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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 09:01:40 -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/t13244761283qcolx6e45g26k7.htm/, Retrieved Tue, 07 May 2024 22:32:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158706, Retrieved Tue, 07 May 2024 22:32:10 +0000

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

-     [Multiple Regression] [Paper Deel 3: Mee...] [2011-12-21 12:42:50] [d0cddc92c01af61bef0226b9e5ade9b3]
- RMP     [Kendall tau Correlation Matrix] [] [2011-12-21 14:01:40] [2934cd91706ad80fc42b61dc996a3109] [Current]

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140824	1794	71	159	165	278691	186099
110459	1351	70	149	135	197623	113854
105079	2024	78	178	121	233139	99776
112098	2724	106	164	148	221690	106194
43929	1306	53	100	73	177540	100792
76173	631	28	129	49	70849	47552
187326	5171	130	156	185	566234	250931
22807	381	19	67	5	33186	6853
144408	2135	61	148	125	226511	115466
66485	1919	45	132	93	245577	110896
79089	2183	113	169	154	313453	169351
81625	2262	123	230	98	248379	94853
68788	1999	78	122	70	200620	72591
103297	3005	81	191	148	367785	101345
69446	2246	87	162	100	266325	113713
114948	5053	183	237	150	394271	165354
167949	2362	76	156	197	335567	164263
125081	3490	168	157	114	407650	135213
125818	1476	57	123	169	182016	111669
136588	2397	88	203	200	267365	134163
112431	2545	72	187	148	279428	140303
103037	3071	105	152	140	484574	150773
82317	1534	43	89	74	196721	111848
118906	1774	56	227	128	197899	102509
83515	3756	130	165	140	255978	96785
104581	3019	132	162	116	255126	116136
103129	2985	131	174	147	281816	158376
83243	2010	89	154	132	278027	153990
37110	1636	55	129	70	173134	64057
113344	3126	76	174	144	382760	230054
139165	2522	83	195	155	302413	184531
86652	2099	81	186	165	251255	114198
112302	2429	96	197	161	355456	198299
69652	1117	45	157	31	109546	33750
119442	3550	102	168	199	427915	189723
69867	2764	56	159	78	273950	100826
101629	3743	124	161	121	427825	188355
70168	2021	87	153	112	247287	104470
31081	947	33	55	41	115658	58391
103925	3681	205	166	158	386534	164808
92622	3380	83	151	123	340132	134097
79011	1842	71	148	104	194127	80238
93487	1909	79	129	94	213258	133252
64520	1819	65	181	73	182398	54518
93473	2598	84	93	52	157164	121850
114360	5557	153	150	71	457592	79367
33032	918	42	82	21	78800	56968
96125	2386	81	229	155	213831	106314
151911	4144	122	193	174	368086	191889
89256	2430	62	176	136	203104	104864
95676	2158	77	179	128	244371	160792
5950	496	24	12	7	24188	15049
149695	2688	331	181	165	399093	191179
32551	744	17	67	21	65029	25109
31701	1161	64	52	35	101097	45824
100087	3214	61	148	137	297973	129711
169707	2793	88	230	174	352671	210012
150491	3962	203	148	257	367083	194679
120192	2758	148	160	207	371178	197680
95893	2316	88	155	103	269973	81180
151715	4066	149	198	171	389761	197765
176225	3293	121	104	279	315924	214738
59900	3094	121	169	83	285807	96252
104767	2755	90	163	130	282351	124527
114799	1606	73	151	131	250558	153242
72128	1989	70	116	126	254710	145707
143592	2137	138	153	158	215915	113963
89626	2889	154	195	138	247349	134904
131072	2536	86	149	200	260919	114268
126817	1729	71	106	104	182308	94333
81351	2673	72	179	111	256761	102204
22618	893	32	88	26	73566	23824
88977	2338	88	185	115	263796	111563
92059	1958	56	133	127	207899	91313
81897	2217	67	164	140	228779	89770
108146	2355	89	169	121	363571	100125
126372	3099	98	153	183	382785	165278
249771	1974	109	166	68	220401	181712
71154	2472	67	164	112	225097	80906
71571	2117	68	146	103	215445	75881
55918	1968	49	141	63	188786	83963
160141	4218	130	183	166	481148	175721
38692	1370	70	99	38	145943	68580
102812	2440	107	134	163	292287	136323
56622	870	25	28	59	80953	55792
15986	2081	57	101	27	164260	25157
123534	1573	61	139	108	179344	100922
108535	4034	220	159	88	413462	118845
93879	3042	125	222	92	358697	170492
144551	3098	106	171	170	180679	81716
56750	2604	102	154	98	298696	115750
127654	2386	82	154	205	288706	105590
65594	1896	66	129	96	197956	92795
59938	3146	77	140	107	282361	82390
146975	2589	87	156	150	329202	135599
165904	1960	43	156	138	220636	127667
169265	2017	63	138	177	277071	163073
183500	2261	87	153	213	305984	211381
165986	4184	161	251	208	416032	189944
184923	4021	116	126	307	412530	226168
140358	2841	141	198	125	297080	117495
149959	2488	68	168	208	318235	195894
57224	2172	194	138	73	200486	80684
43750	602	14	71	49	43287	19630
48029	2196	84	90	82	189520	88634
104978	2474	153	167	206	255152	139292
100046	2834	56	172	112	288617	128602
101047	2761	93	162	139	314167	135848
197426	1339	85	129	60	170268	178377
160902	3258	99	179	70	164399	106330
147172	2088	76	163	112	350667	178303
109432	2331	90	164	142	303273	116938
1168	398	11	0	11	23623	5841
83248	2213	74	155	130	195849	106020
25162	530	25	32	31	61857	24610
45724	1825	52	189	132	184709	74151
110529	3154	121	140	219	428191	232241
855	387	16	0	4	21054	6622
101382	2137	52	111	102	252805	127097
14116	492	22	25	39	31961	13155
89506	3792	122	159	125	351541	160501
135356	2161	71	183	121	246359	91502
116066	1789	95	184	42	187003	24469
144244	1857	55	119	111	172442	88229
8773	568	34	27	16	38214	13983
102153	2353	48	163	70	241539	80716
117440	2818	83	198	162	358276	157384
104128	1445	64	205	173	209821	122975
134238	3846	86	191	171	441447	191469
134047	2554	99	187	172	348017	231257
279488	3501	131	210	254	439634	258287
79756	1457	40	166	90	208962	122531
66089	1213	44	145	50	105332	61394
102070	3039	355	187	113	311111	86480
146760	4475	190	186	187	459327	195791
154771	1821	58	164	16	159057	18284
165933	4359	136	172	175	411980	147581
64593	2008	80	147	90	173486	72558
92280	1980	51	167	140	284582	147341
67150	2563	99	158	145	283913	114651
128692	1991	120	144	141	234203	100187
124089	4096	123	169	125	386740	130332
125386	2339	92	145	241	246963	134218
37238	2035	63	79	16	173260	10901
140015	3237	107	194	175	346730	145758
150047	1974	58	212	132	176654	75767
154451	2703	89	148	154	259048	134969
156349	2736	111	171	198	312540	169216
0	2	0	0	0	1	0
6023	207	10	0	5	14688	7953
0	5	1	0	0	98	0
0	8	2	0	0	455	0
0	0	0	0	0	0	0
0	0	0	0	0	0	0
84601	2399	91	141	125	283222	105406
68946	3448	163	204	174	409280	174586
0	0	0	0	0	0	0
0	4	4	0	0	203	0
1644	151	5	0	6	7199	4245
6179	474	20	15	13	46660	21509
3926	141	5	4	3	17547	7670
52789	1145	46	172	35	121550	15673
0	29	2	0	0	969	0
100350	2060	73	125	80	242228	75882

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	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158706&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158706&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158706&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	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	TotCharacter	Pviews	Logins	SubmittedFM	TotHyper	TotTimeRFC	TotCompTime
TotCharacter	1	0.662	0.527	0.7	0.764	0.711	0.793
Pviews	0.662	1	0.741	0.732	0.705	0.916	0.743
Logins	0.527	0.741	1	0.601	0.559	0.713	0.588
SubmittedFM	0.7	0.732	0.601	1	0.685	0.755	0.682
TotHyper	0.764	0.705	0.559	0.685	1	0.784	0.851
TotTimeRFC	0.711	0.916	0.713	0.755	0.784	1	0.864
TotCompTime	0.793	0.743	0.588	0.682	0.851	0.864	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & TotCharacter & Pviews & Logins & SubmittedFM & TotHyper & TotTimeRFC & TotCompTime \tabularnewline
TotCharacter & 1 & 0.662 & 0.527 & 0.7 & 0.764 & 0.711 & 0.793 \tabularnewline
Pviews & 0.662 & 1 & 0.741 & 0.732 & 0.705 & 0.916 & 0.743 \tabularnewline
Logins & 0.527 & 0.741 & 1 & 0.601 & 0.559 & 0.713 & 0.588 \tabularnewline
SubmittedFM & 0.7 & 0.732 & 0.601 & 1 & 0.685 & 0.755 & 0.682 \tabularnewline
TotHyper & 0.764 & 0.705 & 0.559 & 0.685 & 1 & 0.784 & 0.851 \tabularnewline
TotTimeRFC & 0.711 & 0.916 & 0.713 & 0.755 & 0.784 & 1 & 0.864 \tabularnewline
TotCompTime & 0.793 & 0.743 & 0.588 & 0.682 & 0.851 & 0.864 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158706&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]TotCharacter[/C][C]Pviews[/C][C]Logins[/C][C]SubmittedFM[/C][C]TotHyper[/C][C]TotTimeRFC[/C][C]TotCompTime[/C][/ROW]
[ROW][C]TotCharacter[/C][C]1[/C][C]0.662[/C][C]0.527[/C][C]0.7[/C][C]0.764[/C][C]0.711[/C][C]0.793[/C][/ROW]
[ROW][C]Pviews[/C][C]0.662[/C][C]1[/C][C]0.741[/C][C]0.732[/C][C]0.705[/C][C]0.916[/C][C]0.743[/C][/ROW]
[ROW][C]Logins[/C][C]0.527[/C][C]0.741[/C][C]1[/C][C]0.601[/C][C]0.559[/C][C]0.713[/C][C]0.588[/C][/ROW]
[ROW][C]SubmittedFM[/C][C]0.7[/C][C]0.732[/C][C]0.601[/C][C]1[/C][C]0.685[/C][C]0.755[/C][C]0.682[/C][/ROW]
[ROW][C]TotHyper[/C][C]0.764[/C][C]0.705[/C][C]0.559[/C][C]0.685[/C][C]1[/C][C]0.784[/C][C]0.851[/C][/ROW]
[ROW][C]TotTimeRFC[/C][C]0.711[/C][C]0.916[/C][C]0.713[/C][C]0.755[/C][C]0.784[/C][C]1[/C][C]0.864[/C][/ROW]
[ROW][C]TotCompTime[/C][C]0.793[/C][C]0.743[/C][C]0.588[/C][C]0.682[/C][C]0.851[/C][C]0.864[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158706&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158706&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)
	TotCharacter	Pviews	Logins	SubmittedFM	TotHyper	TotTimeRFC	TotCompTime
TotCharacter	1	0.662	0.527	0.7	0.764	0.711	0.793
Pviews	0.662	1	0.741	0.732	0.705	0.916	0.743
Logins	0.527	0.741	1	0.601	0.559	0.713	0.588
SubmittedFM	0.7	0.732	0.601	1	0.685	0.755	0.682
TotHyper	0.764	0.705	0.559	0.685	1	0.784	0.851
TotTimeRFC	0.711	0.916	0.713	0.755	0.784	1	0.864
TotCompTime	0.793	0.743	0.588	0.682	0.851	0.864	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
TotCharacter;Pviews	0.6619	0.604	0.4542
p-value	(0)	(0)	(0)
TotCharacter;Logins	0.5267	0.6017	0.4417
p-value	(0)	(0)	(0)
TotCharacter;SubmittedFM	0.7001	0.5581	0.4114
p-value	(0)	(0)	(0)
TotCharacter;TotHyper	0.7636	0.7551	0.6033
p-value	(0)	(0)	(0)
TotCharacter;TotTimeRFC	0.7111	0.6502	0.4933
p-value	(0)	(0)	(0)
TotCharacter;TotCompTime	0.7933	0.7512	0.5822
p-value	(0)	(0)	(0)
Pviews;Logins	0.7409	0.8382	0.671
p-value	(0)	(0)	(0)
Pviews;SubmittedFM	0.7325	0.6264	0.4668
p-value	(0)	(0)	(0)
Pviews;TotHyper	0.7054	0.6896	0.5201
p-value	(0)	(0)	(0)
Pviews;TotTimeRFC	0.9158	0.8857	0.7349
p-value	(0)	(0)	(0)
Pviews;TotCompTime	0.7429	0.7162	0.5474
p-value	(0)	(0)	(0)
Logins;SubmittedFM	0.6007	0.5943	0.4408
p-value	(0)	(0)	(0)
Logins;TotHyper	0.5595	0.6511	0.4862
p-value	(0)	(0)	(0)
Logins;TotTimeRFC	0.7134	0.7886	0.6155
p-value	(0)	(0)	(0)
Logins;TotCompTime	0.5879	0.686	0.5171
p-value	(0)	(0)	(0)
SubmittedFM;TotHyper	0.6849	0.5993	0.4487
p-value	(0)	(0)	(0)
SubmittedFM;TotTimeRFC	0.7549	0.6264	0.4709
p-value	(0)	(0)	(0)
SubmittedFM;TotCompTime	0.6818	0.5644	0.4198
p-value	(0)	(0)	(0)
TotHyper;TotTimeRFC	0.784	0.7681	0.5949
p-value	(0)	(0)	(0)
TotHyper;TotCompTime	0.851	0.8248	0.6639
p-value	(0)	(0)	(0)
TotTimeRFC;TotCompTime	0.8639	0.8431	0.6779
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
TotCharacter;Pviews & 0.6619 & 0.604 & 0.4542 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacter;Logins & 0.5267 & 0.6017 & 0.4417 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacter;SubmittedFM & 0.7001 & 0.5581 & 0.4114 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacter;TotHyper & 0.7636 & 0.7551 & 0.6033 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacter;TotTimeRFC & 0.7111 & 0.6502 & 0.4933 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacter;TotCompTime & 0.7933 & 0.7512 & 0.5822 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pviews;Logins & 0.7409 & 0.8382 & 0.671 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pviews;SubmittedFM & 0.7325 & 0.6264 & 0.4668 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pviews;TotHyper & 0.7054 & 0.6896 & 0.5201 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pviews;TotTimeRFC & 0.9158 & 0.8857 & 0.7349 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pviews;TotCompTime & 0.7429 & 0.7162 & 0.5474 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;SubmittedFM & 0.6007 & 0.5943 & 0.4408 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;TotHyper & 0.5595 & 0.6511 & 0.4862 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;TotTimeRFC & 0.7134 & 0.7886 & 0.6155 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;TotCompTime & 0.5879 & 0.686 & 0.5171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SubmittedFM;TotHyper & 0.6849 & 0.5993 & 0.4487 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SubmittedFM;TotTimeRFC & 0.7549 & 0.6264 & 0.4709 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SubmittedFM;TotCompTime & 0.6818 & 0.5644 & 0.4198 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotHyper;TotTimeRFC & 0.784 & 0.7681 & 0.5949 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotHyper;TotCompTime & 0.851 & 0.8248 & 0.6639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotTimeRFC;TotCompTime & 0.8639 & 0.8431 & 0.6779 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158706&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]TotCharacter;Pviews[/C][C]0.6619[/C][C]0.604[/C][C]0.4542[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacter;Logins[/C][C]0.5267[/C][C]0.6017[/C][C]0.4417[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacter;SubmittedFM[/C][C]0.7001[/C][C]0.5581[/C][C]0.4114[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacter;TotHyper[/C][C]0.7636[/C][C]0.7551[/C][C]0.6033[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacter;TotTimeRFC[/C][C]0.7111[/C][C]0.6502[/C][C]0.4933[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacter;TotCompTime[/C][C]0.7933[/C][C]0.7512[/C][C]0.5822[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pviews;Logins[/C][C]0.7409[/C][C]0.8382[/C][C]0.671[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pviews;SubmittedFM[/C][C]0.7325[/C][C]0.6264[/C][C]0.4668[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pviews;TotHyper[/C][C]0.7054[/C][C]0.6896[/C][C]0.5201[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pviews;TotTimeRFC[/C][C]0.9158[/C][C]0.8857[/C][C]0.7349[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pviews;TotCompTime[/C][C]0.7429[/C][C]0.7162[/C][C]0.5474[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;SubmittedFM[/C][C]0.6007[/C][C]0.5943[/C][C]0.4408[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;TotHyper[/C][C]0.5595[/C][C]0.6511[/C][C]0.4862[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;TotTimeRFC[/C][C]0.7134[/C][C]0.7886[/C][C]0.6155[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;TotCompTime[/C][C]0.5879[/C][C]0.686[/C][C]0.5171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SubmittedFM;TotHyper[/C][C]0.6849[/C][C]0.5993[/C][C]0.4487[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SubmittedFM;TotTimeRFC[/C][C]0.7549[/C][C]0.6264[/C][C]0.4709[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SubmittedFM;TotCompTime[/C][C]0.6818[/C][C]0.5644[/C][C]0.4198[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotHyper;TotTimeRFC[/C][C]0.784[/C][C]0.7681[/C][C]0.5949[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotHyper;TotCompTime[/C][C]0.851[/C][C]0.8248[/C][C]0.6639[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotTimeRFC;TotCompTime[/C][C]0.8639[/C][C]0.8431[/C][C]0.6779[/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=158706&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158706&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
TotCharacter;Pviews	0.6619	0.604	0.4542
p-value	(0)	(0)	(0)
TotCharacter;Logins	0.5267	0.6017	0.4417
p-value	(0)	(0)	(0)
TotCharacter;SubmittedFM	0.7001	0.5581	0.4114
p-value	(0)	(0)	(0)
TotCharacter;TotHyper	0.7636	0.7551	0.6033
p-value	(0)	(0)	(0)
TotCharacter;TotTimeRFC	0.7111	0.6502	0.4933
p-value	(0)	(0)	(0)
TotCharacter;TotCompTime	0.7933	0.7512	0.5822
p-value	(0)	(0)	(0)
Pviews;Logins	0.7409	0.8382	0.671
p-value	(0)	(0)	(0)
Pviews;SubmittedFM	0.7325	0.6264	0.4668
p-value	(0)	(0)	(0)
Pviews;TotHyper	0.7054	0.6896	0.5201
p-value	(0)	(0)	(0)
Pviews;TotTimeRFC	0.9158	0.8857	0.7349
p-value	(0)	(0)	(0)
Pviews;TotCompTime	0.7429	0.7162	0.5474
p-value	(0)	(0)	(0)
Logins;SubmittedFM	0.6007	0.5943	0.4408
p-value	(0)	(0)	(0)
Logins;TotHyper	0.5595	0.6511	0.4862
p-value	(0)	(0)	(0)
Logins;TotTimeRFC	0.7134	0.7886	0.6155
p-value	(0)	(0)	(0)
Logins;TotCompTime	0.5879	0.686	0.5171
p-value	(0)	(0)	(0)
SubmittedFM;TotHyper	0.6849	0.5993	0.4487
p-value	(0)	(0)	(0)
SubmittedFM;TotTimeRFC	0.7549	0.6264	0.4709
p-value	(0)	(0)	(0)
SubmittedFM;TotCompTime	0.6818	0.5644	0.4198
p-value	(0)	(0)	(0)
TotHyper;TotTimeRFC	0.784	0.7681	0.5949
p-value	(0)	(0)	(0)
TotHyper;TotCompTime	0.851	0.8248	0.6639
p-value	(0)	(0)	(0)
TotTimeRFC;TotCompTime	0.8639	0.8431	0.6779
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