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Author

*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

Thu, 15 Dec 2011 05:08:33 -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/15/t13239437320rdalowvsk6p4iz.htm/, Retrieved Wed, 08 May 2024 12:17:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155317, Retrieved Wed, 08 May 2024 12:17:27 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

124

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] [] [2011-12-15 10:08:33] [888ed98a09d01be7e0be9dfdea403736] [Current]

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Dataseries X:

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Boxplots

210907	30	79	-1	0	1
120982	28	58	NA	NA	NA
176508	38	60	NA	NA	NA
179321	30	108	-1	1	1
123185	22	49	NA	NA	NA
52746	26	0	NA	NA	NA
385534	25	121	NA	NA	NA
33170	18	1	NA	NA	NA
101645	11	20	NA	NA	NA
149061	26	43	-1	1	-1
165446	25	69	NA	NA	NA
237213	38	78	-1	0	-1
173326	44	86	-1	-1	1
133131	30	44	1	-1	1
258873	40	104	-1	1	1
180083	34	63	NA	NA	NA
324799	47	158	-1	1	1
230964	30	102	-1	0	-1
236785	31	77	0	0	0
135473	23	82	NA	NA	NA
202925	36	115	NA	NA	NA
215147	36	101	NA	NA	NA
344297	30	80	-1	1	-1
153935	25	50	NA	NA	NA
132943	39	83	NA	NA	NA
174724	34	123	-1	1	-1
174415	31	73	0	1	1
225548	31	81	NA	NA	NA
223632	33	105	-1	-1	0
124817	25	47	NA	NA	NA
221698	33	105	NA	NA	NA
210767	35	94	NA	NA	NA
170266	42	44	NA	NA	NA
260561	43	114	NA	NA	NA
84853	30	38	NA	NA	NA
294424	33	107	-1	1	-1
101011	13	30	NA	NA	NA
215641	32	71	NA	NA	NA
325107	36	84	0	1	-1
7176	0	0	NA	NA	NA
167542	28	59	NA	NA	NA
106408	14	33	0	1	1
96560	17	42	-1	0	-1
265769	32	96	-1	1	-1
269651	30	106	-1	-1	-1
149112	35	56	-1	-1	-1
175824	20	57	NA	NA	NA
152871	28	59	-1	1	-1
111665	28	39	NA	NA	NA
116408	39	34	NA	NA	NA
362301	34	76	-1	-1	-1
78800	26	20	NA	NA	NA
183167	39	91	-1	-1	1
277965	39	115	1	1	-1
150629	33	85	NA	NA	NA
168809	28	76	NA	NA	NA
24188	4	8	NA	NA	NA
329267	39	79	NA	NA	NA
65029	18	21	NA	NA	NA
101097	14	30	NA	NA	NA
218946	29	76	-1	1	-1
244052	44	101	-1	1	1
341570	21	94	-1	-1	-1
103597	16	27	NA	NA	NA
233328	28	92	1	1	1
256462	35	123	NA	NA	NA
206161	28	75	-1	-1	-1
311473	38	128	-1	1	1
235800	23	105	NA	NA	NA
177939	36	55	NA	NA	NA
207176	32	56	-1	-1	1
196553	29	41	-1	1	-1
174184	25	72	NA	NA	NA
143246	27	67	-1	1	1
187559	36	75	NA	NA	NA
187681	28	114	NA	NA	NA
119016	23	118	NA	NA	NA
182192	40	77	1	-1	1
73566	23	22	NA	NA	NA
194979	40	66	1	-1	1
167488	28	69	-1	1	-1
143756	34	105	0	1	1
275541	33	116	-1	1	1
243199	28	88	NA	NA	NA
182999	34	73	NA	NA	NA
135649	30	99	NA	NA	NA
152299	33	62	-1	1	0
120221	22	53	NA	NA	NA
346485	38	118	NA	NA	NA
145790	26	30	NA	NA	NA
193339	35	100	-1	-1	1
80953	8	49	NA	NA	NA
122774	24	24	NA	NA	NA
130585	29	67	-1	-1	1
112611	20	46	-1	-1	1
286468	29	57	NA	NA	NA
241066	45	75	NA	NA	NA
148446	37	135	-1	1	1
204713	33	68	NA	NA	NA
182079	33	124	-1	1	1
140344	25	33	NA	NA	NA
220516	32	98	NA	NA	NA
243060	29	58	-1	1	-1
162765	28	68	-1	1	-1
182613	28	81	NA	NA	NA
232138	31	131	NA	NA	NA
265318	52	110	NA	NA	NA
85574	21	37	-1	1	-1
310839	24	130	NA	NA	NA
225060	41	93	-1	-1	-1
232317	33	118	NA	NA	NA
144966	32	39	NA	NA	NA
43287	19	13	NA	NA	NA
155754	20	74	NA	NA	NA
164709	31	81	NA	NA	NA
201940	31	109	NA	NA	NA
235454	32	151	NA	NA	NA
220801	18	51	NA	NA	NA
99466	23	28	NA	NA	NA
92661	17	40	NA	NA	NA
133328	20	56	-1	-1	-1
61361	12	27	NA	NA	NA
125930	17	37	NA	NA	NA
100750	30	83	-1	1	1
224549	31	54	NA	NA	NA
82316	10	27	NA	NA	NA
102010	13	28	NA	NA	NA
101523	22	59	-1	-1	-1
243511	42	133	-1	-1	-1
22938	1	12	NA	NA	NA
41566	9	0	NA	NA	NA
152474	32	106	0	0	0
61857	11	23	NA	NA	NA
99923	25	44	NA	NA	NA
132487	36	71	-1	1	-1
317394	31	116	-1	-1	-1
21054	0	4	NA	NA	NA
209641	24	62	NA	NA	NA
22648	13	12	NA	NA	NA
31414	8	18	NA	NA	NA
46698	13	14	NA	NA	NA
131698	19	60	NA	NA	NA
91735	18	7	NA	NA	NA
244749	33	98	-1	-1	-1
184510	40	64	-1	-1	-1
79863	22	29	NA	NA	NA
128423	38	32	-1	1	-1
97839	24	25	-1	0	0
38214	8	16	NA	NA	NA
151101	35	48	NA	NA	NA
272458	43	100	NA	NA	NA
172494	43	46	-1	1	0
108043	14	45	NA	NA	NA
328107	41	129	NA	NA	NA
250579	38	130	NA	NA	NA
351067	45	136	NA	NA	NA
158015	31	59	NA	NA	NA
98866	13	25	NA	NA	NA
85439	28	32	NA	NA	NA
229242	31	63	1	-1	-1
351619	40	95	1	1	1
84207	30	14	NA	NA	NA
120445	16	36	NA	NA	NA
324598	37	113	-1	-1	1
131069	30	47	NA	NA	NA
204271	35	92	NA	NA	NA
165543	32	70	NA	NA	NA
141722	27	19	NA	NA	NA
116048	20	50	NA	NA	NA
250047	18	41	NA	NA	NA
299775	31	91	NA	NA	NA
195838	31	111	-1	-1	1
173260	21	41	NA	NA	NA
254488	39	120	-1	1	-1
104389	41	135	NA	NA	NA
136084	13	27	NA	NA	NA
199476	32	87	-1	1	0
92499	18	25	0	-1	1
224330	39	131	-1	-1	-1
135781	14	45	NA	NA	NA
74408	7	29	NA	NA	NA
81240	17	58	NA	NA	NA
14688	0	4	NA	NA	NA
181633	30	47	-1	1	1
271856	37	109	-1	-1	-1
7199	0	7	NA	NA	NA
46660	5	12	NA	NA	NA
17547	1	0	NA	NA	NA
133368	16	37	NA	NA	NA
95227	32	37	0	1	0
152601	24	46	NA	NA	NA
98146	17	15	-1	-1	0
79619	11	42	NA	NA	NA
59194	24	7	NA	NA	NA
139942	22	54	NA	NA	NA
118612	12	54	-1	1	-1
72880	19	14	NA	NA	NA
65475	13	16	-1	1	0
99643	17	33	NA	NA	NA
71965	15	32	NA	NA	NA
77272	16	21	NA	NA	NA
49289	24	15	NA	NA	NA
135131	15	38	NA	NA	NA
108446	17	22	0	0	0
89746	18	28	NA	NA	NA
44296	20	10	NA	NA	NA
77648	16	31	NA	NA	NA
181528	16	32	NA	NA	NA
134019	18	32	NA	NA	NA
124064	22	43	NA	NA	NA
92630	8	27	NA	NA	NA
121848	17	37	0	0	-1
52915	18	20	NA	NA	NA
81872	16	32	NA	NA	NA
58981	23	0	NA	NA	NA
53515	22	5	NA	NA	NA
60812	13	26	NA	NA	NA
56375	13	10	NA	NA	NA
65490	16	27	NA	NA	NA
80949	16	11	NA	NA	NA
76302	20	29	-1	1	0
104011	22	25	NA	NA	NA
98104	17	55	-1	1	1
67989	18	23	NA	NA	NA
30989	17	5	-1	-1	1
135458	12	43	NA	NA	NA
73504	7	23	NA	NA	NA
63123	17	34	NA	NA	NA
61254	14	36	NA	NA	NA
74914	23	35	NA	NA	NA
31774	17	0	-1	0	1
81437	14	37	NA	NA	NA
87186	15	28	NA	NA	NA
50090	17	16	NA	NA	NA
65745	21	26	NA	NA	NA
56653	18	38	NA	NA	NA
158399	18	23	NA	NA	NA
46455	17	22	NA	NA	NA
73624	17	30	NA	NA	NA
38395	16	16	NA	NA	NA
91899	15	18	NA	NA	NA
139526	21	28	NA	NA	NA
52164	16	32	NA	NA	NA
51567	14	21	NA	NA	NA
70551	15	23	NA	NA	NA
84856	17	29	NA	NA	NA
102538	15	50	NA	NA	NA
86678	15	12	NA	NA	NA
85709	10	21	NA	NA	NA
34662	6	18	NA	NA	NA
150580	22	27	-1	-1	0
99611	21	41	NA	NA	NA
19349	1	13	NA	NA	NA
99373	18	12	NA	NA	NA
86230	17	21	NA	NA	NA
30837	4	8	NA	NA	NA
31706	10	26	NA	NA	NA
89806	16	27	NA	NA	NA
62088	16	13	NA	NA	NA
40151	9	16	NA	NA	NA
27634	16	2	NA	NA	NA
76990	17	42	NA	NA	NA
37460	7	5	NA	NA	NA
54157	15	37	0	1	0
49862	14	17	NA	NA	NA
84337	14	38	NA	NA	NA
64175	18	37	NA	NA	NA
59382	12	29	0	1	-1
119308	16	32	NA	NA	NA
76702	21	35	NA	NA	NA
103425	19	17	NA	NA	NA
70344	16	20	NA	NA	NA
43410	1	7	NA	NA	NA
104838	16	46	NA	NA	NA
62215	10	24	NA	NA	NA
69304	19	40	NA	NA	NA
53117	12	3	NA	NA	NA
19764	2	10	NA	NA	NA
86680	14	37	NA	NA	NA
84105	17	17	-1	-1	-1
77945	19	28	NA	NA	NA
89113	14	19	NA	NA	NA
91005	11	29	NA	NA	NA
40248	4	8	NA	NA	NA
64187	16	10	NA	NA	NA
50857	20	15	NA	NA	NA
56613	12	15	NA	NA	NA
62792	15	28	NA	NA	NA
72535	16	17	NA	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=155317&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=155317&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155317&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=pearson)
	TimeRFC	Reviewed	Blogged	Test1	Test2	Test3
TimeRFC	1	0.758	0.831	0.013	-0.037	-0.142
Reviewed	0.758	1	0.762	0.02	-0.02	0.09
Blogged	0.831	0.762	1	-0.079	0.041	0.051
Test1	0.013	0.02	-0.079	1	0.013	0.192
Test2	-0.037	-0.02	0.041	0.013	1	0.026
Test3	-0.142	0.09	0.051	0.192	0.026	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & TimeRFC & Reviewed & Blogged & Test1 & Test2 & Test3 \tabularnewline
TimeRFC & 1 & 0.758 & 0.831 & 0.013 & -0.037 & -0.142 \tabularnewline
Reviewed & 0.758 & 1 & 0.762 & 0.02 & -0.02 & 0.09 \tabularnewline
Blogged & 0.831 & 0.762 & 1 & -0.079 & 0.041 & 0.051 \tabularnewline
Test1 & 0.013 & 0.02 & -0.079 & 1 & 0.013 & 0.192 \tabularnewline
Test2 & -0.037 & -0.02 & 0.041 & 0.013 & 1 & 0.026 \tabularnewline
Test3 & -0.142 & 0.09 & 0.051 & 0.192 & 0.026 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155317&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]TimeRFC[/C][C]Reviewed[/C][C]Blogged[/C][C]Test1[/C][C]Test2[/C][C]Test3[/C][/ROW]
[ROW][C]TimeRFC[/C][C]1[/C][C]0.758[/C][C]0.831[/C][C]0.013[/C][C]-0.037[/C][C]-0.142[/C][/ROW]
[ROW][C]Reviewed[/C][C]0.758[/C][C]1[/C][C]0.762[/C][C]0.02[/C][C]-0.02[/C][C]0.09[/C][/ROW]
[ROW][C]Blogged[/C][C]0.831[/C][C]0.762[/C][C]1[/C][C]-0.079[/C][C]0.041[/C][C]0.051[/C][/ROW]
[ROW][C]Test1[/C][C]0.013[/C][C]0.02[/C][C]-0.079[/C][C]1[/C][C]0.013[/C][C]0.192[/C][/ROW]
[ROW][C]Test2[/C][C]-0.037[/C][C]-0.02[/C][C]0.041[/C][C]0.013[/C][C]1[/C][C]0.026[/C][/ROW]
[ROW][C]Test3[/C][C]-0.142[/C][C]0.09[/C][C]0.051[/C][C]0.192[/C][C]0.026[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155317&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155317&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)
	TimeRFC	Reviewed	Blogged	Test1	Test2	Test3
TimeRFC	1	0.758	0.831	0.013	-0.037	-0.142
Reviewed	0.758	1	0.762	0.02	-0.02	0.09
Blogged	0.831	0.762	1	-0.079	0.041	0.051
Test1	0.013	0.02	-0.079	1	0.013	0.192
Test2	-0.037	-0.02	0.041	0.013	1	0.026
Test3	-0.142	0.09	0.051	0.192	0.026	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
TimeRFC;Reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
TimeRFC;Blogged	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
TimeRFC;Test1	0.0128	-0.068	-0.0558
p-value	(0.9073)	(0.5362)	(0.5231)
TimeRFC;Test2	-0.0367	-0.0466	-0.0327
p-value	(0.7391)	(0.6719)	(0.7046)
TimeRFC;Test3	-0.1422	-0.1477	-0.1145
p-value	(0.1941)	(0.1772)	(0.1802)
Reviewed;Blogged	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
Reviewed;Test1	0.0196	-0.0273	-0.0261
p-value	(0.8588)	(0.8044)	(0.7691)
Reviewed;Test2	-0.02	-0.043	-0.0363
p-value	(0.8555)	(0.6958)	(0.6793)
Reviewed;Test3	0.0899	0.089	0.0671
p-value	(0.4131)	(0.4178)	(0.4409)
Blogged;Test1	-0.0787	-0.1301	-0.1018
p-value	(0.4741)	(0.2355)	(0.2452)
Blogged;Test2	0.0407	0.0319	0.0269
p-value	(0.7115)	(0.7716)	(0.7552)
Blogged;Test3	0.0514	0.0463	0.0294
p-value	(0.6407)	(0.6739)	(0.7313)
Test1;Test2	0.0131	0.0523	0.0486
p-value	(0.9054)	(0.6348)	(0.6346)
Test1;Test3	0.1924	0.1848	0.1755
p-value	(0.0777)	(0.0905)	(0.0835)
Test2;Test3	0.0265	0.0301	0.0284
p-value	(0.8099)	(0.7844)	(0.7763)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
TimeRFC;Reviewed & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Blogged & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Test1 & 0.0128 & -0.068 & -0.0558 \tabularnewline
p-value & (0.9073) & (0.5362) & (0.5231) \tabularnewline
TimeRFC;Test2 & -0.0367 & -0.0466 & -0.0327 \tabularnewline
p-value & (0.7391) & (0.6719) & (0.7046) \tabularnewline
TimeRFC;Test3 & -0.1422 & -0.1477 & -0.1145 \tabularnewline
p-value & (0.1941) & (0.1772) & (0.1802) \tabularnewline
Reviewed;Blogged & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;Test1 & 0.0196 & -0.0273 & -0.0261 \tabularnewline
p-value & (0.8588) & (0.8044) & (0.7691) \tabularnewline
Reviewed;Test2 & -0.02 & -0.043 & -0.0363 \tabularnewline
p-value & (0.8555) & (0.6958) & (0.6793) \tabularnewline
Reviewed;Test3 & 0.0899 & 0.089 & 0.0671 \tabularnewline
p-value & (0.4131) & (0.4178) & (0.4409) \tabularnewline
Blogged;Test1 & -0.0787 & -0.1301 & -0.1018 \tabularnewline
p-value & (0.4741) & (0.2355) & (0.2452) \tabularnewline
Blogged;Test2 & 0.0407 & 0.0319 & 0.0269 \tabularnewline
p-value & (0.7115) & (0.7716) & (0.7552) \tabularnewline
Blogged;Test3 & 0.0514 & 0.0463 & 0.0294 \tabularnewline
p-value & (0.6407) & (0.6739) & (0.7313) \tabularnewline
Test1;Test2 & 0.0131 & 0.0523 & 0.0486 \tabularnewline
p-value & (0.9054) & (0.6348) & (0.6346) \tabularnewline
Test1;Test3 & 0.1924 & 0.1848 & 0.1755 \tabularnewline
p-value & (0.0777) & (0.0905) & (0.0835) \tabularnewline
Test2;Test3 & 0.0265 & 0.0301 & 0.0284 \tabularnewline
p-value & (0.8099) & (0.7844) & (0.7763) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155317&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]TimeRFC;Reviewed[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Blogged[/C][C]0.8309[/C][C]0.8717[/C][C]0.683[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Test1[/C][C]0.0128[/C][C]-0.068[/C][C]-0.0558[/C][/ROW]
[ROW][C]p-value[/C][C](0.9073)[/C][C](0.5362)[/C][C](0.5231)[/C][/ROW]
[ROW][C]TimeRFC;Test2[/C][C]-0.0367[/C][C]-0.0466[/C][C]-0.0327[/C][/ROW]
[ROW][C]p-value[/C][C](0.7391)[/C][C](0.6719)[/C][C](0.7046)[/C][/ROW]
[ROW][C]TimeRFC;Test3[/C][C]-0.1422[/C][C]-0.1477[/C][C]-0.1145[/C][/ROW]
[ROW][C]p-value[/C][C](0.1941)[/C][C](0.1772)[/C][C](0.1802)[/C][/ROW]
[ROW][C]Reviewed;Blogged[/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]Reviewed;Test1[/C][C]0.0196[/C][C]-0.0273[/C][C]-0.0261[/C][/ROW]
[ROW][C]p-value[/C][C](0.8588)[/C][C](0.8044)[/C][C](0.7691)[/C][/ROW]
[ROW][C]Reviewed;Test2[/C][C]-0.02[/C][C]-0.043[/C][C]-0.0363[/C][/ROW]
[ROW][C]p-value[/C][C](0.8555)[/C][C](0.6958)[/C][C](0.6793)[/C][/ROW]
[ROW][C]Reviewed;Test3[/C][C]0.0899[/C][C]0.089[/C][C]0.0671[/C][/ROW]
[ROW][C]p-value[/C][C](0.4131)[/C][C](0.4178)[/C][C](0.4409)[/C][/ROW]
[ROW][C]Blogged;Test1[/C][C]-0.0787[/C][C]-0.1301[/C][C]-0.1018[/C][/ROW]
[ROW][C]p-value[/C][C](0.4741)[/C][C](0.2355)[/C][C](0.2452)[/C][/ROW]
[ROW][C]Blogged;Test2[/C][C]0.0407[/C][C]0.0319[/C][C]0.0269[/C][/ROW]
[ROW][C]p-value[/C][C](0.7115)[/C][C](0.7716)[/C][C](0.7552)[/C][/ROW]
[ROW][C]Blogged;Test3[/C][C]0.0514[/C][C]0.0463[/C][C]0.0294[/C][/ROW]
[ROW][C]p-value[/C][C](0.6407)[/C][C](0.6739)[/C][C](0.7313)[/C][/ROW]
[ROW][C]Test1;Test2[/C][C]0.0131[/C][C]0.0523[/C][C]0.0486[/C][/ROW]
[ROW][C]p-value[/C][C](0.9054)[/C][C](0.6348)[/C][C](0.6346)[/C][/ROW]
[ROW][C]Test1;Test3[/C][C]0.1924[/C][C]0.1848[/C][C]0.1755[/C][/ROW]
[ROW][C]p-value[/C][C](0.0777)[/C][C](0.0905)[/C][C](0.0835)[/C][/ROW]
[ROW][C]Test2;Test3[/C][C]0.0265[/C][C]0.0301[/C][C]0.0284[/C][/ROW]
[ROW][C]p-value[/C][C](0.8099)[/C][C](0.7844)[/C][C](0.7763)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155317&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155317&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
TimeRFC;Reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
TimeRFC;Blogged	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
TimeRFC;Test1	0.0128	-0.068	-0.0558
p-value	(0.9073)	(0.5362)	(0.5231)
TimeRFC;Test2	-0.0367	-0.0466	-0.0327
p-value	(0.7391)	(0.6719)	(0.7046)
TimeRFC;Test3	-0.1422	-0.1477	-0.1145
p-value	(0.1941)	(0.1772)	(0.1802)
Reviewed;Blogged	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
Reviewed;Test1	0.0196	-0.0273	-0.0261
p-value	(0.8588)	(0.8044)	(0.7691)
Reviewed;Test2	-0.02	-0.043	-0.0363
p-value	(0.8555)	(0.6958)	(0.6793)
Reviewed;Test3	0.0899	0.089	0.0671
p-value	(0.4131)	(0.4178)	(0.4409)
Blogged;Test1	-0.0787	-0.1301	-0.1018
p-value	(0.4741)	(0.2355)	(0.2452)
Blogged;Test2	0.0407	0.0319	0.0269
p-value	(0.7115)	(0.7716)	(0.7552)
Blogged;Test3	0.0514	0.0463	0.0294
p-value	(0.6407)	(0.6739)	(0.7313)
Test1;Test2	0.0131	0.0523	0.0486
p-value	(0.9054)	(0.6348)	(0.6346)
Test1;Test3	0.1924	0.1848	0.1755
p-value	(0.0777)	(0.0905)	(0.0835)
Test2;Test3	0.0265	0.0301	0.0284
p-value	(0.8099)	(0.7844)	(0.7763)

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