Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Mon, 19 Dec 2011 11:22:41 -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/19/t1324311768ail7a8mk1qrvv0k.htm/, Retrieved Wed, 29 May 2024 04:55:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157502, Retrieved Wed, 29 May 2024 04:55:29 +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

104

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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2011-12-19 16:22:41] [c092f3a3bdd85c7279ddab6c8c6c9261] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

56	3	30	112285	24188	146283	144	145	1
56	4	28	84786	18273	98364	103	101	1
54	12	38	83123	14130	86146	98	98	1
89	2	30	101193	32287	96933	135	132	1
40	1	22	38361	8654	79234	61	60	1
25	3	26	68504	9245	42551	39	38	1
92	0	25	119182	33251	195663	150	144	1
18	0	18	22807	1271	6853	5	5	1
63	0	11	17140	5279	21529	28	28	0
44	5	26	116174	27101	95757	84	84	1
33	0	25	57635	16373	85584	80	79	1
84	0	38	66198	19716	143983	130	127	1
88	7	44	71701	17753	75851	82	78	1
55	7	30	57793	9028	59238	60	60	1
60	3	40	80444	18653	93163	131	131	1
66	9	34	53855	8828	96037	84	84	1
154	0	47	97668	29498	151511	140	133	1
53	4	30	133824	27563	136368	151	150	1
119	3	31	101481	18293	112642	91	91	1
41	0	23	99645	22530	94728	138	132	1
61	7	36	114789	15977	105499	150	136	1
58	0	36	99052	35082	121527	124	124	1
75	1	30	67654	16116	127766	119	118	1
33	5	25	65553	15849	98958	73	70	1
40	7	39	97500	16026	77900	110	107	1
92	0	34	69112	26569	85646	123	119	1
100	0	31	82753	24785	98579	90	89	1
112	5	31	85323	17569	130767	116	112	1
73	0	33	72654	23825	131741	113	108	1
40	0	25	30727	7869	53907	56	52	1
45	0	33	77873	14975	178812	115	112	1
60	3	35	117478	37791	146761	119	116	1
62	4	42	74007	9605	82036	129	123	1
75	1	43	90183	27295	163253	127	125	1
31	4	30	61542	2746	27032	27	27	1
77	2	33	101494	34461	171975	175	162	1
34	0	13	27570	8098	65990	35	32	0
46	0	32	55813	4787	86572	64	64	1
99	0	36	79215	24919	159676	96	92	1
17	0	0	1423	603	1929	0	0	0
66	2	28	55461	16329	85371	84	83	1
30	1	14	31081	12558	58391	41	41	1
76	0	17	22996	7784	31580	47	47	0
146	2	32	83122	28522	136815	126	120	1
67	10	30	70106	22265	120642	105	105	1
56	6	35	60578	14459	69107	80	79	1
107	0	20	39992	14526	50495	70	65	0
58	5	28	79892	22240	108016	73	70	1
34	4	28	49810	11802	46341	57	55	1
61	1	39	71570	7623	78348	40	39	1
119	2	34	100708	11912	79336	68	67	1
42	2	26	33032	7935	56968	21	21	1
66	0	39	82875	18220	93176	127	127	1
89	8	39	139077	19199	161632	154	152	1
44	3	33	71595	19918	87850	116	113	1
66	0	28	72260	21884	127969	102	99	1
24	0	4	5950	2694	15049	7	7	1
259	8	39	115762	15808	155135	148	141	1
17	5	18	32551	3597	25109	21	21	1
64	3	14	31701	5296	45824	35	35	1
41	1	29	80670	25239	102996	112	109	1
68	5	44	143558	29801	160604	137	133	1
168	1	21	117105	18450	158051	135	123	0
43	1	16	23789	7132	44547	26	26	0
132	5	28	120733	34861	162647	230	230	1
105	0	35	105195	35940	174141	181	166	1
71	12	28	73107	16688	60622	71	68	1
112	8	38	132068	24683	179566	147	147	1
94	8	23	149193	46230	184301	190	179	1
82	8	36	46821	10387	75661	64	61	1
70	8	32	87011	21436	96144	105	101	1
57	2	29	95260	30546	129847	107	108	1
53	0	25	55183	19746	117286	94	90	1
103	5	27	106671	15977	71180	116	114	1
121	8	36	73511	22583	109377	106	103	1
62	2	28	92945	17274	85298	143	142	1
52	5	23	78664	16469	73631	81	79	1
52	12	40	70054	14251	86767	89	88	1
32	6	23	22618	3007	23824	26	25	1
62	7	40	74011	16851	93487	84	83	1
45	2	28	83737	21113	82981	113	113	1
46	0	34	69094	17401	73815	120	118	1
63	4	33	93133	23958	94552	110	110	1
75	3	28	95536	23567	132190	134	129	1
88	6	34	225920	13065	128754	54	51	1
46	2	30	62133	15358	66363	96	93	1
53	0	33	61370	14587	67808	78	76	1
37	1	22	43836	12770	61724	51	49	1
90	0	38	106117	24021	131722	121	118	1
63	5	26	38692	9648	68580	38	38	1
78	2	35	84651	20537	106175	145	141	1
25	0	8	56622	7905	55792	59	58	1
45	0	24	15986	4527	25157	27	27	1
46	5	29	95364	30495	76669	91	91	1
41	0	20	26706	7117	57283	48	48	0
144	1	29	89691	17719	105805	68	63	1
82	0	45	67267	27056	129484	58	56	1
91	1	37	126846	33473	72413	150	144	1
71	1	33	41140	9758	87831	74	73	1
63	2	33	102860	21115	96971	181	168	1
53	6	25	51715	7236	71299	65	64	1
62	1	32	55801	13790	77494	97	97	1
63	4	29	111813	32902	120336	121	117	1
32	2	28	120293	25131	93913	99	100	1
39	3	28	138599	30910	136048	152	149	1
62	0	31	161647	35947	181248	188	187	1
117	10	52	115929	29848	146123	138	127	1
34	0	21	24266	6943	32036	40	37	0
92	9	24	162901	42705	186646	254	245	1
93	7	41	109825	31808	102255	87	87	1
54	0	33	129838	26675	168237	178	177	1
144	0	32	37510	8435	64219	51	49	1
14	4	19	43750	7409	19630	49	49	1
61	4	20	40652	14993	76825	73	73	1
109	0	31	87771	36867	115338	176	177	1
38	0	31	85872	33835	109427	94	94	1
73	0	32	89275	24164	118168	120	117	1
75	1	18	44418	12607	84845	66	60	0
50	0	23	192565	22609	153197	56	55	1
61	1	17	35232	5892	29877	39	39	0
55	0	20	40909	17014	63506	66	64	0
77	0	12	13294	5394	22445	27	26	0
75	4	17	32387	9178	47695	65	64	0
72	0	30	140867	6440	68370	58	58	1
50	4	31	120662	21916	146304	98	95	1
32	4	10	21233	4011	38233	25	25	0
53	3	13	44332	5818	42071	26	26	0
42	0	22	61056	18647	50517	77	76	0
71	0	42	101338	20556	103950	130	129	1
10	0	1	1168	238	5841	11	11	1
35	5	9	13497	70	2341	2	2	0
65	0	32	65567	22392	84396	101	101	1
25	4	11	25162	3913	24610	31	28	1
66	0	25	32334	12237	35753	36	36	0
41	0	36	40735	8388	55515	120	89	1
86	1	31	91413	22120	209056	195	193	1
16	0	0	855	338	6622	4	4	1
42	5	24	97068	11727	115814	89	84	1
19	0	13	44339	3704	11609	24	23	0
19	0	8	14116	3988	13155	39	39	1
45	0	13	10288	3030	18274	14	14	0
65	0	19	65622	13520	72875	78	78	0
35	0	18	16563	1421	10112	15	14	0
95	2	33	76643	20923	142775	106	101	1
49	7	40	110681	20237	68847	83	82	1
37	1	22	29011	3219	17659	24	24	0
64	8	38	92696	3769	20112	37	36	1
38	2	24	94785	12252	61023	77	75	1
34	0	8	8773	1888	13983	16	16	1
32	2	35	83209	14497	65176	56	55	1
65	0	43	93815	28864	132432	132	131	1
52	0	43	86687	21721	112494	144	131	1
62	1	14	34553	4821	45109	40	39	0
65	3	41	105547	33644	170875	153	144	1
83	0	38	103487	15923	180759	143	139	1
95	3	45	213688	42935	214921	220	211	1
29	0	31	71220	18864	100226	79	78	1
18	0	13	23517	4977	32043	50	50	0
33	0	28	56926	7785	54454	39	39	1
247	4	31	91721	17939	78876	95	90	1
139	4	40	115168	23436	170745	169	166	1
29	11	30	111194	325	6940	12	12	1
118	0	16	51009	13539	49025	63	57	0
110	0	37	135777	34538	122037	134	133	1
67	4	30	51513	12198	53782	69	69	1
42	0	35	74163	26924	127748	119	119	1
65	1	32	51633	12716	86839	119	119	1
94	0	27	75345	8172	44830	75	65	1
64	0	20	33416	10855	77395	63	61	0
81	0	18	83305	11932	89324	55	49	0
95	9	31	98952	14300	103300	103	101	1
67	1	31	102372	25515	112283	197	196	1
63	3	21	37238	2805	10901	16	15	1
83	10	39	103772	29402	120691	140	136	1
45	5	41	123969	16440	58106	89	89	1
30	0	13	27142	11221	57140	40	40	0
70	2	32	135400	28732	122422	125	123	1
32	0	18	21399	5250	25899	21	21	0
83	1	39	130115	28608	139296	167	163	1
31	2	14	24874	8092	52678	32	29	0
67	4	7	34988	4473	23853	36	35	0
66	0	17	45549	1572	17306	13	13	0
10	0	0	6023	2065	7953	5	5	1
70	2	30	64466	14817	89455	96	96	1
103	1	37	54990	16714	147866	151	151	1
5	0	0	1644	556	4245	6	6	1
20	0	5	6179	2089	21509	13	13	1
5	0	1	3926	2658	7670	3	3	1
36	1	16	32755	10695	66675	57	56	0
34	0	32	34777	1669	14336	23	23	1
48	2	24	73224	16267	53608	61	57	1
40	0	17	27114	7768	30059	21	14	0
43	3	11	20760	7252	29668	43	43	0
31	6	24	37636	6387	22097	20	20	0
42	0	22	65461	18715	96841	82	72	0
46	2	12	30080	7936	41907	90	87	0
33	0	19	24094	8643	27080	25	21	0
18	2	13	69008	7294	35885	60	56	0
55	1	17	54968	4570	41247	61	59	0
35	1	15	46090	7185	28313	85	82	0
59	2	16	27507	10058	36845	43	43	0
19	1	24	10672	2342	16548	25	25	0
66	0	15	34029	8509	36134	41	38	0
60	1	17	46300	13275	55764	26	25	0
36	3	18	24760	6816	28910	38	38	0
25	0	20	18779	1930	13339	12	12	0
47	0	16	21280	8086	25319	29	29	0
54	0	16	40662	10737	66956	49	47	0
53	0	18	28987	8033	47487	46	45	0
40	1	22	22827	7058	52785	41	40	0
40	4	8	18513	6782	44683	31	30	0
39	0	17	30594	5401	35619	41	41	0
14	0	18	24006	6521	21920	26	25	0
45	0	16	27913	10856	45608	23	23	0
36	7	23	42744	2154	7721	14	14	0
28	2	22	12934	6117	20634	16	16	0
44	0	13	22574	5238	29788	25	26	0
30	7	13	41385	4820	31931	21	21	0
22	3	16	18653	5615	37754	32	27	0
17	0	16	18472	4272	32505	9	9	0
31	0	20	30976	8702	40557	35	33	0
55	6	22	63339	15340	94238	42	42	0
54	2	17	25568	8030	44197	68	68	0
21	0	18	33747	9526	43228	32	32	0
14	0	17	4154	1278	4103	6	6	0
81	3	12	19474	4236	44144	68	67	0
35	0	7	35130	3023	32868	33	33	0
43	1	17	39067	7196	27640	84	77	0
46	1	14	13310	3394	14063	46	46	0
30	0	23	65892	6371	28990	30	30	0
23	1	17	4143	1574	4694	0	0	0
38	0	14	28579	9620	42648	36	36	0
54	0	15	51776	6978	64329	47	46	0
20	0	17	21152	4911	21928	20	18	0
53	0	21	38084	8645	25836	50	48	0
45	0	18	27717	8987	22779	30	29	0
39	0	18	32928	5544	40820	30	28	0
20	0	17	11342	3083	27530	34	34	0
24	0	17	19499	6909	32378	33	33	0
31	0	16	16380	3189	10824	34	34	0
35	0	15	36874	6745	39613	37	33	0
151	0	21	48259	16724	60865	83	80	0
52	0	16	16734	4850	19787	32	32	0
30	2	14	28207	7025	20107	30	30	0
31	0	15	30143	6047	36605	43	41	0
29	1	17	41369	7377	40961	41	41	0
57	1	15	45833	9078	48231	51	51	0
40	0	15	29156	4605	39725	19	18	0
44	0	10	35944	3238	21455	37	34	0
25	0	6	36278	8100	23430	33	31	0
77	0	22	45588	9653	62991	41	39	0
35	0	21	45097	8914	49363	54	54	0
11	0	1	3895	786	9604	14	14	0
63	1	18	28394	6700	24552	25	24	0
44	0	17	18632	5788	31493	25	24	0
19	0	4	2325	593	3439	8	8	0
13	0	10	25139	4506	19555	26	26	0
42	0	16	27975	6382	21228	20	19	0
38	1	16	14483	5621	23177	11	11	0
29	0	9	13127	3997	22094	14	14	0
20	0	16	5839	520	2342	3	1	0
27	0	17	24069	8891	38798	40	39	0
20	0	7	3738	999	3255	5	5	0
19	0	15	18625	7067	24261	38	37	0
37	0	14	36341	4639	18511	32	32	0
26	0	14	24548	5654	40798	41	38	0
42	0	18	21792	6928	28893	46	47	0
49	0	12	26263	1514	21425	47	47	0
30	0	16	23686	9238	50276	37	37	0
49	0	21	49303	8204	37643	51	51	0
67	1	19	25659	5926	30377	49	45	0
28	0	16	28904	5785	27126	21	21	0
19	0	1	2781	4	13	1	1	0
49	1	16	29236	5930	42097	44	42	0
27	0	10	19546	3710	24451	26	26	0
30	6	19	22818	705	14335	21	21	0
22	3	12	32689	443	5084	4	4	0
12	1	2	5752	2416	9927	10	10	0
31	2	14	22197	7747	43527	43	43	0
20	0	17	20055	5432	27184	34	34	0
20	0	19	25272	4913	21610	32	31	0
39	0	14	82206	2650	20484	20	19	0
29	3	11	32073	2370	20156	34	34	0
16	1	4	5444	775	6012	6	6	0
27	0	16	20154	5576	18475	12	11	0
21	0	20	36944	1352	12645	24	24	0
19	1	12	8019	3080	11017	16	16	0
35	0	15	30884	10205	37623	72	72	0
14	0	16	19540	6095	35873	27	21	0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157502&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]5 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=157502&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157502&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	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=kendall)
	logins	shared_compendiums	compendiums_reviewed	totsize	totrevisions	totseconds	tothyperlinks	totblogs	course_cid
logins	1	0.208	0.453	0.474	0.482	0.522	0.513	0.512	0.346
shared_compendiums	0.208	1	0.262	0.301	0.192	0.219	0.223	0.227	0.333
compendiums_reviewed	0.453	0.262	1	0.582	0.548	0.554	0.557	0.556	0.594
totsize	0.474	0.301	0.582	1	0.649	0.657	0.655	0.656	0.544
totrevisions	0.482	0.192	0.548	0.649	1	0.75	0.716	0.715	0.484
totseconds	0.522	0.219	0.554	0.657	0.75	1	0.734	0.732	0.518
tothyperlinks	0.513	0.223	0.557	0.655	0.716	0.734	1	0.98	0.509
totblogs	0.512	0.227	0.556	0.656	0.715	0.732	0.98	1	0.513
course_cid	0.346	0.333	0.594	0.544	0.484	0.518	0.509	0.513	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & logins & shared_compendiums & compendiums_reviewed & totsize & totrevisions & totseconds & tothyperlinks & totblogs & course_cid \tabularnewline
logins & 1 & 0.208 & 0.453 & 0.474 & 0.482 & 0.522 & 0.513 & 0.512 & 0.346 \tabularnewline
shared_compendiums & 0.208 & 1 & 0.262 & 0.301 & 0.192 & 0.219 & 0.223 & 0.227 & 0.333 \tabularnewline
compendiums_reviewed & 0.453 & 0.262 & 1 & 0.582 & 0.548 & 0.554 & 0.557 & 0.556 & 0.594 \tabularnewline
totsize & 0.474 & 0.301 & 0.582 & 1 & 0.649 & 0.657 & 0.655 & 0.656 & 0.544 \tabularnewline
totrevisions & 0.482 & 0.192 & 0.548 & 0.649 & 1 & 0.75 & 0.716 & 0.715 & 0.484 \tabularnewline
totseconds & 0.522 & 0.219 & 0.554 & 0.657 & 0.75 & 1 & 0.734 & 0.732 & 0.518 \tabularnewline
tothyperlinks & 0.513 & 0.223 & 0.557 & 0.655 & 0.716 & 0.734 & 1 & 0.98 & 0.509 \tabularnewline
totblogs & 0.512 & 0.227 & 0.556 & 0.656 & 0.715 & 0.732 & 0.98 & 1 & 0.513 \tabularnewline
course_cid & 0.346 & 0.333 & 0.594 & 0.544 & 0.484 & 0.518 & 0.509 & 0.513 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157502&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]logins[/C][C]shared_compendiums[/C][C]compendiums_reviewed[/C][C]totsize[/C][C]totrevisions[/C][C]totseconds[/C][C]tothyperlinks[/C][C]totblogs[/C][C]course_cid[/C][/ROW]
[ROW][C]logins[/C][C]1[/C][C]0.208[/C][C]0.453[/C][C]0.474[/C][C]0.482[/C][C]0.522[/C][C]0.513[/C][C]0.512[/C][C]0.346[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.208[/C][C]1[/C][C]0.262[/C][C]0.301[/C][C]0.192[/C][C]0.219[/C][C]0.223[/C][C]0.227[/C][C]0.333[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.453[/C][C]0.262[/C][C]1[/C][C]0.582[/C][C]0.548[/C][C]0.554[/C][C]0.557[/C][C]0.556[/C][C]0.594[/C][/ROW]
[ROW][C]totsize[/C][C]0.474[/C][C]0.301[/C][C]0.582[/C][C]1[/C][C]0.649[/C][C]0.657[/C][C]0.655[/C][C]0.656[/C][C]0.544[/C][/ROW]
[ROW][C]totrevisions[/C][C]0.482[/C][C]0.192[/C][C]0.548[/C][C]0.649[/C][C]1[/C][C]0.75[/C][C]0.716[/C][C]0.715[/C][C]0.484[/C][/ROW]
[ROW][C]totseconds[/C][C]0.522[/C][C]0.219[/C][C]0.554[/C][C]0.657[/C][C]0.75[/C][C]1[/C][C]0.734[/C][C]0.732[/C][C]0.518[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.513[/C][C]0.223[/C][C]0.557[/C][C]0.655[/C][C]0.716[/C][C]0.734[/C][C]1[/C][C]0.98[/C][C]0.509[/C][/ROW]
[ROW][C]totblogs[/C][C]0.512[/C][C]0.227[/C][C]0.556[/C][C]0.656[/C][C]0.715[/C][C]0.732[/C][C]0.98[/C][C]1[/C][C]0.513[/C][/ROW]
[ROW][C]course_cid[/C][C]0.346[/C][C]0.333[/C][C]0.594[/C][C]0.544[/C][C]0.484[/C][C]0.518[/C][C]0.509[/C][C]0.513[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157502&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157502&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)
	logins	shared_compendiums	compendiums_reviewed	totsize	totrevisions	totseconds	tothyperlinks	totblogs	course_cid
logins	1	0.208	0.453	0.474	0.482	0.522	0.513	0.512	0.346
shared_compendiums	0.208	1	0.262	0.301	0.192	0.219	0.223	0.227	0.333
compendiums_reviewed	0.453	0.262	1	0.582	0.548	0.554	0.557	0.556	0.594
totsize	0.474	0.301	0.582	1	0.649	0.657	0.655	0.656	0.544
totrevisions	0.482	0.192	0.548	0.649	1	0.75	0.716	0.715	0.484
totseconds	0.522	0.219	0.554	0.657	0.75	1	0.734	0.732	0.518
tothyperlinks	0.513	0.223	0.557	0.655	0.716	0.734	1	0.98	0.509
totblogs	0.512	0.227	0.556	0.656	0.715	0.732	0.98	1	0.513
course_cid	0.346	0.333	0.594	0.544	0.484	0.518	0.509	0.513	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
logins;shared_compendiums	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;totsize	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
logins;totrevisions	0.5339	0.6727	0.4818
p-value	(0)	(0)	(0)
logins;totseconds	0.6055	0.7124	0.5221
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)
logins;course_cid	0.3603	0.4207	0.346
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;totsize	0.3861	0.4032	0.3007
p-value	(0)	(0)	(0)
shared_compendiums;totrevisions	0.2304	0.2573	0.1924
p-value	(1e-04)	(0)	(0)
shared_compendiums;totseconds	0.2537	0.2917	0.2192
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)
shared_compendiums;course_cid	0.3729	0.37	0.3325
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
compendiums_reviewed;totrevisions	0.6978	0.7429	0.5478
p-value	(0)	(0)	(0)
compendiums_reviewed;totseconds	0.7321	0.7607	0.5536
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)
compendiums_reviewed;course_cid	0.6787	0.7165	0.5942
p-value	(0)	(0)	(0)
totsize;totrevisions	0.8078	0.8289	0.6491
p-value	(0)	(0)	(0)
totsize;totseconds	0.8232	0.8415	0.6567
p-value	(0)	(0)	(0)
totsize;tothyperlinks	0.7978	0.8384	0.6548
p-value	(0)	(0)	(0)
totsize;totblogs	0.7983	0.8394	0.6562
p-value	(0)	(0)	(0)
totsize;course_cid	0.6337	0.6651	0.544
p-value	(0)	(0)	(0)
totrevisions;totseconds	0.8746	0.9185	0.7495
p-value	(0)	(0)	(0)
totrevisions;tothyperlinks	0.8746	0.8939	0.7162
p-value	(0)	(0)	(0)
totrevisions;totblogs	0.8759	0.894	0.7151
p-value	(0)	(0)	(0)
totrevisions;course_cid	0.5928	0.5913	0.4836
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)
totseconds;course_cid	0.625	0.6336	0.5182
p-value	(0)	(0)	(0)
tothyperlinks;totblogs	0.9983	0.9987	0.9803
p-value	(0)	(0)	(0)
tothyperlinks;course_cid	0.6123	0.6202	0.509
p-value	(0)	(0)	(0)
totblogs;course_cid	0.616	0.6252	0.513
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
logins;shared_compendiums & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize & 0.5364 & 0.6588 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totrevisions & 0.5339 & 0.6727 & 0.4818 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totseconds & 0.6055 & 0.7124 & 0.5221 \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
logins;course_cid & 0.3603 & 0.4207 & 0.346 \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;totsize & 0.3861 & 0.4032 & 0.3007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;totrevisions & 0.2304 & 0.2573 & 0.1924 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
shared_compendiums;totseconds & 0.2537 & 0.2917 & 0.2192 \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
shared_compendiums;course_cid & 0.3729 & 0.37 & 0.3325 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totsize & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totrevisions & 0.6978 & 0.7429 & 0.5478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totseconds & 0.7321 & 0.7607 & 0.5536 \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
compendiums_reviewed;course_cid & 0.6787 & 0.7165 & 0.5942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totrevisions & 0.8078 & 0.8289 & 0.6491 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totseconds & 0.8232 & 0.8415 & 0.6567 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tothyperlinks & 0.7978 & 0.8384 & 0.6548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totblogs & 0.7983 & 0.8394 & 0.6562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;course_cid & 0.6337 & 0.6651 & 0.544 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;totseconds & 0.8746 & 0.9185 & 0.7495 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;tothyperlinks & 0.8746 & 0.8939 & 0.7162 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;totblogs & 0.8759 & 0.894 & 0.7151 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;course_cid & 0.5928 & 0.5913 & 0.4836 \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
totseconds;course_cid & 0.625 & 0.6336 & 0.5182 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tothyperlinks;totblogs & 0.9983 & 0.9987 & 0.9803 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tothyperlinks;course_cid & 0.6123 & 0.6202 & 0.509 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totblogs;course_cid & 0.616 & 0.6252 & 0.513 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157502&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]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;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;totsize[/C][C]0.5364[/C][C]0.6588[/C][C]0.4742[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totrevisions[/C][C]0.5339[/C][C]0.6727[/C][C]0.4818[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totseconds[/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]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]logins;course_cid[/C][C]0.3603[/C][C]0.4207[/C][C]0.346[/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;totsize[/C][C]0.3861[/C][C]0.4032[/C][C]0.3007[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;totrevisions[/C][C]0.2304[/C][C]0.2573[/C][C]0.1924[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;totseconds[/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]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]shared_compendiums;course_cid[/C][C]0.3729[/C][C]0.37[/C][C]0.3325[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totsize[/C][C]0.7345[/C][C]0.7899[/C][C]0.5825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totrevisions[/C][C]0.6978[/C][C]0.7429[/C][C]0.5478[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totseconds[/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]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]compendiums_reviewed;course_cid[/C][C]0.6787[/C][C]0.7165[/C][C]0.5942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totrevisions[/C][C]0.8078[/C][C]0.8289[/C][C]0.6491[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totseconds[/C][C]0.8232[/C][C]0.8415[/C][C]0.6567[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;tothyperlinks[/C][C]0.7978[/C][C]0.8384[/C][C]0.6548[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totblogs[/C][C]0.7983[/C][C]0.8394[/C][C]0.6562[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;course_cid[/C][C]0.6337[/C][C]0.6651[/C][C]0.544[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;totseconds[/C][C]0.8746[/C][C]0.9185[/C][C]0.7495[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;tothyperlinks[/C][C]0.8746[/C][C]0.8939[/C][C]0.7162[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;totblogs[/C][C]0.8759[/C][C]0.894[/C][C]0.7151[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;course_cid[/C][C]0.5928[/C][C]0.5913[/C][C]0.4836[/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]totseconds;course_cid[/C][C]0.625[/C][C]0.6336[/C][C]0.5182[/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]
[ROW][C]tothyperlinks;course_cid[/C][C]0.6123[/C][C]0.6202[/C][C]0.509[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totblogs;course_cid[/C][C]0.616[/C][C]0.6252[/C][C]0.513[/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=157502&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157502&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
logins;shared_compendiums	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;totsize	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
logins;totrevisions	0.5339	0.6727	0.4818
p-value	(0)	(0)	(0)
logins;totseconds	0.6055	0.7124	0.5221
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)
logins;course_cid	0.3603	0.4207	0.346
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;totsize	0.3861	0.4032	0.3007
p-value	(0)	(0)	(0)
shared_compendiums;totrevisions	0.2304	0.2573	0.1924
p-value	(1e-04)	(0)	(0)
shared_compendiums;totseconds	0.2537	0.2917	0.2192
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)
shared_compendiums;course_cid	0.3729	0.37	0.3325
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
compendiums_reviewed;totrevisions	0.6978	0.7429	0.5478
p-value	(0)	(0)	(0)
compendiums_reviewed;totseconds	0.7321	0.7607	0.5536
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)
compendiums_reviewed;course_cid	0.6787	0.7165	0.5942
p-value	(0)	(0)	(0)
totsize;totrevisions	0.8078	0.8289	0.6491
p-value	(0)	(0)	(0)
totsize;totseconds	0.8232	0.8415	0.6567
p-value	(0)	(0)	(0)
totsize;tothyperlinks	0.7978	0.8384	0.6548
p-value	(0)	(0)	(0)
totsize;totblogs	0.7983	0.8394	0.6562
p-value	(0)	(0)	(0)
totsize;course_cid	0.6337	0.6651	0.544
p-value	(0)	(0)	(0)
totrevisions;totseconds	0.8746	0.9185	0.7495
p-value	(0)	(0)	(0)
totrevisions;tothyperlinks	0.8746	0.8939	0.7162
p-value	(0)	(0)	(0)
totrevisions;totblogs	0.8759	0.894	0.7151
p-value	(0)	(0)	(0)
totrevisions;course_cid	0.5928	0.5913	0.4836
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)
totseconds;course_cid	0.625	0.6336	0.5182
p-value	(0)	(0)	(0)
tothyperlinks;totblogs	0.9983	0.9987	0.9803
p-value	(0)	(0)	(0)
tothyperlinks;course_cid	0.6123	0.6202	0.509
p-value	(0)	(0)	(0)
totblogs;course_cid	0.616	0.6252	0.513
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