Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

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

Mon, 12 Dec 2011 16:02:43 -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/12/t1323727122ju1mctvdtgsf2by.htm/, Retrieved Fri, 03 May 2024 04:26:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154252, Retrieved Fri, 03 May 2024 04:26:50 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Kendall tau Correlation Matrix] [workshop 10:  1] [2011-12-12 21:02:43] [d7127d50f40450f0f3837a0965e389eb] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

210907	56	396	81	79	30
120982	56	297	55	58	28
176508	54	559	50	60	38
179321	89	967	125	108	30
123185	40	270	40	49	22
52746	25	143	37	0	26
385534	92	1562	63	121	25
33170	18	109	44	1	18
101645	63	371	88	20	11
149061	44	656	66	43	26
165446	33	511	57	69	25
237213	84	655	74	78	38
173326	88	465	49	86	44
133131	55	525	52	44	30
258873	60	885	88	104	40
180083	66	497	36	63	34
324799	154	1436	108	158	47
230964	53	612	43	102	30
236785	119	865	75	77	31
135473	41	385	32	82	23
202925	61	567	44	115	36
215147	58	639	85	101	36
344297	75	963	86	80	30
153935	33	398	56	50	25
132943	40	410	50	83	39
174724	92	966	135	123	34
174415	100	801	63	73	31
225548	112	892	81	81	31
223632	73	513	52	105	33
124817	40	469	44	47	25
221698	45	683	113	105	33
210767	60	643	39	94	35
170266	62	535	73	44	42
260561	75	625	48	114	43
84853	31	264	33	38	30
294424	77	992	59	107	33
101011	34	238	41	30	13
215641	46	818	69	71	32
325107	99	937	64	84	36
7176	17	70	1	0	0
167542	66	507	59	59	28
106408	30	260	32	33	14
96560	76	503	129	42	17
265769	146	927	37	96	32
269651	67	1269	31	106	30
149112	56	537	65	56	35
175824	107	910	107	57	20
152871	58	532	74	59	28
111665	34	345	54	39	28
116408	61	918	76	34	39
362301	119	1635	715	76	34
78800	42	330	57	20	26
183167	66	557	66	91	39
277965	89	1178	106	115	39
150629	44	740	54	85	33
168809	66	452	32	76	28
24188	24	218	20	8	4
329267	259	764	71	79	39
65029	17	255	21	21	18
101097	64	454	70	30	14
218946	41	866	112	76	29
244052	68	574	66	101	44
341570	168	1276	190	94	21
103597	43	379	66	27	16
233328	132	825	165	92	28
256462	105	798	56	123	35
206161	71	663	61	75	28
311473	112	1069	53	128	38
235800	94	921	127	105	23
177939	82	858	63	55	36
207176	70	711	38	56	32
196553	57	503	50	41	29
174184	53	382	52	72	25
143246	103	464	42	67	27
187559	121	717	76	75	36
187681	62	690	67	114	28
119016	52	462	50	118	23
182192	52	657	53	77	40
73566	32	385	39	22	23
194979	62	577	50	66	40
167488	45	619	77	69	28
143756	46	479	57	105	34
275541	63	817	73	116	33
243199	75	752	34	88	28
182999	88	430	39	73	34
135649	46	451	46	99	30
152299	53	537	63	62	33
120221	37	519	35	53	22
346485	90	1000	106	118	38
145790	63	637	43	30	26
193339	78	465	47	100	35
80953	25	437	31	49	8
122774	45	711	162	24	24
130585	46	299	57	67	29
112611	41	248	36	46	20
286468	144	1162	263	57	29
241066	82	714	78	75	45
148446	91	905	63	135	37
204713	71	649	54	68	33
182079	63	512	63	124	33
140344	53	472	77	33	25
220516	62	905	79	98	32
243060	63	786	110	58	29
162765	32	489	56	68	28
182613	39	479	56	81	28
232138	62	617	43	131	31
265318	117	925	111	110	52
85574	34	351	71	37	21
310839	92	1144	62	130	24
225060	93	669	56	93	41
232317	54	707	74	118	33
144966	144	458	60	39	32
43287	14	214	43	13	19
155754	61	599	68	74	20
164709	109	572	53	81	31
201940	38	897	87	109	31
235454	73	819	46	151	32
220801	75	720	105	51	18
99466	50	273	32	28	23
92661	61	508	133	40	17
133328	55	506	79	56	20
61361	77	451	51	27	12
125930	75	699	207	37	17
100750	72	407	67	83	30
224549	50	465	47	54	31
82316	32	245	34	27	10
102010	53	370	66	28	13
101523	42	316	76	59	22
243511	71	603	65	133	42
22938	10	154	9	12	1
41566	35	229	42	0	9
152474	65	577	45	106	32
61857	25	192	25	23	11
99923	66	617	115	44	25
132487	41	411	97	71	36
317394	86	975	53	116	31
21054	16	146	2	4	0
209641	42	705	52	62	24
22648	19	184	44	12	13
31414	19	200	22	18	8
46698	45	274	35	14	13
131698	65	502	74	60	19
91735	35	382	103	7	18
244749	95	964	144	98	33
184510	49	537	60	64	40
79863	37	438	134	29	22
128423	64	369	89	32	38
97839	38	417	42	25	24
38214	34	276	52	16	8
151101	32	514	98	48	35
272458	65	822	99	100	43
172494	52	389	52	46	43
108043	62	466	29	45	14
328107	65	1255	125	129	41
250579	83	694	106	130	38
351067	95	1024	95	136	45
158015	29	400	40	59	31
98866	18	397	140	25	13
85439	33	350	43	32	28
229242	247	719	128	63	31
351619	139	1277	142	95	40
84207	29	356	73	14	30
120445	118	457	72	36	16
324598	110	1402	128	113	37
131069	67	600	61	47	30
204271	42	480	73	92	35
165543	65	595	148	70	32
141722	94	436	64	19	27
116048	64	230	45	50	20
250047	81	651	58	41	18
299775	95	1367	97	91	31
195838	67	564	50	111	31
173260	63	716	37	41	21
254488	83	747	50	120	39
104389	45	467	105	135	41
136084	30	671	69	27	13
199476	70	861	46	87	32
92499	32	319	57	25	18
224330	83	612	52	131	39
135781	31	433	98	45	14
74408	67	434	61	29	7
81240	66	503	89	58	17
14688	10	85	0	4	0
181633	70	564	48	47	30
271856	103	824	91	109	37
7199	5	74	0	7	0
46660	20	259	7	12	5
17547	5	69	3	0	1
133368	36	535	54	37	16
95227	34	239	70	37	32
152601	48	438	36	46	24
98146	40	459	37	15	17
79619	43	426	123	42	11
59194	31	288	247	7	24
139942	42	498	46	54	22
118612	46	454	72	54	12
72880	33	376	41	14	19
65475	18	225	24	16	13
99643	55	555	45	33	17
71965	35	252	33	32	15
77272	59	208	27	21	16
49289	19	130	36	15	24
135131	66	481	87	38	15
108446	60	389	90	22	17
89746	36	565	114	28	18
44296	25	173	31	10	20
77648	47	278	45	31	16
181528	54	609	69	32	16
134019	53	422	51	32	18
124064	40	445	34	43	22
92630	40	387	60	27	8
121848	39	339	45	37	17
52915	14	181	54	20	18
81872	45	245	25	32	16
58981	36	384	38	0	23
53515	28	212	52	5	22
60812	44	399	67	26	13
56375	30	229	74	10	13
65490	22	224	38	27	16
80949	17	203	30	11	16
76302	31	333	26	29	20
104011	55	384	67	25	22
98104	54	636	132	55	17
67989	21	185	42	23	18
30989	14	93	35	5	17
135458	81	581	118	43	12
73504	35	248	68	23	7
63123	43	304	43	34	17
61254	46	344	76	36	14
74914	30	407	64	35	23
31774	23	170	48	0	17
81437	38	312	64	37	14
87186	54	507	56	28	15
50090	20	224	71	16	17
65745	53	340	75	26	21
56653	45	168	39	38	18
158399	39	443	42	23	18
46455	20	204	39	22	17
73624	24	367	93	30	17
38395	31	210	38	16	16
91899	35	335	60	18	15
139526	151	364	71	28	21
52164	52	178	52	32	16
51567	30	206	27	21	14
70551	31	279	59	23	15
84856	29	387	40	29	17
102538	57	490	79	50	15
86678	40	238	44	12	15
85709	44	343	65	21	10
34662	25	232	10	18	6
150580	77	530	124	27	22
99611	35	291	81	41	21
19349	11	67	15	13	1
99373	63	397	92	12	18
86230	44	467	42	21	17
30837	19	178	10	8	4
31706	13	175	24	26	10
89806	42	299	64	27	16
62088	38	154	45	13	16
40151	29	106	22	16	9
27634	20	189	56	2	16
76990	27	194	94	42	17
37460	20	135	19	5	7
54157	19	201	35	37	15
49862	37	207	32	17	14
84337	26	280	35	38	14
64175	42	260	48	37	18
59382	49	227	49	29	12
119308	30	239	48	32	16
76702	49	333	62	35	21
103425	67	428	96	17	19
70344	28	230	45	20	16
43410	19	292	63	7	1
104838	49	350	71	46	16
62215	27	186	26	24	10
69304	30	326	48	40	19
53117	22	155	29	3	12
19764	12	75	19	10	2
86680	31	361	45	37	14
84105	20	261	45	17	17
77945	20	299	67	28	19
89113	39	300	30	19	14
91005	29	450	36	29	11
40248	16	183	34	8	4
64187	27	238	36	10	16
50857	21	165	34	15	20
56613	19	234	37	15	12
62792	35	176	46	28	15
72535	14	329	44	17	16

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	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154252&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154252&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154252&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Correlations for all pairs of data series (method=pearson)
	TIRFC	NOL	CVI	CVPR	BC	CR
TIRFC	1	0.716	0.893	0.39	0.831	0.758
NOL	0.716	1	0.692	0.388	0.566	0.549
CVI	0.893	0.692	1	0.519	0.749	0.638
CVPR	0.39	0.388	0.519	1	0.229	0.263
BC	0.831	0.566	0.749	0.229	1	0.762
CR	0.758	0.549	0.638	0.263	0.762	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & TIRFC & NOL & CVI & CVPR & BC & CR \tabularnewline
TIRFC & 1 & 0.716 & 0.893 & 0.39 & 0.831 & 0.758 \tabularnewline
NOL & 0.716 & 1 & 0.692 & 0.388 & 0.566 & 0.549 \tabularnewline
CVI & 0.893 & 0.692 & 1 & 0.519 & 0.749 & 0.638 \tabularnewline
CVPR & 0.39 & 0.388 & 0.519 & 1 & 0.229 & 0.263 \tabularnewline
BC & 0.831 & 0.566 & 0.749 & 0.229 & 1 & 0.762 \tabularnewline
CR & 0.758 & 0.549 & 0.638 & 0.263 & 0.762 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154252&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]TIRFC[/C][C]NOL[/C][C]CVI[/C][C]CVPR[/C][C]BC[/C][C]CR[/C][/ROW]
[ROW][C]TIRFC[/C][C]1[/C][C]0.716[/C][C]0.893[/C][C]0.39[/C][C]0.831[/C][C]0.758[/C][/ROW]
[ROW][C]NOL[/C][C]0.716[/C][C]1[/C][C]0.692[/C][C]0.388[/C][C]0.566[/C][C]0.549[/C][/ROW]
[ROW][C]CVI[/C][C]0.893[/C][C]0.692[/C][C]1[/C][C]0.519[/C][C]0.749[/C][C]0.638[/C][/ROW]
[ROW][C]CVPR[/C][C]0.39[/C][C]0.388[/C][C]0.519[/C][C]1[/C][C]0.229[/C][C]0.263[/C][/ROW]
[ROW][C]BC[/C][C]0.831[/C][C]0.566[/C][C]0.749[/C][C]0.229[/C][C]1[/C][C]0.762[/C][/ROW]
[ROW][C]CR[/C][C]0.758[/C][C]0.549[/C][C]0.638[/C][C]0.263[/C][C]0.762[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154252&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154252&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)
	TIRFC	NOL	CVI	CVPR	BC	CR
TIRFC	1	0.716	0.893	0.39	0.831	0.758
NOL	0.716	1	0.692	0.388	0.566	0.549
CVI	0.893	0.692	1	0.519	0.749	0.638
CVPR	0.39	0.388	0.519	1	0.229	0.263
BC	0.831	0.566	0.749	0.229	1	0.762
CR	0.758	0.549	0.638	0.263	0.762	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
TIRFC;NOL	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
TIRFC;CVI	0.8925	0.8995	0.726
p-value	(0)	(0)	(0)
TIRFC;CVPR	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
TIRFC;BC	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
TIRFC;CR	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
NOL;CVI	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
NOL;CVPR	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
NOL;BC	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
NOL;CR	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
CVI;CVPR	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)
CVI;BC	0.7489	0.8051	0.6045
p-value	(0)	(0)	(0)
CVI;CR	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
CVPR;BC	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
CVPR;CR	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
BC;CR	0.7623	0.7722	0.574
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
TIRFC;NOL & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TIRFC;CVI & 0.8925 & 0.8995 & 0.726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TIRFC;CVPR & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TIRFC;BC & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TIRFC;CR & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NOL;CVI & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NOL;CVPR & 0.3882 & 0.5226 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NOL;BC & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NOL;CR & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CVI;CVPR & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CVI;BC & 0.7489 & 0.8051 & 0.6045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CVI;CR & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CVPR;BC & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
CVPR;CR & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BC;CR & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154252&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]TIRFC;NOL[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TIRFC;CVI[/C][C]0.8925[/C][C]0.8995[/C][C]0.726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TIRFC;CVPR[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TIRFC;BC[/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]TIRFC;CR[/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]NOL;CVI[/C][C]0.6919[/C][C]0.8018[/C][C]0.6142[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NOL;CVPR[/C][C]0.3882[/C][C]0.5226[/C][C]0.3788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NOL;BC[/C][C]0.5661[/C][C]0.7178[/C][C]0.523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NOL;CR[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CVI;CVPR[/C][C]0.5186[/C][C]0.5849[/C][C]0.4206[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CVI;BC[/C][C]0.7489[/C][C]0.8051[/C][C]0.6045[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CVI;CR[/C][C]0.6377[/C][C]0.6987[/C][C]0.5025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CVPR;BC[/C][C]0.2289[/C][C]0.4173[/C][C]0.2892[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CVPR;CR[/C][C]0.2633[/C][C]0.3939[/C][C]0.2823[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BC;CR[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154252&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154252&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
TIRFC;NOL	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
TIRFC;CVI	0.8925	0.8995	0.726
p-value	(0)	(0)	(0)
TIRFC;CVPR	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
TIRFC;BC	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
TIRFC;CR	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
NOL;CVI	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
NOL;CVPR	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
NOL;BC	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
NOL;CR	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
CVI;CVPR	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)
CVI;BC	0.7489	0.8051	0.6045
p-value	(0)	(0)	(0)
CVI;CR	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
CVPR;BC	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
CVPR;CR	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
BC;CR	0.7623	0.7722	0.574
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