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

Fri, 16 Dec 2011 08:29:50 -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/16/t1324042218rqt98bg5ptl2wav.htm/, Retrieved Sun, 05 May 2024 10:03:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155906, Retrieved Sun, 05 May 2024 10:03:15 +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] [] [2011-12-16 13:29:50] [5988e21ec0676b551e455a86717edc1d] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

140824	186099	165	0	474	38	144	83899
110459	113854	132	3	421	34	133	62711
105079	99776	121	0	673	42	162	122597
112098	106194	145	3	1137	38	148	112249
43929	100792	71	2	333	27	88	56414
76173	47552	47	2	179	35	129	23297
187326	250931	177	8	2146	33	128	231677
22807	6853	5	0	111	18	67	26333
144408	115466	124	1	735	34	132	92356
66485	110896	92	1	585	33	120	100802
79089	169351	149	5	754	42	155	123523
81625	94853	93	5	650	55	210	141038
68788	72591	70	0	615	35	115	84032
103297	101345	148	0	1117	52	179	242821
69446	113713	100	0	599	42	158	98074
114948	165354	142	8	1638	59	223	204399
167949	164263	194	3	724	36	140	127837
125081	135213	113	1	1139	39	144	179805
125818	111669	162	7	491	29	111	57017
136588	134163	186	14	675	46	179	121853
112431	140303	147	1	819	45	171	128937
103037	150773	137	3	1203	39	144	274771
82317	111848	71	3	421	25	89	50114
118906	102509	123	5	601	52	208	87388
83515	96785	134	6	1156	41	153	103760
104581	116136	115	1	923	38	146	87587
103129	158376	138	9	1061	41	158	108822
83243	153990	125	7	593	39	142	109222
37110	64057	66	4	559	32	117	91858
113344	230054	137	7	1016	41	158	96751
139165	184531	152	3	886	45	175	87130
86652	114198	159	6	605	47	174	82994
112302	198299	159	2	779	48	185	120264
69652	33750	31	0	310	37	141	63967
119442	189723	185	14	1135	39	151	157208
69867	100826	78	0	1186	42	159	173124
101629	188355	117	4	1287	41	151	223454
70168	104470	109	3	585	36	139	103722
31081	58391	41	0	276	17	55	57078
103925	164808	149	9	1139	39	151	163531
92622	134097	123	0	1490	39	145	190081
79011	80238	103	1	590	38	138	77659
93487	133252	87	7	632	36	115	59631
64520	54518	71	2	464	42	157	118932
93473	121850	51	1	1022	45	73	31928
114360	79367	70	1	2005	38	138	366195
33032	56968	21	0	330	26	82	21832
96125	106314	155	0	648	52	201	101737
151911	191889	172	2	1305	47	181	131263
89256	104864	133	3	868	45	164	70659
95671	160791	125	3	554	40	158	52259
5950	15049	7	0	218	4	12	9139
149695	191179	158	7	832	44	163	181046
32551	25109	21	0	255	18	67	39920
31701	45824	35	0	454	14	52	55273
100087	129711	133	4	1074	37	134	139882
169707	210012	169	5	642	56	210	92206
150491	194679	256	1	1057	36	134	121210
120192	197680	190	17	992	41	150	124866
95893	81180	100	3	814	36	139	165693
151715	197765	171	0	1288	46	178	162900
176225	214738	267	12	1128	28	101	81448
59900	96252	80	3	1061	42	165	136139
104767	124527	126	4	897	42	163	130023
114799	153242	132	-1	557	37	139	75353
72128	145707	121	5	436	30	116	70320
143592	113963	156	2	562	35	137	73996
89626	134904	133	5	799	44	167	92795
131072	114268	199	1	826	36	135	115430
126817	94333	98	6	600	28	102	72458
81351	102204	109	2	863	45	173	137073
22618	23824	25	1	385	23	88	49742
88977	111563	113	2	712	45	175	130935
92059	91313	126	1	705	38	133	95854
81897	89770	137	3	606	38	148	88511
108146	100125	121	0	965	42	157	248935
126372	165278	178	5	992	36	140	157848
249771	181712	63	5	522	41	154	24347
71154	80906	109	3	648	38	148	104064
71571	75881	101	2	588	37	134	93109
55918	83963	61	2	622	28	109	69650
160141	175721	157	9	1197	45	175	253760
38692	68580	38	0	651	26	99	77339
102812	136323	159	4	656	44	122	144020
56622	55792	58	1	437	8	28	25161
15986	25157	27	0	792	27	101	122949
123534	100922	108	0	342	35	129	45855
108535	118845	83	5	1353	37	143	217209
93879	170492	88	4	891	57	206	136994
144551	81716	164	6	1038	41	155	96779
56750	115750	96	2	786	37	138	135716
127654	105590	192	13	618	38	141	125371
65594	92795	94	2	545	31	114	82449
59938	82390	107	0	1061	36	140	179104
146975	135599	144	6	928	36	140	166284
143372	111542	123	0	555	36	140	77710
168553	162519	170	6	552	35	127	59985
183500	211381	210	3	741	39	141	66789
165986	189944	193	15	1251	58	223	177779
184923	226168	297	10	1389	30	114	166178
140358	117495	125	0	833	51	198	167160
149959	195894	204	4	812	41	155	77748
57224	80684	70	3	640	36	138	106172
43750	19630	49	0	214	19	71	23657
48029	88634	82	0	713	23	84	96668
104978	139292	205	1	686	40	151	63796
100046	128602	111	1	1140	40	155	131090
101047	135848	135	4	1028	40	150	165608
197426	178377	59	1	349	30	112	-58408
160902	106330	70	0	892	41	161	46698
147172	178303	108	4	606	40	149	128649
109432	116938	141	1	682	45	164	180869
1168	5841	11	0	156	1	0	17782
83248	106020	130	0	656	36	139	69512
25162	24610	28	3	192	11	32	37247
45724	74151	101	31	457	45	169	89615
110529	232241	216	3	1162	38	140	151812
855	6622	4	0	146	0	0	14432
101382	127097	97	5	866	30	111	125708
14116	13155	39	0	200	8	25	18806
89506	160501	119	6	1163	39	146	134108
135356	91502	118	3	693	46	175	143567
116066	24469	41	1	485	48	181	150393
144244	88229	107	4	670	29	107	63814
8773	13983	16	0	276	8	27	24231
102153	80716	69	1	646	39	147	108735
117440	157384	160	2	993	47	178	187418
104128	122975	158	15	441	50	193	67968
134238	191469	161	10	1548	48	187	204691
134047	231257	165	7	819	48	187	82955
279488	258287	246	8	1151	50	186	138425
79756	122531	89	1	473	40	151	65461
66089	61394	49	1	401	36	131	41030
102070	86480	107	6	943	40	155	196912
146760	195791	182	5	1429	46	172	205469
154771	18284	16	0	529	39	148	117652
165933	147581	173	2	1654	42	156	225565
64593	72558	90	0	689	39	143	84871
92280	147341	140	0	528	41	151	89029
67150	114651	142	3	873	42	145	144308
128692	100187	126	15	601	32	125	114151
124089	130332	123	2	1545	39	145	232822
125386	134218	239	2	747	36	133	98121
37238	10901	15	1	716	21	79	162359
140015	145758	170	5	940	45	174	171918
150047	75767	123	9	720	50	192	93227
154451	134969	151	3	980	36	132	98324
156349	169216	194	4	815	44	159	132369
0	0	0	0	0	0	0	1
6023	7953	5	0	85	0	0	6735
0	0	0	0	0	0	0	98
0	0	0	0	0	0	0	455
0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0
84601	105406	122	3	662	37	133	111397
68946	174586	173	1	1041	47	185	190644
0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	203
1644	4245	6	0	74	0	0	2954
6179	21509	13	0	259	5	15	25151
3926	7670	3	0	69	1	4	9877
52789	15673	35	0	285	43	152	101005
0	0	0	0	0	0	0	969
100350	75882	72	8	573	31	113	119710

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155906&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]1 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=155906&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155906&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	Y	X1	X2	X3	X4	X5	X6	X7
Y	1	0.794	0.764	0.36	0.596	0.684	0.688	0.444
X1	0.794	1	0.85	0.413	0.683	0.679	0.676	0.488
X2	0.764	0.85	1	0.449	0.634	0.666	0.675	0.506
X3	0.36	0.413	0.449	1	0.288	0.349	0.36	0.234
X4	0.596	0.683	0.634	0.288	1	0.634	0.628	0.84
X5	0.684	0.679	0.666	0.349	0.634	1	0.984	0.622
X6	0.688	0.676	0.675	0.36	0.628	0.984	1	0.629
X7	0.444	0.488	0.506	0.234	0.84	0.622	0.629	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Y & X1 & X2 & X3 & X4 & X5 & X6 & X7 \tabularnewline
Y & 1 & 0.794 & 0.764 & 0.36 & 0.596 & 0.684 & 0.688 & 0.444 \tabularnewline
X1 & 0.794 & 1 & 0.85 & 0.413 & 0.683 & 0.679 & 0.676 & 0.488 \tabularnewline
X2 & 0.764 & 0.85 & 1 & 0.449 & 0.634 & 0.666 & 0.675 & 0.506 \tabularnewline
X3 & 0.36 & 0.413 & 0.449 & 1 & 0.288 & 0.349 & 0.36 & 0.234 \tabularnewline
X4 & 0.596 & 0.683 & 0.634 & 0.288 & 1 & 0.634 & 0.628 & 0.84 \tabularnewline
X5 & 0.684 & 0.679 & 0.666 & 0.349 & 0.634 & 1 & 0.984 & 0.622 \tabularnewline
X6 & 0.688 & 0.676 & 0.675 & 0.36 & 0.628 & 0.984 & 1 & 0.629 \tabularnewline
X7 & 0.444 & 0.488 & 0.506 & 0.234 & 0.84 & 0.622 & 0.629 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155906&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Y[/C][C]X1[/C][C]X2[/C][C]X3[/C][C]X4[/C][C]X5[/C][C]X6[/C][C]X7[/C][/ROW]
[ROW][C]Y[/C][C]1[/C][C]0.794[/C][C]0.764[/C][C]0.36[/C][C]0.596[/C][C]0.684[/C][C]0.688[/C][C]0.444[/C][/ROW]
[ROW][C]X1[/C][C]0.794[/C][C]1[/C][C]0.85[/C][C]0.413[/C][C]0.683[/C][C]0.679[/C][C]0.676[/C][C]0.488[/C][/ROW]
[ROW][C]X2[/C][C]0.764[/C][C]0.85[/C][C]1[/C][C]0.449[/C][C]0.634[/C][C]0.666[/C][C]0.675[/C][C]0.506[/C][/ROW]
[ROW][C]X3[/C][C]0.36[/C][C]0.413[/C][C]0.449[/C][C]1[/C][C]0.288[/C][C]0.349[/C][C]0.36[/C][C]0.234[/C][/ROW]
[ROW][C]X4[/C][C]0.596[/C][C]0.683[/C][C]0.634[/C][C]0.288[/C][C]1[/C][C]0.634[/C][C]0.628[/C][C]0.84[/C][/ROW]
[ROW][C]X5[/C][C]0.684[/C][C]0.679[/C][C]0.666[/C][C]0.349[/C][C]0.634[/C][C]1[/C][C]0.984[/C][C]0.622[/C][/ROW]
[ROW][C]X6[/C][C]0.688[/C][C]0.676[/C][C]0.675[/C][C]0.36[/C][C]0.628[/C][C]0.984[/C][C]1[/C][C]0.629[/C][/ROW]
[ROW][C]X7[/C][C]0.444[/C][C]0.488[/C][C]0.506[/C][C]0.234[/C][C]0.84[/C][C]0.622[/C][C]0.629[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155906&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155906&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)
	Y	X1	X2	X3	X4	X5	X6	X7
Y	1	0.794	0.764	0.36	0.596	0.684	0.688	0.444
X1	0.794	1	0.85	0.413	0.683	0.679	0.676	0.488
X2	0.764	0.85	1	0.449	0.634	0.666	0.675	0.506
X3	0.36	0.413	0.449	1	0.288	0.349	0.36	0.234
X4	0.596	0.683	0.634	0.288	1	0.634	0.628	0.84
X5	0.684	0.679	0.666	0.349	0.634	1	0.984	0.622
X6	0.688	0.676	0.675	0.36	0.628	0.984	1	0.629
X7	0.444	0.488	0.506	0.234	0.84	0.622	0.629	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Y;X1	0.7936	0.7491	0.5804
p-value	(0)	(0)	(0)
Y;X2	0.7641	0.7554	0.6032
p-value	(0)	(0)	(0)
Y;X3	0.3602	0.5037	0.3792
p-value	(0)	(0)	(0)
Y;X4	0.5961	0.5742	0.4234
p-value	(0)	(0)	(0)
Y;X5	0.6836	0.5116	0.376
p-value	(0)	(0)	(0)
Y;X6	0.6877	0.5343	0.3887
p-value	(0)	(0)	(0)
Y;X7	0.4438	0.4618	0.3383
p-value	(0)	(0)	(0)
X1;X2	0.8504	0.8277	0.6662
p-value	(0)	(0)	(0)
X1;X3	0.4126	0.5572	0.4167
p-value	(0)	(0)	(0)
X1;X4	0.6832	0.6645	0.4986
p-value	(0)	(0)	(0)
X1;X5	0.679	0.5619	0.4218
p-value	(0)	(0)	(0)
X1;X6	0.6758	0.5611	0.4164
p-value	(0)	(0)	(0)
X1;X7	0.4878	0.5083	0.3703
p-value	(0)	(0)	(0)
X2;X3	0.4493	0.5653	0.4245
p-value	(0)	(0)	(0)
X2;X4	0.6341	0.6444	0.4798
p-value	(0)	(0)	(0)
X2;X5	0.6657	0.5713	0.4305
p-value	(0)	(0)	(0)
X2;X6	0.6747	0.5847	0.4362
p-value	(0)	(0)	(0)
X2;X7	0.5056	0.5352	0.3837
p-value	(0)	(0)	(0)
X3;X4	0.2878	0.4354	0.3207
p-value	(2e-04)	(0)	(0)
X3;X5	0.349	0.3903	0.2914
p-value	(0)	(0)	(0)
X3;X6	0.3602	0.4015	0.3001
p-value	(0)	(0)	(0)
X3;X7	0.234	0.3864	0.2789
p-value	(0.0026)	(0)	(0)
X4;X5	0.6335	0.5749	0.4207
p-value	(0)	(0)	(0)
X4;X6	0.6282	0.5719	0.4117
p-value	(0)	(0)	(0)
X4;X7	0.8397	0.826	0.6543
p-value	(0)	(0)	(0)
X5;X6	0.984	0.9624	0.9065
p-value	(0)	(0)	(0)
X5;X7	0.6222	0.6069	0.453
p-value	(0)	(0)	(0)
X6;X7	0.6293	0.6144	0.4546
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
Y;X1 & 0.7936 & 0.7491 & 0.5804 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X2 & 0.7641 & 0.7554 & 0.6032 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X3 & 0.3602 & 0.5037 & 0.3792 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X4 & 0.5961 & 0.5742 & 0.4234 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X5 & 0.6836 & 0.5116 & 0.376 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X6 & 0.6877 & 0.5343 & 0.3887 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X7 & 0.4438 & 0.4618 & 0.3383 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X2 & 0.8504 & 0.8277 & 0.6662 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X3 & 0.4126 & 0.5572 & 0.4167 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X4 & 0.6832 & 0.6645 & 0.4986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X5 & 0.679 & 0.5619 & 0.4218 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X6 & 0.6758 & 0.5611 & 0.4164 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X7 & 0.4878 & 0.5083 & 0.3703 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X3 & 0.4493 & 0.5653 & 0.4245 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X4 & 0.6341 & 0.6444 & 0.4798 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X5 & 0.6657 & 0.5713 & 0.4305 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X6 & 0.6747 & 0.5847 & 0.4362 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X7 & 0.5056 & 0.5352 & 0.3837 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X4 & 0.2878 & 0.4354 & 0.3207 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
X3;X5 & 0.349 & 0.3903 & 0.2914 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X6 & 0.3602 & 0.4015 & 0.3001 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X7 & 0.234 & 0.3864 & 0.2789 \tabularnewline
p-value & (0.0026) & (0) & (0) \tabularnewline
X4;X5 & 0.6335 & 0.5749 & 0.4207 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X6 & 0.6282 & 0.5719 & 0.4117 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X7 & 0.8397 & 0.826 & 0.6543 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X5;X6 & 0.984 & 0.9624 & 0.9065 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X5;X7 & 0.6222 & 0.6069 & 0.453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X6;X7 & 0.6293 & 0.6144 & 0.4546 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155906&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]Y;X1[/C][C]0.7936[/C][C]0.7491[/C][C]0.5804[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X2[/C][C]0.7641[/C][C]0.7554[/C][C]0.6032[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X3[/C][C]0.3602[/C][C]0.5037[/C][C]0.3792[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X4[/C][C]0.5961[/C][C]0.5742[/C][C]0.4234[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X5[/C][C]0.6836[/C][C]0.5116[/C][C]0.376[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X6[/C][C]0.6877[/C][C]0.5343[/C][C]0.3887[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X7[/C][C]0.4438[/C][C]0.4618[/C][C]0.3383[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X2[/C][C]0.8504[/C][C]0.8277[/C][C]0.6662[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X3[/C][C]0.4126[/C][C]0.5572[/C][C]0.4167[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X4[/C][C]0.6832[/C][C]0.6645[/C][C]0.4986[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X5[/C][C]0.679[/C][C]0.5619[/C][C]0.4218[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X6[/C][C]0.6758[/C][C]0.5611[/C][C]0.4164[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X7[/C][C]0.4878[/C][C]0.5083[/C][C]0.3703[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X3[/C][C]0.4493[/C][C]0.5653[/C][C]0.4245[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X4[/C][C]0.6341[/C][C]0.6444[/C][C]0.4798[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X5[/C][C]0.6657[/C][C]0.5713[/C][C]0.4305[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X6[/C][C]0.6747[/C][C]0.5847[/C][C]0.4362[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X7[/C][C]0.5056[/C][C]0.5352[/C][C]0.3837[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X4[/C][C]0.2878[/C][C]0.4354[/C][C]0.3207[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X5[/C][C]0.349[/C][C]0.3903[/C][C]0.2914[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X6[/C][C]0.3602[/C][C]0.4015[/C][C]0.3001[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X7[/C][C]0.234[/C][C]0.3864[/C][C]0.2789[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X5[/C][C]0.6335[/C][C]0.5749[/C][C]0.4207[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X6[/C][C]0.6282[/C][C]0.5719[/C][C]0.4117[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X7[/C][C]0.8397[/C][C]0.826[/C][C]0.6543[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X5;X6[/C][C]0.984[/C][C]0.9624[/C][C]0.9065[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X5;X7[/C][C]0.6222[/C][C]0.6069[/C][C]0.453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X6;X7[/C][C]0.6293[/C][C]0.6144[/C][C]0.4546[/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=155906&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155906&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
Y;X1	0.7936	0.7491	0.5804
p-value	(0)	(0)	(0)
Y;X2	0.7641	0.7554	0.6032
p-value	(0)	(0)	(0)
Y;X3	0.3602	0.5037	0.3792
p-value	(0)	(0)	(0)
Y;X4	0.5961	0.5742	0.4234
p-value	(0)	(0)	(0)
Y;X5	0.6836	0.5116	0.376
p-value	(0)	(0)	(0)
Y;X6	0.6877	0.5343	0.3887
p-value	(0)	(0)	(0)
Y;X7	0.4438	0.4618	0.3383
p-value	(0)	(0)	(0)
X1;X2	0.8504	0.8277	0.6662
p-value	(0)	(0)	(0)
X1;X3	0.4126	0.5572	0.4167
p-value	(0)	(0)	(0)
X1;X4	0.6832	0.6645	0.4986
p-value	(0)	(0)	(0)
X1;X5	0.679	0.5619	0.4218
p-value	(0)	(0)	(0)
X1;X6	0.6758	0.5611	0.4164
p-value	(0)	(0)	(0)
X1;X7	0.4878	0.5083	0.3703
p-value	(0)	(0)	(0)
X2;X3	0.4493	0.5653	0.4245
p-value	(0)	(0)	(0)
X2;X4	0.6341	0.6444	0.4798
p-value	(0)	(0)	(0)
X2;X5	0.6657	0.5713	0.4305
p-value	(0)	(0)	(0)
X2;X6	0.6747	0.5847	0.4362
p-value	(0)	(0)	(0)
X2;X7	0.5056	0.5352	0.3837
p-value	(0)	(0)	(0)
X3;X4	0.2878	0.4354	0.3207
p-value	(2e-04)	(0)	(0)
X3;X5	0.349	0.3903	0.2914
p-value	(0)	(0)	(0)
X3;X6	0.3602	0.4015	0.3001
p-value	(0)	(0)	(0)
X3;X7	0.234	0.3864	0.2789
p-value	(0.0026)	(0)	(0)
X4;X5	0.6335	0.5749	0.4207
p-value	(0)	(0)	(0)
X4;X6	0.6282	0.5719	0.4117
p-value	(0)	(0)	(0)
X4;X7	0.8397	0.826	0.6543
p-value	(0)	(0)	(0)
X5;X6	0.984	0.9624	0.9065
p-value	(0)	(0)	(0)
X5;X7	0.6222	0.6069	0.453
p-value	(0)	(0)	(0)
X6;X7	0.6293	0.6144	0.4546
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