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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

Sun, 18 Dec 2011 06:10:16 -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/18/t1324206708fxggz97o7oieyk3.htm/, Retrieved Sun, 05 May 2024 11:13:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156715, Retrieved Sun, 05 May 2024 11:13:59 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

123

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

-     [Kendall tau Correlation Matrix] [WS10 Pearson test] [2011-12-15 13:26:18] [7d6928c5d92ed6ea67ea25577f8d26ae]
- R P   [Kendall tau Correlation Matrix] [WS10 Kendall test] [2011-12-15 13:51:19] [7d6928c5d92ed6ea67ea25577f8d26ae]
- R         [Kendall tau Correlation Matrix] [Paper:  Kendall's...] [2011-12-18 11:10:16] [2c0fb5730614919033aea1a550956e45] [Current]

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Histogram

Boxplots

79	30	112285	0	3	4
58	28	84786	0	NA	NA
60	38	83123	1	1	2
108	30	101193	NA	NA	NA
49	22	38361	NA	NA	NA
0	26	68504	NA	NA	NA
121	25	119182	0	2	4
1	18	22807	NA	NA	NA
20	11	17140	NA	NA	NA
43	26	116174	0	1	4
69	25	57635	1	2	4
78	38	66198	1	1	5
86	44	71701	NA	NA	NA
44	30	57793	1	2	4
104	40	80444	NA	NA	NA
63	34	53855	NA	NA	NA
158	47	97668	1	1	2
102	30	133824	0	4	2
77	31	101481	1	2	4
82	23	99645	0	NA	NA
115	36	114789	NA	NA	NA
101	36	99052	0	1	4
80	30	67654	1	1	5
50	25	65553	0	NA	NA
83	39	97500	NA	NA	NA
123	34	69112	1	1	4
73	31	82753	1	2	4
81	31	85323	0	4	5
105	33	72654	1	2	4
47	25	30727	1	2	4
105	33	77873	NA	NA	NA
94	35	117478	0	3	3
44	42	74007	0	2	3
114	43	90183	NA	NA	NA
38	30	61542	NA	NA	NA
107	33	101494	0	2	5
30	13	27570	NA	NA	NA
71	32	55813	NA	NA	NA
84	36	79215	1	3	4
0	0	1423	1	2	4
59	28	55461	NA	NA	NA
33	14	31081	0	4	2
42	17	22996	0	4	4
96	32	83122	1	0	5
106	30	70106	NA	NA	NA
56	35	60578	0	3	3
57	20	39992	1	1	3
59	28	79892	0	1	4
39	28	49810	1	1	5
34	39	71570	NA	NA	NA
76	34	100708	1	2	4
20	26	33032	NA	NA	NA
91	39	82875	0	3	4
115	39	139077	NA	NA	NA
85	33	71595	NA	NA	NA
76	28	72260	1	NA	NA
8	4	5950	1	NA	NA
79	39	115762	1	1	4
21	18	32551	NA	NA	NA
30	14	31701	NA	NA	NA
76	29	80670	1	3	3
101	44	143558	1	1	4
94	21	117105	1	2	3
27	16	23789	0	2	4
92	28	120733	NA	NA	NA
123	35	105195	1	2	4
75	28	73107	NA	NA	NA
128	38	132068	NA	NA	NA
105	23	149193	0	NA	NA
55	36	46821	NA	NA	NA
56	32	87011	NA	NA	NA
41	29	95260	1	1	4
72	25	55183	1	NA	NA
67	27	106671	0	1	5
75	36	73511	1	NA	NA
114	28	92945	0	2	4
118	23	78664	NA	NA	NA
77	40	70054	NA	NA	NA
22	23	22618	1	1	3
66	40	74011	NA	NA	NA
69	28	83737	0	1	2
105	34	69094	0	4	4
116	33	93133	NA	NA	NA
88	28	95536	0	3	4
73	34	225920	1	NA	NA
99	30	62133	NA	NA	NA
62	33	61370	1	1	4
53	22	43836	NA	NA	NA
118	38	106117	1	3	5
30	26	38692	NA	NA	NA
100	35	84651	1	2	5
49	8	56622	NA	NA	NA
24	24	15986	1	1	2
67	29	95364	0	3	1
46	20	26706	1	3	4
57	29	89691	1	1	4
75	45	67267	NA	NA	NA
135	37	126846	1	3	4
68	33	41140	NA	NA	NA
124	33	102860	0	2	1
33	25	51715	1	1	4
98	32	55801	1	2	4
58	29	111813	1	1	2
68	28	120293	1	2	4
81	28	138599	NA	NA	NA
131	31	161647	1	2	5
110	52	115929	0	1	3
37	21	24266	1	3	4
130	24	162901	0	NA	NA
93	41	109825	0	3	2
118	33	129838	1	4	5
39	32	37510	0	NA	NA
13	19	43750	NA	NA	NA
74	20	40652	NA	NA	NA
81	31	87771	1	3	4
109	31	85872	NA	NA	NA
151	32	89275	NA	NA	NA
51	18	44418	1	3	4
28	23	192565	0	2	2
40	17	35232	1	3	3
56	20	40909	1	3	4
27	12	13294	1	1	2
37	17	32387	NA	NA	NA
83	30	140867	1	1	4
54	31	120662	NA	NA	NA
27	10	21233	NA	NA	NA
28	13	44332	0	3	3
59	22	61056	1	3	4
133	42	101338	1	1	4
12	1	1168	1	3	2
0	9	13497	NA	NA	NA
106	32	65567	1	1	4
23	11	25162	NA	NA	NA
44	25	32334	0	4	2
71	36	40735	1	3	5
116	31	91413	0	3	4
4	0	855	1	NA	NA
62	24	97068	1	NA	NA
12	13	44339	0	4	3
18	8	14116	0	NA	NA
14	13	10288	1	3	3
60	19	65622	1	1	4
7	18	16563	NA	NA	NA
98	33	76643	1	3	4
64	40	110681	NA	NA	NA
29	22	29011	NA	NA	NA
32	38	92696	0	1	4
25	24	94785	0	4	3
16	8	8773	NA	NA	NA
48	35	83209	NA	NA	NA
100	43	93815	1	2	4
46	43	86687	NA	2	2
45	14	34553	1	1	4
129	41	105547	0	3	4
130	38	103487	NA	NA	NA
136	45	213688	1	4	2
59	31	71220	0	NA	NA
25	13	23517	NA	NA	NA
32	28	56926	NA	NA	NA
63	31	91721	1	2	2
95	40	115168	NA	NA	NA
14	30	111194	1	NA	NA
36	16	51009	0	2	4
113	37	135777	0	3	4
47	30	51513	0	2	4
92	35	74163	0	4	3
70	32	51633	NA	NA	NA
19	27	75345	NA	NA	NA
50	20	33416	0	3	2
41	18	83305	1	1	3
91	31	98952	1	NA	NA
111	31	102372	0	1	1
41	21	37238	1	3	4
120	39	103772	0	1	3
135	41	123969	NA	NA	NA
27	13	27142	NA	NA	NA
87	32	135400	NA	NA	NA
25	18	21399	1	3	4
131	39	130115	0	1	4
45	14	24874	0	1	3
29	7	34988	1	1	5
58	17	45549	0	4	5
4	0	6023	NA	NA	NA
47	30	64466	1	1	4
109	37	54990	1	2	4
7	0	1644	NA	NA	NA
12	5	6179	NA	NA	NA
0	1	3926	NA	NA	NA
37	16	32755	NA	NA	NA
37	32	34777	1	1	2
46	24	73224	NA	NA	NA
15	17	27114	0	2	4
42	11	20760	NA	NA	NA
7	24	37636	0	4	4
54	22	65461	1	2	4
54	12	30080	0	1	4
14	19	24094	1	2	3
16	13	69008	1	2	4
33	17	54968	NA	NA	NA
32	15	46090	1	NA	NA
21	16	27507	NA	NA	NA
15	24	10672	NA	NA	NA
38	15	34029	0	3	2
22	17	46300	0	2	3
28	18	24760	NA	NA	NA
10	20	18779	NA	NA	NA
31	16	21280	NA	NA	NA
32	16	40662	1	1	4
32	18	28987	1	1	4
43	22	22827	NA	NA	NA
27	8	18513	NA	NA	NA
37	17	30594	0	1	2
20	18	24006	NA	NA	NA
32	16	27913	0	2	4
0	23	42744	0	1	4
5	22	12934	0	4	4
26	13	22574	NA	NA	NA
10	13	41385	1	1	2
27	16	18653	1	NA	NA
11	16	18472	NA	NA	NA
29	20	30976	1	4	4
25	22	63339	1	1	5
55	17	25568	0	3	3
23	18	33747	NA	NA	NA
5	17	4154	1	NA	NA
43	12	19474	0	NA	NA
23	7	35130	NA	NA	NA
34	17	39067	1	2	4
36	14	13310	NA	NA	NA
35	23	65892	1	3	5
0	17	4143	0	2	4
37	14	28579	1	3	4
28	15	51776	NA	NA	NA
16	17	21152	NA	NA	NA
26	21	38084	1	2	4
38	18	27717	1	2	4
23	18	32928	1	1	2
22	17	11342	NA	NA	NA
30	17	19499	1	1	4
16	16	16380	NA	NA	NA
18	15	36874	1	NA	NA
28	21	48259	1	NA	NA
32	16	16734	NA	NA	NA
21	14	28207	0	1	2
23	15	30143	NA	NA	NA
29	17	41369	NA	NA	NA
50	15	45833	0	2	4
12	15	29156	1	1	5
21	10	35944	NA	NA	NA
18	6	36278	NA	NA	NA
27	22	45588	1	3	4
41	21	45097	1	3	3
13	1	3895	NA	NA	NA
12	18	28394	0	2	4
21	17	18632	0	3	2
8	4	2325	0	4	4
26	10	25139	1	3	5
27	16	27975	1	NA	NA
13	16	14483	NA	NA	NA
16	9	13127	NA	NA	NA
2	16	5839	NA	NA	NA
42	17	24069	NA	NA	NA
5	7	3738	NA	NA	NA
37	15	18625	NA	3	4
17	14	36341	NA	NA	NA
38	14	24548	NA	NA	NA
37	18	21792	0	2	4
29	12	26263	0	2	2
32	16	23686	0	1	2
35	21	49303	0	NA	NA
17	19	25659	NA	NA	NA
20	16	28904	NA	NA	NA
7	1	2781	NA	NA	NA
46	16	29236	NA	NA	NA
24	10	19546	NA	NA	NA
40	19	22818	NA	NA	NA
3	12	32689	NA	NA	NA
10	2	5752	1	NA	NA
37	14	22197	NA	NA	NA
17	17	20055	0	2	4
28	19	25272	NA	NA	NA
19	14	82206	NA	NA	NA
29	11	32073	NA	NA	NA
8	4	5444	NA	NA	NA
10	16	20154	1	2	4
15	20	36944	NA	NA	NA
15	12	8019	NA	NA	NA
28	15	30884	NA	NA	NA
17	16	19540	1	NA	NA

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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156715&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156715&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156715&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

Correlations for all pairs of data series (method=kendall)
	blogged_computations	compendiums_reviewed	totsize	Gender	Restless	Software
blogged_computations	1	0.574	0.606	-0.029	-0.004	0.096
compendiums_reviewed	0.574	1	0.582	0.018	-0.048	0.071
totsize	0.606	0.582	1	-0.051	-0.061	0.055
Gender	-0.029	0.018	-0.051	1	-0.201	0.23
Restless	-0.004	-0.048	-0.061	-0.201	1	-0.014
Software	0.096	0.071	0.055	0.23	-0.014	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & blogged_computations & compendiums_reviewed & totsize & Gender & Restless & Software \tabularnewline
blogged_computations & 1 & 0.574 & 0.606 & -0.029 & -0.004 & 0.096 \tabularnewline
compendiums_reviewed & 0.574 & 1 & 0.582 & 0.018 & -0.048 & 0.071 \tabularnewline
totsize & 0.606 & 0.582 & 1 & -0.051 & -0.061 & 0.055 \tabularnewline
Gender & -0.029 & 0.018 & -0.051 & 1 & -0.201 & 0.23 \tabularnewline
Restless & -0.004 & -0.048 & -0.061 & -0.201 & 1 & -0.014 \tabularnewline
Software & 0.096 & 0.071 & 0.055 & 0.23 & -0.014 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156715&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]totsize[/C][C]Gender[/C][C]Restless[/C][C]Software[/C][/ROW]
[ROW][C]blogged_computations[/C][C]1[/C][C]0.574[/C][C]0.606[/C][C]-0.029[/C][C]-0.004[/C][C]0.096[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.574[/C][C]1[/C][C]0.582[/C][C]0.018[/C][C]-0.048[/C][C]0.071[/C][/ROW]
[ROW][C]totsize[/C][C]0.606[/C][C]0.582[/C][C]1[/C][C]-0.051[/C][C]-0.061[/C][C]0.055[/C][/ROW]
[ROW][C]Gender[/C][C]-0.029[/C][C]0.018[/C][C]-0.051[/C][C]1[/C][C]-0.201[/C][C]0.23[/C][/ROW]
[ROW][C]Restless[/C][C]-0.004[/C][C]-0.048[/C][C]-0.061[/C][C]-0.201[/C][C]1[/C][C]-0.014[/C][/ROW]
[ROW][C]Software[/C][C]0.096[/C][C]0.071[/C][C]0.055[/C][C]0.23[/C][C]-0.014[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156715&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156715&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)
	blogged_computations	compendiums_reviewed	totsize	Gender	Restless	Software
blogged_computations	1	0.574	0.606	-0.029	-0.004	0.096
compendiums_reviewed	0.574	1	0.582	0.018	-0.048	0.071
totsize	0.606	0.582	1	-0.051	-0.061	0.055
Gender	-0.029	0.018	-0.051	1	-0.201	0.23
Restless	-0.004	-0.048	-0.061	-0.201	1	-0.014
Software	0.096	0.071	0.055	0.23	-0.014	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;totsize	0.7605	0.7962	0.6059
p-value	(0)	(0)	(0)
blogged_computations;Gender	-0.0343	-0.0351	-0.0289
p-value	(0.6553)	(0.6473)	(0.6459)
blogged_computations;Restless	-0.0063	-0.005	-0.0038
p-value	(0.9394)	(0.9522)	(0.9512)
blogged_computations;Software	0.0823	0.126	0.0959
p-value	(0.3214)	(0.1284)	(0.1301)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
compendiums_reviewed;Gender	-0.0077	0.0213	0.0177
p-value	(0.9201)	(0.7819)	(0.781)
compendiums_reviewed;Restless	-0.0891	-0.0642	-0.0477
p-value	(0.2832)	(0.4396)	(0.4507)
compendiums_reviewed;Software	0.0385	0.0878	0.0711
p-value	(0.643)	(0.2903)	(0.2665)
totsize;Gender	-0.0582	-0.0627	-0.0513
p-value	(0.4481)	(0.4141)	(0.4125)
totsize;Restless	-0.0457	-0.0789	-0.0606
p-value	(0.5827)	(0.3424)	(0.3318)
totsize;Software	-0.0035	0.068	0.0554
p-value	(0.9666)	(0.4131)	(0.3798)
Gender;Restless	-0.2358	-0.2187	-0.2011
p-value	(0.0043)	(0.0082)	(0.0087)
Gender;Software	0.2486	0.2475	0.2301
p-value	(0.0026)	(0.0027)	(0.003)
Restless;Software	-0.0068	-0.0137	-0.0143
p-value	(0.9353)	(0.8692)	(0.8402)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
blogged_computations;compendiums_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totsize & 0.7605 & 0.7962 & 0.6059 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;Gender & -0.0343 & -0.0351 & -0.0289 \tabularnewline
p-value & (0.6553) & (0.6473) & (0.6459) \tabularnewline
blogged_computations;Restless & -0.0063 & -0.005 & -0.0038 \tabularnewline
p-value & (0.9394) & (0.9522) & (0.9512) \tabularnewline
blogged_computations;Software & 0.0823 & 0.126 & 0.0959 \tabularnewline
p-value & (0.3214) & (0.1284) & (0.1301) \tabularnewline
compendiums_reviewed;totsize & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;Gender & -0.0077 & 0.0213 & 0.0177 \tabularnewline
p-value & (0.9201) & (0.7819) & (0.781) \tabularnewline
compendiums_reviewed;Restless & -0.0891 & -0.0642 & -0.0477 \tabularnewline
p-value & (0.2832) & (0.4396) & (0.4507) \tabularnewline
compendiums_reviewed;Software & 0.0385 & 0.0878 & 0.0711 \tabularnewline
p-value & (0.643) & (0.2903) & (0.2665) \tabularnewline
totsize;Gender & -0.0582 & -0.0627 & -0.0513 \tabularnewline
p-value & (0.4481) & (0.4141) & (0.4125) \tabularnewline
totsize;Restless & -0.0457 & -0.0789 & -0.0606 \tabularnewline
p-value & (0.5827) & (0.3424) & (0.3318) \tabularnewline
totsize;Software & -0.0035 & 0.068 & 0.0554 \tabularnewline
p-value & (0.9666) & (0.4131) & (0.3798) \tabularnewline
Gender;Restless & -0.2358 & -0.2187 & -0.2011 \tabularnewline
p-value & (0.0043) & (0.0082) & (0.0087) \tabularnewline
Gender;Software & 0.2486 & 0.2475 & 0.2301 \tabularnewline
p-value & (0.0026) & (0.0027) & (0.003) \tabularnewline
Restless;Software & -0.0068 & -0.0137 & -0.0143 \tabularnewline
p-value & (0.9353) & (0.8692) & (0.8402) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156715&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]blogged_computations;compendiums_reviewed[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totsize[/C][C]0.7605[/C][C]0.7962[/C][C]0.6059[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;Gender[/C][C]-0.0343[/C][C]-0.0351[/C][C]-0.0289[/C][/ROW]
[ROW][C]p-value[/C][C](0.6553)[/C][C](0.6473)[/C][C](0.6459)[/C][/ROW]
[ROW][C]blogged_computations;Restless[/C][C]-0.0063[/C][C]-0.005[/C][C]-0.0038[/C][/ROW]
[ROW][C]p-value[/C][C](0.9394)[/C][C](0.9522)[/C][C](0.9512)[/C][/ROW]
[ROW][C]blogged_computations;Software[/C][C]0.0823[/C][C]0.126[/C][C]0.0959[/C][/ROW]
[ROW][C]p-value[/C][C](0.3214)[/C][C](0.1284)[/C][C](0.1301)[/C][/ROW]
[ROW][C]compendiums_reviewed;totsize[/C][C]0.7345[/C][C]0.7899[/C][C]0.5825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;Gender[/C][C]-0.0077[/C][C]0.0213[/C][C]0.0177[/C][/ROW]
[ROW][C]p-value[/C][C](0.9201)[/C][C](0.7819)[/C][C](0.781)[/C][/ROW]
[ROW][C]compendiums_reviewed;Restless[/C][C]-0.0891[/C][C]-0.0642[/C][C]-0.0477[/C][/ROW]
[ROW][C]p-value[/C][C](0.2832)[/C][C](0.4396)[/C][C](0.4507)[/C][/ROW]
[ROW][C]compendiums_reviewed;Software[/C][C]0.0385[/C][C]0.0878[/C][C]0.0711[/C][/ROW]
[ROW][C]p-value[/C][C](0.643)[/C][C](0.2903)[/C][C](0.2665)[/C][/ROW]
[ROW][C]totsize;Gender[/C][C]-0.0582[/C][C]-0.0627[/C][C]-0.0513[/C][/ROW]
[ROW][C]p-value[/C][C](0.4481)[/C][C](0.4141)[/C][C](0.4125)[/C][/ROW]
[ROW][C]totsize;Restless[/C][C]-0.0457[/C][C]-0.0789[/C][C]-0.0606[/C][/ROW]
[ROW][C]p-value[/C][C](0.5827)[/C][C](0.3424)[/C][C](0.3318)[/C][/ROW]
[ROW][C]totsize;Software[/C][C]-0.0035[/C][C]0.068[/C][C]0.0554[/C][/ROW]
[ROW][C]p-value[/C][C](0.9666)[/C][C](0.4131)[/C][C](0.3798)[/C][/ROW]
[ROW][C]Gender;Restless[/C][C]-0.2358[/C][C]-0.2187[/C][C]-0.2011[/C][/ROW]
[ROW][C]p-value[/C][C](0.0043)[/C][C](0.0082)[/C][C](0.0087)[/C][/ROW]
[ROW][C]Gender;Software[/C][C]0.2486[/C][C]0.2475[/C][C]0.2301[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0.0027)[/C][C](0.003)[/C][/ROW]
[ROW][C]Restless;Software[/C][C]-0.0068[/C][C]-0.0137[/C][C]-0.0143[/C][/ROW]
[ROW][C]p-value[/C][C](0.9353)[/C][C](0.8692)[/C][C](0.8402)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156715&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156715&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
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;totsize	0.7605	0.7962	0.6059
p-value	(0)	(0)	(0)
blogged_computations;Gender	-0.0343	-0.0351	-0.0289
p-value	(0.6553)	(0.6473)	(0.6459)
blogged_computations;Restless	-0.0063	-0.005	-0.0038
p-value	(0.9394)	(0.9522)	(0.9512)
blogged_computations;Software	0.0823	0.126	0.0959
p-value	(0.3214)	(0.1284)	(0.1301)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
compendiums_reviewed;Gender	-0.0077	0.0213	0.0177
p-value	(0.9201)	(0.7819)	(0.781)
compendiums_reviewed;Restless	-0.0891	-0.0642	-0.0477
p-value	(0.2832)	(0.4396)	(0.4507)
compendiums_reviewed;Software	0.0385	0.0878	0.0711
p-value	(0.643)	(0.2903)	(0.2665)
totsize;Gender	-0.0582	-0.0627	-0.0513
p-value	(0.4481)	(0.4141)	(0.4125)
totsize;Restless	-0.0457	-0.0789	-0.0606
p-value	(0.5827)	(0.3424)	(0.3318)
totsize;Software	-0.0035	0.068	0.0554
p-value	(0.9666)	(0.4131)	(0.3798)
Gender;Restless	-0.2358	-0.2187	-0.2011
p-value	(0.0043)	(0.0082)	(0.0087)
Gender;Software	0.2486	0.2475	0.2301
p-value	(0.0026)	(0.0027)	(0.003)
Restless;Software	-0.0068	-0.0137	-0.0143
p-value	(0.9353)	(0.8692)	(0.8402)

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