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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 23 Dec 2011 07:58:54 -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/t13246460412hz8o8immootdaw.htm/, Retrieved Mon, 29 Apr 2024 22:15:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160376, Retrieved Mon, 29 Apr 2024 22:15:03 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

105

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

-     [Multiple Regression] [] [2011-12-17 15:29:01] [ee8c3a74bf3b349877806e9a50913c60]
- RMPD    [Kendall tau Correlation Matrix] [] [2011-12-23 12:58:54] [539ae27d3016cec7ecb6ecd6e9a1efc7] [Current]
- RMPD      [Recursive Partitioning (Regression Trees)] [] [2011-12-23 15:55:33] [e21b9c93af4eb9605ecfaf58a559e5ab] 

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Dataseries X:

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Histogram

Boxplots

41	1785	276257	93	492	140824	165
34	1227	180480	63	436	110459	135
44	1944	229345	62	697	105079	121
38	2683	218443	135	1137	112098	148
27	1247	171533	48	380	43929	73
35	631	70849	46	179	76173	49
33	4845	536497	109	2354	187326	185
18	381	33186	46	111	22807	5
34	2066	217320	75	740	144408	125
33	1759	213274	72	595	66485	93
46	2157	310843	82	809	79089	154
57	2211	242788	63	693	81625	98
37	1967	195022	60	738	68788	70
55	3005	367785	117	1184	103297	148
44	2228	261990	50	713	69446	100
62	5009	392509	132	1729	114948	150
40	2353	335528	63	844	167949	197
39	3278	376673	90	1298	125081	114
32	1473	181980	44	514	125818	169
51	2347	266736	64	689	136588	200
49	2523	278265	103	837	112431	148
39	2987	461287	101	1330	103037	140
25	1523	195786	62	491	82317	74
56	1761	197058	69	622	118906	128
45	3660	250284	159	1332	83515	140
38	2949	250092	74	1046	104581	116
45	2914	274121	101	1082	103129	147
43	2009	278027	73	636	83243	132
32	1555	165597	53	586	37110	70
41	3050	371452	140	1170	113344	144
50	2438	296386	54	976	139165	155
50	2092	248320	84	721	86652	165
51	2404	351980	56	863	112302	161
37	1018	101014	40	343	69652	31
44	3462	412722	87	1278	119442	199
42	2764	273950	87	1186	69867	78
44	3710	425531	77	1334	101629	121
36	1947	231912	67	652	70168	112
17	947	115658	36	284	31081	41
43	3609	376008	51	1273	103925	158
41	3324	335039	44	1518	92622	123
41	1842	194127	75	715	79011	104
38	1869	206947	85	671	93487	94
49	1813	182286	97	486	64520	73
45	2496	153778	82	1022	93473	52
42	5557	457592	860	2084	114360	71
26	918	78800	57	330	33032	21
52	2254	208277	80	658	96125	155
50	4103	359144	120	1385	151911	174
45	2241	184648	68	930	89256	136
40	1943	234078	48	620	95676	128
4	496	24188	20	218	5950	7
44	2594	380576	81	840	149695	165
18	744	65029	21	255	32551	21
14	1161	101097	70	454	31701	35
38	3121	288327	128	1149	100087	137
61	2621	334829	86	684	169707	174
39	3906	359400	222	1190	150491	257
42	2722	369577	63	1079	120192	207
40	2312	269961	86	883	95893	103
51	4061	389738	70	1331	151715	171
28	3195	309474	146	1159	176225	279
43	3041	282769	72	1217	59900	83
42	2644	269324	59	946	104767	130
37	1496	234773	58	579	114799	131
30	1835	237561	58	474	72128	126
39	2090	214916	60	630	143592	158
44	2772	240376	89	843	89626	138
36	2440	247447	78	893	131072	200
28	1718	181550	62	633	126817	104
47	2566	242152	67	873	81351	111
23	893	73566	39	385	22618	26
48	2227	246125	60	729	88977	115
38	1878	199565	94	774	92059	127
42	2177	222676	67	769	81897	140
46	2352	363558	96	996	108146	121
37	2981	365442	51	1194	126372	183
41	1926	217036	50	575	249771	68
42	2400	213466	62	725	71154	112
41	2034	204477	71	706	71571	103
36	1800	169080	49	665	55918	63
45	4168	478396	114	1259	160141	166
26	1369	145943	45	653	38692	38
44	2403	288626	57	694	102812	163
8	870	80953	31	437	56622	59
27	1968	150221	175	822	15986	27
38	1569	179317	70	458	123534	108
38	3962	395368	282	1545	108535	88
57	2928	349460	91	987	93879	92
45	3098	180679	72	1051	144551	170
40	2557	286578	62	838	56750	98
42	2329	274477	75	703	127654	205
31	1858	195623	86	613	65594	96
36	3146	282361	89	1128	59938	107
40	2582	329121	138	967	146975	150
40	1824	198658	68	617	165904	138
35	1938	264817	72	654	169265	177
39	2210	300481	61	805	183500	213
65	4119	403404	130	1355	165986	208
33	3844	406613	85	1456	184923	307
51	2791	294371	83	878	140358	125
42	2425	313267	86	887	149959	208
36	2052	189276	116	663	57224	73
19	602	43287	43	214	43750	49
25	2195	189520	87	733	48029	82
44	2413	250254	80	830	104978	206
40	2632	270832	110	1174	100046	112
44	2759	314153	59	1068	101047	139
30	1268	160308	44	413	197426	60
45	3233	162843	85	946	160902	70
42	2025	344925	60	657	147172	112
45	2310	300526	70	690	109432	142
1	398	23623	9	156	1168	11
40	2205	195817	54	779	83248	130
11	530	61857	25	192	25162	31
45	1611	163931	107	461	45724	132
38	3153	428191	63	1213	110529	219
0	387	21054	2	146	855	4
30	2137	252805	67	866	101382	102
8	492	31961	22	200	14116	39
41	3674	335888	155	1290	89506	125
48	2136	246100	79	715	135356	121
48	1748	180591	112	514	116066	42
32	1790	163400	50	697	144244	111
8	568	38214	52	276	8773	16
43	2191	224597	113	752	102153	70
52	2792	357602	115	1021	117440	162
53	1420	202565	78	494	104128	173
49	3718	424398	135	1626	134238	171
48	2554	348017	120	884	134047	172
56	3460	421610	122	1187	279488	254
40	1284	192170	49	488	79756	90
36	1130	102510	56	403	66089	50
44	2974	302158	155	977	102070	113
46	4346	444599	155	1525	146760	187
43	1785	148707	107	551	154771	16
46	4350	407736	146	1807	165933	175
39	1920	164406	76	723	64593	90
41	1923	278077	83	632	92280	140
46	2541	282461	192	898	67150	145
32	1845	219544	69	621	128692	141
45	4081	384177	131	1606	124089	125
39	2339	246963	67	811	125386	241
21	2035	173260	37	716	37238	16
49	3108	336715	60	1001	140015	175
55	1974	176654	127	732	150047	132
36	2651	253341	52	1024	154451	154
48	2702	307133	71	831	156349	198
0	2	1	0	0	0	0
0	207	14688	0	85	6023	5
0	5	98	0	0	0	0
0	8	455	0	0	0	0
0	0	0	0	0	0	0
0	0	0	0	0	0	0
43	2255	260901	67	773	84601	125
52	3447	409280	123	1128	68946	174
0	0	0	0	0	0	0
0	4	203	0	0	0	0
0	151	7199	0	74	1644	6
5	474	46660	7	259	6179	13
1	141	17547	3	69	3926	3
45	1111	118589	102	301	52789	35
0	29	969	0	0	0	0
34	2011	233108	53	668	100350	80

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	'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 & 1 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=160376&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]'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=160376&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160376&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	'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=pearson)
	reviews	pgviews	timerfc	prview	compview	char	hyper
reviews	1	0.733	0.751	0.374	0.643	0.687	0.678
pgviews	0.733	1	0.916	0.597	0.967	0.658	0.702
timerfc	0.751	0.916	1	0.483	0.889	0.709	0.786
prview	0.374	0.597	0.483	1	0.58	0.293	0.246
compview	0.643	0.967	0.889	0.58	1	0.599	0.644
char	0.687	0.658	0.709	0.293	0.599	1	0.764
hyper	0.678	0.702	0.786	0.246	0.644	0.764	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & reviews & pgviews & timerfc & prview & compview & char & hyper
 \tabularnewline
reviews & 1 & 0.733 & 0.751 & 0.374 & 0.643 & 0.687 & 0.678 \tabularnewline
pgviews & 0.733 & 1 & 0.916 & 0.597 & 0.967 & 0.658 & 0.702 \tabularnewline
timerfc & 0.751 & 0.916 & 1 & 0.483 & 0.889 & 0.709 & 0.786 \tabularnewline
prview & 0.374 & 0.597 & 0.483 & 1 & 0.58 & 0.293 & 0.246 \tabularnewline
compview & 0.643 & 0.967 & 0.889 & 0.58 & 1 & 0.599 & 0.644 \tabularnewline
char & 0.687 & 0.658 & 0.709 & 0.293 & 0.599 & 1 & 0.764 \tabularnewline
hyper
 & 0.678 & 0.702 & 0.786 & 0.246 & 0.644 & 0.764 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160376&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]reviews[/C][C]pgviews[/C][C]timerfc[/C][C]prview[/C][C]compview[/C][C]char[/C][C]hyper
[/C][/ROW]
[ROW][C]reviews[/C][C]1[/C][C]0.733[/C][C]0.751[/C][C]0.374[/C][C]0.643[/C][C]0.687[/C][C]0.678[/C][/ROW]
[ROW][C]pgviews[/C][C]0.733[/C][C]1[/C][C]0.916[/C][C]0.597[/C][C]0.967[/C][C]0.658[/C][C]0.702[/C][/ROW]
[ROW][C]timerfc[/C][C]0.751[/C][C]0.916[/C][C]1[/C][C]0.483[/C][C]0.889[/C][C]0.709[/C][C]0.786[/C][/ROW]
[ROW][C]prview[/C][C]0.374[/C][C]0.597[/C][C]0.483[/C][C]1[/C][C]0.58[/C][C]0.293[/C][C]0.246[/C][/ROW]
[ROW][C]compview[/C][C]0.643[/C][C]0.967[/C][C]0.889[/C][C]0.58[/C][C]1[/C][C]0.599[/C][C]0.644[/C][/ROW]
[ROW][C]char[/C][C]0.687[/C][C]0.658[/C][C]0.709[/C][C]0.293[/C][C]0.599[/C][C]1[/C][C]0.764[/C][/ROW]
[ROW][C]hyper
[/C][C]0.678[/C][C]0.702[/C][C]0.786[/C][C]0.246[/C][C]0.644[/C][C]0.764[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160376&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160376&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)
	reviews	pgviews	timerfc	prview	compview	char	hyper
reviews	1	0.733	0.751	0.374	0.643	0.687	0.678
pgviews	0.733	1	0.916	0.597	0.967	0.658	0.702
timerfc	0.751	0.916	1	0.483	0.889	0.709	0.786
prview	0.374	0.597	0.483	1	0.58	0.293	0.246
compview	0.643	0.967	0.889	0.58	1	0.599	0.644
char	0.687	0.658	0.709	0.293	0.599	1	0.764
hyper	0.678	0.702	0.786	0.246	0.644	0.764	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
reviews;pgviews	0.7327	0.6332	0.4774
p-value	(0)	(0)	(0)
reviews;timerfc	0.751	0.6255	0.4747
p-value	(0)	(0)	(0)
reviews;prview	0.374	0.5921	0.4461
p-value	(0)	(0)	(0)
reviews;compview	0.6425	0.5701	0.4203
p-value	(0)	(0)	(0)
reviews;char	0.6867	0.5207	0.3837
p-value	(0)	(0)	(0)
reviews;hyper	0.6781	0.5875	0.4439
p-value	(0)	(0)	(0)
pgviews;timerfc	0.9155	0.8908	0.7424
p-value	(0)	(0)	(0)
pgviews;prview	0.5971	0.6884	0.5211
p-value	(0)	(0)	(0)
pgviews;compview	0.9674	0.9689	0.8571
p-value	(0)	(0)	(0)
pgviews;char	0.6585	0.6093	0.4601
p-value	(0)	(0)	(0)
pgviews;hyper	0.7022	0.6919	0.5216
p-value	(0)	(0)	(0)
timerfc;prview	0.4833	0.6226	0.4596
p-value	(0)	(0)	(0)
timerfc;compview	0.8892	0.8586	0.6958
p-value	(0)	(0)	(0)
timerfc;char	0.7094	0.6538	0.4951
p-value	(0)	(0)	(0)
timerfc;hyper	0.7856	0.7707	0.5981
p-value	(0)	(0)	(0)
prview;compview	0.5799	0.6833	0.5191
p-value	(0)	(0)	(0)
prview;char	0.2932	0.4762	0.3465
p-value	(1e-04)	(0)	(0)
prview;hyper	0.2459	0.5041	0.3686
p-value	(0.0015)	(0)	(0)
compview;char	0.5987	0.5668	0.419
p-value	(0)	(0)	(0)
compview;hyper	0.6444	0.6472	0.485
p-value	(0)	(0)	(0)
char;hyper	0.7636	0.7551	0.6033
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
reviews;pgviews & 0.7327 & 0.6332 & 0.4774 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;timerfc & 0.751 & 0.6255 & 0.4747 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;prview & 0.374 & 0.5921 & 0.4461 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;compview & 0.6425 & 0.5701 & 0.4203 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;char & 0.6867 & 0.5207 & 0.3837 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
reviews;hyper
 & 0.6781 & 0.5875 & 0.4439 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pgviews;timerfc & 0.9155 & 0.8908 & 0.7424 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pgviews;prview & 0.5971 & 0.6884 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pgviews;compview & 0.9674 & 0.9689 & 0.8571 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pgviews;char & 0.6585 & 0.6093 & 0.4601 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pgviews;hyper
 & 0.7022 & 0.6919 & 0.5216 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;prview & 0.4833 & 0.6226 & 0.4596 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;compview & 0.8892 & 0.8586 & 0.6958 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;char & 0.7094 & 0.6538 & 0.4951 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
timerfc;hyper
 & 0.7856 & 0.7707 & 0.5981 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
prview;compview & 0.5799 & 0.6833 & 0.5191 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
prview;char & 0.2932 & 0.4762 & 0.3465 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
prview;hyper
 & 0.2459 & 0.5041 & 0.3686 \tabularnewline
p-value & (0.0015) & (0) & (0) \tabularnewline
compview;char & 0.5987 & 0.5668 & 0.419 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compview;hyper
 & 0.6444 & 0.6472 & 0.485 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
char;hyper
 & 0.7636 & 0.7551 & 0.6033 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160376&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]reviews;pgviews[/C][C]0.7327[/C][C]0.6332[/C][C]0.4774[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;timerfc[/C][C]0.751[/C][C]0.6255[/C][C]0.4747[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;prview[/C][C]0.374[/C][C]0.5921[/C][C]0.4461[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;compview[/C][C]0.6425[/C][C]0.5701[/C][C]0.4203[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;char[/C][C]0.6867[/C][C]0.5207[/C][C]0.3837[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]reviews;hyper
[/C][C]0.6781[/C][C]0.5875[/C][C]0.4439[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pgviews;timerfc[/C][C]0.9155[/C][C]0.8908[/C][C]0.7424[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pgviews;prview[/C][C]0.5971[/C][C]0.6884[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pgviews;compview[/C][C]0.9674[/C][C]0.9689[/C][C]0.8571[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pgviews;char[/C][C]0.6585[/C][C]0.6093[/C][C]0.4601[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pgviews;hyper
[/C][C]0.7022[/C][C]0.6919[/C][C]0.5216[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;prview[/C][C]0.4833[/C][C]0.6226[/C][C]0.4596[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;compview[/C][C]0.8892[/C][C]0.8586[/C][C]0.6958[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;char[/C][C]0.7094[/C][C]0.6538[/C][C]0.4951[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]timerfc;hyper
[/C][C]0.7856[/C][C]0.7707[/C][C]0.5981[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]prview;compview[/C][C]0.5799[/C][C]0.6833[/C][C]0.5191[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]prview;char[/C][C]0.2932[/C][C]0.4762[/C][C]0.3465[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]prview;hyper
[/C][C]0.2459[/C][C]0.5041[/C][C]0.3686[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compview;char[/C][C]0.5987[/C][C]0.5668[/C][C]0.419[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compview;hyper
[/C][C]0.6444[/C][C]0.6472[/C][C]0.485[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]char;hyper
[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160376&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160376&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
reviews;pgviews	0.7327	0.6332	0.4774
p-value	(0)	(0)	(0)
reviews;timerfc	0.751	0.6255	0.4747
p-value	(0)	(0)	(0)
reviews;prview	0.374	0.5921	0.4461
p-value	(0)	(0)	(0)
reviews;compview	0.6425	0.5701	0.4203
p-value	(0)	(0)	(0)
reviews;char	0.6867	0.5207	0.3837
p-value	(0)	(0)	(0)
reviews;hyper	0.6781	0.5875	0.4439
p-value	(0)	(0)	(0)
pgviews;timerfc	0.9155	0.8908	0.7424
p-value	(0)	(0)	(0)
pgviews;prview	0.5971	0.6884	0.5211
p-value	(0)	(0)	(0)
pgviews;compview	0.9674	0.9689	0.8571
p-value	(0)	(0)	(0)
pgviews;char	0.6585	0.6093	0.4601
p-value	(0)	(0)	(0)
pgviews;hyper	0.7022	0.6919	0.5216
p-value	(0)	(0)	(0)
timerfc;prview	0.4833	0.6226	0.4596
p-value	(0)	(0)	(0)
timerfc;compview	0.8892	0.8586	0.6958
p-value	(0)	(0)	(0)
timerfc;char	0.7094	0.6538	0.4951
p-value	(0)	(0)	(0)
timerfc;hyper	0.7856	0.7707	0.5981
p-value	(0)	(0)	(0)
prview;compview	0.5799	0.6833	0.5191
p-value	(0)	(0)	(0)
prview;char	0.2932	0.4762	0.3465
p-value	(1e-04)	(0)	(0)
prview;hyper	0.2459	0.5041	0.3686
p-value	(0.0015)	(0)	(0)
compview;char	0.5987	0.5668	0.419
p-value	(0)	(0)	(0)
compview;hyper	0.6444	0.6472	0.485
p-value	(0)	(0)	(0)
char;hyper	0.7636	0.7551	0.6033
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