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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 23 Dec 2011 10:16:01 -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/23/t13246533815co0f9ys52gcjso.htm/, Retrieved Mon, 29 Apr 2024 20:04:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160488, Retrieved Mon, 29 Apr 2024 20:04:50 +0000

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IsPrivate?

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)

-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Kendall's Tau Cor...] [2011-12-09 12:39:26] [74b1e5a3104ff0b2404b2865a63336ad]
-   PD    [Kendall tau Correlation Matrix] [Kendall's Tau Cor...] [2011-12-09 13:55:36] [74b1e5a3104ff0b2404b2865a63336ad]
-   P       [Kendall tau Correlation Matrix] [] [2011-12-23 14:03:51] [74be16979710d4c4e7c6647856088456]
- R P           [Kendall tau Correlation Matrix] [Paper 14] [2011-12-23 15:16:01] [8829043a11b4adcf2fcb2d15cd36bb4f] [Current]

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Dataseries X:

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Histogram

Boxplots

252101	62	438	92	34	104	124252	165119
134577	59	330	58	30	111	98956	107269
198520	62	609	62	38	93	98073	93497
189326	94	1015	108	34	119	106816	100269
137449	44	294	55	25	57	41449	91627
65295	27	164	8	31	80	76173	47552
439387	103	1912	134	29	107	177551	233933
33186	19	111	1	18	22	22807	6853
178368	51	698	64	30	103	126938	104380
186657	38	556	77	29	72	61680	98431
265539	97	717	86	39	127	72117	156949
191088	96	495	93	50	168	79738	81817
138866	57	544	44	33	100	57793	59238
296878	66	959	106	46	143	91677	101138
192648	72	540	63	38	79	64631	107158
333462	162	1486	160	52	183	106385	155499
243571	58	635	104	32	123	161961	156274
263451	130	940	86	35	81	112669	121777
155679	49	452	93	25	74	114029	105037
227053	71	617	119	42	158	124550	118661
240028	63	695	107	40	133	105416	131187
388549	90	1046	86	35	128	72875	145026
156540	34	405	50	25	84	81964	107016
148421	43	477	92	46	184	104880	87242
177732	97	1012	123	36	127	76302	91699
191441	106	842	81	35	128	96740	110087
249893	122	994	93	38	118	93071	145447
236812	76	530	113	35	125	78912	143307
142329	45	515	52	28	89	35224	61678
259667	53	766	113	37	122	90694	210080
231625	66	734	112	40	151	125369	165005
176062	67	551	44	42	122	80849	97806
286683	79	718	123	44	162	104434	184471
87485	33	280	38	33	121	65702	27786
322865	83	1055	111	35	132	108179	184458
247082	51	950	77	37	110	63583	98765
346011	106	1038	92	39	135	95066	178441
191653	74	552	74	32	80	62486	100619
114673	31	275	33	17	46	31081	58391
284224	162	986	105	34	127	94584	151672
284195	72	1336	108	33	103	87408	124437
155363	60	565	66	35	95	68966	79929
177306	67	571	69	32	100	88766	123064
144571	49	404	62	35	102	57139	50466
140319	73	985	50	45	45	90586	100991
405267	135	1851	91	38	122	109249	79367
78800	42	330	20	26	66	33032	56968
201970	69	611	101	45	159	96056	106257
302674	99	1249	129	44	153	146648	178412
164733	50	812	93	40	131	80613	98520
194221	68	501	89	33	113	87026	153670
24188	24	218	8	4	7	5950	15049
346142	282	787	80	41	147	131106	174478
65029	17	255	21	18	61	32551	25109
101097	64	454	30	14	41	31701	45824
246088	46	944	86	33	108	91072	116772
273108	75	600	116	49	184	159803	189150
282220	160	977	106	32	115	143950	194404
275505	120	872	127	37	132	112368	185881
214872	74	690	75	32	113	82124	67508
335121	124	1176	138	41	141	144068	188597
267171	107	1013	114	25	65	162627	203618
189637	89	894	55	42	94	55062	87232
229512	78	777	67	35	121	95329	110875
209798	61	521	45	33	112	105612	144756
201345	60	409	88	28	81	62853	129825
163833	114	493	67	31	116	125976	92189
204250	129	757	75	40	132	79146	121158
197813	67	736	114	32	104	108461	96219
132955	60	511	123	25	80	99971	84128
216092	59	789	86	42	145	77826	97960
73566	32	385	22	23	67	22618	23824
213198	67	644	67	42	159	84892	103515
181713	50	664	77	38	90	92059	91313
148698	49	505	105	34	120	77993	85407
300103	70	878	119	38	126	104155	95871
251437	78	769	88	32	118	109840	143846
197295	101	499	78	37	112	238712	155387
158163	55	546	112	34	123	67486	74429
155529	57	551	66	33	98	68007	74004
132672	41	565	58	25	78	48194	71987
377213	102	1087	132	40	119	134796	150629
145905	66	649	30	26	99	38692	68580
223701	87	540	100	40	81	93587	119855
80953	25	437	49	8	27	56622	55792
130805	47	732	26	27	77	15986	25157
135082	48	308	67	32	118	113402	90895
305270	160	1243	57	33	122	97967	117510
271806	95	783	95	50	103	74844	144774
150949	96	933	139	37	129	136051	77529
225805	79	710	73	33	69	50548	103123
197389	68	563	134	34	121	112215	104669
156583	56	508	37	28	81	59591	82414
232718	68	968	108	36	135	59938	82390
261601	70	838	58	32	116	137639	128446
178489	35	523	78	32	123	143372	111542
200657	44	500	88	31	111	138599	136048
259244	69	694	142	35	100	174110	197257
313075	130	1060	127	58	221	135062	162079
346933	100	1232	139	27	95	175681	206286
246440	104	735	108	45	153	130307	109858
252444	58	757	128	37	118	139141	182125
159965	159	574	62	32	50	44244	74168
43287	14	214	13	19	64	43750	19630
172239	68	661	89	22	34	48029	88634
185198	121	640	83	35	76	95216	128321
227681	43	1015	116	36	112	92288	118936
260464	81	893	157	36	115	94588	127044
106288	54	293	28	23	69	197426	178377
109632	77	446	83	36	108	151244	69581
268905	58	538	72	36	130	139206	168019
266805	78	627	134	42	110	106271	113598
23623	11	156	12	1	0	1168	5841
152474	66	577	106	32	83	71764	93116
61857	25	192	23	11	30	25162	24610
144889	43	437	83	40	106	45635	60611
346600	99	1054	126	34	91	101817	226620
21054	16	146	4	0	0	855	6622
224051	45	751	71	27	69	100174	121996
31414	19	200	18	8	9	14116	13155
261043	105	1050	98	35	123	85008	154158
206108	58	601	66	44	150	124254	78489
154984	74	430	44	40	125	105793	22007
112933	45	467	29	28	81	117129	72530
38214	34	276	16	8	21	8773	13983
158671	33	528	56	35	124	94747	73397
302148	71	898	112	47	168	107549	143878
177918	55	411	46	46	149	97392	119956
350552	70	1362	129	42	147	126893	181558
275578	91	743	139	48	145	118850	208236
368746	106	1069	136	49	172	234853	237085
172464	31	431	66	35	126	74783	110297
94381	35	380	42	32	89	66089	61394
244295	281	790	70	36	137	95684	81420
382487	154	1367	97	42	149	139537	191154
114525	40	449	49	35	121	144253	11798
345884	120	1495	113	42	149	153824	135724
147989	72	651	55	34	93	63995	68614
216638	45	494	100	36	119	84891	139926
192862	72	667	80	36	102	61263	105203
184818	107	510	29	32	45	106221	80338
336707	105	1472	95	33	104	113587	121376
215836	76	675	114	35	111	113864	124922
173260	63	716	41	21	78	37238	10901
271773	89	814	128	40	120	119906	135471
130908	52	556	142	49	176	135096	66395
204009	75	887	88	33	109	151611	134041
245514	92	663	147	39	132	144645	153554
1	0	0	0	0	0	0	0
14688	10	85	4	0	0	6023	7953
98	1	0	0	0	0	0	0
455	2	0	0	0	0	0	0
0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0
195765	75	607	56	33	78	77457	98922
326038	121	934	121	42	104	62464	165395
0	0	0	0	0	0	0	0
203	4	0	0	0	0	0	0
7199	5	74	7	0	0	1644	4245
46660	20	259	12	5	13	6179	21509
17547	5	69	0	1	4	3926	7670
107465	38	267	37	38	65	42087	15167
969	2	0	0	0	0	0	0
173102	58	517	47	28	55	87656	63891

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'AstonUniversity' @ aston.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 & 3 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160488&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160488&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160488&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	3 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Correlations for all pairs of data series (method=pearson)
	Time_in_RFC	Logins	CompendiumViews	BloggedComputations	ReviewedCompendiums	LongFeedbackmessages	Characters	WritingTime
Time_in_RFC	1	0.708	0.885	0.803	0.74	0.733	0.693	0.859
Logins	0.708	1	0.666	0.54	0.578	0.547	0.513	0.585
CompendiumViews	0.885	0.666	1	0.717	0.623	0.614	0.577	0.686
BloggedComputations	0.803	0.54	0.717	1	0.736	0.749	0.698	0.785
ReviewedCompendiums	0.74	0.578	0.623	0.736	1	0.907	0.669	0.656
LongFeedbackmessages	0.733	0.547	0.614	0.749	0.907	1	0.698	0.656
Characters	0.693	0.513	0.577	0.698	0.669	0.698	1	0.773
WritingTime	0.859	0.585	0.686	0.785	0.656	0.656	0.773	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Time_in_RFC & Logins & CompendiumViews & BloggedComputations & ReviewedCompendiums & LongFeedbackmessages & Characters & WritingTime \tabularnewline
Time_in_RFC & 1 & 0.708 & 0.885 & 0.803 & 0.74 & 0.733 & 0.693 & 0.859 \tabularnewline
Logins & 0.708 & 1 & 0.666 & 0.54 & 0.578 & 0.547 & 0.513 & 0.585 \tabularnewline
CompendiumViews & 0.885 & 0.666 & 1 & 0.717 & 0.623 & 0.614 & 0.577 & 0.686 \tabularnewline
BloggedComputations & 0.803 & 0.54 & 0.717 & 1 & 0.736 & 0.749 & 0.698 & 0.785 \tabularnewline
ReviewedCompendiums & 0.74 & 0.578 & 0.623 & 0.736 & 1 & 0.907 & 0.669 & 0.656 \tabularnewline
LongFeedbackmessages & 0.733 & 0.547 & 0.614 & 0.749 & 0.907 & 1 & 0.698 & 0.656 \tabularnewline
Characters & 0.693 & 0.513 & 0.577 & 0.698 & 0.669 & 0.698 & 1 & 0.773 \tabularnewline
WritingTime & 0.859 & 0.585 & 0.686 & 0.785 & 0.656 & 0.656 & 0.773 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160488&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Time_in_RFC[/C][C]Logins[/C][C]CompendiumViews[/C][C]BloggedComputations[/C][C]ReviewedCompendiums[/C][C]LongFeedbackmessages[/C][C]Characters[/C][C]WritingTime[/C][/ROW]
[ROW][C]Time_in_RFC[/C][C]1[/C][C]0.708[/C][C]0.885[/C][C]0.803[/C][C]0.74[/C][C]0.733[/C][C]0.693[/C][C]0.859[/C][/ROW]
[ROW][C]Logins[/C][C]0.708[/C][C]1[/C][C]0.666[/C][C]0.54[/C][C]0.578[/C][C]0.547[/C][C]0.513[/C][C]0.585[/C][/ROW]
[ROW][C]CompendiumViews[/C][C]0.885[/C][C]0.666[/C][C]1[/C][C]0.717[/C][C]0.623[/C][C]0.614[/C][C]0.577[/C][C]0.686[/C][/ROW]
[ROW][C]BloggedComputations[/C][C]0.803[/C][C]0.54[/C][C]0.717[/C][C]1[/C][C]0.736[/C][C]0.749[/C][C]0.698[/C][C]0.785[/C][/ROW]
[ROW][C]ReviewedCompendiums[/C][C]0.74[/C][C]0.578[/C][C]0.623[/C][C]0.736[/C][C]1[/C][C]0.907[/C][C]0.669[/C][C]0.656[/C][/ROW]
[ROW][C]LongFeedbackmessages[/C][C]0.733[/C][C]0.547[/C][C]0.614[/C][C]0.749[/C][C]0.907[/C][C]1[/C][C]0.698[/C][C]0.656[/C][/ROW]
[ROW][C]Characters[/C][C]0.693[/C][C]0.513[/C][C]0.577[/C][C]0.698[/C][C]0.669[/C][C]0.698[/C][C]1[/C][C]0.773[/C][/ROW]
[ROW][C]WritingTime[/C][C]0.859[/C][C]0.585[/C][C]0.686[/C][C]0.785[/C][C]0.656[/C][C]0.656[/C][C]0.773[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160488&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160488&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)
	Time_in_RFC	Logins	CompendiumViews	BloggedComputations	ReviewedCompendiums	LongFeedbackmessages	Characters	WritingTime
Time_in_RFC	1	0.708	0.885	0.803	0.74	0.733	0.693	0.859
Logins	0.708	1	0.666	0.54	0.578	0.547	0.513	0.585
CompendiumViews	0.885	0.666	1	0.717	0.623	0.614	0.577	0.686
BloggedComputations	0.803	0.54	0.717	1	0.736	0.749	0.698	0.785
ReviewedCompendiums	0.74	0.578	0.623	0.736	1	0.907	0.669	0.656
LongFeedbackmessages	0.733	0.547	0.614	0.749	0.907	1	0.698	0.656
Characters	0.693	0.513	0.577	0.698	0.669	0.698	1	0.773
WritingTime	0.859	0.585	0.686	0.785	0.656	0.656	0.773	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Time_in_RFC;Logins	0.7079	0.7757	0.5997
p-value	(0)	(0)	(0)
Time_in_RFC;CompendiumViews	0.8853	0.8582	0.6961
p-value	(0)	(0)	(0)
Time_in_RFC;BloggedComputations	0.8026	0.7747	0.6081
p-value	(0)	(0)	(0)
Time_in_RFC;ReviewedCompendiums	0.7402	0.6395	0.4869
p-value	(0)	(0)	(0)
Time_in_RFC;LongFeedbackmessages	0.7326	0.6644	0.4952
p-value	(0)	(0)	(0)
Time_in_RFC;Characters	0.6932	0.6514	0.4962
p-value	(0)	(0)	(0)
Time_in_RFC;WritingTime	0.8591	0.8625	0.7011
p-value	(0)	(0)	(0)
Logins;CompendiumViews	0.6661	0.7771	0.608
p-value	(0)	(0)	(0)
Logins;BloggedComputations	0.5401	0.6407	0.4733
p-value	(0)	(0)	(0)
Logins;ReviewedCompendiums	0.5785	0.5837	0.4348
p-value	(0)	(0)	(0)
Logins;LongFeedbackmessages	0.5471	0.5421	0.4005
p-value	(0)	(0)	(0)
Logins;Characters	0.5129	0.5745	0.417
p-value	(0)	(0)	(0)
Logins;WritingTime	0.5847	0.6696	0.5036
p-value	(0)	(0)	(0)
CompendiumViews;BloggedComputations	0.7174	0.7232	0.5513
p-value	(0)	(0)	(0)
CompendiumViews;ReviewedCompendiums	0.6234	0.5766	0.4257
p-value	(0)	(0)	(0)
CompendiumViews;LongFeedbackmessages	0.6141	0.5793	0.4206
p-value	(0)	(0)	(0)
CompendiumViews;Characters	0.5774	0.5443	0.3967
p-value	(0)	(0)	(0)
CompendiumViews;WritingTime	0.6857	0.6855	0.5172
p-value	(0)	(0)	(0)
BloggedComputations;ReviewedCompendiums	0.7357	0.641	0.4901
p-value	(0)	(0)	(0)
BloggedComputations;LongFeedbackmessages	0.7486	0.676	0.5082
p-value	(0)	(0)	(0)
BloggedComputations;Characters	0.698	0.6734	0.5115
p-value	(0)	(0)	(0)
BloggedComputations;WritingTime	0.7851	0.7511	0.5824
p-value	(0)	(0)	(0)
ReviewedCompendiums;LongFeedbackmessages	0.9073	0.819	0.6834
p-value	(0)	(0)	(0)
ReviewedCompendiums;Characters	0.6688	0.5154	0.3841
p-value	(0)	(0)	(0)
ReviewedCompendiums;WritingTime	0.6559	0.5408	0.4046
p-value	(0)	(0)	(0)
LongFeedbackmessages;Characters	0.6984	0.6328	0.4686
p-value	(0)	(0)	(0)
LongFeedbackmessages;WritingTime	0.6565	0.5865	0.4327
p-value	(0)	(0)	(0)
Characters;WritingTime	0.7727	0.7219	0.558
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
Time_in_RFC;Logins & 0.7079 & 0.7757 & 0.5997 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;CompendiumViews & 0.8853 & 0.8582 & 0.6961 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;BloggedComputations & 0.8026 & 0.7747 & 0.6081 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;ReviewedCompendiums & 0.7402 & 0.6395 & 0.4869 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;LongFeedbackmessages & 0.7326 & 0.6644 & 0.4952 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;Characters & 0.6932 & 0.6514 & 0.4962 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time_in_RFC;WritingTime & 0.8591 & 0.8625 & 0.7011 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;CompendiumViews & 0.6661 & 0.7771 & 0.608 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;BloggedComputations & 0.5401 & 0.6407 & 0.4733 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;ReviewedCompendiums & 0.5785 & 0.5837 & 0.4348 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;LongFeedbackmessages & 0.5471 & 0.5421 & 0.4005 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Characters & 0.5129 & 0.5745 & 0.417 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;WritingTime & 0.5847 & 0.6696 & 0.5036 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;BloggedComputations & 0.7174 & 0.7232 & 0.5513 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;ReviewedCompendiums & 0.6234 & 0.5766 & 0.4257 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;LongFeedbackmessages & 0.6141 & 0.5793 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;Characters & 0.5774 & 0.5443 & 0.3967 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;WritingTime & 0.6857 & 0.6855 & 0.5172 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloggedComputations;ReviewedCompendiums & 0.7357 & 0.641 & 0.4901 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloggedComputations;LongFeedbackmessages & 0.7486 & 0.676 & 0.5082 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloggedComputations;Characters & 0.698 & 0.6734 & 0.5115 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloggedComputations;WritingTime & 0.7851 & 0.7511 & 0.5824 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ReviewedCompendiums;LongFeedbackmessages & 0.9073 & 0.819 & 0.6834 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ReviewedCompendiums;Characters & 0.6688 & 0.5154 & 0.3841 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ReviewedCompendiums;WritingTime & 0.6559 & 0.5408 & 0.4046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LongFeedbackmessages;Characters & 0.6984 & 0.6328 & 0.4686 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LongFeedbackmessages;WritingTime & 0.6565 & 0.5865 & 0.4327 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Characters;WritingTime & 0.7727 & 0.7219 & 0.558 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160488&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]Time_in_RFC;Logins[/C][C]0.7079[/C][C]0.7757[/C][C]0.5997[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;CompendiumViews[/C][C]0.8853[/C][C]0.8582[/C][C]0.6961[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;BloggedComputations[/C][C]0.8026[/C][C]0.7747[/C][C]0.6081[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;ReviewedCompendiums[/C][C]0.7402[/C][C]0.6395[/C][C]0.4869[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;LongFeedbackmessages[/C][C]0.7326[/C][C]0.6644[/C][C]0.4952[/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]0.6932[/C][C]0.6514[/C][C]0.4962[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time_in_RFC;WritingTime[/C][C]0.8591[/C][C]0.8625[/C][C]0.7011[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;CompendiumViews[/C][C]0.6661[/C][C]0.7771[/C][C]0.608[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;BloggedComputations[/C][C]0.5401[/C][C]0.6407[/C][C]0.4733[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;ReviewedCompendiums[/C][C]0.5785[/C][C]0.5837[/C][C]0.4348[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;LongFeedbackmessages[/C][C]0.5471[/C][C]0.5421[/C][C]0.4005[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Characters[/C][C]0.5129[/C][C]0.5745[/C][C]0.417[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;WritingTime[/C][C]0.5847[/C][C]0.6696[/C][C]0.5036[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;BloggedComputations[/C][C]0.7174[/C][C]0.7232[/C][C]0.5513[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;ReviewedCompendiums[/C][C]0.6234[/C][C]0.5766[/C][C]0.4257[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;LongFeedbackmessages[/C][C]0.6141[/C][C]0.5793[/C][C]0.4206[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;Characters[/C][C]0.5774[/C][C]0.5443[/C][C]0.3967[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;WritingTime[/C][C]0.6857[/C][C]0.6855[/C][C]0.5172[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloggedComputations;ReviewedCompendiums[/C][C]0.7357[/C][C]0.641[/C][C]0.4901[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloggedComputations;LongFeedbackmessages[/C][C]0.7486[/C][C]0.676[/C][C]0.5082[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloggedComputations;Characters[/C][C]0.698[/C][C]0.6734[/C][C]0.5115[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloggedComputations;WritingTime[/C][C]0.7851[/C][C]0.7511[/C][C]0.5824[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ReviewedCompendiums;LongFeedbackmessages[/C][C]0.9073[/C][C]0.819[/C][C]0.6834[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ReviewedCompendiums;Characters[/C][C]0.6688[/C][C]0.5154[/C][C]0.3841[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ReviewedCompendiums;WritingTime[/C][C]0.6559[/C][C]0.5408[/C][C]0.4046[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LongFeedbackmessages;Characters[/C][C]0.6984[/C][C]0.6328[/C][C]0.4686[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LongFeedbackmessages;WritingTime[/C][C]0.6565[/C][C]0.5865[/C][C]0.4327[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Characters;WritingTime[/C][C]0.7727[/C][C]0.7219[/C][C]0.558[/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=160488&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160488&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
Time_in_RFC;Logins	0.7079	0.7757	0.5997
p-value	(0)	(0)	(0)
Time_in_RFC;CompendiumViews	0.8853	0.8582	0.6961
p-value	(0)	(0)	(0)
Time_in_RFC;BloggedComputations	0.8026	0.7747	0.6081
p-value	(0)	(0)	(0)
Time_in_RFC;ReviewedCompendiums	0.7402	0.6395	0.4869
p-value	(0)	(0)	(0)
Time_in_RFC;LongFeedbackmessages	0.7326	0.6644	0.4952
p-value	(0)	(0)	(0)
Time_in_RFC;Characters	0.6932	0.6514	0.4962
p-value	(0)	(0)	(0)
Time_in_RFC;WritingTime	0.8591	0.8625	0.7011
p-value	(0)	(0)	(0)
Logins;CompendiumViews	0.6661	0.7771	0.608
p-value	(0)	(0)	(0)
Logins;BloggedComputations	0.5401	0.6407	0.4733
p-value	(0)	(0)	(0)
Logins;ReviewedCompendiums	0.5785	0.5837	0.4348
p-value	(0)	(0)	(0)
Logins;LongFeedbackmessages	0.5471	0.5421	0.4005
p-value	(0)	(0)	(0)
Logins;Characters	0.5129	0.5745	0.417
p-value	(0)	(0)	(0)
Logins;WritingTime	0.5847	0.6696	0.5036
p-value	(0)	(0)	(0)
CompendiumViews;BloggedComputations	0.7174	0.7232	0.5513
p-value	(0)	(0)	(0)
CompendiumViews;ReviewedCompendiums	0.6234	0.5766	0.4257
p-value	(0)	(0)	(0)
CompendiumViews;LongFeedbackmessages	0.6141	0.5793	0.4206
p-value	(0)	(0)	(0)
CompendiumViews;Characters	0.5774	0.5443	0.3967
p-value	(0)	(0)	(0)
CompendiumViews;WritingTime	0.6857	0.6855	0.5172
p-value	(0)	(0)	(0)
BloggedComputations;ReviewedCompendiums	0.7357	0.641	0.4901
p-value	(0)	(0)	(0)
BloggedComputations;LongFeedbackmessages	0.7486	0.676	0.5082
p-value	(0)	(0)	(0)
BloggedComputations;Characters	0.698	0.6734	0.5115
p-value	(0)	(0)	(0)
BloggedComputations;WritingTime	0.7851	0.7511	0.5824
p-value	(0)	(0)	(0)
ReviewedCompendiums;LongFeedbackmessages	0.9073	0.819	0.6834
p-value	(0)	(0)	(0)
ReviewedCompendiums;Characters	0.6688	0.5154	0.3841
p-value	(0)	(0)	(0)
ReviewedCompendiums;WritingTime	0.6559	0.5408	0.4046
p-value	(0)	(0)	(0)
LongFeedbackmessages;Characters	0.6984	0.6328	0.4686
p-value	(0)	(0)	(0)
LongFeedbackmessages;WritingTime	0.6565	0.5865	0.4327
p-value	(0)	(0)	(0)
Characters;WritingTime	0.7727	0.7219	0.558
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

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