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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 11:57:44 -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/t13244866792zmtzdtho14nya5.htm/, Retrieved Tue, 07 May 2024 22:17:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158891, Retrieved Tue, 07 May 2024 22:17:39 +0000

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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 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [WS XX-pearson cor...] [2011-12-09 12:42:23] [7c680a04865e75aa8ab422cdbfd97ac3]
-    D    [Kendall tau Correlation Matrix] [WS X-pearson corr...] [2011-12-13 16:56:33] [74be16979710d4c4e7c6647856088456]
-    D        [Kendall tau Correlation Matrix] [] [2011-12-21 16:57:44] [fe5ec8748c528a1557751a5a0f6a19ab] [Current]

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Dataseries X:

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Histogram

Boxplots

278691	71	494	96	42	159	140824
197623	70	477	75	38	149	110459
233139	78	701	70	46	178	105079
221690	106	1150	134	42	164	112098
177540	53	395	69	30	100	43929
70849	28	179	8	35	129	76173
566234	130	2446	169	40	156	187326
33186	19	111	1	18	67	22807
226511	62	756	87	38	148	144408
245577	46	638	92	37	132	66485
317443	114	831	96	46	169	79089
248379	124	706	119	60	230	81625
200620	79	749	57	37	122	68788
367785	82	1184	139	55	191	103297
266325	87	717	87	44	162	69446
394271	183	1744	176	63	237	114948
335567	76	845	114	40	156	167949
407650	168	1360	119	43	157	125081
182016	57	514	103	32	123	125818
267365	88	692	135	52	203	136588
279428	72	847	123	49	187	112431
484574	105	1369	89	41	152	103037
196721	43	494	74	25	89	82317
197899	56	628	103	57	227	118906
256290	131	1364	158	45	165	83515
255126	132	1067	113	42	162	104581
281816	131	1112	100	45	174	103129
278027	89	636	117	43	154	83243
173134	55	610	59	36	129	37110
383613	77	1205	142	45	174	113344
302413	84	1021	136	50	195	139165
251255	81	724	50	50	186	86652
355456	96	868	141	51	197	112302
109546	45	374	46	42	157	69652
427915	103	1290	141	44	168	119442
273950	56	1186	83	42	159	69867
427825	124	1344	112	44	161	101629
247287	88	673	79	40	153	70168
115658	33	284	33	17	55	31081
386534	205	1299	149	43	166	103925
340132	83	1546	126	41	151	92622
194127	71	715	80	41	148	79011
213258	79	676	84	40	129	93487
182398	65	487	68	49	181	64520
157164	84	1051	50	52	93	93473
457592	153	2084	101	42	150	114360
78800	42	330	20	26	82	33032
213831	81	683	101	59	229	96125
368086	122	1410	150	50	193	151911
203104	62	1004	115	50	176	89256
244371	77	688	98	47	179	95676
24188	24	218	8	4	12	5950
399093	331	862	88	51	181	149695
65029	17	255	21	18	67	32551
101097	64	454	30	14	52	31701
297973	61	1185	97	41	148	100087
352671	88	728	149	61	230	169707
367083	203	1207	132	40	148	150491
371178	148	1089	161	44	160	120192
269973	88	884	89	40	155	95893
389761	149	1332	160	51	198	151715
315924	121	1190	139	29	104	176225
285807	121	1233	104	43	169	59900
282351	90	987	99	42	163	104767
250558	73	619	56	41	151	114799
265696	71	528	163	30	116	72128
215915	138	651	93	39	153	143592
247349	154	862	85	51	195	89626
260919	86	913	150	40	149	131072
182308	71	635	143	29	106	126817
256761	72	898	107	47	179	81351
73566	32	385	22	23	88	22618
263796	89	767	85	48	185	88977
207899	56	818	85	38	133	92059
228779	67	779	131	42	164	81897
363571	89	997	140	46	169	108146
382785	98	1233	152	40	153	126372
220401	109	586	81	45	166	249771
225097	67	751	136	42	164	71154
215445	68	734	102	41	146	71571
188786	49	711	69	37	141	55918
481148	130	1268	161	47	183	160141
145943	70	653	30	26	99	38692
292287	108	700	120	48	134	102812
80953	25	437	49	8	28	56622
164260	57	863	62	27	101	15986
179344	61	459	76	38	139	123534
413462	220	1580	85	41	159	108535
358697	125	1024	146	61	222	93879
180679	106	1051	165	45	171	144551
298696	102	843	89	41	154	56750
288706	82	725	167	42	154	127654
197956	66	621	48	35	129	65594
282361	77	1128	149	36	140	59938
329202	88	969	75	40	156	146975
221875	44	669	100	40	156	165904
277071	63	674	114	38	138	169265
305984	87	820	165	43	153	183500
416032	161	1366	155	65	251	165986
412530	116	1493	165	33	126	184923
297080	141	893	121	51	198	140358
318235	68	900	156	45	168	149959
200486	194	704	79	36	138	57224
43287	14	214	13	19	71	43750
189520	84	733	89	25	90	48029
255152	153	855	110	44	167	104978
288617	56	1251	129	45	172	100046
314167	93	1069	169	44	162	101047
170268	86	426	28	35	129	197426
164399	99	954	118	46	179	160902
350667	76	674	82	44	163	147172
303273	90	696	148	45	164	109432
23623	11	156	12	1	NA	1168
195849	74	779	146	40	155	83248
61857	25	192	23	11	32	25162
184709	52	546	83	51	189	45724
428191	121	1213	163	38	140	110529
21054	16	146	4	NA	NA	855
252805	52	866	81	30	111	101382
31961	22	200	18	8	25	14116
351541	122	1336	118	43	159	89506
246359	71	726	76	48	183	135356
187003	95	522	55	49	184	116066
172442	56	714	57	32	119	144244
38214	34	276	16	8	27	8773
241539	48	789	88	43	163	102153
358276	83	1031	137	52	198	117440
209821	64	502	50	53	205	104128
441447	86	1678	147	49	191	134238
348017	99	884	163	48	187	134047
439634	131	1200	142	56	210	279488
208962	40	547	77	45	166	79756
105332	44	422	42	40	145	66089
311111	355	995	94	48	187	102070
460033	192	1554	126	50	186	146760
159057	58	563	63	43	164	154771
411980	136	1811	127	46	172	165933
173486	80	749	59	40	147	64593
284582	51	648	117	45	167	92280
283913	100	905	110	46	158	67150
234203	120	659	44	37	144	128692
386740	123	1611	95	45	169	124089
246963	92	811	128	39	145	125386
173260	63	716	41	21	79	37238
346730	107	1034	146	50	194	140015
176654	58	732	147	55	212	150047
259048	90	1033	119	40	148	154451
312540	111	850	185	48	171	156349
1	         NA	NA	NA	NA	NA	NA
14688	10	85	4	NA	NA	6023
98	        1	NA	NA	NA	NA	NA
455	        2	NA	NA	NA	NA	NA
NA	        NA	NA	NA	NA	NA	NA
NA	        NA	NA	NA	NA	NA	NA
283222	91	806	85	46	141	84601
409280	163	1128	157	52	204	68946
NA	        NA	NA	NA	NA	NA	NA
203	        4	NA	NA	NA	NA	NA
7199   	5	74	7	NA	NA	1644
46660	20	259	12	5	15	6179
17547	5	69	NA	1	4	3926
121550	46	309	37	48	172	52789
969	        2	NA	NA	NA	NA	NA
242228	73	687	62	34	125	100350

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158891&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158891&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158891&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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Correlations for all pairs of data series (method=pearson)
	Time	Logins	BezieneCompendia	Blogs	GedanePR	FeedbackPr	Karakters
Time	1	0.691	0.864	0.774	0.637	0.632	0.646
Logins	0.691	1	0.613	0.478	0.485	0.474	0.448
BezieneCompendia	0.864	0.613	1	0.689	0.501	0.486	0.517
Blogs	0.774	0.478	0.689	1	0.609	0.616	0.613
GedanePR	0.637	0.485	0.501	0.609	1	0.971	0.568
FeedbackPr	0.632	0.474	0.486	0.616	0.971	1	0.563
Karakters	0.646	0.448	0.517	0.613	0.568	0.563	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Time & Logins & BezieneCompendia & Blogs & GedanePR & FeedbackPr & Karakters \tabularnewline
Time & 1 & 0.691 & 0.864 & 0.774 & 0.637 & 0.632 & 0.646 \tabularnewline
Logins & 0.691 & 1 & 0.613 & 0.478 & 0.485 & 0.474 & 0.448 \tabularnewline
BezieneCompendia & 0.864 & 0.613 & 1 & 0.689 & 0.501 & 0.486 & 0.517 \tabularnewline
Blogs & 0.774 & 0.478 & 0.689 & 1 & 0.609 & 0.616 & 0.613 \tabularnewline
GedanePR & 0.637 & 0.485 & 0.501 & 0.609 & 1 & 0.971 & 0.568 \tabularnewline
FeedbackPr & 0.632 & 0.474 & 0.486 & 0.616 & 0.971 & 1 & 0.563 \tabularnewline
Karakters & 0.646 & 0.448 & 0.517 & 0.613 & 0.568 & 0.563 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158891&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Time[/C][C]Logins[/C][C]BezieneCompendia[/C][C]Blogs[/C][C]GedanePR[/C][C]FeedbackPr[/C][C]Karakters[/C][/ROW]
[ROW][C]Time[/C][C]1[/C][C]0.691[/C][C]0.864[/C][C]0.774[/C][C]0.637[/C][C]0.632[/C][C]0.646[/C][/ROW]
[ROW][C]Logins[/C][C]0.691[/C][C]1[/C][C]0.613[/C][C]0.478[/C][C]0.485[/C][C]0.474[/C][C]0.448[/C][/ROW]
[ROW][C]BezieneCompendia[/C][C]0.864[/C][C]0.613[/C][C]1[/C][C]0.689[/C][C]0.501[/C][C]0.486[/C][C]0.517[/C][/ROW]
[ROW][C]Blogs[/C][C]0.774[/C][C]0.478[/C][C]0.689[/C][C]1[/C][C]0.609[/C][C]0.616[/C][C]0.613[/C][/ROW]
[ROW][C]GedanePR[/C][C]0.637[/C][C]0.485[/C][C]0.501[/C][C]0.609[/C][C]1[/C][C]0.971[/C][C]0.568[/C][/ROW]
[ROW][C]FeedbackPr[/C][C]0.632[/C][C]0.474[/C][C]0.486[/C][C]0.616[/C][C]0.971[/C][C]1[/C][C]0.563[/C][/ROW]
[ROW][C]Karakters[/C][C]0.646[/C][C]0.448[/C][C]0.517[/C][C]0.613[/C][C]0.568[/C][C]0.563[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158891&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158891&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	Logins	BezieneCompendia	Blogs	GedanePR	FeedbackPr	Karakters
Time	1	0.691	0.864	0.774	0.637	0.632	0.646
Logins	0.691	1	0.613	0.478	0.485	0.474	0.448
BezieneCompendia	0.864	0.613	1	0.689	0.501	0.486	0.517
Blogs	0.774	0.478	0.689	1	0.609	0.616	0.613
GedanePR	0.637	0.485	0.501	0.609	1	0.971	0.568
FeedbackPr	0.632	0.474	0.486	0.616	0.971	1	0.563
Karakters	0.646	0.448	0.517	0.613	0.568	0.563	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Time;Logins	0.6913	0.7707	0.594
p-value	(0)	(0)	(0)
Time;BezieneCompendia	0.864	0.8287	0.6592
p-value	(0)	(0)	(0)
Time;Blogs	0.774	0.7473	0.5797
p-value	(0)	(0)	(0)
Time;GedanePR	0.6369	0.5206	0.3895
p-value	(0)	(0)	(0)
Time;FeedbackPr	0.6318	0.53	0.3872
p-value	(0)	(0)	(0)
Time;Karakters	0.6464	0.5925	0.44
p-value	(0)	(0)	(0)
Logins;BezieneCompendia	0.6132	0.7383	0.5642
p-value	(0)	(0)	(0)
Logins;Blogs	0.478	0.6085	0.4347
p-value	(0)	(0)	(0)
Logins;GedanePR	0.4849	0.5005	0.3608
p-value	(0)	(0)	(0)
Logins;FeedbackPr	0.4736	0.4896	0.3518
p-value	(0)	(0)	(0)
Logins;Karakters	0.4476	0.5373	0.3845
p-value	(0)	(0)	(0)
BezieneCompendia;Blogs	0.6892	0.7145	0.5361
p-value	(0)	(0)	(0)
BezieneCompendia;GedanePR	0.5006	0.446	0.3194
p-value	(0)	(0)	(0)
BezieneCompendia;FeedbackPr	0.4859	0.4499	0.3176
p-value	(0)	(0)	(0)
BezieneCompendia;Karakters	0.5167	0.4927	0.3565
p-value	(0)	(0)	(0)
Blogs;GedanePR	0.6092	0.4896	0.3607
p-value	(0)	(0)	(0)
Blogs;FeedbackPr	0.6163	0.5159	0.3735
p-value	(0)	(0)	(0)
Blogs;Karakters	0.6133	0.5948	0.4417
p-value	(0)	(0)	(0)
GedanePR;FeedbackPr	0.9708	0.9374	0.8678
p-value	(0)	(0)	(0)
GedanePR;Karakters	0.5676	0.4132	0.2992
p-value	(0)	(0)	(0)
FeedbackPr;Karakters	0.5628	0.4453	0.3184
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;Logins & 0.6913 & 0.7707 & 0.594 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;BezieneCompendia & 0.864 & 0.8287 & 0.6592 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Blogs & 0.774 & 0.7473 & 0.5797 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;GedanePR & 0.6369 & 0.5206 & 0.3895 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;FeedbackPr & 0.6318 & 0.53 & 0.3872 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Karakters & 0.6464 & 0.5925 & 0.44 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;BezieneCompendia & 0.6132 & 0.7383 & 0.5642 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Blogs & 0.478 & 0.6085 & 0.4347 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;GedanePR & 0.4849 & 0.5005 & 0.3608 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;FeedbackPr & 0.4736 & 0.4896 & 0.3518 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Karakters & 0.4476 & 0.5373 & 0.3845 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BezieneCompendia;Blogs & 0.6892 & 0.7145 & 0.5361 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BezieneCompendia;GedanePR & 0.5006 & 0.446 & 0.3194 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BezieneCompendia;FeedbackPr & 0.4859 & 0.4499 & 0.3176 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BezieneCompendia;Karakters & 0.5167 & 0.4927 & 0.3565 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;GedanePR & 0.6092 & 0.4896 & 0.3607 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;FeedbackPr & 0.6163 & 0.5159 & 0.3735 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;Karakters & 0.6133 & 0.5948 & 0.4417 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GedanePR;FeedbackPr & 0.9708 & 0.9374 & 0.8678 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GedanePR;Karakters & 0.5676 & 0.4132 & 0.2992 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FeedbackPr;Karakters & 0.5628 & 0.4453 & 0.3184 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158891&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;Logins[/C][C]0.6913[/C][C]0.7707[/C][C]0.594[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;BezieneCompendia[/C][C]0.864[/C][C]0.8287[/C][C]0.6592[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Blogs[/C][C]0.774[/C][C]0.7473[/C][C]0.5797[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;GedanePR[/C][C]0.6369[/C][C]0.5206[/C][C]0.3895[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;FeedbackPr[/C][C]0.6318[/C][C]0.53[/C][C]0.3872[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Karakters[/C][C]0.6464[/C][C]0.5925[/C][C]0.44[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;BezieneCompendia[/C][C]0.6132[/C][C]0.7383[/C][C]0.5642[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Blogs[/C][C]0.478[/C][C]0.6085[/C][C]0.4347[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;GedanePR[/C][C]0.4849[/C][C]0.5005[/C][C]0.3608[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;FeedbackPr[/C][C]0.4736[/C][C]0.4896[/C][C]0.3518[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Karakters[/C][C]0.4476[/C][C]0.5373[/C][C]0.3845[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BezieneCompendia;Blogs[/C][C]0.6892[/C][C]0.7145[/C][C]0.5361[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BezieneCompendia;GedanePR[/C][C]0.5006[/C][C]0.446[/C][C]0.3194[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BezieneCompendia;FeedbackPr[/C][C]0.4859[/C][C]0.4499[/C][C]0.3176[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BezieneCompendia;Karakters[/C][C]0.5167[/C][C]0.4927[/C][C]0.3565[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;GedanePR[/C][C]0.6092[/C][C]0.4896[/C][C]0.3607[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;FeedbackPr[/C][C]0.6163[/C][C]0.5159[/C][C]0.3735[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;Karakters[/C][C]0.6133[/C][C]0.5948[/C][C]0.4417[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GedanePR;FeedbackPr[/C][C]0.9708[/C][C]0.9374[/C][C]0.8678[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GedanePR;Karakters[/C][C]0.5676[/C][C]0.4132[/C][C]0.2992[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FeedbackPr;Karakters[/C][C]0.5628[/C][C]0.4453[/C][C]0.3184[/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=158891&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158891&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;Logins	0.6913	0.7707	0.594
p-value	(0)	(0)	(0)
Time;BezieneCompendia	0.864	0.8287	0.6592
p-value	(0)	(0)	(0)
Time;Blogs	0.774	0.7473	0.5797
p-value	(0)	(0)	(0)
Time;GedanePR	0.6369	0.5206	0.3895
p-value	(0)	(0)	(0)
Time;FeedbackPr	0.6318	0.53	0.3872
p-value	(0)	(0)	(0)
Time;Karakters	0.6464	0.5925	0.44
p-value	(0)	(0)	(0)
Logins;BezieneCompendia	0.6132	0.7383	0.5642
p-value	(0)	(0)	(0)
Logins;Blogs	0.478	0.6085	0.4347
p-value	(0)	(0)	(0)
Logins;GedanePR	0.4849	0.5005	0.3608
p-value	(0)	(0)	(0)
Logins;FeedbackPr	0.4736	0.4896	0.3518
p-value	(0)	(0)	(0)
Logins;Karakters	0.4476	0.5373	0.3845
p-value	(0)	(0)	(0)
BezieneCompendia;Blogs	0.6892	0.7145	0.5361
p-value	(0)	(0)	(0)
BezieneCompendia;GedanePR	0.5006	0.446	0.3194
p-value	(0)	(0)	(0)
BezieneCompendia;FeedbackPr	0.4859	0.4499	0.3176
p-value	(0)	(0)	(0)
BezieneCompendia;Karakters	0.5167	0.4927	0.3565
p-value	(0)	(0)	(0)
Blogs;GedanePR	0.6092	0.4896	0.3607
p-value	(0)	(0)	(0)
Blogs;FeedbackPr	0.6163	0.5159	0.3735
p-value	(0)	(0)	(0)
Blogs;Karakters	0.6133	0.5948	0.4417
p-value	(0)	(0)	(0)
GedanePR;FeedbackPr	0.9708	0.9374	0.8678
p-value	(0)	(0)	(0)
GedanePR;Karakters	0.5676	0.4132	0.2992
p-value	(0)	(0)	(0)
FeedbackPr;Karakters	0.5628	0.4453	0.3184
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