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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 08:04:45 -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/t1324559167qoph8kdo9182w1q.htm/, Retrieved Fri, 03 May 2024 11:50:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159405, Retrieved Fri, 03 May 2024 11:50:31 +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] [] [2011-12-21 14:12:22] [247ecd499838c320214983d11495b1c2]
- R  D    [Kendall tau Correlation Matrix] [Pearson correlati...] [2011-12-22 13:04:45] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [Kendall tau Correlation Matrix] [Kendall Tau corre...] [2011-12-22 13:12:31] [74be16979710d4c4e7c6647856088456] 
- RMP       [Multiple Regression] [multiple regressi...] [2011-12-22 13:16:10] [baac05fe722f73c103cc2d713fa5bd78] 
- RMP       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-22 13:51:44] [baac05fe722f73c103cc2d713fa5bd78] 
- R P         [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-22 14:08:50] [baac05fe722f73c103cc2d713fa5bd78] 
-               [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-22 14:11:35] [baac05fe722f73c103cc2d713fa5bd78] 
-   P             [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-22 15:32:38] [74be16979710d4c4e7c6647856088456] 
-   P               [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-22 18:08:00] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

1845	162687	48	21	73	20465	23975
1796	201906	58	20	56	33629	85634
192	7215	0	0	0	1423	1929
2444	146367	67	27	63	25629	36294
3567	257045	83	31	116	54002	72255
6917	524450	136	36	138	151036	189748
1840	188294	65	23	71	33287	61834
1740	195674	86	30	107	31172	68167
2078	177020	62	30	50	28113	38462
3118	330194	72	27	81	57803	101219
1946	121844	50	24	58	49830	43270
2370	203938	88	30	91	52143	76183
1944	113213	61	22	41	21055	31476
3198	220751	79	28	100	47007	62157
1491	172905	56	18	61	28735	46261
1573	156326	54	22	74	59147	50063
1807	145178	81	37	147	78950	64483
1309	89171	13	15	45	13497	2341
2820	172624	74	34	110	46154	48149
776	39790	18	18	41	53249	12743
1162	87927	31	15	37	10726	18743
2818	241285	99	30	84	83700	97057
1770	198587	38	25	67	40400	17675
2315	146946	59	34	69	33797	33106
1994	159763	54	21	58	36205	53311
1806	207078	63	21	60	30165	42754
2152	212394	66	25	88	58534	59056
1457	201536	90	31	75	44663	101621
3000	394662	72	31	98	92556	118120
2236	217892	61	20	67	40078	79572
1685	182286	61	28	84	34711	42744
1626	181740	61	22	62	31076	65931
2257	137978	53	17	35	74608	38575
3373	255929	118	25	74	58092	28795
2571	236489	73	25	93	42009	94440
1	0	0	0	0	0	0
2142	230761	54	31	87	36022	38229
1878	132807	54	14	39	23333	31972
2190	157118	46	35	101	53349	40071
2186	253254	83	34	135	92596	132480
2533	269329	106	22	76	49598	62797
1823	161273	44	34	118	44093	40429
1095	107181	27	23	76	84205	45545
2162	195891	64	24	65	63369	57568
1365	139667	71	26	97	60132	39019
1245	171101	44	23	70	37403	53866
756	81407	23	35	63	24460	38345
2417	247563	78	24	96	46456	50210
2327	239807	60	31	112	66616	80947
2786	172743	73	30	82	41554	43461
658	48188	12	22	39	22346	14812
2012	169355	104	23	69	30874	37819
2616	325322	86	27	93	68701	102738
2071	241518	57	30	76	35728	54509
1911	195583	67	33	117	29010	62956
1775	159913	44	12	31	23110	55411
1919	220241	53	26	65	38844	50611
1047	101694	26	26	78	27084	26692
1190	157258	67	23	87	35139	60056
2890	202536	36	38	85	57476	25155
1836	173505	56	32	119	33277	42840
2254	150518	52	21	65	31141	39358
1392	141491	54	22	60	61281	47241
1326	125612	57	26	67	25820	49611
1317	166049	27	28	94	23284	41833
1525	124197	58	33	100	35378	48930
2335	195043	76	36	135	74990	110600
2897	138708	93	25	71	29653	52235
1118	116552	59	25	78	64622	53986
340	31970	5	21	42	4157	4105
2977	258158	57	19	42	29245	59331
1452	151194	42	12	8	50008	47796
1550	135926	88	30	86	52338	38302
1685	119629	53	21	41	13310	14063
2728	171518	81	39	131	92901	54414
1574	108949	35	32	91	10956	9903
2413	183471	102	28	102	34241	53987
2563	159966	71	29	91	75043	88937
1079	93786	28	21	46	21152	21928
1235	84971	34	31	60	42249	29487
980	88882	54	26	69	42005	35334
2246	304603	49	29	95	41152	57596
1076	75101	30	23	17	14399	29750
1637	145043	57	25	61	28263	41029
1208	95827	54	22	55	17215	12416
1865	173924	38	26	55	48140	51158
2726	241957	63	33	124	62897	79935
1208	115367	58	24	73	22883	26552
1419	118408	46	24	73	41622	25807
1609	164078	46	21	67	40715	50620
1864	158931	51	28	66	65897	61467
2412	184139	87	28	77	76542	65292
1238	152856	39	25	83	37477	55516
1463	144014	28	15	55	53216	42006
973	62535	26	13	27	40911	26273
2319	245196	52	36	115	57021	90248
1890	199841	96	27	85	73116	61476
223	19349	13	1	0	3895	9604
2526	247280	43	24	83	46609	45108
2072	159408	42	31	90	29351	47232
778	72128	30	4	4	2325	3439
1194	104253	59	21	60	31747	30553
1424	151090	73	27	74	32665	24751
1328	137382	39	23	52	19249	34458
839	87448	36	12	24	15292	24649
596	27676	2	16	17	5842	2342
1671	165507	102	29	105	33994	52739
1168	132148	30	26	20	13018	6245
0	0	0	0	0	0	0
1106	95778	46	25	51	98177	35381
1148	109001	25	21	76	37941	19595
1485	158833	59	24	61	31032	50848
1526	147690	60	21	70	32683	39443
962	89887	36	21	38	34545	27023
78	3616	0	0	0	0	0
0	0	0	0	0	0	0
1184	199005	45	23	81	27525	61022
1671	160930	79	33	78	66856	63528
2142	177948	30	32	76	28549	34835
1015	136061	43	23	89	38610	37172
778	43410	7	1	3	2781	13
1856	184277	80	29	87	41211	62548
1056	108858	32	20	55	22698	31334
2297	151030	84	33	73	41194	20839
731	60493	3	12	32	32689	5084
285	19764	10	2	4	5752	9927
1872	177559	47	21	70	26757	53229
1181	140281	35	28	102	22527	29877
1725	164249	54	35	109	44810	37310
256	11796	1	2	1	0	0
98	10674	0	0	0	0	0
1435	151322	46	18	39	100674	50067
41	6836	0	1	0	0	0
1930	174712	51	21	45	57786	47708
42	5118	5	0	0	0	0
528	40248	8	4	7	5444	6012
0	0	0	0	0	0	0
1121	127628	38	29	86	28470	27749
1305	88837	21	26	52	61849	47555
81	7131	0	0	0	0	0
262	9056	0	4	1	2179	1336
1100	87957	18	19	49	8019	11017
1290	144470	53	22	72	39644	55184
1248	111408	17	22	56	23494	43485

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	'AstonUniversity' @ aston.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159405&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159405&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	'AstonUniversity' @ aston.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Correlations for all pairs of data series (method=pearson)
	X1	Y	X2	X3	X4	X5	X6
X1	1	0.892	0.795	0.675	0.688	0.686	0.759
Y	0.892	1	0.774	0.672	0.726	0.679	0.85
X2	0.795	0.774	1	0.678	0.718	0.64	0.732
X3	0.675	0.672	0.678	1	0.888	0.616	0.609
X4	0.688	0.726	0.718	0.888	1	0.641	0.699
X5	0.686	0.679	0.64	0.616	0.641	1	0.756
X6	0.759	0.85	0.732	0.609	0.699	0.756	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & X1 & Y & X2 & X3 & X4 & X5 & X6
 \tabularnewline
X1 & 1 & 0.892 & 0.795 & 0.675 & 0.688 & 0.686 & 0.759 \tabularnewline
Y & 0.892 & 1 & 0.774 & 0.672 & 0.726 & 0.679 & 0.85 \tabularnewline
X2 & 0.795 & 0.774 & 1 & 0.678 & 0.718 & 0.64 & 0.732 \tabularnewline
X3 & 0.675 & 0.672 & 0.678 & 1 & 0.888 & 0.616 & 0.609 \tabularnewline
X4 & 0.688 & 0.726 & 0.718 & 0.888 & 1 & 0.641 & 0.699 \tabularnewline
X5 & 0.686 & 0.679 & 0.64 & 0.616 & 0.641 & 1 & 0.756 \tabularnewline
X6
 & 0.759 & 0.85 & 0.732 & 0.609 & 0.699 & 0.756 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159405&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]X1[/C][C]Y[/C][C]X2[/C][C]X3[/C][C]X4[/C][C]X5[/C][C]X6
[/C][/ROW]
[ROW][C]X1[/C][C]1[/C][C]0.892[/C][C]0.795[/C][C]0.675[/C][C]0.688[/C][C]0.686[/C][C]0.759[/C][/ROW]
[ROW][C]Y[/C][C]0.892[/C][C]1[/C][C]0.774[/C][C]0.672[/C][C]0.726[/C][C]0.679[/C][C]0.85[/C][/ROW]
[ROW][C]X2[/C][C]0.795[/C][C]0.774[/C][C]1[/C][C]0.678[/C][C]0.718[/C][C]0.64[/C][C]0.732[/C][/ROW]
[ROW][C]X3[/C][C]0.675[/C][C]0.672[/C][C]0.678[/C][C]1[/C][C]0.888[/C][C]0.616[/C][C]0.609[/C][/ROW]
[ROW][C]X4[/C][C]0.688[/C][C]0.726[/C][C]0.718[/C][C]0.888[/C][C]1[/C][C]0.641[/C][C]0.699[/C][/ROW]
[ROW][C]X5[/C][C]0.686[/C][C]0.679[/C][C]0.64[/C][C]0.616[/C][C]0.641[/C][C]1[/C][C]0.756[/C][/ROW]
[ROW][C]X6
[/C][C]0.759[/C][C]0.85[/C][C]0.732[/C][C]0.609[/C][C]0.699[/C][C]0.756[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159405&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159405&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)
	X1	Y	X2	X3	X4	X5	X6
X1	1	0.892	0.795	0.675	0.688	0.686	0.759
Y	0.892	1	0.774	0.672	0.726	0.679	0.85
X2	0.795	0.774	1	0.678	0.718	0.64	0.732
X3	0.675	0.672	0.678	1	0.888	0.616	0.609
X4	0.688	0.726	0.718	0.888	1	0.641	0.699
X5	0.686	0.679	0.64	0.616	0.641	1	0.756
X6	0.759	0.85	0.732	0.609	0.699	0.756	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
X1;Y	0.892	0.8569	0.6983
p-value	(0)	(0)	(0)
X1;X2	0.7947	0.7694	0.5934
p-value	(0)	(0)	(0)
X1;X3	0.6752	0.6175	0.459
p-value	(0)	(0)	(0)
X1;X4	0.6884	0.6428	0.4782
p-value	(0)	(0)	(0)
X1;X5	0.6856	0.6186	0.4598
p-value	(0)	(0)	(0)
X1;X6	0.7589	0.7007	0.5229
p-value	(0)	(0)	(0)
Y;X2	0.7744	0.7367	0.5589
p-value	(0)	(0)	(0)
Y;X3	0.6719	0.5823	0.4329
p-value	(0)	(0)	(0)
Y;X4	0.7263	0.6986	0.5286
p-value	(0)	(0)	(0)
Y;X5	0.6787	0.6097	0.4554
p-value	(0)	(0)	(0)
Y;X6	0.8498	0.8133	0.6433
p-value	(0)	(0)	(0)
X2;X3	0.6778	0.5957	0.4413
p-value	(0)	(0)	(0)
X2;X4	0.7185	0.6704	0.4985
p-value	(0)	(0)	(0)
X2;X5	0.6399	0.6014	0.4418
p-value	(0)	(0)	(0)
X2;X6	0.7325	0.7346	0.5621
p-value	(0)	(0)	(0)
X3;X4	0.8876	0.8426	0.6907
p-value	(0)	(0)	(0)
X3;X5	0.6163	0.5685	0.4267
p-value	(0)	(0)	(0)
X3;X6	0.6091	0.547	0.407
p-value	(0)	(0)	(0)
X4;X5	0.6406	0.6076	0.4601
p-value	(0)	(0)	(0)
X4;X6	0.6989	0.6662	0.4969
p-value	(0)	(0)	(0)
X5;X6	0.7563	0.7017	0.5394
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
X1;Y & 0.892 & 0.8569 & 0.6983 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X2 & 0.7947 & 0.7694 & 0.5934 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X3 & 0.6752 & 0.6175 & 0.459 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X4 & 0.6884 & 0.6428 & 0.4782 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X5 & 0.6856 & 0.6186 & 0.4598 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X6
 & 0.7589 & 0.7007 & 0.5229 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X2 & 0.7744 & 0.7367 & 0.5589 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X3 & 0.6719 & 0.5823 & 0.4329 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X4 & 0.7263 & 0.6986 & 0.5286 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X5 & 0.6787 & 0.6097 & 0.4554 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X6
 & 0.8498 & 0.8133 & 0.6433 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X3 & 0.6778 & 0.5957 & 0.4413 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X4 & 0.7185 & 0.6704 & 0.4985 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X5 & 0.6399 & 0.6014 & 0.4418 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X6
 & 0.7325 & 0.7346 & 0.5621 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X4 & 0.8876 & 0.8426 & 0.6907 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X5 & 0.6163 & 0.5685 & 0.4267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X6
 & 0.6091 & 0.547 & 0.407 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X5 & 0.6406 & 0.6076 & 0.4601 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X6
 & 0.6989 & 0.6662 & 0.4969 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X5;X6
 & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159405&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]X1;Y[/C][C]0.892[/C][C]0.8569[/C][C]0.6983[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X2[/C][C]0.7947[/C][C]0.7694[/C][C]0.5934[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X3[/C][C]0.6752[/C][C]0.6175[/C][C]0.459[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X4[/C][C]0.6884[/C][C]0.6428[/C][C]0.4782[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X5[/C][C]0.6856[/C][C]0.6186[/C][C]0.4598[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X6
[/C][C]0.7589[/C][C]0.7007[/C][C]0.5229[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X2[/C][C]0.7744[/C][C]0.7367[/C][C]0.5589[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X3[/C][C]0.6719[/C][C]0.5823[/C][C]0.4329[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X4[/C][C]0.7263[/C][C]0.6986[/C][C]0.5286[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X5[/C][C]0.6787[/C][C]0.6097[/C][C]0.4554[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X6
[/C][C]0.8498[/C][C]0.8133[/C][C]0.6433[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X3[/C][C]0.6778[/C][C]0.5957[/C][C]0.4413[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X4[/C][C]0.7185[/C][C]0.6704[/C][C]0.4985[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X5[/C][C]0.6399[/C][C]0.6014[/C][C]0.4418[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X6
[/C][C]0.7325[/C][C]0.7346[/C][C]0.5621[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X4[/C][C]0.8876[/C][C]0.8426[/C][C]0.6907[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X5[/C][C]0.6163[/C][C]0.5685[/C][C]0.4267[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X6
[/C][C]0.6091[/C][C]0.547[/C][C]0.407[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X5[/C][C]0.6406[/C][C]0.6076[/C][C]0.4601[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X6
[/C][C]0.6989[/C][C]0.6662[/C][C]0.4969[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X5;X6
[/C][C]0.7563[/C][C]0.7017[/C][C]0.5394[/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=159405&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159405&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
X1;Y	0.892	0.8569	0.6983
p-value	(0)	(0)	(0)
X1;X2	0.7947	0.7694	0.5934
p-value	(0)	(0)	(0)
X1;X3	0.6752	0.6175	0.459
p-value	(0)	(0)	(0)
X1;X4	0.6884	0.6428	0.4782
p-value	(0)	(0)	(0)
X1;X5	0.6856	0.6186	0.4598
p-value	(0)	(0)	(0)
X1;X6	0.7589	0.7007	0.5229
p-value	(0)	(0)	(0)
Y;X2	0.7744	0.7367	0.5589
p-value	(0)	(0)	(0)
Y;X3	0.6719	0.5823	0.4329
p-value	(0)	(0)	(0)
Y;X4	0.7263	0.6986	0.5286
p-value	(0)	(0)	(0)
Y;X5	0.6787	0.6097	0.4554
p-value	(0)	(0)	(0)
Y;X6	0.8498	0.8133	0.6433
p-value	(0)	(0)	(0)
X2;X3	0.6778	0.5957	0.4413
p-value	(0)	(0)	(0)
X2;X4	0.7185	0.6704	0.4985
p-value	(0)	(0)	(0)
X2;X5	0.6399	0.6014	0.4418
p-value	(0)	(0)	(0)
X2;X6	0.7325	0.7346	0.5621
p-value	(0)	(0)	(0)
X3;X4	0.8876	0.8426	0.6907
p-value	(0)	(0)	(0)
X3;X5	0.6163	0.5685	0.4267
p-value	(0)	(0)	(0)
X3;X6	0.6091	0.547	0.407
p-value	(0)	(0)	(0)
X4;X5	0.6406	0.6076	0.4601
p-value	(0)	(0)	(0)
X4;X6	0.6989	0.6662	0.4969
p-value	(0)	(0)	(0)
X5;X6	0.7563	0.7017	0.5394
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