5749
p-value	(0)	(0)	(0)
Time_in_RFC;reviews	0.6555	0.5775	0.4254
p-value	(0)	(0)	(0)
Time_in_RFC;Submits_+120	0.7312	0.7084	0.5366
p-value	(0)	(0)	(0)
Time_in_RFC;Characters	0.7094	0.6609	0.4986
p-value	(0)	(0)	(0)
Time_in_RFC;CW_time	0.8645	0.8293	0.6639
p-value	(0)	(0)	(0)
Time_in_RFC;Shared	0.1048	0.1558	0.1171
p-value	(0.2111)	(0.0623)	(0.067)
#Logins;blogs	0.6684	0.6924	0.5156
p-value	(0)	(0)	(0)
#Logins;reviews	0.5408	0.4758	0.3458
p-value	(0)	(0)	(0)
#Logins;Submits_+120	0.5791	0.531	0.3879
p-value	(0)	(0)	(0)
#Logins;Characters	0.6125	0.6081	0.4595
p-value	(0)	(0)	(0)
#Logins;CW_time	0.6469	0.5937	0.4374
p-value	(0)	(0)	(0)
#Logins;Shared	0.0885	0.1748	0.1341
p-value	(0.2913)	(0.0362)	(0.0369)
blogs;reviews	0.6562	0.562	0.4178
p-value	(0)	(0)	(0)
blogs;Submits_+120	0.7028	0.6324	0.473
p-value	(0)	(0)	(0)
blogs;Characters	0.7177	0.6798	0.5147
p-value	(0)	(0)	(0)
blogs;CW_time	0.7928	0.7781	0.6075
p-value	(0)	(0)	(0)
blogs;Shared	0.0964	0.1433	0.1083
p-value	(0.2506)	(0.0867)	(0.0929)
reviews;Submits_+120	0.8899	0.8294	0.6805
p-value	(0)	(0)	(0)
reviews;Characters	0.6078	0.5637	0.4221
p-value	(0)	(0)	(0)
reviews;CW_time	0.6083	0.5444	0.4052
p-value	(0)	(0)	(0)
reviews;Shared	0.1524	0.0505	0.0393
p-value	(0.0682)	(0.5478)	(0.5475)
Submits_+120;Characters	0.6313	0.6047	0.4577
p-value	(0)	(0)	(0)
Submits_+120;CW_time	0.6998	0.6636	0.4967
p-value	(0)	(0)	(0)
Submits_+120;Shared	0.1123	0.0609	0.0482
p-value	(0.1801)	(0.4681)	(0.4542)
Characters;CW_time	0.7563	0.7017	0.5394
p-value	(0)	(0)	(0)
Characters;Shared	0.1556	0.1545	0.118
p-value	(0.0626)	(0.0644)	(0.0655)
CW_time;Shared	0.0511	0.149	0.107
p-value	(0.5428)	(0.0747)	(0.0949)

\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 & 0.8873 & 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;blogs & 0.7858 & 0.7696 & 0.5942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;reviews & 0.6585 & 0.622 & 0.4632 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Submits_+120 & 0.6829 & 0.649 & 0.483 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Characters & 0.7024 & 0.6582 & 0.4926 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;CW_time & 0.7573 & 0.7067 & 0.5361 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Shared & 0.2211 & 0.2837 & 0.2181 \tabularnewline
p-value & (0.0077) & (6e-04) & (7e-04) \tabularnewline
Time_in_RFC;#Logins & 0.7735 & 0.7381 & 0.5714 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;blogs & 0.7876 & 0.7515 & 0.5749 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;reviews & 0.6555 & 0.5775 & 0.4254 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Submits_+120 & 0.7312 & 0.7084 & 0.5366 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Characters & 0.7094 & 0.6609 & 0.4986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;CW_time & 0.8645 & 0.8293 & 0.6639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Shared & 0.1048 & 0.1558 & 0.1171 \tabularnewline
p-value & (0.2111) & (0.0623) & (0.067) \tabularnewline
#Logins;blogs & 0.6684 & 0.6924 & 0.5156 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;reviews & 0.5408 & 0.4758 & 0.3458 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Submits_+120 & 0.5791 & 0.531 & 0.3879 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Characters & 0.6125 & 0.6081 & 0.4595 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;CW_time & 0.6469 & 0.5937 & 0.4374 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
#Logins;Shared & 0.0885 & 0.1748 & 0.1341 \tabularnewline
p-value & (0.2913) & (0.0362) & (0.0369) \tabularnewline
blogs;reviews & 0.6562 & 0.562 & 0.4178 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Submits_+120 & 0.7028 & 0.6324 & 0.473 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Characters & 0.7177 & 0.6798 & 0.5147 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;CW_time & 0.7928 & 0.7781 & 0.6075 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogs;Shared & 0.0964 & 0.1433 & 0.1083 \tabularnewline
p-value & (0.2506) & (0.0867) & (0.0929) \tabularnewline
reviews;Submits_+120 & 0.8899 & 0.8294 & 0.6805 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;Characters & 0.6078 & 0.5637 & 0.4221 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;CW_time & 0.6083 & 0.5444 & 0.4052 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;Shared & 0.1524 & 0.0505 & 0.0393 \tabularnewline
p-value & (0.0682) & (0.5478) & (0.5475) \tabularnewline
Submits_+120;Characters & 0.6313 & 0.6047 & 0.4577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Submits_+120;CW_time & 0.6998 & 0.6636 & 0.4967 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Submits_+120;Shared & 0.1123 & 0.0609 & 0.0482 \tabularnewline
p-value & (0.1801) & (0.4681) & (0.4542) \tabularnewline
Characters;CW_time & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Characters;Shared & 0.1556 & 0.1545 & 0.118 \tabularnewline
p-value & (0.0626) & (0.0644) & (0.0655) \tabularnewline
CW_time;Shared & 0.0511 & 0.149 & 0.107 \tabularnewline
p-value & (0.5428) & (0.0747) & (0.0949) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157266&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]0.8873[/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;blogs[/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;reviews[/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]Pageviews;Submits_+120[/C][C]0.6829[/C][C]0.649[/C][C]0.483[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Characters[/C][C]0.7024[/C][C]0.6582[/C][C]0.4926[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;CW_time[/C][C]0.7573[/C][C]0.7067[/C][C]0.5361[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Shared[/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]Time_in_RFC;#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]Time_in_RFC;blogs[/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]Time_in_RFC;reviews[/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]Time_in_RFC;Submits_+120[/C][C]0.7312[/C][C]0.7084[/C][C]0.5366[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;Characters[/C][C]0.7094[/C][C]0.6609[/C][C]0.4986[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;CW_time[/C][C]0.8645[/C][C]0.8293[/C][C]0.6639[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;Shared[/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]#Logins;blogs[/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;reviews[/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]#Logins;Submits_+120[/C][C]0.5791[/C][C]0.531[/C][C]0.3879[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;Characters[/C][C]0.6125[/C][C]0.6081[/C][C]0.4595[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;CW_time[/C][C]0.6469[/C][C]0.5937[/C][C]0.4374[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]#Logins;Shared[/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]blogs;reviews[/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]
[ROW][C]blogs;Submits_+120[/C][C]0.7028[/C][C]0.6324[/C][C]0.473[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;Characters[/C][C]0.7177[/C][C]0.6798[/C][C]0.5147[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;CW_time[/C][C]0.7928[/C][C]0.7781[/C][C]0.6075[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogs;Shared[/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]reviews;Submits_+120[/C][C]0.8899[/C][C]0.8294[/C][C]0.6805[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;Characters[/C][C]0.6078[/C][C]0.5637[/C][C]0.4221[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;CW_time[/C][C]0.6083[/C][C]0.5444[/C][C]0.4052[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;Shared[/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]Submits_+120;Characters[/C][C]0.6313[/C][C]0.6047[/C][C]0.4577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Submits_+120;CW_time[/C][C]0.6998[/C][C]0.6636[/C][C]0.4967[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Submits_+120;Shared[/C][C]0.1123[/C][C]0.0609[/C][C]0.0482[/C][/ROW]
[ROW][C]p-value[/C][C](0.1801)[/C][C](0.4681)[/C][C](0.4542)[/C][/ROW]
[ROW][C]Characters;CW_time[/C][C]0.7563[/C][C]0.7017[/C][C]0.5394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Characters;Shared[/C][C]0.1556[/C][C]0.1545[/C][C]0.118[/C][/ROW]
[ROW][C]p-value[/C][C](0.0626)[/C][C](0.0644)[/C][C](0.0655)[/C][/ROW]
[ROW][C]CW_time;Shared[/C][C]0.0511[/C][C]0.149[/C][C]0.107[/C][/ROW]
[ROW][C]p-value[/C][C](0.5428)[/C][C](0.0747)[/C][C](0.0949)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157266&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157266&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	0.8873	0.861	0.6971
p-value	(0)	(0)	(0)
Pageviews;#Logins	0.8375	0.806	0.6372
p-value	(0)	(0)	(0)
Pageviews;blogs	0.7858	0.7696	0.5942
p-value	(0)	(0)	(0)
Pageviews;reviews	0.6585	0.622	0.4632
p-value	(0)	(0)	(0)
Pageviews;Submits_+120	0.6829	0.649	0.483
p-value	(0)	(0)	(0)
Pageviews;Characters	0.7024	0.6582	0.4926
p-value	(0)	(0)	(0)
Pageviews;CW_time	0.7573	0.7067	0.5361
p-value	(0)	(0)	(0)
Pageviews;Shared	0.2211	0.2837	0.2181
p-value	(0.0077)	(6e-04)	(7e-04)
Time_in_RFC;#Logins	0.7735	0.7381	0.5714
p-value	(0)	(0)	(0)
Time_in_RFC;blogs	0.7876	0.7515	0.5749
p-value	(0)	(0)	(0)
Time_in_RFC;reviews	0.6555	0.5775	0.4254
p-value	(0)	(0)	(0)
Time_in_RFC;Submits_+120	0.7312	0.7084	0.5366
p-value	(0)	(0)	(0)
Time_in_RFC;Characters	0.7094	0.6609	0.4986
p-value	(0)	(0)	(0)
Time_in_RFC;CW_time	0.8645	0.8293	0.6639
p-value	(0)	(0)	(0)
Time_in_RFC;Shared	0.1048	0.1558	0.1171
p-value	(0.2111)	(0.0623)	(0.067)
#Logins;blogs	0.6684	0.6924	0.5156
p-value	(0)	(0)	(0)
#Logins;reviews	0.5408	0.4758	0.3458
p-value	(0)	(0)	(0)
#Logins;Submits_+120	0.5791	0.531	0.3879
p-value	(0)	(0)	(0)
#Logins;Characters	0.6125	0.6081	0.4595
p-value	(0)	(0)	(0)
#Logins;CW_time	0.6469	0.5937	0.4374
p-value	(0)	(0)	(0)
#Logins;Shared	0.0885	0.1748	0.1341
p-value	(0.2913)	(0.0362)	(0.0369)
blogs;reviews	0.6562	0.562	0.4178
p-value	(0)	(0)	(0)
blogs;Submits_+120	0.7028	0.6324	0.473
p-value	(0)	(0)	(0)
blogs;Characters	0.7177	0.6798	0.5147
p-value	(0)	(0)	(0)
blogs;CW_time	0.7928	0.7781	0.6075
p-value	(0)	(0)	(0)
blogs;Shared	0.0964	0.1433	0.1083
p-value	(0.2506)	(0.0867)	(0.0929)
reviews;Submits_+120	0.8899	0.8294	0.6805
p-value	(0)	(0)	(0)
reviews;Characters	0.6078	0.5637	0.4221
p-value	(0)	(0)	(0)
reviews;CW_time	0.6083	0.5444	0.4052
p-value	(0)	(0)	(0)
reviews;Shared	0.1524	0.0505	0.0393
p-value	(0.0682)	(0.5478)	(0.5475)
Submits_+120;Characters	0.6313	0.6047	0.4577
p-value	(0)	(0)	(0)
Submits_+120;CW_time	0.6998	0.6636	0.4967
p-value	(0)	(0)	(0)
Submits_+120;Shared	0.1123	0.0609	0.0482
p-value	(0.1801)	(0.4681)	(0.4542)
Characters;CW_time	0.7563	0.7017	0.5394
p-value	(0)	(0)	(0)
Characters;Shared	0.1556	0.1545	0.118
p-value	(0.0626)	(0.0644)	(0.0655)
CW_time;Shared	0.0511	0.149	0.107
p-value	(0.5428)	(0.0747)	(0.0949)

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