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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Thu, 22 Dec 2011 14:55:27 -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/22/t1324583776fwhccp3c8bpnlju.htm/, Retrieved Fri, 03 May 2024 13:17:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159930, Retrieved Fri, 03 May 2024 13:17:58 +0000

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Estimated Impact

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] [Paper: Hall of Fa...] [2011-12-22 19:51:56] [c6bc82f3e3d78f4e6e841dae94c52ed9]
-   P       [Kendall tau Correlation Matrix] [Paper: Hall of Fa...] [2011-12-22 19:55:27] [d7127d50f40450f0f3837a0965e389eb] [Current]
- RM D        [Multiple Regression] [Paper: Hall of Fa...] [2011-12-22 20:38:03] [c6bc82f3e3d78f4e6e841dae94c52ed9] 
- RM D        [Recursive Partitioning (Regression Trees)] [Paper: Hall of Fa...] [2011-12-22 21:25:07] [c6bc82f3e3d78f4e6e841dae94c52ed9] 
- R             [Recursive Partitioning (Regression Trees)] [Paper: Hall of Fa...] [2011-12-22 22:01:51] [c6bc82f3e3d78f4e6e841dae94c52ed9] 

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Dataseries X:

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Histogram

Boxplots

162687	48	21	82	73	20465	6200	23975	39	37
201906	58	20	80	56	33629	10265	85634	46	43
7215	0	0	0	0	1423	603	1929	0	0
159169	72	29	90	69	25629	8874	36294	54	54
257045	83	31	124	116	54002	20323	72255	93	86
538237	137	36	140	138	151036	26258	189748	198	181
191582	65	26	100	76	33287	10165	61834	42	42
211165	96	35	132	119	31172	8247	68167	59	59
177020	62	30	109	50	28113	8683	38462	49	46
330887	72	27	108	81	57803	16957	101219	83	77
122275	50	24	63	58	49830	8058	43270	49	49
203938	88	30	118	91	52143	20488	76183	83	79
119300	68	22	71	41	21055	7945	31476	39	37
220751	79	28	112	100	47007	13448	62157	93	92
174005	56	18	63	61	28735	5389	46261	31	31
156326	54	22	86	74	59147	6185	50063	29	28
145178	81	37	148	147	78950	24369	64483	104	103
90025	13	15	54	45	13497	70	2341	2	2
179935	80	34	134	110	46154	17327	48149	46	48
47066	19	18	57	41	53249	3878	12743	27	25
109572	33	15	59	37	10726	3149	18743	16	16
241285	99	30	113	84	83700	20517	97057	108	106
200429	38	25	96	67	40400	2570	17675	36	35
149513	59	34	96	69	33797	5162	33106	33	33
159763	54	21	78	58	36205	5299	53311	46	45
207078	63	21	80	60	30165	7233	42754	65	64
217028	66	25	93	88	58534	15657	59056	80	73
201536	90	31	109	75	44663	15329	101621	81	78
408684	75	31	115	98	92556	14881	118120	69	63
217892	61	20	79	67	40078	16318	79572	69	69
182286	61	28	103	84	34711	9556	42744	37	36
200604	72	22	71	62	31076	10462	65931	45	41
137978	53	17	66	35	74608	7192	38575	62	59
265732	135	25	100	74	58092	4362	28795	33	33
236546	73	25	100	93	42009	14349	94440	77	76
230761	54	31	121	87	36022	10881	38229	34	27
132807	54	14	51	39	23333	8022	31972	44	44
161703	46	35	119	101	53349	13073	40071	43	43
253254	83	34	136	135	92596	26641	132480	117	104
269329	106	22	84	76	49598	14426	62797	125	120
161273	44	34	136	118	44093	15604	40429	49	44
107181	27	23	84	76	84205	9184	45545	76	71
213097	73	24	92	65	63369	5989	57568	81	78
139667	71	26	103	97	60132	11270	39019	111	106
171124	44	23	85	70	37403	13958	53866	61	61
81407	23	35	106	63	24460	7162	38345	56	53
250921	78	24	96	96	46456	13275	50210	54	51
239807	60	31	124	112	66616	21224	80947	47	46
172743	73	30	106	82	41554	10615	43461	55	55
48188	12	22	82	39	22346	2102	14812	14	14
169355	104	23	87	69	30874	12396	37819	44	44
335398	95	27	97	93	68701	18717	102738	115	113
244729	57	30	107	76	35728	9724	54509	57	55
200137	67	33	126	117	29010	9863	62956	48	46
159913	44	12	43	31	23110	8374	55411	40	39
223936	53	26	96	65	38844	8030	50611	51	51
101694	26	26	100	78	27084	7509	26692	32	31
157258	67	23	91	87	35139	14146	60056	36	36
211586	36	38	136	85	57476	7768	25155	47	47
181076	56	32	128	119	33277	13823	42840	51	53
158024	55	22	87	68	31141	7230	39358	37	38
141491	54	22	74	60	61281	10170	47241	52	52
130108	61	26	96	67	25820	7573	49611	42	37
166420	27	28	102	94	23284	5753	41833	11	11
125440	58	33	122	100	35378	9791	48930	47	45
195043	76	36	144	135	74990	19365	110600	59	59
138708	93	25	90	71	29653	9422	52235	82	82
116552	59	25	97	78	64622	12310	53986	49	49
31970	5	21	78	42	4157	1283	4105	6	6
277661	58	19	72	42	29245	6372	59331	83	81
167284	47	14	53	16	50008	5413	47796	56	56
135926	88	30	120	86	52338	10837	38302	114	105
124014	53	24	66	48	13310	3394	14063	46	46
171518	81	39	150	131	92901	12964	54414	46	46
108980	35	32	117	91	10956	3495	9903	2	2
183471	102	28	123	102	34241	11580	53987	51	51
159966	71	29	114	91	75043	9970	88937	96	95
103640	29	21	75	46	21152	4911	21928	20	18
84971	34	31	114	60	42249	10138	29487	57	55
88882	54	26	94	69	42005	14697	35334	49	48
304603	49	29	116	95	41152	8464	57596	51	48
75101	30	23	86	17	14399	4204	29750	40	39
145043	57	25	90	61	28263	10226	41029	40	40
95827	54	22	87	55	17215	3456	12416	36	36
173931	38	26	99	55	48140	8895	51158	64	60
246034	63	33	132	124	62897	22557	79935	117	114
115367	58	24	96	73	22883	6900	26552	40	39
125839	49	24	91	73	41622	8620	25807	46	45
164078	46	21	77	67	40715	7820	50620	61	59
158931	51	28	104	66	65897	12112	61467	59	59
190348	90	28	100	77	76542	13178	65292	94	93
155226	45	25	94	83	37477	7028	55516	36	35
146159	28	15	60	55	53216	6616	42006	51	47
62641	26	13	46	27	40911	9570	26273	39	36
245267	52	36	135	115	57021	14612	90248	62	59
199841	96	27	99	85	73116	11219	61476	79	79
19349	13	1	2	0	3895	786	9604	14	14
247280	43	24	96	83	46609	11252	45108	45	42
164457	42	31	109	90	29351	9289	47232	43	41
72128	30	4	15	4	2325	593	3439	8	8
104253	59	21	68	60	31747	6562	30553	41	41
151090	73	27	102	74	32665	8208	24751	25	24
147990	40	26	93	55	19249	7488	34458	22	22
87448	36	12	46	24	15292	4574	24649	18	18
27676	2	16	59	17	5842	522	2342	3	1
170326	103	29	116	105	33994	12840	52739	54	53
132148	30	26	29	20	13018	1350	6245	6	6
95778	46	25	91	51	98177	10623	35381	50	49
109001	25	21	76	76	37941	5322	19595	33	33
158833	59	24	86	61	31032	7987	50848	54	50
150013	60	21	84	70	32683	10566	39443	63	64
89887	36	21	65	38	34545	1900	27023	56	53
3616	0	0	0	0	0	0	0	0	0
213786	51	23	84	81	27525	10698	61022	49	48
167411	79	33	114	78	66856	14884	63528	90	90
177948	30	32	132	76	28549	6852	34835	51	46
136061	43	23	92	89	38610	6873	37172	29	29
43410	7	1	3	3	2781	4	13	1	1
184277	80	29	109	87	41211	9188	62548	68	64
109873	32	20	81	55	22698	5141	31334	29	29
151230	84	33	121	73	41194	4260	20839	27	27
60493	3	12	48	32	32689	443	5084	4	4
19764	10	2	8	4	5752	2416	9927	10	10
177559	47	21	80	70	26757	9831	53229	47	47
154169	44	28	107	102	22527	5953	29877	44	44
164249	54	35	140	109	44810	9435	37310	53	51
11796	1	2	8	1	0	0	0	0	0
151322	46	18	56	39	100674	7642	50067	40	38
6836	0	1	4	0	0	0	0	0	0
174712	51	21	70	45	57786	6837	47708	57	57
40248	8	4	14	7	5444	775	6012	6	6
127628	38	29	104	86	28470	8191	27749	24	22
88837	21	26	89	52	61849	1661	47555	34	34
9056	0	4	12	1	2179	548	1336	10	10
97191	26	19	60	49	8019	3080	11017	16	16
149554	53	23	88	75	39644	13400	55184	93	93
111408	17	22	88	56	23494	8181	43485	28	22

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=159930&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=159930&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159930&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)
	TiRFC	NoBC	NoRC	FMPR	FMPR+	Noc	NoR	NoS	NoiH	NoiB
TiRFC	1	0.514	0.371	0.412	0.476	0.392	0.499	0.602	0.476	0.47
NoBC	0.514	1	0.384	0.411	0.452	0.38	0.527	0.521	0.508	0.519
NoRC	0.371	0.384	1	0.857	0.654	0.353	0.448	0.345	0.343	0.339
FMPR	0.412	0.411	0.857	1	0.725	0.375	0.484	0.379	0.36	0.355
FMPR+	0.476	0.452	0.654	0.725	1	0.401	0.549	0.449	0.384	0.383
Noc	0.392	0.38	0.353	0.375	0.401	1	0.504	0.493	0.522	0.522
NoR	0.499	0.527	0.448	0.484	0.549	0.504	1	0.623	0.574	0.575
NoS	0.602	0.521	0.345	0.379	0.449	0.493	0.623	1	0.599	0.593
NoiH	0.476	0.508	0.343	0.36	0.384	0.522	0.574	0.599	1	0.966
NoiB	0.47	0.519	0.339	0.355	0.383	0.522	0.575	0.593	0.966	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & TiRFC & NoBC & NoRC & FMPR & FMPR+ & Noc & NoR & NoS & NoiH & NoiB \tabularnewline
TiRFC & 1 & 0.514 & 0.371 & 0.412 & 0.476 & 0.392 & 0.499 & 0.602 & 0.476 & 0.47 \tabularnewline
NoBC & 0.514 & 1 & 0.384 & 0.411 & 0.452 & 0.38 & 0.527 & 0.521 & 0.508 & 0.519 \tabularnewline
NoRC & 0.371 & 0.384 & 1 & 0.857 & 0.654 & 0.353 & 0.448 & 0.345 & 0.343 & 0.339 \tabularnewline
FMPR & 0.412 & 0.411 & 0.857 & 1 & 0.725 & 0.375 & 0.484 & 0.379 & 0.36 & 0.355 \tabularnewline
FMPR+ & 0.476 & 0.452 & 0.654 & 0.725 & 1 & 0.401 & 0.549 & 0.449 & 0.384 & 0.383 \tabularnewline
Noc & 0.392 & 0.38 & 0.353 & 0.375 & 0.401 & 1 & 0.504 & 0.493 & 0.522 & 0.522 \tabularnewline
NoR & 0.499 & 0.527 & 0.448 & 0.484 & 0.549 & 0.504 & 1 & 0.623 & 0.574 & 0.575 \tabularnewline
NoS & 0.602 & 0.521 & 0.345 & 0.379 & 0.449 & 0.493 & 0.623 & 1 & 0.599 & 0.593 \tabularnewline
NoiH & 0.476 & 0.508 & 0.343 & 0.36 & 0.384 & 0.522 & 0.574 & 0.599 & 1 & 0.966 \tabularnewline
NoiB & 0.47 & 0.519 & 0.339 & 0.355 & 0.383 & 0.522 & 0.575 & 0.593 & 0.966 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159930&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]TiRFC[/C][C]NoBC[/C][C]NoRC[/C][C]FMPR[/C][C]FMPR+[/C][C]Noc[/C][C]NoR[/C][C]NoS[/C][C]NoiH[/C][C]NoiB[/C][/ROW]
[ROW][C]TiRFC[/C][C]1[/C][C]0.514[/C][C]0.371[/C][C]0.412[/C][C]0.476[/C][C]0.392[/C][C]0.499[/C][C]0.602[/C][C]0.476[/C][C]0.47[/C][/ROW]
[ROW][C]NoBC[/C][C]0.514[/C][C]1[/C][C]0.384[/C][C]0.411[/C][C]0.452[/C][C]0.38[/C][C]0.527[/C][C]0.521[/C][C]0.508[/C][C]0.519[/C][/ROW]
[ROW][C]NoRC[/C][C]0.371[/C][C]0.384[/C][C]1[/C][C]0.857[/C][C]0.654[/C][C]0.353[/C][C]0.448[/C][C]0.345[/C][C]0.343[/C][C]0.339[/C][/ROW]
[ROW][C]FMPR[/C][C]0.412[/C][C]0.411[/C][C]0.857[/C][C]1[/C][C]0.725[/C][C]0.375[/C][C]0.484[/C][C]0.379[/C][C]0.36[/C][C]0.355[/C][/ROW]
[ROW][C]FMPR+[/C][C]0.476[/C][C]0.452[/C][C]0.654[/C][C]0.725[/C][C]1[/C][C]0.401[/C][C]0.549[/C][C]0.449[/C][C]0.384[/C][C]0.383[/C][/ROW]
[ROW][C]Noc[/C][C]0.392[/C][C]0.38[/C][C]0.353[/C][C]0.375[/C][C]0.401[/C][C]1[/C][C]0.504[/C][C]0.493[/C][C]0.522[/C][C]0.522[/C][/ROW]
[ROW][C]NoR[/C][C]0.499[/C][C]0.527[/C][C]0.448[/C][C]0.484[/C][C]0.549[/C][C]0.504[/C][C]1[/C][C]0.623[/C][C]0.574[/C][C]0.575[/C][/ROW]
[ROW][C]NoS[/C][C]0.602[/C][C]0.521[/C][C]0.345[/C][C]0.379[/C][C]0.449[/C][C]0.493[/C][C]0.623[/C][C]1[/C][C]0.599[/C][C]0.593[/C][/ROW]
[ROW][C]NoiH[/C][C]0.476[/C][C]0.508[/C][C]0.343[/C][C]0.36[/C][C]0.384[/C][C]0.522[/C][C]0.574[/C][C]0.599[/C][C]1[/C][C]0.966[/C][/ROW]
[ROW][C]NoiB[/C][C]0.47[/C][C]0.519[/C][C]0.339[/C][C]0.355[/C][C]0.383[/C][C]0.522[/C][C]0.575[/C][C]0.593[/C][C]0.966[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159930&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159930&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)
	TiRFC	NoBC	NoRC	FMPR	FMPR+	Noc	NoR	NoS	NoiH	NoiB
TiRFC	1	0.514	0.371	0.412	0.476	0.392	0.499	0.602	0.476	0.47
NoBC	0.514	1	0.384	0.411	0.452	0.38	0.527	0.521	0.508	0.519
NoRC	0.371	0.384	1	0.857	0.654	0.353	0.448	0.345	0.343	0.339
FMPR	0.412	0.411	0.857	1	0.725	0.375	0.484	0.379	0.36	0.355
FMPR+	0.476	0.452	0.654	0.725	1	0.401	0.549	0.449	0.384	0.383
Noc	0.392	0.38	0.353	0.375	0.401	1	0.504	0.493	0.522	0.522
NoR	0.499	0.527	0.448	0.484	0.549	0.504	1	0.623	0.574	0.575
NoS	0.602	0.521	0.345	0.379	0.449	0.493	0.623	1	0.599	0.593
NoiH	0.476	0.508	0.343	0.36	0.384	0.522	0.574	0.599	1	0.966
NoiB	0.47	0.519	0.339	0.355	0.383	0.522	0.575	0.593	0.966	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
TiRFC;NoBC	0.7303	0.69	0.5138
p-value	(0)	(0)	(0)
TiRFC;NoRC	0.5861	0.5113	0.3705
p-value	(0)	(0)	(0)
TiRFC;FMPR	0.6168	0.579	0.4119
p-value	(0)	(0)	(0)
TiRFC;FMPR+	0.6646	0.6466	0.4761
p-value	(0)	(0)	(0)
TiRFC;Noc	0.6219	0.5346	0.392
p-value	(0)	(0)	(0)
TiRFC;NoR	0.6904	0.665	0.4989
p-value	(0)	(0)	(0)
TiRFC;NoS	0.8255	0.7789	0.6022
p-value	(0)	(0)	(0)
TiRFC;NoiH	0.7063	0.6402	0.4761
p-value	(0)	(0)	(0)
TiRFC;NoiB	0.6967	0.6326	0.4703
p-value	(0)	(0)	(0)
NoBC;NoRC	0.5987	0.529	0.3841
p-value	(0)	(0)	(0)
NoBC;FMPR	0.6249	0.5693	0.4113
p-value	(0)	(0)	(0)
NoBC;FMPR+	0.659	0.6162	0.4516
p-value	(0)	(0)	(0)
NoBC;Noc	0.5736	0.5278	0.3798
p-value	(0)	(0)	(0)
NoBC;NoR	0.6887	0.7023	0.5269
p-value	(0)	(0)	(0)
NoBC;NoS	0.686	0.6933	0.521
p-value	(0)	(0)	(0)
NoBC;NoiH	0.719	0.6707	0.5076
p-value	(0)	(0)	(0)
NoBC;NoiB	0.7281	0.6835	0.5195
p-value	(0)	(0)	(0)
NoRC;FMPR	0.96	0.9523	0.8569
p-value	(0)	(0)	(0)
NoRC;FMPR+	0.8619	0.8115	0.6537
p-value	(0)	(0)	(0)
NoRC;Noc	0.5365	0.4801	0.3529
p-value	(0)	(0)	(0)
NoRC;NoR	0.6319	0.6059	0.4478
p-value	(0)	(0)	(0)
NoRC;NoS	0.5435	0.4732	0.345
p-value	(0)	(0)	(0)
NoRC;NoiH	0.5221	0.473	0.3433
p-value	(0)	(0)	(0)
NoRC;NoiB	0.5238	0.4693	0.3391
p-value	(0)	(0)	(0)
FMPR;FMPR+	0.9151	0.8821	0.7253
p-value	(0)	(0)	(0)
FMPR;Noc	0.5558	0.5143	0.3747
p-value	(0)	(0)	(0)
FMPR;NoR	0.6898	0.6608	0.4841
p-value	(0)	(0)	(0)
FMPR;NoS	0.5874	0.5256	0.3788
p-value	(0)	(0)	(0)
FMPR;NoiH	0.558	0.5052	0.3604
p-value	(0)	(0)	(0)
FMPR;NoiB	0.5579	0.4987	0.3549
p-value	(0)	(0)	(0)
FMPR+;Noc	0.5786	0.5387	0.4006
p-value	(0)	(0)	(0)
FMPR+;NoR	0.771	0.7326	0.5493
p-value	(0)	(0)	(0)
FMPR+;NoS	0.656	0.6157	0.4487
p-value	(0)	(0)	(0)
FMPR+;NoiH	0.5949	0.5277	0.3836
p-value	(0)	(0)	(0)
FMPR+;NoiB	0.5958	0.529	0.3832
p-value	(0)	(0)	(0)
Noc;NoR	0.6856	0.6615	0.5039
p-value	(0)	(0)	(0)
Noc;NoS	0.7257	0.6537	0.493
p-value	(0)	(0)	(0)
Noc;NoiH	0.727	0.6957	0.522
p-value	(0)	(0)	(0)
Noc;NoiB	0.7213	0.6957	0.5218
p-value	(0)	(0)	(0)
NoR;NoS	0.8275	0.793	0.6227
p-value	(0)	(0)	(0)
NoR;NoiH	0.7814	0.748	0.5743
p-value	(0)	(0)	(0)
NoR;NoiB	0.7793	0.7486	0.5754
p-value	(0)	(0)	(0)
NoS;NoiH	0.7973	0.7733	0.5988
p-value	(0)	(0)	(0)
NoS;NoiB	0.7888	0.7678	0.5927
p-value	(0)	(0)	(0)
NoiH;NoiB	0.9974	0.9962	0.9662
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;NoBC & 0.7303 & 0.69 & 0.5138 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;NoRC & 0.5861 & 0.5113 & 0.3705 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;FMPR & 0.6168 & 0.579 & 0.4119 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;FMPR+ & 0.6646 & 0.6466 & 0.4761 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;Noc & 0.6219 & 0.5346 & 0.392 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;NoR & 0.6904 & 0.665 & 0.4989 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;NoS & 0.8255 & 0.7789 & 0.6022 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;NoiH & 0.7063 & 0.6402 & 0.4761 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TiRFC;NoiB & 0.6967 & 0.6326 & 0.4703 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;NoRC & 0.5987 & 0.529 & 0.3841 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;FMPR & 0.6249 & 0.5693 & 0.4113 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;FMPR+ & 0.659 & 0.6162 & 0.4516 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;Noc & 0.5736 & 0.5278 & 0.3798 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;NoR & 0.6887 & 0.7023 & 0.5269 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;NoS & 0.686 & 0.6933 & 0.521 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;NoiH & 0.719 & 0.6707 & 0.5076 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoBC;NoiB & 0.7281 & 0.6835 & 0.5195 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;FMPR & 0.96 & 0.9523 & 0.8569 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;FMPR+ & 0.8619 & 0.8115 & 0.6537 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;Noc & 0.5365 & 0.4801 & 0.3529 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;NoR & 0.6319 & 0.6059 & 0.4478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;NoS & 0.5435 & 0.4732 & 0.345 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;NoiH & 0.5221 & 0.473 & 0.3433 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoRC;NoiB & 0.5238 & 0.4693 & 0.3391 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR;FMPR+ & 0.9151 & 0.8821 & 0.7253 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR;Noc & 0.5558 & 0.5143 & 0.3747 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR;NoR & 0.6898 & 0.6608 & 0.4841 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR;NoS & 0.5874 & 0.5256 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR;NoiH & 0.558 & 0.5052 & 0.3604 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR;NoiB & 0.5579 & 0.4987 & 0.3549 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR+;Noc & 0.5786 & 0.5387 & 0.4006 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR+;NoR & 0.771 & 0.7326 & 0.5493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR+;NoS & 0.656 & 0.6157 & 0.4487 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR+;NoiH & 0.5949 & 0.5277 & 0.3836 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
FMPR+;NoiB & 0.5958 & 0.529 & 0.3832 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Noc;NoR & 0.6856 & 0.6615 & 0.5039 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Noc;NoS & 0.7257 & 0.6537 & 0.493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Noc;NoiH & 0.727 & 0.6957 & 0.522 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Noc;NoiB & 0.7213 & 0.6957 & 0.5218 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoR;NoS & 0.8275 & 0.793 & 0.6227 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoR;NoiH & 0.7814 & 0.748 & 0.5743 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoR;NoiB & 0.7793 & 0.7486 & 0.5754 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoS;NoiH & 0.7973 & 0.7733 & 0.5988 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoS;NoiB & 0.7888 & 0.7678 & 0.5927 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NoiH;NoiB & 0.9974 & 0.9962 & 0.9662 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159930&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;NoBC[/C][C]0.7303[/C][C]0.69[/C][C]0.5138[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;NoRC[/C][C]0.5861[/C][C]0.5113[/C][C]0.3705[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;FMPR[/C][C]0.6168[/C][C]0.579[/C][C]0.4119[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;FMPR+[/C][C]0.6646[/C][C]0.6466[/C][C]0.4761[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;Noc[/C][C]0.6219[/C][C]0.5346[/C][C]0.392[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;NoR[/C][C]0.6904[/C][C]0.665[/C][C]0.4989[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;NoS[/C][C]0.8255[/C][C]0.7789[/C][C]0.6022[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;NoiH[/C][C]0.7063[/C][C]0.6402[/C][C]0.4761[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TiRFC;NoiB[/C][C]0.6967[/C][C]0.6326[/C][C]0.4703[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;NoRC[/C][C]0.5987[/C][C]0.529[/C][C]0.3841[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;FMPR[/C][C]0.6249[/C][C]0.5693[/C][C]0.4113[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;FMPR+[/C][C]0.659[/C][C]0.6162[/C][C]0.4516[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;Noc[/C][C]0.5736[/C][C]0.5278[/C][C]0.3798[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;NoR[/C][C]0.6887[/C][C]0.7023[/C][C]0.5269[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;NoS[/C][C]0.686[/C][C]0.6933[/C][C]0.521[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;NoiH[/C][C]0.719[/C][C]0.6707[/C][C]0.5076[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoBC;NoiB[/C][C]0.7281[/C][C]0.6835[/C][C]0.5195[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;FMPR[/C][C]0.96[/C][C]0.9523[/C][C]0.8569[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;FMPR+[/C][C]0.8619[/C][C]0.8115[/C][C]0.6537[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;Noc[/C][C]0.5365[/C][C]0.4801[/C][C]0.3529[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;NoR[/C][C]0.6319[/C][C]0.6059[/C][C]0.4478[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;NoS[/C][C]0.5435[/C][C]0.4732[/C][C]0.345[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;NoiH[/C][C]0.5221[/C][C]0.473[/C][C]0.3433[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoRC;NoiB[/C][C]0.5238[/C][C]0.4693[/C][C]0.3391[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR;FMPR+[/C][C]0.9151[/C][C]0.8821[/C][C]0.7253[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR;Noc[/C][C]0.5558[/C][C]0.5143[/C][C]0.3747[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR;NoR[/C][C]0.6898[/C][C]0.6608[/C][C]0.4841[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR;NoS[/C][C]0.5874[/C][C]0.5256[/C][C]0.3788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR;NoiH[/C][C]0.558[/C][C]0.5052[/C][C]0.3604[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR;NoiB[/C][C]0.5579[/C][C]0.4987[/C][C]0.3549[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR+;Noc[/C][C]0.5786[/C][C]0.5387[/C][C]0.4006[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR+;NoR[/C][C]0.771[/C][C]0.7326[/C][C]0.5493[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR+;NoS[/C][C]0.656[/C][C]0.6157[/C][C]0.4487[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR+;NoiH[/C][C]0.5949[/C][C]0.5277[/C][C]0.3836[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]FMPR+;NoiB[/C][C]0.5958[/C][C]0.529[/C][C]0.3832[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Noc;NoR[/C][C]0.6856[/C][C]0.6615[/C][C]0.5039[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Noc;NoS[/C][C]0.7257[/C][C]0.6537[/C][C]0.493[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Noc;NoiH[/C][C]0.727[/C][C]0.6957[/C][C]0.522[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Noc;NoiB[/C][C]0.7213[/C][C]0.6957[/C][C]0.5218[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoR;NoS[/C][C]0.8275[/C][C]0.793[/C][C]0.6227[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoR;NoiH[/C][C]0.7814[/C][C]0.748[/C][C]0.5743[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoR;NoiB[/C][C]0.7793[/C][C]0.7486[/C][C]0.5754[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoS;NoiH[/C][C]0.7973[/C][C]0.7733[/C][C]0.5988[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoS;NoiB[/C][C]0.7888[/C][C]0.7678[/C][C]0.5927[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NoiH;NoiB[/C][C]0.9974[/C][C]0.9962[/C][C]0.9662[/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=159930&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159930&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;NoBC	0.7303	0.69	0.5138
p-value	(0)	(0)	(0)
TiRFC;NoRC	0.5861	0.5113	0.3705
p-value	(0)	(0)	(0)
TiRFC;FMPR	0.6168	0.579	0.4119
p-value	(0)	(0)	(0)
TiRFC;FMPR+	0.6646	0.6466	0.4761
p-value	(0)	(0)	(0)
TiRFC;Noc	0.6219	0.5346	0.392
p-value	(0)	(0)	(0)
TiRFC;NoR	0.6904	0.665	0.4989
p-value	(0)	(0)	(0)
TiRFC;NoS	0.8255	0.7789	0.6022
p-value	(0)	(0)	(0)
TiRFC;NoiH	0.7063	0.6402	0.4761
p-value	(0)	(0)	(0)
TiRFC;NoiB	0.6967	0.6326	0.4703
p-value	(0)	(0)	(0)
NoBC;NoRC	0.5987	0.529	0.3841
p-value	(0)	(0)	(0)
NoBC;FMPR	0.6249	0.5693	0.4113
p-value	(0)	(0)	(0)
NoBC;FMPR+	0.659	0.6162	0.4516
p-value	(0)	(0)	(0)
NoBC;Noc	0.5736	0.5278	0.3798
p-value	(0)	(0)	(0)
NoBC;NoR	0.6887	0.7023	0.5269
p-value	(0)	(0)	(0)
NoBC;NoS	0.686	0.6933	0.521
p-value	(0)	(0)	(0)
NoBC;NoiH	0.719	0.6707	0.5076
p-value	(0)	(0)	(0)
NoBC;NoiB	0.7281	0.6835	0.5195
p-value	(0)	(0)	(0)
NoRC;FMPR	0.96	0.9523	0.8569
p-value	(0)	(0)	(0)
NoRC;FMPR+	0.8619	0.8115	0.6537
p-value	(0)	(0)	(0)
NoRC;Noc	0.5365	0.4801	0.3529
p-value	(0)	(0)	(0)
NoRC;NoR	0.6319	0.6059	0.4478
p-value	(0)	(0)	(0)
NoRC;NoS	0.5435	0.4732	0.345
p-value	(0)	(0)	(0)
NoRC;NoiH	0.5221	0.473	0.3433
p-value	(0)	(0)	(0)
NoRC;NoiB	0.5238	0.4693	0.3391
p-value	(0)	(0)	(0)
FMPR;FMPR+	0.9151	0.8821	0.7253
p-value	(0)	(0)	(0)
FMPR;Noc	0.5558	0.5143	0.3747
p-value	(0)	(0)	(0)
FMPR;NoR	0.6898	0.6608	0.4841
p-value	(0)	(0)	(0)
FMPR;NoS	0.5874	0.5256	0.3788
p-value	(0)	(0)	(0)
FMPR;NoiH	0.558	0.5052	0.3604
p-value	(0)	(0)	(0)
FMPR;NoiB	0.5579	0.4987	0.3549
p-value	(0)	(0)	(0)
FMPR+;Noc	0.5786	0.5387	0.4006
p-value	(0)	(0)	(0)
FMPR+;NoR	0.771	0.7326	0.5493
p-value	(0)	(0)	(0)
FMPR+;NoS	0.656	0.6157	0.4487
p-value	(0)	(0)	(0)
FMPR+;NoiH	0.5949	0.5277	0.3836
p-value	(0)	(0)	(0)
FMPR+;NoiB	0.5958	0.529	0.3832
p-value	(0)	(0)	(0)
Noc;NoR	0.6856	0.6615	0.5039
p-value	(0)	(0)	(0)
Noc;NoS	0.7257	0.6537	0.493
p-value	(0)	(0)	(0)
Noc;NoiH	0.727	0.6957	0.522
p-value	(0)	(0)	(0)
Noc;NoiB	0.7213	0.6957	0.5218
p-value	(0)	(0)	(0)
NoR;NoS	0.8275	0.793	0.6227
p-value	(0)	(0)	(0)
NoR;NoiH	0.7814	0.748	0.5743
p-value	(0)	(0)	(0)
NoR;NoiB	0.7793	0.7486	0.5754
p-value	(0)	(0)	(0)
NoS;NoiH	0.7973	0.7733	0.5988
p-value	(0)	(0)	(0)
NoS;NoiB	0.7888	0.7678	0.5927
p-value	(0)	(0)	(0)
NoiH;NoiB	0.9974	0.9962	0.9662
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