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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, 23 Dec 2011 16:47:29 -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/23/t13246769101apwt8eh33nfikf.htm/, Retrieved Mon, 29 Apr 2024 20:05:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160723, Retrieved Mon, 29 Apr 2024 20:05:31 +0000

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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] [] [2011-12-23 21:47:29] [888e326c8b932e070d5e53fa2c51e0f3] [Current]
- RMP     [Skewness and Kurtosis Test] [] [2012-08-28 19:57:18] [63b27a8f1021b1dec8e8fd0dfee8bfd3] 
- RM        [Cronbach Alpha] [] [2012-08-28 20:00:49] [63b27a8f1021b1dec8e8fd0dfee8bfd3] 
- RM        [Cronbach Alpha] [] [2012-08-28 20:00:49] [63b27a8f1021b1dec8e8fd0dfee8bfd3] 

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Dataseries X:

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Boxplots

146283	56	396	81	3	79	30	144	145
98364	56	297	55	4	58	28	103	101
86146	54	559	50	12	60	38	98	98
96933	89	967	125	2	108	30	135	132
79234	40	270	40	1	49	22	61	60
42551	25	143	37	3	0	26	39	38
195663	92	1562	63	0	121	25	150	144
6853	18	109	44	0	1	18	5	5
21529	63	371	88	0	20	11	28	28
95757	44	656	66	5	43	26	84	84
85584	33	511	57	0	69	25	80	79
143983	84	655	74	0	78	38	130	127
75851	88	465	49	7	86	44	82	78
59238	55	525	52	7	44	30	60	60
93163	60	885	88	3	104	40	131	131
96037	66	497	36	9	63	34	84	84
151511	154	1436	108	0	158	47	140	133
136368	53	612	43	4	102	30	151	150
112642	119	865	75	3	77	31	91	91
94728	41	385	32	0	82	23	138	132
105499	61	567	44	7	115	36	150	136
121527	58	639	85	0	101	36	124	124
127766	75	963	86	1	80	30	119	118
98958	33	398	56	5	50	25	73	70
77900	40	410	50	7	83	39	110	107
85646	92	966	135	0	123	34	123	119
98579	100	801	63	0	73	31	90	89
130767	112	892	81	5	81	31	116	112
131741	73	513	52	0	105	33	113	108
53907	40	469	44	0	47	25	56	52
178812	45	683	113	0	105	33	115	112
146761	60	643	39	3	94	35	119	116
82036	62	535	73	4	44	42	129	123
163253	75	625	48	1	114	43	127	125
27032	31	264	33	4	38	30	27	27
171975	77	992	59	2	107	33	175	162
65990	34	238	41	0	30	13	35	32
86572	46	818	69	0	71	32	64	64
159676	99	937	64	0	84	36	96	92
1929	17	70	1	0	0	0	0	0
85371	66	507	59	2	59	28	84	83
58391	30	260	32	1	33	14	41	41
31580	76	503	129	0	42	17	47	47
136815	146	927	37	2	96	32	126	120
120642	67	1269	31	10	106	30	105	105
69107	56	537	65	6	56	35	80	79
50495	107	910	107	0	57	20	70	65
108016	58	532	74	5	59	28	73	70
46341	34	345	54	4	39	28	57	55
78348	61	918	76	1	34	39	40	39
79336	119	1635	715	2	76	34	68	67
56968	42	330	57	2	20	26	21	21
93176	66	557	66	0	91	39	127	127
161632	89	1178	106	8	115	39	154	152
87850	44	740	54	3	85	33	116	113
127969	66	452	32	0	76	28	102	99
15049	24	218	20	0	8	4	7	7
155135	259	764	71	8	79	39	148	141
25109	17	255	21	5	21	18	21	21
45824	64	454	70	3	30	14	35	35
102996	41	866	112	1	76	29	112	109
160604	68	574	66	5	101	44	137	133
158051	168	1276	190	1	94	21	135	123
44547	43	379	66	1	27	16	26	26
162647	132	825	165	5	92	28	230	230
174141	105	798	56	0	123	35	181	166
60622	71	663	61	12	75	28	71	68
179566	112	1069	53	8	128	38	147	147
184301	94	921	127	8	105	23	190	179
75661	82	858	63	8	55	36	64	61
96144	70	711	38	8	56	32	105	101
129847	57	503	50	2	41	29	107	108
117286	53	382	52	0	72	25	94	90
71180	103	464	42	5	67	27	116	114
109377	121	717	76	8	75	36	106	103
85298	62	690	67	2	114	28	143	142
73631	52	462	50	5	118	23	81	79
86767	52	657	53	12	77	40	89	88
23824	32	385	39	6	22	23	26	25
93487	62	577	50	7	66	40	84	83
82981	45	619	77	2	69	28	113	113
73815	46	479	57	0	105	34	120	118
94552	63	817	73	4	116	33	110	110
132190	75	752	34	3	88	28	134	129
128754	88	430	39	6	73	34	54	51
66363	46	451	46	2	99	30	96	93
67808	53	537	63	0	62	33	78	76
61724	37	519	35	1	53	22	51	49
131722	90	1000	106	0	118	38	121	118
68580	63	637	43	5	30	26	38	38
106175	78	465	47	2	100	35	145	141
55792	25	437	31	0	49	8	59	58
25157	45	711	162	0	24	24	27	27
76669	46	299	57	5	67	29	91	91
57283	41	248	36	0	46	20	48	48
105805	144	1162	263	1	57	29	68	63
129484	82	714	78	0	75	45	58	56
72413	91	905	63	1	135	37	150	144
87831	71	649	54	1	68	33	74	73
96971	63	512	63	2	124	33	181	168
71299	53	472	77	6	33	25	65	64
77494	62	905	79	1	98	32	97	97
120336	63	786	110	4	58	29	121	117
93913	32	489	56	2	68	28	99	100
136048	39	479	56	3	81	28	152	149
181248	62	617	43	0	131	31	188	187
146123	117	925	111	10	110	52	138	127
32036	34	351	71	0	37	21	40	37
186646	92	1144	62	9	130	24	254	245
102255	93	669	56	7	93	41	87	87
168237	54	707	74	0	118	33	178	177
64219	144	458	60	0	39	32	51	49
19630	14	214	43	4	13	19	49	49
76825	61	599	68	4	74	20	73	73
115338	109	572	53	0	81	31	176	177
109427	38	897	87	0	109	31	94	94
118168	73	819	46	0	151	32	120	117
84845	75	720	105	1	51	18	66	60
153197	50	273	32	0	28	23	56	55
29877	61	508	133	1	40	17	39	39
63506	55	506	79	0	56	20	66	64
22445	77	451	51	0	27	12	27	26
47695	75	699	207	4	37	17	65	64
68370	72	407	67	0	83	30	58	58
146304	50	465	47	4	54	31	98	95
38233	32	245	34	4	27	10	25	25
42071	53	370	66	3	28	13	26	26
50517	42	316	76	0	59	22	77	76
103950	71	603	65	0	133	42	130	129
5841	10	154	9	0	12	1	11	11
2341	35	229	42	5	0	9	2	2
84396	65	577	45	0	106	32	101	101
24610	25	192	25	4	23	11	31	28
35753	66	617	115	0	44	25	36	36
55515	41	411	97	0	71	36	120	89
209056	86	975	53	1	116	31	195	193
6622	16	146	2	0	4	0	4	4
115814	42	705	52	5	62	24	89	84
11609	19	184	44	0	12	13	24	23
13155	19	200	22	0	18	8	39	39
18274	45	274	35	0	14	13	14	14
72875	65	502	74	0	60	19	78	78
10112	35	382	103	0	7	18	15	14
142775	95	964	144	2	98	33	106	101
68847	49	537	60	7	64	40	83	82
17659	37	438	134	1	29	22	24	24
20112	64	369	89	8	32	38	37	36
61023	38	417	42	2	25	24	77	75
13983	34	276	52	0	16	8	16	16
65176	32	514	98	2	48	35	56	55
132432	65	822	99	0	100	43	132	131
112494	52	389	52	0	46	43	144	131
45109	62	466	29	1	45	14	40	39
170875	65	1255	125	3	129	41	153	144
180759	83	694	106	0	130	38	143	139
214921	95	1024	95	3	136	45	220	211
100226	29	400	40	0	59	31	79	78
32043	18	397	140	0	25	13	50	50
54454	33	350	43	0	32	28	39	39
78876	247	719	128	4	63	31	95	90
170745	139	1277	142	4	95	40	169	166
6940	29	356	73	11	14	30	12	12
49025	118	457	72	0	36	16	63	57
122037	110	1402	128	0	113	37	134	133
53782	67	600	61	4	47	30	69	69
127748	42	480	73	0	92	35	119	119
86839	65	595	148	1	70	32	119	119
44830	94	436	64	0	19	27	75	65
77395	64	230	45	0	50	20	63	61
89324	81	651	58	0	41	18	55	49
103300	95	1367	97	9	91	31	103	101
112283	67	564	50	1	111	31	197	196
10901	63	716	37	3	41	21	16	15
120691	83	747	50	10	120	39	140	136
58106	45	467	105	5	135	41	89	89
57140	30	671	69	0	27	13	40	40
122422	70	861	46	2	87	32	125	123
25899	32	319	57	0	25	18	21	21
139296	83	612	52	1	131	39	167	163
52678	31	433	98	2	45	14	32	29
23853	67	434	61	4	29	7	36	35
17306	66	503	89	0	58	17	13	13
7953	10	85	0	0	4	0	5	5
89455	70	564	48	2	47	30	96	96
147866	103	824	91	1	109	37	151	151
4245	5	74	0	0	7	0	6	6
21509	20	259	7	0	12	5	13	13
7670	5	69	3	0	0	1	3	3
66675	36	535	54	1	37	16	57	56
14336	34	239	70	0	37	32	23	23
53608	48	438	36	2	46	24	61	57
30059	40	459	37	0	15	17	21	14
29668	43	426	123	3	42	11	43	43
22097	31	288	247	6	7	24	20	20
96841	42	498	46	0	54	22	82	72
41907	46	454	72	2	54	12	90	87
27080	33	376	41	0	14	19	25	21
35885	18	225	24	2	16	13	60	56
41247	55	555	45	1	33	17	61	59
28313	35	252	33	1	32	15	85	82
36845	59	208	27	2	21	16	43	43
16548	19	130	36	1	15	24	25	25
36134	66	481	87	0	38	15	41	38
55764	60	389	90	1	22	17	26	25
28910	36	565	114	3	28	18	38	38
13339	25	173	31	0	10	20	12	12
25319	47	278	45	0	31	16	29	29
66956	54	609	69	0	32	16	49	47
47487	53	422	51	0	32	18	46	45
52785	40	445	34	1	43	22	41	40
44683	40	387	60	4	27	8	31	30
35619	39	339	45	0	37	17	41	41
21920	14	181	54	0	20	18	26	25
45608	45	245	25	0	32	16	23	23
7721	36	384	38	7	0	23	14	14
20634	28	212	52	2	5	22	16	16
29788	44	399	67	0	26	13	25	26
31931	30	229	74	7	10	13	21	21
37754	22	224	38	3	27	16	32	27
32505	17	203	30	0	11	16	9	9
40557	31	333	26	0	29	20	35	33
94238	55	384	67	6	25	22	42	42
44197	54	636	132	2	55	17	68	68
43228	21	185	42	0	23	18	32	32
4103	14	93	35	0	5	17	6	6
44144	81	581	118	3	43	12	68	67
32868	35	248	68	0	23	7	33	33
27640	43	304	43	1	34	17	84	77
14063	46	344	76	1	36	14	46	46
28990	30	407	64	0	35	23	30	30
4694	23	170	48	1	0	17	0	0
42648	38	312	64	0	37	14	36	36
64329	54	507	56	0	28	15	47	46
21928	20	224	71	0	16	17	20	18
25836	53	340	75	0	26	21	50	48
22779	45	168	39	0	38	18	30	29
40820	39	443	42	0	23	18	30	28
27530	20	204	39	0	22	17	34	34
32378	24	367	93	0	30	17	33	33
10824	31	210	38	0	16	16	34	34
39613	35	335	60	0	18	15	37	33
60865	151	364	71	0	28	21	83	80
19787	52	178	52	0	32	16	32	32
20107	30	206	27	2	21	14	30	30
36605	31	279	59	0	23	15	43	41
40961	29	387	40	1	29	17	41	41
48231	57	490	79	1	50	15	51	51
39725	40	238	44	0	12	15	19	18
21455	44	343	65	0	21	10	37	34
23430	25	232	10	0	18	6	33	31
62991	77	530	124	0	27	22	41	39
49363	35	291	81	0	41	21	54	54
9604	11	67	15	0	13	1	14	14
24552	63	397	92	1	12	18	25	24
31493	44	467	42	0	21	17	25	24
3439	19	178	10	0	8	4	8	8
19555	13	175	24	0	26	10	26	26
21228	42	299	64	0	27	16	20	19
23177	38	154	45	1	13	16	11	11
22094	29	106	22	0	16	9	14	14
2342	20	189	56	0	2	16	3	1
38798	27	194	94	0	42	17	40	39
3255	20	135	19	0	5	7	5	5
24261	19	201	35	0	37	15	38	37
18511	37	207	32	0	17	14	32	32
40798	26	280	35	0	38	14	41	38
28893	42	260	48	0	37	18	46	47
21425	49	227	49	0	29	12	47	47
50276	30	239	48	0	32	16	37	37
37643	49	333	62	0	35	21	51	51
30377	67	428	96	1	17	19	49	45
27126	28	230	45	0	20	16	21	21
13	19	292	63	0	7	1	1	1
42097	49	350	71	1	46	16	44	42
24451	27	186	26	0	24	10	26	26
14335	30	326	48	6	40	19	21	21
5084	22	155	29	3	3	12	4	4
9927	12	75	19	1	10	2	10	10
43527	31	361	45	2	37	14	43	43
27184	20	261	45	0	17	17	34	34
21610	20	299	67	0	28	19	32	31
20484	39	300	30	0	19	14	20	19
20156	29	450	36	3	29	11	34	34
6012	16	183	34	1	8	4	6	6
18475	27	238	36	0	10	16	12	11
12645	21	165	34	0	15	20	24	24
11017	19	234	37	1	15	12	16	16
37623	35	176	46	0	28	15	72	72
35873	14	329	44	0	17	16	27	21

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160723&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]4 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=160723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160723&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	4 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Correlations for all pairs of data series (method=pearson)
	totseconds	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	compendiums_reviewed	tothyperlinks	totblogs
totseconds	1	0.606	0.738	0.203	0.254	0.84	0.732	0.887	0.886
logins	0.606	1	0.692	0.388	0.25	0.566	0.549	0.587	0.581
compendium_views_info	0.738	0.692	1	0.519	0.282	0.749	0.638	0.691	0.689
compendium_views_pr	0.203	0.388	0.519	1	0.064	0.229	0.263	0.198	0.197
shared_compendiums	0.254	0.25	0.282	0.064	1	0.238	0.389	0.263	0.266
blogged_computations	0.84	0.566	0.749	0.229	0.238	1	0.762	0.884	0.885
compendiums_reviewed	0.732	0.549	0.638	0.263	0.389	0.762	1	0.721	0.72
tothyperlinks	0.887	0.587	0.691	0.198	0.263	0.884	0.721	1	0.998
totblogs	0.886	0.581	0.689	0.197	0.266	0.885	0.72	0.998	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & totseconds & logins & compendium_views_info & compendium_views_pr & shared_compendiums & blogged_computations & compendiums_reviewed & tothyperlinks & totblogs \tabularnewline
totseconds & 1 & 0.606 & 0.738 & 0.203 & 0.254 & 0.84 & 0.732 & 0.887 & 0.886 \tabularnewline
logins & 0.606 & 1 & 0.692 & 0.388 & 0.25 & 0.566 & 0.549 & 0.587 & 0.581 \tabularnewline
compendium_views_info & 0.738 & 0.692 & 1 & 0.519 & 0.282 & 0.749 & 0.638 & 0.691 & 0.689 \tabularnewline
compendium_views_pr & 0.203 & 0.388 & 0.519 & 1 & 0.064 & 0.229 & 0.263 & 0.198 & 0.197 \tabularnewline
shared_compendiums & 0.254 & 0.25 & 0.282 & 0.064 & 1 & 0.238 & 0.389 & 0.263 & 0.266 \tabularnewline
blogged_computations & 0.84 & 0.566 & 0.749 & 0.229 & 0.238 & 1 & 0.762 & 0.884 & 0.885 \tabularnewline
compendiums_reviewed & 0.732 & 0.549 & 0.638 & 0.263 & 0.389 & 0.762 & 1 & 0.721 & 0.72 \tabularnewline
tothyperlinks & 0.887 & 0.587 & 0.691 & 0.198 & 0.263 & 0.884 & 0.721 & 1 & 0.998 \tabularnewline
totblogs & 0.886 & 0.581 & 0.689 & 0.197 & 0.266 & 0.885 & 0.72 & 0.998 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160723&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]totseconds[/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]shared_compendiums[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]tothyperlinks[/C][C]totblogs[/C][/ROW]
[ROW][C]totseconds[/C][C]1[/C][C]0.606[/C][C]0.738[/C][C]0.203[/C][C]0.254[/C][C]0.84[/C][C]0.732[/C][C]0.887[/C][C]0.886[/C][/ROW]
[ROW][C]logins[/C][C]0.606[/C][C]1[/C][C]0.692[/C][C]0.388[/C][C]0.25[/C][C]0.566[/C][C]0.549[/C][C]0.587[/C][C]0.581[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.738[/C][C]0.692[/C][C]1[/C][C]0.519[/C][C]0.282[/C][C]0.749[/C][C]0.638[/C][C]0.691[/C][C]0.689[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.203[/C][C]0.388[/C][C]0.519[/C][C]1[/C][C]0.064[/C][C]0.229[/C][C]0.263[/C][C]0.198[/C][C]0.197[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.254[/C][C]0.25[/C][C]0.282[/C][C]0.064[/C][C]1[/C][C]0.238[/C][C]0.389[/C][C]0.263[/C][C]0.266[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.84[/C][C]0.566[/C][C]0.749[/C][C]0.229[/C][C]0.238[/C][C]1[/C][C]0.762[/C][C]0.884[/C][C]0.885[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.732[/C][C]0.549[/C][C]0.638[/C][C]0.263[/C][C]0.389[/C][C]0.762[/C][C]1[/C][C]0.721[/C][C]0.72[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.887[/C][C]0.587[/C][C]0.691[/C][C]0.198[/C][C]0.263[/C][C]0.884[/C][C]0.721[/C][C]1[/C][C]0.998[/C][/ROW]
[ROW][C]totblogs[/C][C]0.886[/C][C]0.581[/C][C]0.689[/C][C]0.197[/C][C]0.266[/C][C]0.885[/C][C]0.72[/C][C]0.998[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160723&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)
	totseconds	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	compendiums_reviewed	tothyperlinks	totblogs
totseconds	1	0.606	0.738	0.203	0.254	0.84	0.732	0.887	0.886
logins	0.606	1	0.692	0.388	0.25	0.566	0.549	0.587	0.581
compendium_views_info	0.738	0.692	1	0.519	0.282	0.749	0.638	0.691	0.689
compendium_views_pr	0.203	0.388	0.519	1	0.064	0.229	0.263	0.198	0.197
shared_compendiums	0.254	0.25	0.282	0.064	1	0.238	0.389	0.263	0.266
blogged_computations	0.84	0.566	0.749	0.229	0.238	1	0.762	0.884	0.885
compendiums_reviewed	0.732	0.549	0.638	0.263	0.389	0.762	1	0.721	0.72
tothyperlinks	0.887	0.587	0.691	0.198	0.263	0.884	0.721	1	0.998
totblogs	0.886	0.581	0.689	0.197	0.266	0.885	0.72	0.998	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
totseconds;logins	0.6055	0.7124	0.5221
p-value	(0)	(0)	(0)
totseconds;compendium_views_info	0.7384	0.7891	0.5947
p-value	(0)	(0)	(0)
totseconds;compendium_views_pr	0.2031	0.3699	0.253
p-value	(5e-04)	(0)	(0)
totseconds;shared_compendiums	0.2537	0.2917	0.2192
p-value	(0)	(0)	(0)
totseconds;blogged_computations	0.8401	0.8676	0.6852
p-value	(0)	(0)	(0)
totseconds;compendiums_reviewed	0.7321	0.7607	0.5536
p-value	(0)	(0)	(0)
totseconds;tothyperlinks	0.8869	0.9032	0.7339
p-value	(0)	(0)	(0)
totseconds;totblogs	0.8864	0.9028	0.7317
p-value	(0)	(0)	(0)
logins;compendium_views_info	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
logins;shared_compendiums	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;blogged_computations	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;tothyperlinks	0.587	0.7088	0.513
p-value	(0)	(0)	(0)
logins;totblogs	0.581	0.7078	0.5116
p-value	(0)	(0)	(0)
compendium_views_info;compendium_views_pr	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)
compendium_views_info;shared_compendiums	0.2821	0.3355	0.2476
p-value	(0)	(0)	(0)
compendium_views_info;blogged_computations	0.7489	0.8051	0.6045
p-value	(0)	(0)	(0)
compendium_views_info;compendiums_reviewed	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
compendium_views_info;tothyperlinks	0.6906	0.7659	0.5676
p-value	(0)	(0)	(0)
compendium_views_info;totblogs	0.689	0.7659	0.5668
p-value	(0)	(0)	(0)
compendium_views_pr;shared_compendiums	0.0639	0.1263	0.094
p-value	(0.2787)	(0.0319)	(0.0308)
compendium_views_pr;blogged_computations	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
compendium_views_pr;compendiums_reviewed	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
compendium_views_pr;tothyperlinks	0.1982	0.3946	0.2722
p-value	(7e-04)	(0)	(0)
compendium_views_pr;totblogs	0.1973	0.395	0.2726
p-value	(7e-04)	(0)	(0)
shared_compendiums;blogged_computations	0.238	0.2759	0.2074
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;tothyperlinks	0.2632	0.3014	0.2228
p-value	(0)	(0)	(0)
shared_compendiums;totblogs	0.2659	0.3064	0.2269
p-value	(0)	(0)	(0)
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;tothyperlinks	0.884	0.9064	0.7471
p-value	(0)	(0)	(0)
blogged_computations;totblogs	0.8853	0.9093	0.7512
p-value	(0)	(0)	(0)
compendiums_reviewed;tothyperlinks	0.7206	0.7547	0.557
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.7197	0.7558	0.5563
p-value	(0)	(0)	(0)
tothyperlinks;totblogs	0.9983	0.9987	0.9803
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
totseconds;logins & 0.6055 & 0.7124 & 0.5221 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;compendium_views_info & 0.7384 & 0.7891 & 0.5947 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;compendium_views_pr & 0.2031 & 0.3699 & 0.253 \tabularnewline
p-value & (5e-04) & (0) & (0) \tabularnewline
totseconds;shared_compendiums & 0.2537 & 0.2917 & 0.2192 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;blogged_computations & 0.8401 & 0.8676 & 0.6852 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;compendiums_reviewed & 0.7321 & 0.7607 & 0.5536 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;tothyperlinks & 0.8869 & 0.9032 & 0.7339 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;totblogs & 0.8864 & 0.9028 & 0.7317 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_pr & 0.3882 & 0.5226 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;tothyperlinks & 0.587 & 0.7088 & 0.513 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totblogs & 0.581 & 0.7078 & 0.5116 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_views_pr & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.2821 & 0.3355 & 0.2476 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;blogged_computations & 0.7489 & 0.8051 & 0.6045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendiums_reviewed & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;tothyperlinks & 0.6906 & 0.7659 & 0.5676 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;totblogs & 0.689 & 0.7659 & 0.5668 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;shared_compendiums & 0.0639 & 0.1263 & 0.094 \tabularnewline
p-value & (0.2787) & (0.0319) & (0.0308) \tabularnewline
compendium_views_pr;blogged_computations & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;tothyperlinks & 0.1982 & 0.3946 & 0.2722 \tabularnewline
p-value & (7e-04) & (0) & (0) \tabularnewline
compendium_views_pr;totblogs & 0.1973 & 0.395 & 0.2726 \tabularnewline
p-value & (7e-04) & (0) & (0) \tabularnewline
shared_compendiums;blogged_computations & 0.238 & 0.2759 & 0.2074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;compendiums_reviewed & 0.3895 & 0.3511 & 0.2616 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;tothyperlinks & 0.2632 & 0.3014 & 0.2228 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;totblogs & 0.2659 & 0.3064 & 0.2269 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendiums_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;tothyperlinks & 0.884 & 0.9064 & 0.7471 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totblogs & 0.8853 & 0.9093 & 0.7512 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;tothyperlinks & 0.7206 & 0.7547 & 0.557 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totblogs & 0.7197 & 0.7558 & 0.5563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tothyperlinks;totblogs & 0.9983 & 0.9987 & 0.9803 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160723&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]totseconds;logins[/C][C]0.6055[/C][C]0.7124[/C][C]0.5221[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;compendium_views_info[/C][C]0.7384[/C][C]0.7891[/C][C]0.5947[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;compendium_views_pr[/C][C]0.2031[/C][C]0.3699[/C][C]0.253[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;shared_compendiums[/C][C]0.2537[/C][C]0.2917[/C][C]0.2192[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;blogged_computations[/C][C]0.8401[/C][C]0.8676[/C][C]0.6852[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;compendiums_reviewed[/C][C]0.7321[/C][C]0.7607[/C][C]0.5536[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;tothyperlinks[/C][C]0.8869[/C][C]0.9032[/C][C]0.7339[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;totblogs[/C][C]0.8864[/C][C]0.9028[/C][C]0.7317[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/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]logins;compendium_views_pr[/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]logins;shared_compendiums[/C][C]0.2505[/C][C]0.2795[/C][C]0.2078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;blogged_computations[/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]logins;compendiums_reviewed[/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]logins;tothyperlinks[/C][C]0.587[/C][C]0.7088[/C][C]0.513[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totblogs[/C][C]0.581[/C][C]0.7078[/C][C]0.5116[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/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]compendium_views_info;shared_compendiums[/C][C]0.2821[/C][C]0.3355[/C][C]0.2476[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/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]compendium_views_info;compendiums_reviewed[/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]compendium_views_info;tothyperlinks[/C][C]0.6906[/C][C]0.7659[/C][C]0.5676[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;totblogs[/C][C]0.689[/C][C]0.7659[/C][C]0.5668[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]0.0639[/C][C]0.1263[/C][C]0.094[/C][/ROW]
[ROW][C]p-value[/C][C](0.2787)[/C][C](0.0319)[/C][C](0.0308)[/C][/ROW]
[ROW][C]compendium_views_pr;blogged_computations[/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]compendium_views_pr;compendiums_reviewed[/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]compendium_views_pr;tothyperlinks[/C][C]0.1982[/C][C]0.3946[/C][C]0.2722[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;totblogs[/C][C]0.1973[/C][C]0.395[/C][C]0.2726[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]0.238[/C][C]0.2759[/C][C]0.2074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;compendiums_reviewed[/C][C]0.3895[/C][C]0.3511[/C][C]0.2616[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;tothyperlinks[/C][C]0.2632[/C][C]0.3014[/C][C]0.2228[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;totblogs[/C][C]0.2659[/C][C]0.3064[/C][C]0.2269[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendiums_reviewed[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;tothyperlinks[/C][C]0.884[/C][C]0.9064[/C][C]0.7471[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totblogs[/C][C]0.8853[/C][C]0.9093[/C][C]0.7512[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;tothyperlinks[/C][C]0.7206[/C][C]0.7547[/C][C]0.557[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totblogs[/C][C]0.7197[/C][C]0.7558[/C][C]0.5563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tothyperlinks;totblogs[/C][C]0.9983[/C][C]0.9987[/C][C]0.9803[/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=160723&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160723&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
totseconds;logins	0.6055	0.7124	0.5221
p-value	(0)	(0)	(0)
totseconds;compendium_views_info	0.7384	0.7891	0.5947
p-value	(0)	(0)	(0)
totseconds;compendium_views_pr	0.2031	0.3699	0.253
p-value	(5e-04)	(0)	(0)
totseconds;shared_compendiums	0.2537	0.2917	0.2192
p-value	(0)	(0)	(0)
totseconds;blogged_computations	0.8401	0.8676	0.6852
p-value	(0)	(0)	(0)
totseconds;compendiums_reviewed	0.7321	0.7607	0.5536
p-value	(0)	(0)	(0)
totseconds;tothyperlinks	0.8869	0.9032	0.7339
p-value	(0)	(0)	(0)
totseconds;totblogs	0.8864	0.9028	0.7317
p-value	(0)	(0)	(0)
logins;compendium_views_info	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
logins;shared_compendiums	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;blogged_computations	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;tothyperlinks	0.587	0.7088	0.513
p-value	(0)	(0)	(0)
logins;totblogs	0.581	0.7078	0.5116
p-value	(0)	(0)	(0)
compendium_views_info;compendium_views_pr	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)
compendium_views_info;shared_compendiums	0.2821	0.3355	0.2476
p-value	(0)	(0)	(0)
compendium_views_info;blogged_computations	0.7489	0.8051	0.6045
p-value	(0)	(0)	(0)
compendium_views_info;compendiums_reviewed	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
compendium_views_info;tothyperlinks	0.6906	0.7659	0.5676
p-value	(0)	(0)	(0)
compendium_views_info;totblogs	0.689	0.7659	0.5668
p-value	(0)	(0)	(0)
compendium_views_pr;shared_compendiums	0.0639	0.1263	0.094
p-value	(0.2787)	(0.0319)	(0.0308)
compendium_views_pr;blogged_computations	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
compendium_views_pr;compendiums_reviewed	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
compendium_views_pr;tothyperlinks	0.1982	0.3946	0.2722
p-value	(7e-04)	(0)	(0)
compendium_views_pr;totblogs	0.1973	0.395	0.2726
p-value	(7e-04)	(0)	(0)
shared_compendiums;blogged_computations	0.238	0.2759	0.2074
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;tothyperlinks	0.2632	0.3014	0.2228
p-value	(0)	(0)	(0)
shared_compendiums;totblogs	0.2659	0.3064	0.2269
p-value	(0)	(0)	(0)
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;tothyperlinks	0.884	0.9064	0.7471
p-value	(0)	(0)	(0)
blogged_computations;totblogs	0.8853	0.9093	0.7512
p-value	(0)	(0)	(0)
compendiums_reviewed;tothyperlinks	0.7206	0.7547	0.557
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.7197	0.7558	0.5563
p-value	(0)	(0)	(0)
tothyperlinks;totblogs	0.9983	0.9987	0.9803
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