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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 09:20:52 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t13244773437pkkqck0czmbvbi.htm/, Retrieved Tue, 07 May 2024 21:09:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158724, Retrieved Tue, 07 May 2024 21:09:53 +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 - ...] [2011-12-21 12:48:56] [95a4a8598e82ac3272c4dca488d0ba38]
- RMP     [Kendall tau Correlation Matrix] [Paper - Deel 3 - ...] [2011-12-21 14:20:52] [a30255a61f2fa55603799e7bfe8f38bd] [Current]

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Dataseries X:

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140824	1785	71	155	165	276257	186099
110459	1227	66	133	135	180480	113854
105079	1985	78	170	121	231152	99776
112098	2683	104	148	148	218443	106194
43929	1248	53	88	73	171533	100792
76173	631	28	129	49	70849	47552
187326	4845	125	128	185	536497	250931
22807	381	19	67	5	33186	6853
144408	2104	61	136	125	224727	115466
66485	1759	45	120	93	213274	110896
79089	2157	112	169	154	310843	169351
81625	2211	122	218	98	242788	94853
68788	1967	76	122	70	195022	72591
103297	3005	81	191	148	367785	101345
69446	2229	87	162	100	261990	113713
114948	5009	181	234	150	392509	165354
167949	2353	75	156	197	335528	164263
125081	3278	163	144	114	376673	135213
125818	1473	56	123	169	181980	111669
136588	2347	87	199	200	266736	134163
112431	2523	71	187	148	278265	140303
103037	2987	104	144	140	461287	150773
82317	1523	42	89	74	195786	111848
118906	1762	56	223	128	197058	102509
83515	3686	127	165	140	252121	96785
104581	2949	131	146	116	250092	116136
103129	2938	131	174	147	274430	158376
83243	2009	88	154	132	278027	153990
37110	1556	53	117	70	165597	64057
113344	3050	73	158	144	371452	230054
139165	2438	81	195	155	296386	184531
86652	2092	81	186	165	248320	114198
112302	2404	95	197	161	351980	198299
69652	1023	41	141	31	101029	33750
119442	3462	101	168	199	412722	189723
69867	2764	56	159	78	273950	100826
101629	3711	123	161	121	425531	188355
70168	1947	84	139	112	231912	104470
31081	947	33	55	41	115658	58391
103925	3609	202	166	158	376008	164808
92622	3324	82	151	123	335039	134097
79011	1842	71	148	104	194127	80238
93487	1869	78	123	94	206947	133252
64520	1813	64	181	73	182286	54518
93473	2496	82	73	52	153778	121850
114360	5557	153	150	71	457592	79367
33032	918	42	82	21	78800	56968
96125	2254	77	201	155	208277	106314
151911	4103	121	193	174	359144	191889
89256	2241	60	164	136	184648	104864
95676	1943	77	158	128	234078	160792
5950	496	24	12	7	24188	15049
149695	2627	329	171	165	388760	191179
32551	744	17	67	21	65029	25109
31701	1161	64	52	35	101097	45824
100087	3121	60	137	137	288327	129711
169707	2655	88	230	174	342506	210012
150491	3925	201	145	257	361861	194679
120192	2722	146	153	207	369577	197680
95893	2312	86	155	103	269961	81180
151715	4061	147	198	171	389738	197765
176225	3195	119	101	279	309474	214738
59900	3042	119	169	83	282769	96252
104767	2644	90	163	130	269324	124527
114799	1535	70	139	131	240385	153242
72128	1898	69	116	126	244386	145707
143592	2090	137	153	158	214916	113963
89626	2772	151	167	138	240376	134904
131072	2500	85	135	200	256163	114268
126817	1718	70	102	104	181550	94333
81351	2568	72	179	111	242199	102204
22618	893	32	88	26	73566	23824
88977	2228	87	185	115	246125	111563
92059	1878	56	133	127	199565	91313
81897	2177	65	164	140	222676	89770
108146	2352	88	169	121	363558	100125
126372	2981	96	143	183	365442	165278
249771	1926	108	154	68	217036	181712
71154	2467	67	164	112	224825	80906
71571	2099	68	146	103	213540	75881
55918	1800	48	137	63	169080	83963
160141	4168	128	175	166	478396	175721
38692	1369	69	99	38	145943	68580
102812	2404	107	122	163	288626	136323
56622	870	25	28	59	80953	55792
15986	1969	56	101	27	150221	25157
123534	1570	61	139	108	179317	100922
108535	3976	215	155	88	399426	118845
93879	2930	122	206	92	349496	170492
144551	3098	106	171	170	180679	81716
56750	2557	100	150	98	286578	115750
127654	2330	82	154	205	274477	105590
65594	1858	65	114	96	195623	92795
59938	3146	77	140	107	282361	82390
146975	2582	86	156	150	329121	135599
165904	1824	42	156	138	198658	127667
169265	1938	60	127	177	264817	163073
183500	2210	83	141	213	300481	211381
165986	4119	156	251	208	403404	189944
184923	3844	114	126	307	406613	226168
140358	2791	138	198	125	294371	117495
149959	2425	67	159	208	313267	195894
57224	2100	190	138	73	193756	80684
43750	602	14	71	49	43287	19630
48029	2195	83	90	82	189520	88634
104978	2413	149	167	206	250254	139292
100046	2632	54	155	112	270832	128602
101047	2759	93	162	139	314153	135848
197426	1268	81	112	60	160308	178377
160902	3234	98	175	70	162843	106330
147172	2026	75	157	112	344925	178303
109432	2310	89	164	142	300526	116938
1168	398	11	0	11	23623	5841
83248	2205	73	155	130	195817	106020
25162	530	25	32	31	61857	24610
45724	1611	51	169	132	163931	74151
110529	3153	120	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	3735	120	152	125	346686	160501
135356	2136	68	183	121	246100	91502
116066	1749	94	181	42	180591	24469
144244	1791	55	119	111	163400	88229
8773	568	34	27	16	38214	13983
102153	2271	45	163	70	230693	80716
117440	2792	82	198	162	357602	157384
104128	1420	63	205	173	202565	122975
134238	3718	85	191	171	424398	191469
134047	2554	99	187	172	348017	231257
279488	3461	130	210	254	421610	258287
79756	1327	39	151	90	196152	122531
66089	1130	43	131	50	102510	61394
102070	2975	348	171	113	302158	86480
146760	4347	183	172	187	444599	195791
154771	1785	57	164	16	148707	18284
165933	4350	135	172	175	407736	147581
64593	1920	79	143	90	164406	72558
92280	1923	50	151	140	278077	147341
67150	2546	98	158	145	282477	114651
128692	1911	118	125	141	226274	100187
124089	4082	123	169	125	384177	130332
125386	2339	92	145	241	246963	134218
37238	2035	63	79	16	173260	10901
140015	3163	105	190	175	341284	145758
150047	1974	58	212	132	176654	75767
154451	2651	87	132	154	253341	134969
156349	2702	109	171	198	307133	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	2256	89	133	125	260901	105406
68946	3447	162	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	1111	45	160	35	118589	15673
0	29	2	0	0	969	0
100350	2011	70	125	80	233108	75882

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	'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158724&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158724&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158724&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	'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Correlations for all pairs of data series (method=kendall)
	TotCharacters	Pageviews	Logins	SubmittedFM	Hyperlinks	TotTimeRFC	TotCompTime
TotCharacters	1	0.462	0.439	0.411	0.603	0.496	0.582
Pageviews	0.462	1	0.679	0.477	0.521	0.741	0.546
Logins	0.439	0.679	1	0.445	0.486	0.622	0.516
SubmittedFM	0.411	0.477	0.445	1	0.452	0.477	0.398
Hyperlinks	0.603	0.521	0.486	0.452	1	0.598	0.664
TotTimeRFC	0.496	0.741	0.622	0.477	0.598	1	0.677
TotCompTime	0.582	0.546	0.516	0.398	0.664	0.677	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & TotCharacters & Pageviews & Logins & SubmittedFM & Hyperlinks & TotTimeRFC & TotCompTime
 \tabularnewline
TotCharacters & 1 & 0.462 & 0.439 & 0.411 & 0.603 & 0.496 & 0.582 \tabularnewline
Pageviews & 0.462 & 1 & 0.679 & 0.477 & 0.521 & 0.741 & 0.546 \tabularnewline
Logins & 0.439 & 0.679 & 1 & 0.445 & 0.486 & 0.622 & 0.516 \tabularnewline
SubmittedFM & 0.411 & 0.477 & 0.445 & 1 & 0.452 & 0.477 & 0.398 \tabularnewline
Hyperlinks & 0.603 & 0.521 & 0.486 & 0.452 & 1 & 0.598 & 0.664 \tabularnewline
TotTimeRFC & 0.496 & 0.741 & 0.622 & 0.477 & 0.598 & 1 & 0.677 \tabularnewline
TotCompTime
 & 0.582 & 0.546 & 0.516 & 0.398 & 0.664 & 0.677 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158724&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]TotCharacters[/C][C]Pageviews[/C][C]Logins[/C][C]SubmittedFM[/C][C]Hyperlinks[/C][C]TotTimeRFC[/C][C]TotCompTime
[/C][/ROW]
[ROW][C]TotCharacters[/C][C]1[/C][C]0.462[/C][C]0.439[/C][C]0.411[/C][C]0.603[/C][C]0.496[/C][C]0.582[/C][/ROW]
[ROW][C]Pageviews[/C][C]0.462[/C][C]1[/C][C]0.679[/C][C]0.477[/C][C]0.521[/C][C]0.741[/C][C]0.546[/C][/ROW]
[ROW][C]Logins[/C][C]0.439[/C][C]0.679[/C][C]1[/C][C]0.445[/C][C]0.486[/C][C]0.622[/C][C]0.516[/C][/ROW]
[ROW][C]SubmittedFM[/C][C]0.411[/C][C]0.477[/C][C]0.445[/C][C]1[/C][C]0.452[/C][C]0.477[/C][C]0.398[/C][/ROW]
[ROW][C]Hyperlinks[/C][C]0.603[/C][C]0.521[/C][C]0.486[/C][C]0.452[/C][C]1[/C][C]0.598[/C][C]0.664[/C][/ROW]
[ROW][C]TotTimeRFC[/C][C]0.496[/C][C]0.741[/C][C]0.622[/C][C]0.477[/C][C]0.598[/C][C]1[/C][C]0.677[/C][/ROW]
[ROW][C]TotCompTime
[/C][C]0.582[/C][C]0.546[/C][C]0.516[/C][C]0.398[/C][C]0.664[/C][C]0.677[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158724&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158724&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)
	TotCharacters	Pageviews	Logins	SubmittedFM	Hyperlinks	TotTimeRFC	TotCompTime
TotCharacters	1	0.462	0.439	0.411	0.603	0.496	0.582
Pageviews	0.462	1	0.679	0.477	0.521	0.741	0.546
Logins	0.439	0.679	1	0.445	0.486	0.622	0.516
SubmittedFM	0.411	0.477	0.445	1	0.452	0.477	0.398
Hyperlinks	0.603	0.521	0.486	0.452	1	0.598	0.664
TotTimeRFC	0.496	0.741	0.622	0.477	0.598	1	0.677
TotCompTime	0.582	0.546	0.516	0.398	0.664	0.677	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
TotCharacters;Pageviews	0.6587	0.6103	0.4617
p-value	(0)	(0)	(0)
TotCharacters;Logins	0.5251	0.5991	0.4391
p-value	(0)	(0)	(0)
TotCharacters;SubmittedFM	0.6933	0.5554	0.4114
p-value	(0)	(0)	(0)
TotCharacters;Hyperlinks	0.7636	0.7551	0.6033
p-value	(0)	(0)	(0)
TotCharacters;TotTimeRFC	0.7097	0.6539	0.4956
p-value	(0)	(0)	(0)
TotCharacters;TotCompTime	0.7933	0.7512	0.5822
p-value	(0)	(0)	(0)
Pageviews;Logins	0.7426	0.8434	0.6788
p-value	(0)	(0)	(0)
Pageviews;SubmittedFM	0.7301	0.6412	0.4772
p-value	(0)	(0)	(0)
Pageviews;Hyperlinks	0.7026	0.6909	0.5209
p-value	(0)	(0)	(0)
Pageviews;TotTimeRFC	0.9156	0.8899	0.7414
p-value	(0)	(0)	(0)
Pageviews;TotCompTime	0.7366	0.7131	0.5461
p-value	(0)	(0)	(0)
Logins;SubmittedFM	0.5921	0.607	0.4445
p-value	(0)	(0)	(0)
Logins;Hyperlinks	0.5598	0.6519	0.4865
p-value	(0)	(0)	(0)
Logins;TotTimeRFC	0.7152	0.7945	0.6222
p-value	(0)	(0)	(0)
Logins;TotCompTime	0.5869	0.6845	0.5159
p-value	(0)	(0)	(0)
SubmittedFM;Hyperlinks	0.6859	0.6031	0.4524
p-value	(0)	(0)	(0)
SubmittedFM;TotTimeRFC	0.7539	0.6362	0.4773
p-value	(0)	(0)	(0)
SubmittedFM;TotCompTime	0.67	0.54	0.398
p-value	(0)	(0)	(0)
Hyperlinks;TotTimeRFC	0.786	0.7709	0.5979
p-value	(0)	(0)	(0)
Hyperlinks;TotCompTime	0.851	0.8248	0.6639
p-value	(0)	(0)	(0)
TotTimeRFC;TotCompTime	0.863	0.8426	0.6771
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
TotCharacters;Pageviews & 0.6587 & 0.6103 & 0.4617 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacters;Logins & 0.5251 & 0.5991 & 0.4391 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacters;SubmittedFM & 0.6933 & 0.5554 & 0.4114 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacters;Hyperlinks & 0.7636 & 0.7551 & 0.6033 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacters;TotTimeRFC & 0.7097 & 0.6539 & 0.4956 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotCharacters;TotCompTime
 & 0.7933 & 0.7512 & 0.5822 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Logins & 0.7426 & 0.8434 & 0.6788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;SubmittedFM & 0.7301 & 0.6412 & 0.4772 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;Hyperlinks & 0.7026 & 0.6909 & 0.5209 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;TotTimeRFC & 0.9156 & 0.8899 & 0.7414 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageviews;TotCompTime
 & 0.7366 & 0.7131 & 0.5461 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;SubmittedFM & 0.5921 & 0.607 & 0.4445 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Hyperlinks & 0.5598 & 0.6519 & 0.4865 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;TotTimeRFC & 0.7152 & 0.7945 & 0.6222 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;TotCompTime
 & 0.5869 & 0.6845 & 0.5159 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SubmittedFM;Hyperlinks & 0.6859 & 0.6031 & 0.4524 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SubmittedFM;TotTimeRFC & 0.7539 & 0.6362 & 0.4773 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SubmittedFM;TotCompTime
 & 0.67 & 0.54 & 0.398 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Hyperlinks;TotTimeRFC & 0.786 & 0.7709 & 0.5979 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Hyperlinks;TotCompTime
 & 0.851 & 0.8248 & 0.6639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TotTimeRFC;TotCompTime
 & 0.863 & 0.8426 & 0.6771 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158724&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]TotCharacters;Pageviews[/C][C]0.6587[/C][C]0.6103[/C][C]0.4617[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacters;Logins[/C][C]0.5251[/C][C]0.5991[/C][C]0.4391[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacters;SubmittedFM[/C][C]0.6933[/C][C]0.5554[/C][C]0.4114[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacters;Hyperlinks[/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]TotCharacters;TotTimeRFC[/C][C]0.7097[/C][C]0.6539[/C][C]0.4956[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TotCharacters;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]Pageviews;Logins[/C][C]0.7426[/C][C]0.8434[/C][C]0.6788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;SubmittedFM[/C][C]0.7301[/C][C]0.6412[/C][C]0.4772[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;Hyperlinks[/C][C]0.7026[/C][C]0.6909[/C][C]0.5209[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;TotTimeRFC[/C][C]0.9156[/C][C]0.8899[/C][C]0.7414[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageviews;TotCompTime
[/C][C]0.7366[/C][C]0.7131[/C][C]0.5461[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;SubmittedFM[/C][C]0.5921[/C][C]0.607[/C][C]0.4445[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Hyperlinks[/C][C]0.5598[/C][C]0.6519[/C][C]0.4865[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;TotTimeRFC[/C][C]0.7152[/C][C]0.7945[/C][C]0.6222[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;TotCompTime
[/C][C]0.5869[/C][C]0.6845[/C][C]0.5159[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SubmittedFM;Hyperlinks[/C][C]0.6859[/C][C]0.6031[/C][C]0.4524[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SubmittedFM;TotTimeRFC[/C][C]0.7539[/C][C]0.6362[/C][C]0.4773[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SubmittedFM;TotCompTime
[/C][C]0.67[/C][C]0.54[/C][C]0.398[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Hyperlinks;TotTimeRFC[/C][C]0.786[/C][C]0.7709[/C][C]0.5979[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Hyperlinks;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]0.863[/C][C]0.8426[/C][C]0.6771[/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=158724&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158724&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
TotCharacters;Pageviews	0.6587	0.6103	0.4617
p-value	(0)	(0)	(0)
TotCharacters;Logins	0.5251	0.5991	0.4391
p-value	(0)	(0)	(0)
TotCharacters;SubmittedFM	0.6933	0.5554	0.4114
p-value	(0)	(0)	(0)
TotCharacters;Hyperlinks	0.7636	0.7551	0.6033
p-value	(0)	(0)	(0)
TotCharacters;TotTimeRFC	0.7097	0.6539	0.4956
p-value	(0)	(0)	(0)
TotCharacters;TotCompTime	0.7933	0.7512	0.5822
p-value	(0)	(0)	(0)
Pageviews;Logins	0.7426	0.8434	0.6788
p-value	(0)	(0)	(0)
Pageviews;SubmittedFM	0.7301	0.6412	0.4772
p-value	(0)	(0)	(0)
Pageviews;Hyperlinks	0.7026	0.6909	0.5209
p-value	(0)	(0)	(0)
Pageviews;TotTimeRFC	0.9156	0.8899	0.7414
p-value	(0)	(0)	(0)
Pageviews;TotCompTime	0.7366	0.7131	0.5461
p-value	(0)	(0)	(0)
Logins;SubmittedFM	0.5921	0.607	0.4445
p-value	(0)	(0)	(0)
Logins;Hyperlinks	0.5598	0.6519	0.4865
p-value	(0)	(0)	(0)
Logins;TotTimeRFC	0.7152	0.7945	0.6222
p-value	(0)	(0)	(0)
Logins;TotCompTime	0.5869	0.6845	0.5159
p-value	(0)	(0)	(0)
SubmittedFM;Hyperlinks	0.6859	0.6031	0.4524
p-value	(0)	(0)	(0)
SubmittedFM;TotTimeRFC	0.7539	0.6362	0.4773
p-value	(0)	(0)	(0)
SubmittedFM;TotCompTime	0.67	0.54	0.398
p-value	(0)	(0)	(0)
Hyperlinks;TotTimeRFC	0.786	0.7709	0.5979
p-value	(0)	(0)	(0)
Hyperlinks;TotCompTime	0.851	0.8248	0.6639
p-value	(0)	(0)	(0)
TotTimeRFC;TotCompTime	0.863	0.8426	0.6771
p-value	(0)	(0)	(0)

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