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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

Thu, 22 Dec 2011 04:35:12 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324546526mny1j73ys0ousxi.htm/, Retrieved Fri, 03 May 2024 04:05:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159203, Retrieved Fri, 03 May 2024 04:05:23 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

135

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 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [pearson ] [2011-12-22 09:35:12] [7a9c06361804aa08030831b1a7a7bafa] [Current]
- R  D      [Kendall tau Correlation Matrix] [] [2011-12-22 10:38:15] [489eb911c8db04aca1fc54d886fc3144] 

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210907	56	3	30	94	145	112285
120982	56	4	28	103	101	84786
176508	54	12	38	93	98	83123
179321	89	2	30	103	132	101193
123185	40	1	22	51	60	38361
52746	25	3	26	70	38	68504
385534	92	0	25	91	144	119182
33170	18	0	18	22	5	22807
101645	63	0	11	38	28	17140
149061	44	5	26	93	84	116174
165446	33	0	25	60	79	57635
237213	84	0	38	123	127	66198
173326	88	7	44	148	78	71701
133131	55	7	30	90	60	57793
258873	60	3	40	124	131	80444
180083	66	9	34	70	84	53855
324799	154	0	47	168	133	97668
230964	53	4	30	115	150	133824
236785	119	3	31	71	91	101481
135473	41	0	23	66	132	99645
202925	61	7	36	134	136	114789
215147	58	0	36	117	124	99052
344297	75	1	30	108	118	67654
153935	33	5	25	84	70	65553
132943	40	7	39	156	107	97500
174724	92	0	34	120	119	69112
174415	100	0	31	114	89	82753
225548	112	5	31	94	112	85323
223632	73	0	33	120	108	72654
124817	40	0	25	81	52	30727
221698	45	0	33	110	112	77873
210767	60	3	35	133	116	117478
170266	62	4	42	122	123	74007
260561	75	1	43	158	125	90183
84853	31	4	30	109	27	61542
294424	77	2	33	124	162	101494
101011	34	0	13	39	32	27570
215641	46	0	32	92	64	55813
325107	99	0	36	126	92	79215
7176	17	0	0	0	0	1423
167542	66	2	28	70	83	55461
106408	30	1	14	37	41	31081
96560	76	0	17	38	47	22996
265769	146	2	32	120	120	83122
269651	67	10	30	93	105	70106
149112	56	6	35	95	79	60578
175824	107	0	20	77	65	39992
152871	58	5	28	90	70	79892
111665	34	4	28	80	55	49810
116408	61	1	39	31	39	71570
362301	119	2	34	110	67	100708
78800	42	2	26	66	21	33032
183167	66	0	39	138	127	82875
277965	89	8	39	133	152	139077
150629	44	3	33	113	113	71595
168809	66	0	28	100	99	72260
24188	24	0	4	7	7	5950
329267	259	8	39	140	141	115762
65029	17	5	18	61	21	32551
101097	64	3	14	41	35	31701
218946	41	1	29	96	109	80670
244052	68	5	44	164	133	143558
341570	168	1	21	78	123	117105
103597	43	1	16	49	26	23789
233328	132	5	28	102	230	120733
256462	105	0	35	124	166	105195
206161	71	12	28	99	68	73107
311473	112	8	38	129	147	132068
235800	94	8	23	62	179	149193
177939	82	8	36	73	61	46821
207176	70	8	32	114	101	87011
196553	57	2	29	99	108	95260
174184	53	0	25	70	90	55183
143246	103	5	27	104	114	106671
187559	121	8	36	116	103	73511
187681	62	2	28	91	142	92945
119016	52	5	23	74	79	78664
182192	52	12	40	138	88	70054
73566	32	6	23	67	25	22618
194979	62	7	40	151	83	74011
167488	45	2	28	72	113	83737
143756	46	0	34	120	118	69094
275541	63	4	33	115	110	93133
243199	75	3	28	105	129	95536
182999	88	6	34	104	51	225920
135649	46	2	30	108	93	62133
152299	53	0	33	98	76	61370
120221	37	1	22	69	49	43836
346485	90	0	38	111	118	106117
145790	63	5	26	99	38	38692
193339	78	2	35	71	141	84651
80953	25	0	8	27	58	56622
122774	45	0	24	69	27	15986
130585	46	5	29	107	91	95364
112611	41	0	20	73	48	26706
286468	144	1	29	107	63	89691
241066	82	0	45	93	56	67267
148446	91	1	37	129	144	126846
204713	71	1	33	69	73	41140
182079	63	2	33	118	168	102860
140344	53	6	25	73	64	51715
220516	62	1	32	119	97	55801
243060	63	4	29	104	117	111813
162765	32	2	28	107	100	120293
182613	39	3	28	99	149	138599
232138	62	0	31	90	187	161647
265318	117	10	52	197	127	115929
85574	34	0	21	36	37	24266
310839	92	9	24	85	245	162901
225060	93	7	41	139	87	109825
232317	54	0	33	106	177	129838
144966	144	0	32	50	49	37510
43287	14	4	19	64	49	43750
155754	61	4	20	31	73	40652
164709	109	0	31	63	177	87771
201940	38	0	31	92	94	85872
235454	73	0	32	106	117	89275
220801	75	1	18	63	60	44418
99466	50	0	23	69	55	192565
92661	61	1	17	41	39	35232
133328	55	0	20	56	64	40909
61361	77	0	12	25	26	13294
125930	75	4	17	65	64	32387
100750	72	0	30	93	58	140867
224549	50	4	31	114	95	120662
82316	32	4	10	38	25	21233
102010	53	3	13	44	26	44332
101523	42	0	22	87	76	61056
243511	71	0	42	110	129	101338
22938	10	0	1	0	11	1168
41566	35	5	9	27	2	13497
152474	65	0	32	83	101	65567
61857	25	4	11	30	28	25162
99923	66	0	25	80	36	32334
132487	41	0	36	98	89	40735
317394	86	1	31	82	193	91413
21054	16	0	0	0	4	855
209641	42	5	24	60	84	97068
22648	19	0	13	28	23	44339
31414	19	0	8	9	39	14116
46698	45	0	13	33	14	10288
131698	65	0	19	59	78	65622
91735	35	0	18	49	14	16563
244749	95	2	33	115	101	76643
184510	49	7	40	140	82	110681
79863	37	1	22	49	24	29011
128423	64	8	38	120	36	92696
97839	38	2	24	66	75	94785
38214	34	0	8	21	16	8773
151101	32	2	35	124	55	83209
272458	65	0	43	152	131	93815
172494	52	0	43	139	131	86687
108043	62	1	14	38	39	34553
328107	65	3	41	144	144	105547
250579	83	0	38	120	139	103487
351067	95	3	45	160	211	213688
158015	29	0	31	114	78	71220
98866	18	0	13	39	50	23517
85439	33	0	28	78	39	56926
229242	247	4	31	119	90	91721
351619	139	4	40	141	166	115168
84207	29	11	30	101	12	111194
120445	118	0	16	56	57	51009
324598	110	0	37	133	133	135777
131069	67	4	30	83	69	51513
204271	42	0	35	116	119	74163
165543	65	1	32	90	119	51633
141722	94	0	27	36	65	75345
116048	64	0	20	50	61	33416
250047	81	0	18	61	49	83305
299775	95	9	31	97	101	98952
195838	67	1	31	98	196	102372
173260	63	3	21	78	15	37238
254488	83	10	39	117	136	103772
104389	45	5	41	148	89	123969
136084	30	0	13	41	40	27142
199476	70	2	32	105	123	135400
92499	32	0	18	55	21	21399
224330	83	1	39	132	163	130115
135781	31	2	14	44	29	24874
74408	67	4	7	21	35	34988
81240	66	0	17	50	13	45549
14688	10	0	0	0	5	6023
181633	70	2	30	73	96	64466
271856	103	1	37	86	151	54990
7199	5	0	0	0	6	1644
46660	20	0	5	13	13	6179
17547	5	0	1	4	3	3926
133368	36	1	16	57	56	32755
95227	34	0	32	48	23	34777
152601	48	2	24	46	57	73224
98146	40	0	17	48	14	27114
79619	43	3	11	32	43	20760
59194	31	6	24	68	20	37636
139942	42	0	22	87	72	65461
118612	46	2	12	43	87	30080
72880	33	0	19	67	21	24094
65475	18	2	13	46	56	69008
99643	55	1	17	46	59	54968
71965	35	1	15	56	82	46090
77272	59	2	16	48	43	27507
49289	19	1	24	44	25	10672
135131	66	0	15	60	38	34029
108446	60	1	17	65	25	46300
89746	36	3	18	55	38	24760
44296	25	0	20	38	12	18779
77648	47	0	16	52	29	21280
181528	54	0	16	60	47	40662
134019	53	0	18	54	45	28987
124064	40	1	22	86	40	22827
92630	40	4	8	24	30	18513
121848	39	0	17	52	41	30594
52915	14	0	18	49	25	24006
81872	45	0	16	61	23	27913
58981	36	7	23	61	14	42744
53515	28	2	22	81	16	12934
60812	44	0	13	43	26	22574
56375	30	7	13	40	21	41385
65490	22	3	16	40	27	18653
80949	17	0	16	56	9	18472
76302	31	0	20	68	33	30976
104011	55	6	22	79	42	63339
98104	54	2	17	47	68	25568
67989	21	0	18	57	32	33747
30989	14	0	17	41	6	4154
135458	81	3	12	29	67	19474
73504	35	0	7	3	33	35130
63123	43	1	17	60	77	39067
61254	46	1	14	30	46	13310
74914	30	0	23	79	30	65892
31774	23	1	17	47	0	4143
81437	38	0	14	40	36	28579
87186	54	0	15	48	46	51776
50090	20	0	17	36	18	21152
65745	53	0	21	42	48	38084
56653	45	0	18	49	29	27717
158399	39	0	18	57	28	32928
46455	20	0	17	12	34	11342
73624	24	0	17	40	33	19499
38395	31	0	16	43	34	16380
91899	35	0	15	33	33	36874
139526	151	0	21	77	80	48259
52164	52	0	16	43	32	16734
51567	30	2	14	45	30	28207
70551	31	0	15	47	41	30143
84856	29	1	17	43	41	41369
102538	57	1	15	45	51	45833
86678	40	0	15	50	18	29156
85709	44	0	10	35	34	35944
34662	25	0	6	7	31	36278
150580	77	0	22	71	39	45588
99611	35	0	21	67	54	45097
19349	11	0	1	0	14	3895
99373	63	1	18	62	24	28394
86230	44	0	17	54	24	18632
30837	19	0	4	4	8	2325
31706	13	0	10	25	26	25139
89806	42	0	16	40	19	27975
62088	38	1	16	38	11	14483
40151	29	0	9	19	14	13127
27634	20	0	16	17	1	5839
76990	27	0	17	67	39	24069
37460	20	0	7	14	5	3738
54157	19	0	15	30	37	18625
49862	37	0	14	54	32	36341
84337	26	0	14	35	38	24548
64175	42	0	18	59	47	21792
59382	49	0	12	24	47	26263
119308	30	0	16	58	37	23686
76702	49	0	21	42	51	49303
103425	67	1	19	46	45	25659
70344	28	0	16	61	21	28904
43410	19	0	1	3	1	2781
104838	49	1	16	52	42	29236
62215	27	0	10	25	26	19546
69304	30	6	19	40	21	22818
53117	22	3	12	32	4	32689
19764	12	1	2	4	10	5752
86680	31	2	14	49	43	22197
84105	20	0	17	63	34	20055
77945	20	0	19	67	31	25272
89113	39	0	14	32	19	82206
91005	29	3	11	23	34	32073
40248	16	1	4	7	6	5444
64187	27	0	16	54	11	20154
50857	21	0	20	37	24	36944
56613	19	1	12	35	16	8019
62792	35	0	15	51	72	30884
72535	14	0	16	39	21	19540

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159203&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159203&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	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Correlations for all pairs of data series (method=pearson)
	time_in_rfc	logins	shared_compendiums	compendiums_reviewed	feedback_messages_p120	totblogs	totsize
time_in_rfc	1	0.716	0.294	0.758	0.769	0.814	0.746
logins	0.716	1	0.25	0.549	0.546	0.581	0.536
shared_compendiums	0.294	0.25	1	0.389	0.402	0.266	0.386
compendiums_reviewed	0.758	0.549	0.389	1	0.918	0.72	0.734
feedback_messages_p120	0.769	0.546	0.402	0.918	1	0.731	0.755
totblogs	0.814	0.581	0.266	0.72	0.731	1	0.798
totsize	0.746	0.536	0.386	0.734	0.755	0.798	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_in_rfc & logins & shared_compendiums & compendiums_reviewed & feedback_messages_p120 & totblogs & totsize
 \tabularnewline
time_in_rfc & 1 & 0.716 & 0.294 & 0.758 & 0.769 & 0.814 & 0.746 \tabularnewline
logins & 0.716 & 1 & 0.25 & 0.549 & 0.546 & 0.581 & 0.536 \tabularnewline
shared_compendiums & 0.294 & 0.25 & 1 & 0.389 & 0.402 & 0.266 & 0.386 \tabularnewline
compendiums_reviewed & 0.758 & 0.549 & 0.389 & 1 & 0.918 & 0.72 & 0.734 \tabularnewline
feedback_messages_p120 & 0.769 & 0.546 & 0.402 & 0.918 & 1 & 0.731 & 0.755 \tabularnewline
totblogs & 0.814 & 0.581 & 0.266 & 0.72 & 0.731 & 1 & 0.798 \tabularnewline
totsize
 & 0.746 & 0.536 & 0.386 & 0.734 & 0.755 & 0.798 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159203&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]logins[/C][C]shared_compendiums[/C][C]compendiums_reviewed[/C][C]feedback_messages_p120[/C][C]totblogs[/C][C]totsize
[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.716[/C][C]0.294[/C][C]0.758[/C][C]0.769[/C][C]0.814[/C][C]0.746[/C][/ROW]
[ROW][C]logins[/C][C]0.716[/C][C]1[/C][C]0.25[/C][C]0.549[/C][C]0.546[/C][C]0.581[/C][C]0.536[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.294[/C][C]0.25[/C][C]1[/C][C]0.389[/C][C]0.402[/C][C]0.266[/C][C]0.386[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.758[/C][C]0.549[/C][C]0.389[/C][C]1[/C][C]0.918[/C][C]0.72[/C][C]0.734[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.769[/C][C]0.546[/C][C]0.402[/C][C]0.918[/C][C]1[/C][C]0.731[/C][C]0.755[/C][/ROW]
[ROW][C]totblogs[/C][C]0.814[/C][C]0.581[/C][C]0.266[/C][C]0.72[/C][C]0.731[/C][C]1[/C][C]0.798[/C][/ROW]
[ROW][C]totsize
[/C][C]0.746[/C][C]0.536[/C][C]0.386[/C][C]0.734[/C][C]0.755[/C][C]0.798[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159203&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	logins	shared_compendiums	compendiums_reviewed	feedback_messages_p120	totblogs	totsize
time_in_rfc	1	0.716	0.294	0.758	0.769	0.814	0.746
logins	0.716	1	0.25	0.549	0.546	0.581	0.536
shared_compendiums	0.294	0.25	1	0.389	0.402	0.266	0.386
compendiums_reviewed	0.758	0.549	0.389	1	0.918	0.72	0.734
feedback_messages_p120	0.769	0.546	0.402	0.918	1	0.731	0.755
totblogs	0.814	0.581	0.266	0.72	0.731	1	0.798
totsize	0.746	0.536	0.386	0.734	0.755	0.798	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
time_in_rfc;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time_in_rfc;shared_compendiums	0.2941	0.3296	0.2453
p-value	(0)	(0)	(0)
time_in_rfc;compendiums_reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p120	0.7689	0.8052	0.6046
p-value	(0)	(0)	(0)
time_in_rfc;totblogs	0.8143	0.8573	0.665
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
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;feedback_messages_p120	0.5462	0.6166	0.4437
p-value	(0)	(0)	(0)
logins;totblogs	0.581	0.7078	0.5116
p-value	(0)	(0)	(0)
logins;totsize	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;feedback_messages_p120	0.4019	0.3753	0.278
p-value	(0)	(0)	(0)
shared_compendiums;totblogs	0.2659	0.3064	0.2269
p-value	(0)	(0)	(0)
shared_compendiums;totsize	0.3861	0.4032	0.3007
p-value	(0)	(0)	(0)
compendiums_reviewed;feedback_messages_p120	0.9182	0.9067	0.7707
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.7197	0.7558	0.5563
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
feedback_messages_p120;totblogs	0.731	0.7709	0.5685
p-value	(0)	(0)	(0)
feedback_messages_p120;totsize	0.7553	0.8089	0.6106
p-value	(0)	(0)	(0)
totblogs;totsize	0.7983	0.8394	0.6562
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
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;shared_compendiums & 0.2941 & 0.3296 & 0.2453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p120 & 0.7689 & 0.8052 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totblogs & 0.8143 & 0.8573 & 0.665 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totsize
 & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \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;feedback_messages_p120 & 0.5462 & 0.6166 & 0.4437 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totblogs & 0.581 & 0.7078 & 0.5116 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize
 & 0.5364 & 0.6588 & 0.4742 \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;feedback_messages_p120 & 0.4019 & 0.3753 & 0.278 \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;totsize
 & 0.3861 & 0.4032 & 0.3007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p120 & 0.9182 & 0.9067 & 0.7707 \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;totsize
 & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totblogs & 0.731 & 0.7709 & 0.5685 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totsize
 & 0.7553 & 0.8089 & 0.6106 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totblogs;totsize
 & 0.7983 & 0.8394 & 0.6562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159203&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;logins[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;shared_compendiums[/C][C]0.2941[/C][C]0.3296[/C][C]0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendiums_reviewed[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/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]0.7689[/C][C]0.8052[/C][C]0.6046[/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]0.8143[/C][C]0.8573[/C][C]0.665[/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]0.7462[/C][C]0.8118[/C][C]0.6171[/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;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;feedback_messages_p120[/C][C]0.5462[/C][C]0.6166[/C][C]0.4437[/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;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]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;feedback_messages_p120[/C][C]0.4019[/C][C]0.3753[/C][C]0.278[/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;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]compendiums_reviewed;feedback_messages_p120[/C][C]0.9182[/C][C]0.9067[/C][C]0.7707[/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;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]feedback_messages_p120;totblogs[/C][C]0.731[/C][C]0.7709[/C][C]0.5685[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;totsize
[/C][C]0.7553[/C][C]0.8089[/C][C]0.6106[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totblogs;totsize
[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159203&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159203&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;logins	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
time_in_rfc;shared_compendiums	0.2941	0.3296	0.2453
p-value	(0)	(0)	(0)
time_in_rfc;compendiums_reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p120	0.7689	0.8052	0.6046
p-value	(0)	(0)	(0)
time_in_rfc;totblogs	0.8143	0.8573	0.665
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
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;feedback_messages_p120	0.5462	0.6166	0.4437
p-value	(0)	(0)	(0)
logins;totblogs	0.581	0.7078	0.5116
p-value	(0)	(0)	(0)
logins;totsize	0.5364	0.6588	0.4742
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;feedback_messages_p120	0.4019	0.3753	0.278
p-value	(0)	(0)	(0)
shared_compendiums;totblogs	0.2659	0.3064	0.2269
p-value	(0)	(0)	(0)
shared_compendiums;totsize	0.3861	0.4032	0.3007
p-value	(0)	(0)	(0)
compendiums_reviewed;feedback_messages_p120	0.9182	0.9067	0.7707
p-value	(0)	(0)	(0)
compendiums_reviewed;totblogs	0.7197	0.7558	0.5563
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
feedback_messages_p120;totblogs	0.731	0.7709	0.5685
p-value	(0)	(0)	(0)
feedback_messages_p120;totsize	0.7553	0.8089	0.6106
p-value	(0)	(0)	(0)
totblogs;totsize	0.7983	0.8394	0.6562
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