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*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

Tue, 20 Dec 2011 17:38:04 -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/20/t132442072917e7ifsoc0mfuix.htm/, Retrieved Mon, 06 May 2024 00:24:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158324, Retrieved Mon, 06 May 2024 00:24:59 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

121

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Kendall tau Correlation Matrix] [paper statistiek,...] [2011-12-19 15:59:25] [4b648d52023f19d55c572f0eddd72b1f]
-    D    [Kendall tau Correlation Matrix] [PAPER - DEEL 3 - ...] [2011-12-20 22:38:04] [e524eb56e6915a531809c7eb50783bc6] [Current]
-    D      [Kendall tau Correlation Matrix] [PAPER - DEEL 3 - ...] [2011-12-21 00:28:26] [da10aa57c5e54f8a2ad733cadd93c4c3] 
-             [Kendall tau Correlation Matrix] [PAPER - DEEL 3 - ...] [2011-12-21 00:30:23] [da10aa57c5e54f8a2ad733cadd93c4c3] 
-   P           [Kendall tau Correlation Matrix] [PAPER - DEEL 3 - ...] [2011-12-21 08:03:17] [da10aa57c5e54f8a2ad733cadd93c4c3] 

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Dataseries X:

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210907	30	94	112285	146283	144	145	2
179321	30	103	101193	96933	135	132	4
149061	26	93	116174	95757	84	84	0
237213	38	123	66198	143983	130	127	0
173326	44	148	71701	75851	82	78	-4
133131	30	90	57793	59238	60	60	4
258873	40	124	80444	93163	131	131	4
324799	47	168	97668	151511	140	133	0
230964	30	115	133824	136368	151	150	-1
236785	31	71	101481	112642	91	91	0
344297	30	108	67654	127766	119	118	1
174724	34	120	69112	85646	123	119	0
174415	31	114	82753	98579	90	89	3
223632	33	120	72654	131741	113	108	-1
294424	33	124	101494	171975	175	162	4
325107	36	126	79215	159676	96	92	3
106408	14	37	31081	58391	41	41	1
96560	17	38	22996	31580	47	47	0
265769	32	120	83122	136815	126	120	-2
269651	30	93	70106	120642	105	105	-3
149112	35	95	60578	69107	80	79	-4
152871	28	90	79892	108016	73	70	2
362301	34	110	100708	79336	68	67	2
183167	39	138	82875	93176	127	127	-4
277965	39	133	139077	161632	154	152	3
218946	29	96	80670	102996	112	109	2
244052	44	164	143558	160604	137	133	2
341570	21	78	117105	158051	135	123	0
233328	28	102	120733	162647	230	230	5
206161	28	99	73107	60622	71	68	-2
311473	38	129	132068	179566	147	147	0
207176	32	114	87011	96144	105	101	-2
196553	29	99	95260	129847	107	108	-3
143246	27	104	106671	71180	116	114	2
182192	40	138	70054	86767	89	88	2
194979	40	151	74011	93487	84	83	2
167488	28	72	83737	82981	113	113	0
143756	34	120	69094	73815	120	118	4
275541	33	115	93133	94552	110	110	4
152299	33	98	61370	67808	78	76	2
193339	35	71	84651	106175	145	141	2
130585	29	107	95364	76669	91	91	-4
112611	20	73	26706	57283	48	48	3
148446	37	129	126846	72413	150	144	3
182079	33	118	102860	96971	181	168	2
243060	29	104	111813	120336	121	117	-1
162765	28	107	120293	93913	99	100	-3
85574	21	36	24266	32036	40	37	0
225060	41	139	109825	102255	87	87	1
133328	20	56	40909	63506	66	64	-3
100750	30	93	140867	68370	58	58	3
101523	22	87	61056	50517	77	76	0
243511	42	110	101338	103950	130	129	0
152474	32	83	65567	84396	101	101	0
132487	36	98	40735	55515	120	89	3
317394	31	82	91413	209056	195	193	-3
244749	33	115	76643	142775	106	101	0
184510	40	140	110681	68847	83	82	-4
128423	38	120	92696	20112	37	36	2
97839	24	66	94785	61023	77	75	-1
172494	43	139	86687	112494	144	131	3
229242	31	119	91721	78876	95	90	2
351619	40	141	115168	170745	169	166	5
324598	37	133	135777	122037	134	133	2
195838	31	98	102372	112283	197	196	-2
254488	39	117	103772	120691	140	136	0
199476	32	105	135400	122422	125	123	3
92499	18	55	21399	25899	21	21	-2
224330	39	132	130115	139296	167	163	0
181633	30	73	64466	89455	96	96	6
271856	37	86	54990	147866	151	151	-3
95227	32	48	34777	14336	23	23	3
98146	17	48	27114	30059	21	14	0
118612	12	43	30080	41907	90	87	-2
65475	13	46	69008	35885	60	56	1
108446	17	65	46300	55764	26	25	0
121848	17	52	30594	35619	41	41	2
76302	20	68	30976	40557	35	33	2
98104	17	47	25568	44197	68	68	-3
30989	17	41	4154	4103	6	6	-2
31774	17	47	4143	4694	0	0	1
150580	22	71	45588	62991	41	39	-4
54157	15	30	18625	24261	38	37	0
59382	12	24	26263	21425	47	47	1
84105	17	63	20055	27184	34	34	0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158324&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158324&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Correlations for all pairs of data series (method=pearson)
	time_in_rfc	compendiums_reviewed	feedback_messages_p120	totsize	totseconds	tothyperlinks)	totblogs	sum_testscore
time_in_rfc	1	0.635	0.654	0.632	0.861	0.696	0.699	0.111
compendiums_reviewed	0.635	1	0.897	0.635	0.595	0.596	0.591	0.156
feedback_messages_p120	0.654	0.897	1	0.706	0.628	0.603	0.598	0.143
totsize	0.632	0.635	0.706	1	0.702	0.706	0.716	0.171
totseconds	0.861	0.595	0.628	0.702	1	0.834	0.838	0.085
tothyperlinks)	0.696	0.596	0.603	0.706	0.834	1	0.996	0.151
totblogs	0.699	0.591	0.598	0.716	0.838	0.996	1	0.138
sum_testscore	0.111	0.156	0.143	0.171	0.085	0.151	0.138	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_in_rfc & compendiums_reviewed & feedback_messages_p120 & totsize & totseconds & tothyperlinks) & totblogs & sum_testscore \tabularnewline
time_in_rfc & 1 & 0.635 & 0.654 & 0.632 & 0.861 & 0.696 & 0.699 & 0.111 \tabularnewline
compendiums_reviewed & 0.635 & 1 & 0.897 & 0.635 & 0.595 & 0.596 & 0.591 & 0.156 \tabularnewline
feedback_messages_p120 & 0.654 & 0.897 & 1 & 0.706 & 0.628 & 0.603 & 0.598 & 0.143 \tabularnewline
totsize & 0.632 & 0.635 & 0.706 & 1 & 0.702 & 0.706 & 0.716 & 0.171 \tabularnewline
totseconds & 0.861 & 0.595 & 0.628 & 0.702 & 1 & 0.834 & 0.838 & 0.085 \tabularnewline
tothyperlinks) & 0.696 & 0.596 & 0.603 & 0.706 & 0.834 & 1 & 0.996 & 0.151 \tabularnewline
totblogs & 0.699 & 0.591 & 0.598 & 0.716 & 0.838 & 0.996 & 1 & 0.138 \tabularnewline
sum_testscore & 0.111 & 0.156 & 0.143 & 0.171 & 0.085 & 0.151 & 0.138 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158324&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]time_in_rfc[/C][C]compendiums_reviewed[/C][C]feedback_messages_p120[/C][C]totsize[/C][C]totseconds[/C][C]tothyperlinks)[/C][C]totblogs[/C][C]sum_testscore[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.635[/C][C]0.654[/C][C]0.632[/C][C]0.861[/C][C]0.696[/C][C]0.699[/C][C]0.111[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.635[/C][C]1[/C][C]0.897[/C][C]0.635[/C][C]0.595[/C][C]0.596[/C][C]0.591[/C][C]0.156[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.654[/C][C]0.897[/C][C]1[/C][C]0.706[/C][C]0.628[/C][C]0.603[/C][C]0.598[/C][C]0.143[/C][/ROW]
[ROW][C]totsize[/C][C]0.632[/C][C]0.635[/C][C]0.706[/C][C]1[/C][C]0.702[/C][C]0.706[/C][C]0.716[/C][C]0.171[/C][/ROW]
[ROW][C]totseconds[/C][C]0.861[/C][C]0.595[/C][C]0.628[/C][C]0.702[/C][C]1[/C][C]0.834[/C][C]0.838[/C][C]0.085[/C][/ROW]
[ROW][C]tothyperlinks)[/C][C]0.696[/C][C]0.596[/C][C]0.603[/C][C]0.706[/C][C]0.834[/C][C]1[/C][C]0.996[/C][C]0.151[/C][/ROW]
[ROW][C]totblogs[/C][C]0.699[/C][C]0.591[/C][C]0.598[/C][C]0.716[/C][C]0.838[/C][C]0.996[/C][C]1[/C][C]0.138[/C][/ROW]
[ROW][C]sum_testscore[/C][C]0.111[/C][C]0.156[/C][C]0.143[/C][C]0.171[/C][C]0.085[/C][C]0.151[/C][C]0.138[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158324&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)
	time_in_rfc	compendiums_reviewed	feedback_messages_p120	totsize	totseconds	tothyperlinks)	totblogs	sum_testscore
time_in_rfc	1	0.635	0.654	0.632	0.861	0.696	0.699	0.111
compendiums_reviewed	0.635	1	0.897	0.635	0.595	0.596	0.591	0.156
feedback_messages_p120	0.654	0.897	1	0.706	0.628	0.603	0.598	0.143
totsize	0.632	0.635	0.706	1	0.702	0.706	0.716	0.171
totseconds	0.861	0.595	0.628	0.702	1	0.834	0.838	0.085
tothyperlinks)	0.696	0.596	0.603	0.706	0.834	1	0.996	0.151
totblogs	0.699	0.591	0.598	0.716	0.838	0.996	1	0.138
sum_testscore	0.111	0.156	0.143	0.171	0.085	0.151	0.138	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
time_in_rfc;compendiums_reviewed	0.6352	0.6293	0.453
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p120	0.6536	0.6597	0.4831
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.632	0.6239	0.4689
p-value	(0)	(0)	(0)
time_in_rfc;totseconds	0.8607	0.8872	0.7221
p-value	(0)	(0)	(0)
time_in_rfc;tothyperlinks)	0.696	0.7395	0.5534
p-value	(0)	(0)	(0)
time_in_rfc;totblogs	0.6989	0.7509	0.5637
p-value	(0)	(0)	(0)
time_in_rfc;sum_testscore	0.1108	0.0834	0.062
p-value	(0.3129)	(0.4478)	(0.4262)
compendiums_reviewed;feedback_messages_p120	0.8967	0.8685	0.7242
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.6346	0.5081	0.3473
p-value	(0)	(0)	(0)
compendiums_reviewed;totseconds	0.5953	0.5547	0.4039
p-value	(0)	(0)	(0)
compendiums_reviewed;tothyperlinks)	0.5962	0.582	0.4222
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.5908	0.5788	0.4124
p-value	(0)	(0)	(0)
compendiums_reviewed;sum_testscore	0.1561	0.1905	0.1253
p-value	(0.1538)	(0.0808)	(0.1143)
feedback_messages_p120;totsize	0.7062	0.6348	0.4533
p-value	(0)	(0)	(0)
feedback_messages_p120;totseconds	0.628	0.6089	0.4443
p-value	(0)	(0)	(0)
feedback_messages_p120;tothyperlinks)	0.6034	0.6002	0.4342
p-value	(0)	(0)	(0)
feedback_messages_p120;totblogs	0.5976	0.6025	0.4356
p-value	(0)	(0)	(0)
feedback_messages_p120;sum_testscore	0.1431	0.1838	0.1271
p-value	(0.1914)	(0.0922)	(0.1046)
totsize;totseconds	0.7021	0.6926	0.5238
p-value	(0)	(0)	(0)
totsize;tothyperlinks)	0.7059	0.6896	0.5112
p-value	(0)	(0)	(0)
totsize;totblogs	0.7163	0.7022	0.5249
p-value	(0)	(0)	(0)
totsize;sum_testscore	0.1711	0.1658	0.1195
p-value	(0.1175)	(0.1294)	(0.1251)
totseconds;tothyperlinks)	0.8335	0.8435	0.6725
p-value	(0)	(0)	(0)
totseconds;totblogs	0.8384	0.8539	0.676
p-value	(0)	(0)	(0)
totseconds;sum_testscore	0.0848	0.0827	0.0578
p-value	(0.4404)	(0.4516)	(0.4581)
tothyperlinks);totblogs	0.9959	0.9949	0.9694
p-value	(0)	(0)	(0)
tothyperlinks);sum_testscore	0.1509	0.1485	0.1127
p-value	(0.1681)	(0.175)	(0.1494)
totblogs;sum_testscore	0.1381	0.1398	0.1057
p-value	(0.2074)	(0.2018)	(0.1759)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
time_in_rfc;compendiums_reviewed & 0.6352 & 0.6293 & 0.453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p120 & 0.6536 & 0.6597 & 0.4831 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totsize & 0.632 & 0.6239 & 0.4689 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totseconds & 0.8607 & 0.8872 & 0.7221 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;tothyperlinks) & 0.696 & 0.7395 & 0.5534 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totblogs & 0.6989 & 0.7509 & 0.5637 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;sum_testscore & 0.1108 & 0.0834 & 0.062 \tabularnewline
p-value & (0.3129) & (0.4478) & (0.4262) \tabularnewline
compendiums_reviewed;feedback_messages_p120 & 0.8967 & 0.8685 & 0.7242 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totsize & 0.6346 & 0.5081 & 0.3473 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totseconds & 0.5953 & 0.5547 & 0.4039 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;tothyperlinks) & 0.5962 & 0.582 & 0.4222 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totblogs & 0.5908 & 0.5788 & 0.4124 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;sum_testscore & 0.1561 & 0.1905 & 0.1253 \tabularnewline
p-value & (0.1538) & (0.0808) & (0.1143) \tabularnewline
feedback_messages_p120;totsize & 0.7062 & 0.6348 & 0.4533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totseconds & 0.628 & 0.6089 & 0.4443 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;tothyperlinks) & 0.6034 & 0.6002 & 0.4342 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totblogs & 0.5976 & 0.6025 & 0.4356 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;sum_testscore & 0.1431 & 0.1838 & 0.1271 \tabularnewline
p-value & (0.1914) & (0.0922) & (0.1046) \tabularnewline
totsize;totseconds & 0.7021 & 0.6926 & 0.5238 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tothyperlinks) & 0.7059 & 0.6896 & 0.5112 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totblogs & 0.7163 & 0.7022 & 0.5249 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;sum_testscore & 0.1711 & 0.1658 & 0.1195 \tabularnewline
p-value & (0.1175) & (0.1294) & (0.1251) \tabularnewline
totseconds;tothyperlinks) & 0.8335 & 0.8435 & 0.6725 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;totblogs & 0.8384 & 0.8539 & 0.676 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;sum_testscore & 0.0848 & 0.0827 & 0.0578 \tabularnewline
p-value & (0.4404) & (0.4516) & (0.4581) \tabularnewline
tothyperlinks);totblogs & 0.9959 & 0.9949 & 0.9694 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tothyperlinks);sum_testscore & 0.1509 & 0.1485 & 0.1127 \tabularnewline
p-value & (0.1681) & (0.175) & (0.1494) \tabularnewline
totblogs;sum_testscore & 0.1381 & 0.1398 & 0.1057 \tabularnewline
p-value & (0.2074) & (0.2018) & (0.1759) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158324&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]time_in_rfc;compendiums_reviewed[/C][C]0.6352[/C][C]0.6293[/C][C]0.453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;feedback_messages_p120[/C][C]0.6536[/C][C]0.6597[/C][C]0.4831[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totsize[/C][C]0.632[/C][C]0.6239[/C][C]0.4689[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totseconds[/C][C]0.8607[/C][C]0.8872[/C][C]0.7221[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;tothyperlinks)[/C][C]0.696[/C][C]0.7395[/C][C]0.5534[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totblogs[/C][C]0.6989[/C][C]0.7509[/C][C]0.5637[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;sum_testscore[/C][C]0.1108[/C][C]0.0834[/C][C]0.062[/C][/ROW]
[ROW][C]p-value[/C][C](0.3129)[/C][C](0.4478)[/C][C](0.4262)[/C][/ROW]
[ROW][C]compendiums_reviewed;feedback_messages_p120[/C][C]0.8967[/C][C]0.8685[/C][C]0.7242[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totsize[/C][C]0.6346[/C][C]0.5081[/C][C]0.3473[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totseconds[/C][C]0.5953[/C][C]0.5547[/C][C]0.4039[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;tothyperlinks)[/C][C]0.5962[/C][C]0.582[/C][C]0.4222[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totblogs[/C][C]0.5908[/C][C]0.5788[/C][C]0.4124[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;sum_testscore[/C][C]0.1561[/C][C]0.1905[/C][C]0.1253[/C][/ROW]
[ROW][C]p-value[/C][C](0.1538)[/C][C](0.0808)[/C][C](0.1143)[/C][/ROW]
[ROW][C]feedback_messages_p120;totsize[/C][C]0.7062[/C][C]0.6348[/C][C]0.4533[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;totseconds[/C][C]0.628[/C][C]0.6089[/C][C]0.4443[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;tothyperlinks)[/C][C]0.6034[/C][C]0.6002[/C][C]0.4342[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;totblogs[/C][C]0.5976[/C][C]0.6025[/C][C]0.4356[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;sum_testscore[/C][C]0.1431[/C][C]0.1838[/C][C]0.1271[/C][/ROW]
[ROW][C]p-value[/C][C](0.1914)[/C][C](0.0922)[/C][C](0.1046)[/C][/ROW]
[ROW][C]totsize;totseconds[/C][C]0.7021[/C][C]0.6926[/C][C]0.5238[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;tothyperlinks)[/C][C]0.7059[/C][C]0.6896[/C][C]0.5112[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totblogs[/C][C]0.7163[/C][C]0.7022[/C][C]0.5249[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;sum_testscore[/C][C]0.1711[/C][C]0.1658[/C][C]0.1195[/C][/ROW]
[ROW][C]p-value[/C][C](0.1175)[/C][C](0.1294)[/C][C](0.1251)[/C][/ROW]
[ROW][C]totseconds;tothyperlinks)[/C][C]0.8335[/C][C]0.8435[/C][C]0.6725[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;totblogs[/C][C]0.8384[/C][C]0.8539[/C][C]0.676[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;sum_testscore[/C][C]0.0848[/C][C]0.0827[/C][C]0.0578[/C][/ROW]
[ROW][C]p-value[/C][C](0.4404)[/C][C](0.4516)[/C][C](0.4581)[/C][/ROW]
[ROW][C]tothyperlinks);totblogs[/C][C]0.9959[/C][C]0.9949[/C][C]0.9694[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tothyperlinks);sum_testscore[/C][C]0.1509[/C][C]0.1485[/C][C]0.1127[/C][/ROW]
[ROW][C]p-value[/C][C](0.1681)[/C][C](0.175)[/C][C](0.1494)[/C][/ROW]
[ROW][C]totblogs;sum_testscore[/C][C]0.1381[/C][C]0.1398[/C][C]0.1057[/C][/ROW]
[ROW][C]p-value[/C][C](0.2074)[/C][C](0.2018)[/C][C](0.1759)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158324&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158324&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
time_in_rfc;compendiums_reviewed	0.6352	0.6293	0.453
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p120	0.6536	0.6597	0.4831
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.632	0.6239	0.4689
p-value	(0)	(0)	(0)
time_in_rfc;totseconds	0.8607	0.8872	0.7221
p-value	(0)	(0)	(0)
time_in_rfc;tothyperlinks)	0.696	0.7395	0.5534
p-value	(0)	(0)	(0)
time_in_rfc;totblogs	0.6989	0.7509	0.5637
p-value	(0)	(0)	(0)
time_in_rfc;sum_testscore	0.1108	0.0834	0.062
p-value	(0.3129)	(0.4478)	(0.4262)
compendiums_reviewed;feedback_messages_p120	0.8967	0.8685	0.7242
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.6346	0.5081	0.3473
p-value	(0)	(0)	(0)
compendiums_reviewed;totseconds	0.5953	0.5547	0.4039
p-value	(0)	(0)	(0)
compendiums_reviewed;tothyperlinks)	0.5962	0.582	0.4222
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.5908	0.5788	0.4124
p-value	(0)	(0)	(0)
compendiums_reviewed;sum_testscore	0.1561	0.1905	0.1253
p-value	(0.1538)	(0.0808)	(0.1143)
feedback_messages_p120;totsize	0.7062	0.6348	0.4533
p-value	(0)	(0)	(0)
feedback_messages_p120;totseconds	0.628	0.6089	0.4443
p-value	(0)	(0)	(0)
feedback_messages_p120;tothyperlinks)	0.6034	0.6002	0.4342
p-value	(0)	(0)	(0)
feedback_messages_p120;totblogs	0.5976	0.6025	0.4356
p-value	(0)	(0)	(0)
feedback_messages_p120;sum_testscore	0.1431	0.1838	0.1271
p-value	(0.1914)	(0.0922)	(0.1046)
totsize;totseconds	0.7021	0.6926	0.5238
p-value	(0)	(0)	(0)
totsize;tothyperlinks)	0.7059	0.6896	0.5112
p-value	(0)	(0)	(0)
totsize;totblogs	0.7163	0.7022	0.5249
p-value	(0)	(0)	(0)
totsize;sum_testscore	0.1711	0.1658	0.1195
p-value	(0.1175)	(0.1294)	(0.1251)
totseconds;tothyperlinks)	0.8335	0.8435	0.6725
p-value	(0)	(0)	(0)
totseconds;totblogs	0.8384	0.8539	0.676
p-value	(0)	(0)	(0)
totseconds;sum_testscore	0.0848	0.0827	0.0578
p-value	(0.4404)	(0.4516)	(0.4581)
tothyperlinks);totblogs	0.9959	0.9949	0.9694
p-value	(0)	(0)	(0)
tothyperlinks);sum_testscore	0.1509	0.1485	0.1127
p-value	(0.1681)	(0.175)	(0.1494)
totblogs;sum_testscore	0.1381	0.1398	0.1057
p-value	(0.2074)	(0.2018)	(0.1759)

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