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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

Thu, 22 Dec 2011 05:38:15 -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/t1324550329k7vnqigu6j4e6dy.htm/, Retrieved Fri, 03 May 2024 14:46:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159280, Retrieved Fri, 03 May 2024 14:46:17 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

131

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] [d1852ae60c447c0faaa37b55ffb3cb2b]
- R  D      [Kendall tau Correlation Matrix] [] [2011-12-22 10:38:15] [d160b678fd2d7bb562db2147d7efddc2] [Current]

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Dataseries X:

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Histogram

Boxplots

210907	56	396	81	3	79	30	115	94
120982	56	297	55	4	58	28	109	103
176508	54	559	50	12	60	38	146	93
179321	89	967	125	2	108	30	116	103
123185	40	270	40	1	49	22	68	51
52746	25	143	37	3	0	26	101	70
385534	92	1562	63	0	121	25	96	91
33170	18	109	44	0	1	18	67	22
101645	63	371	88	0	20	11	44	38
149061	44	656	66	5	43	26	100	93
165446	33	511	57	0	69	25	93	60
237213	84	655	74	0	78	38	140	123
173326	88	465	49	7	86	44	166	148
133131	55	525	52	7	44	30	99	90
258873	60	885	88	3	104	40	139	124
180083	66	497	36	9	63	34	130	70
324799	154	1436	108	0	158	47	181	168
230964	53	612	43	4	102	30	116	115
236785	119	865	75	3	77	31	116	71
135473	41	385	32	0	82	23	88	66
202925	61	567	44	7	115	36	139	134
215147	58	639	85	0	101	36	135	117
344297	75	963	86	1	80	30	108	108
153935	33	398	56	5	50	25	89	84
132943	40	410	50	7	83	39	156	156
174724	92	966	135	0	123	34	129	120
174415	100	801	63	0	73	31	118	114
225548	112	892	81	5	81	31	118	94
223632	73	513	52	0	105	33	125	120
124817	40	469	44	0	47	25	95	81
221698	45	683	113	0	105	33	126	110
210767	60	643	39	3	94	35	135	133
170266	62	535	73	4	44	42	154	122
260561	75	625	48	1	114	43	165	158
84853	31	264	33	4	38	30	113	109
294424	77	992	59	2	107	33	127	124
101011	34	238	41	0	30	13	52	39
215641	46	818	69	0	71	32	121	92
325107	99	937	64	0	84	36	136	126
7176	17	70	1	0	0	0	0	0
167542	66	507	59	2	59	28	108	70
106408	30	260	32	1	33	14	46	37
96560	76	503	129	0	42	17	54	38
265769	146	927	37	2	96	32	124	120
269651	67	1269	31	10	106	30	115	93
149112	56	537	65	6	56	35	128	95
175824	107	910	107	0	57	20	80	77
152871	58	532	74	5	59	28	97	90
111665	34	345	54	4	39	28	104	80
116408	61	918	76	1	34	39	59	31
362301	119	1635	715	2	76	34	125	110
78800	42	330	57	2	20	26	82	66
183167	66	557	66	0	91	39	149	138
277965	89	1178	106	8	115	39	149	133
150629	44	740	54	3	85	33	122	113
168809	66	452	32	0	76	28	118	100
24188	24	218	20	0	8	4	12	7
329267	259	764	71	8	79	39	144	140
65029	17	255	21	5	21	18	67	61
101097	64	454	70	3	30	14	52	41
218946	41	866	112	1	76	29	108	96
244052	68	574	66	5	101	44	166	164
341570	168	1276	190	1	94	21	80	78
103597	43	379	66	1	27	16	60	49
233328	132	825	165	5	92	28	107	102
256462	105	798	56	0	123	35	127	124
206161	71	663	61	12	75	28	107	99
311473	112	1069	53	8	128	38	146	129
235800	94	921	127	8	105	23	84	62
177939	82	858	63	8	55	36	141	73
207176	70	711	38	8	56	32	123	114
196553	57	503	50	2	41	29	111	99
174184	53	382	52	0	72	25	98	70
143246	103	464	42	5	67	27	105	104
187559	121	717	76	8	75	36	135	116
187681	62	690	67	2	114	28	107	91
119016	52	462	50	5	118	23	85	74
182192	52	657	53	12	77	40	155	138
73566	32	385	39	6	22	23	88	67
194979	62	577	50	7	66	40	155	151
167488	45	619	77	2	69	28	104	72
143756	46	479	57	0	105	34	132	120
275541	63	817	73	4	116	33	127	115
243199	75	752	34	3	88	28	108	105
182999	88	430	39	6	73	34	129	104
135649	46	451	46	2	99	30	116	108
152299	53	537	63	0	62	33	122	98
120221	37	519	35	1	53	22	85	69
346485	90	1000	106	0	118	38	147	111
145790	63	637	43	5	30	26	99	99
193339	78	465	47	2	100	35	87	71
80953	25	437	31	0	49	8	28	27
122774	45	711	162	0	24	24	90	69
130585	46	299	57	5	67	29	109	107
112611	41	248	36	0	46	20	78	73
286468	144	1162	263	1	57	29	111	107
241066	82	714	78	0	75	45	158	93
148446	91	905	63	1	135	37	141	129
204713	71	649	54	1	68	33	122	69
182079	63	512	63	2	124	33	124	118
140344	53	472	77	6	33	25	93	73
220516	62	905	79	1	98	32	124	119
243060	63	786	110	4	58	29	112	104
162765	32	489	56	2	68	28	108	107
182613	39	479	56	3	81	28	99	99
232138	62	617	43	0	131	31	117	90
265318	117	925	111	10	110	52	199	197
85574	34	351	71	0	37	21	78	36
310839	92	1144	62	9	130	24	91	85
225060	93	669	56	7	93	41	158	139
232317	54	707	74	0	118	33	126	106
144966	144	458	60	0	39	32	122	50
43287	14	214	43	4	13	19	71	64
155754	61	599	68	4	74	20	75	31
164709	109	572	53	0	81	31	115	63
201940	38	897	87	0	109	31	119	92
235454	73	819	46	0	151	32	124	106
220801	75	720	105	1	51	18	72	63
99466	50	273	32	0	28	23	91	69
92661	61	508	133	1	40	17	45	41
133328	55	506	79	0	56	20	78	56
61361	77	451	51	0	27	12	39	25
125930	75	699	207	4	37	17	68	65
100750	72	407	67	0	83	30	119	93
224549	50	465	47	4	54	31	117	114
82316	32	245	34	4	27	10	39	38
102010	53	370	66	3	28	13	50	44

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	'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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159280&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159280&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159280&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Correlations for all pairs of data series (method=pearson)
	TimeRFC	Logins	Compendiums_views_info	Compendiums_views_pr	Shared_compendiums	Blogs	Compendiums_reviewed	Feedbackmessage_p1	Feedbackmessage_p120
TimeRFC	1	0.637	0.831	0.351	0.13	0.723	0.594	0.611	0.623
Logins	0.637	1	0.615	0.333	0.13	0.418	0.401	0.402	0.382
Compendiums_views_info	0.831	0.615	1	0.522	0.087	0.622	0.439	0.427	0.436
Compendiums_views_pr	0.351	0.333	0.522	1	-0.072	0.085	0.086	0.076	0.092
Shared_compendiums	0.13	0.13	0.087	-0.072	1	0.054	0.296	0.315	0.313
Blogs	0.723	0.418	0.622	0.085	0.054	1	0.614	0.639	0.663
Compendiums_reviewed	0.594	0.401	0.439	0.086	0.296	0.614	1	0.958	0.854
Feedbackmessage_p1	0.611	0.402	0.427	0.076	0.315	0.639	0.958	1	0.906
Feedbackmessage_p120	0.623	0.382	0.436	0.092	0.313	0.663	0.854	0.906	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & TimeRFC & Logins & Compendiums_views_info & Compendiums_views_pr & Shared_compendiums & Blogs & Compendiums_reviewed & Feedbackmessage_p1 & Feedbackmessage_p120 \tabularnewline
TimeRFC & 1 & 0.637 & 0.831 & 0.351 & 0.13 & 0.723 & 0.594 & 0.611 & 0.623 \tabularnewline
Logins & 0.637 & 1 & 0.615 & 0.333 & 0.13 & 0.418 & 0.401 & 0.402 & 0.382 \tabularnewline
Compendiums_views_info & 0.831 & 0.615 & 1 & 0.522 & 0.087 & 0.622 & 0.439 & 0.427 & 0.436 \tabularnewline
Compendiums_views_pr & 0.351 & 0.333 & 0.522 & 1 & -0.072 & 0.085 & 0.086 & 0.076 & 0.092 \tabularnewline
Shared_compendiums & 0.13 & 0.13 & 0.087 & -0.072 & 1 & 0.054 & 0.296 & 0.315 & 0.313 \tabularnewline
Blogs & 0.723 & 0.418 & 0.622 & 0.085 & 0.054 & 1 & 0.614 & 0.639 & 0.663 \tabularnewline
Compendiums_reviewed & 0.594 & 0.401 & 0.439 & 0.086 & 0.296 & 0.614 & 1 & 0.958 & 0.854 \tabularnewline
Feedbackmessage_p1 & 0.611 & 0.402 & 0.427 & 0.076 & 0.315 & 0.639 & 0.958 & 1 & 0.906 \tabularnewline
Feedbackmessage_p120 & 0.623 & 0.382 & 0.436 & 0.092 & 0.313 & 0.663 & 0.854 & 0.906 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159280&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]TimeRFC[/C][C]Logins[/C][C]Compendiums_views_info[/C][C]Compendiums_views_pr[/C][C]Shared_compendiums[/C][C]Blogs[/C][C]Compendiums_reviewed[/C][C]Feedbackmessage_p1[/C][C]Feedbackmessage_p120[/C][/ROW]
[ROW][C]TimeRFC[/C][C]1[/C][C]0.637[/C][C]0.831[/C][C]0.351[/C][C]0.13[/C][C]0.723[/C][C]0.594[/C][C]0.611[/C][C]0.623[/C][/ROW]
[ROW][C]Logins[/C][C]0.637[/C][C]1[/C][C]0.615[/C][C]0.333[/C][C]0.13[/C][C]0.418[/C][C]0.401[/C][C]0.402[/C][C]0.382[/C][/ROW]
[ROW][C]Compendiums_views_info[/C][C]0.831[/C][C]0.615[/C][C]1[/C][C]0.522[/C][C]0.087[/C][C]0.622[/C][C]0.439[/C][C]0.427[/C][C]0.436[/C][/ROW]
[ROW][C]Compendiums_views_pr[/C][C]0.351[/C][C]0.333[/C][C]0.522[/C][C]1[/C][C]-0.072[/C][C]0.085[/C][C]0.086[/C][C]0.076[/C][C]0.092[/C][/ROW]
[ROW][C]Shared_compendiums[/C][C]0.13[/C][C]0.13[/C][C]0.087[/C][C]-0.072[/C][C]1[/C][C]0.054[/C][C]0.296[/C][C]0.315[/C][C]0.313[/C][/ROW]
[ROW][C]Blogs[/C][C]0.723[/C][C]0.418[/C][C]0.622[/C][C]0.085[/C][C]0.054[/C][C]1[/C][C]0.614[/C][C]0.639[/C][C]0.663[/C][/ROW]
[ROW][C]Compendiums_reviewed[/C][C]0.594[/C][C]0.401[/C][C]0.439[/C][C]0.086[/C][C]0.296[/C][C]0.614[/C][C]1[/C][C]0.958[/C][C]0.854[/C][/ROW]
[ROW][C]Feedbackmessage_p1[/C][C]0.611[/C][C]0.402[/C][C]0.427[/C][C]0.076[/C][C]0.315[/C][C]0.639[/C][C]0.958[/C][C]1[/C][C]0.906[/C][/ROW]
[ROW][C]Feedbackmessage_p120[/C][C]0.623[/C][C]0.382[/C][C]0.436[/C][C]0.092[/C][C]0.313[/C][C]0.663[/C][C]0.854[/C][C]0.906[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159280&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159280&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)
	TimeRFC	Logins	Compendiums_views_info	Compendiums_views_pr	Shared_compendiums	Blogs	Compendiums_reviewed	Feedbackmessage_p1	Feedbackmessage_p120
TimeRFC	1	0.637	0.831	0.351	0.13	0.723	0.594	0.611	0.623
Logins	0.637	1	0.615	0.333	0.13	0.418	0.401	0.402	0.382
Compendiums_views_info	0.831	0.615	1	0.522	0.087	0.622	0.439	0.427	0.436
Compendiums_views_pr	0.351	0.333	0.522	1	-0.072	0.085	0.086	0.076	0.092
Shared_compendiums	0.13	0.13	0.087	-0.072	1	0.054	0.296	0.315	0.313
Blogs	0.723	0.418	0.622	0.085	0.054	1	0.614	0.639	0.663
Compendiums_reviewed	0.594	0.401	0.439	0.086	0.296	0.614	1	0.958	0.854
Feedbackmessage_p1	0.611	0.402	0.427	0.076	0.315	0.639	0.958	1	0.906
Feedbackmessage_p120	0.623	0.382	0.436	0.092	0.313	0.663	0.854	0.906	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
TimeRFC;Logins	0.6374	0.6554	0.484
p-value	(0)	(0)	(0)
TimeRFC;Compendiums_views_info	0.8311	0.8076	0.6277
p-value	(0)	(0)	(0)
TimeRFC;Compendiums_views_pr	0.3512	0.3658	0.2568
p-value	(1e-04)	(0)	(0)
TimeRFC;Shared_compendiums	0.1298	0.1333	0.0972
p-value	(0.1457)	(0.135)	(0.1284)
TimeRFC;Blogs	0.7233	0.7396	0.5671
p-value	(0)	(0)	(0)
TimeRFC;Compendiums_reviewed	0.5939	0.6043	0.4398
p-value	(0)	(0)	(0)
TimeRFC;Feedbackmessage_p1	0.6115	0.6261	0.455
p-value	(0)	(0)	(0)
TimeRFC;Feedbackmessage_p120	0.6229	0.6391	0.4612
p-value	(0)	(0)	(0)
Logins;Compendiums_views_info	0.615	0.6813	0.5032
p-value	(0)	(0)	(0)
Logins;Compendiums_views_pr	0.3335	0.4219	0.2987
p-value	(1e-04)	(0)	(0)
Logins;Shared_compendiums	0.1297	0.0959	0.0674
p-value	(0.1462)	(0.2837)	(0.2946)
Logins;Blogs	0.4177	0.4975	0.3493
p-value	(0)	(0)	(0)
Logins;Compendiums_reviewed	0.4011	0.446	0.3217
p-value	(0)	(0)	(0)
Logins;Feedbackmessage_p1	0.4019	0.4456	0.3137
p-value	(0)	(0)	(0)
Logins;Feedbackmessage_p120	0.3823	0.4017	0.2865
p-value	(0)	(0)	(0)
Compendiums_views_info;Compendiums_views_pr	0.5222	0.5625	0.4081
p-value	(0)	(0)	(0)
Compendiums_views_info;Shared_compendiums	0.0873	0.0836	0.062
p-value	(0.329)	(0.3501)	(0.3325)
Compendiums_views_info;Blogs	0.6217	0.6307	0.4646
p-value	(0)	(0)	(0)
Compendiums_views_info;Compendiums_reviewed	0.4388	0.4903	0.3447
p-value	(0)	(0)	(0)
Compendiums_views_info;Feedbackmessage_p1	0.4271	0.4731	0.3298
p-value	(0)	(0)	(0)
Compendiums_views_info;Feedbackmessage_p120	0.436	0.4781	0.3286
p-value	(0)	(0)	(0)
Compendiums_views_pr;Shared_compendiums	-0.0716	-0.0934	-0.0673
p-value	(0.424)	(0.2964)	(0.2956)
Compendiums_views_pr;Blogs	0.0852	0.2176	0.1496
p-value	(0.3408)	(0.014)	(0.0134)
Compendiums_views_pr;Compendiums_reviewed	0.0861	0.1685	0.1234
p-value	(0.3357)	(0.0583)	(0.0442)
Compendiums_views_pr;Feedbackmessage_p1	0.0759	0.1417	0.0992
p-value	(0.3967)	(0.1122)	(0.1017)
Compendiums_views_pr;Feedbackmessage_p120	0.0917	0.1278	0.0882
p-value	(0.3052)	(0.152)	(0.1456)
Shared_compendiums;Blogs	0.0538	0.0215	0.0182
p-value	(0.5478)	(0.81)	(0.777)
Shared_compendiums;Compendiums_reviewed	0.2956	0.2146	0.1512
p-value	(7e-04)	(0.0154)	(0.02)
Shared_compendiums;Feedbackmessage_p1	0.3145	0.2116	0.1488
p-value	(3e-04)	(0.0169)	(0.0205)
Shared_compendiums;Feedbackmessage_p120	0.3131	0.2568	0.1842
p-value	(3e-04)	(0.0036)	(0.0041)
Blogs;Compendiums_reviewed	0.6135	0.6009	0.4359
p-value	(0)	(0)	(0)
Blogs;Feedbackmessage_p1	0.6393	0.6319	0.4532
p-value	(0)	(0)	(0)
Blogs;Feedbackmessage_p120	0.6635	0.663	0.4731
p-value	(0)	(0)	(0)
Compendiums_reviewed;Feedbackmessage_p1	0.9583	0.946	0.9015
p-value	(0)	(0)	(0)
Compendiums_reviewed;Feedbackmessage_p120	0.8538	0.814	0.6801
p-value	(0)	(0)	(0)
Feedbackmessage_p1;Feedbackmessage_p120	0.9056	0.8714	0.7291
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
TimeRFC;Logins & 0.6374 & 0.6554 & 0.484 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Compendiums_views_info & 0.8311 & 0.8076 & 0.6277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Compendiums_views_pr & 0.3512 & 0.3658 & 0.2568 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
TimeRFC;Shared_compendiums & 0.1298 & 0.1333 & 0.0972 \tabularnewline
p-value & (0.1457) & (0.135) & (0.1284) \tabularnewline
TimeRFC;Blogs & 0.7233 & 0.7396 & 0.5671 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Compendiums_reviewed & 0.5939 & 0.6043 & 0.4398 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Feedbackmessage_p1 & 0.6115 & 0.6261 & 0.455 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRFC;Feedbackmessage_p120 & 0.6229 & 0.6391 & 0.4612 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendiums_views_info & 0.615 & 0.6813 & 0.5032 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendiums_views_pr & 0.3335 & 0.4219 & 0.2987 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Logins;Shared_compendiums & 0.1297 & 0.0959 & 0.0674 \tabularnewline
p-value & (0.1462) & (0.2837) & (0.2946) \tabularnewline
Logins;Blogs & 0.4177 & 0.4975 & 0.3493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Compendiums_reviewed & 0.4011 & 0.446 & 0.3217 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Feedbackmessage_p1 & 0.4019 & 0.4456 & 0.3137 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Logins;Feedbackmessage_p120 & 0.3823 & 0.4017 & 0.2865 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_views_info;Compendiums_views_pr & 0.5222 & 0.5625 & 0.4081 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_views_info;Shared_compendiums & 0.0873 & 0.0836 & 0.062 \tabularnewline
p-value & (0.329) & (0.3501) & (0.3325) \tabularnewline
Compendiums_views_info;Blogs & 0.6217 & 0.6307 & 0.4646 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_views_info;Compendiums_reviewed & 0.4388 & 0.4903 & 0.3447 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_views_info;Feedbackmessage_p1 & 0.4271 & 0.4731 & 0.3298 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_views_info;Feedbackmessage_p120 & 0.436 & 0.4781 & 0.3286 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_views_pr;Shared_compendiums & -0.0716 & -0.0934 & -0.0673 \tabularnewline
p-value & (0.424) & (0.2964) & (0.2956) \tabularnewline
Compendiums_views_pr;Blogs & 0.0852 & 0.2176 & 0.1496 \tabularnewline
p-value & (0.3408) & (0.014) & (0.0134) \tabularnewline
Compendiums_views_pr;Compendiums_reviewed & 0.0861 & 0.1685 & 0.1234 \tabularnewline
p-value & (0.3357) & (0.0583) & (0.0442) \tabularnewline
Compendiums_views_pr;Feedbackmessage_p1 & 0.0759 & 0.1417 & 0.0992 \tabularnewline
p-value & (0.3967) & (0.1122) & (0.1017) \tabularnewline
Compendiums_views_pr;Feedbackmessage_p120 & 0.0917 & 0.1278 & 0.0882 \tabularnewline
p-value & (0.3052) & (0.152) & (0.1456) \tabularnewline
Shared_compendiums;Blogs & 0.0538 & 0.0215 & 0.0182 \tabularnewline
p-value & (0.5478) & (0.81) & (0.777) \tabularnewline
Shared_compendiums;Compendiums_reviewed & 0.2956 & 0.2146 & 0.1512 \tabularnewline
p-value & (7e-04) & (0.0154) & (0.02) \tabularnewline
Shared_compendiums;Feedbackmessage_p1 & 0.3145 & 0.2116 & 0.1488 \tabularnewline
p-value & (3e-04) & (0.0169) & (0.0205) \tabularnewline
Shared_compendiums;Feedbackmessage_p120 & 0.3131 & 0.2568 & 0.1842 \tabularnewline
p-value & (3e-04) & (0.0036) & (0.0041) \tabularnewline
Blogs;Compendiums_reviewed & 0.6135 & 0.6009 & 0.4359 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;Feedbackmessage_p1 & 0.6393 & 0.6319 & 0.4532 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogs;Feedbackmessage_p120 & 0.6635 & 0.663 & 0.4731 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_reviewed;Feedbackmessage_p1 & 0.9583 & 0.946 & 0.9015 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Compendiums_reviewed;Feedbackmessage_p120 & 0.8538 & 0.814 & 0.6801 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedbackmessage_p1;Feedbackmessage_p120 & 0.9056 & 0.8714 & 0.7291 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159280&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]TimeRFC;Logins[/C][C]0.6374[/C][C]0.6554[/C][C]0.484[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Compendiums_views_info[/C][C]0.8311[/C][C]0.8076[/C][C]0.6277[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Compendiums_views_pr[/C][C]0.3512[/C][C]0.3658[/C][C]0.2568[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Shared_compendiums[/C][C]0.1298[/C][C]0.1333[/C][C]0.0972[/C][/ROW]
[ROW][C]p-value[/C][C](0.1457)[/C][C](0.135)[/C][C](0.1284)[/C][/ROW]
[ROW][C]TimeRFC;Blogs[/C][C]0.7233[/C][C]0.7396[/C][C]0.5671[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Compendiums_reviewed[/C][C]0.5939[/C][C]0.6043[/C][C]0.4398[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Feedbackmessage_p1[/C][C]0.6115[/C][C]0.6261[/C][C]0.455[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRFC;Feedbackmessage_p120[/C][C]0.6229[/C][C]0.6391[/C][C]0.4612[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendiums_views_info[/C][C]0.615[/C][C]0.6813[/C][C]0.5032[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendiums_views_pr[/C][C]0.3335[/C][C]0.4219[/C][C]0.2987[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Shared_compendiums[/C][C]0.1297[/C][C]0.0959[/C][C]0.0674[/C][/ROW]
[ROW][C]p-value[/C][C](0.1462)[/C][C](0.2837)[/C][C](0.2946)[/C][/ROW]
[ROW][C]Logins;Blogs[/C][C]0.4177[/C][C]0.4975[/C][C]0.3493[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Compendiums_reviewed[/C][C]0.4011[/C][C]0.446[/C][C]0.3217[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Feedbackmessage_p1[/C][C]0.4019[/C][C]0.4456[/C][C]0.3137[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Logins;Feedbackmessage_p120[/C][C]0.3823[/C][C]0.4017[/C][C]0.2865[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_views_info;Compendiums_views_pr[/C][C]0.5222[/C][C]0.5625[/C][C]0.4081[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_views_info;Shared_compendiums[/C][C]0.0873[/C][C]0.0836[/C][C]0.062[/C][/ROW]
[ROW][C]p-value[/C][C](0.329)[/C][C](0.3501)[/C][C](0.3325)[/C][/ROW]
[ROW][C]Compendiums_views_info;Blogs[/C][C]0.6217[/C][C]0.6307[/C][C]0.4646[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_views_info;Compendiums_reviewed[/C][C]0.4388[/C][C]0.4903[/C][C]0.3447[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_views_info;Feedbackmessage_p1[/C][C]0.4271[/C][C]0.4731[/C][C]0.3298[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_views_info;Feedbackmessage_p120[/C][C]0.436[/C][C]0.4781[/C][C]0.3286[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_views_pr;Shared_compendiums[/C][C]-0.0716[/C][C]-0.0934[/C][C]-0.0673[/C][/ROW]
[ROW][C]p-value[/C][C](0.424)[/C][C](0.2964)[/C][C](0.2956)[/C][/ROW]
[ROW][C]Compendiums_views_pr;Blogs[/C][C]0.0852[/C][C]0.2176[/C][C]0.1496[/C][/ROW]
[ROW][C]p-value[/C][C](0.3408)[/C][C](0.014)[/C][C](0.0134)[/C][/ROW]
[ROW][C]Compendiums_views_pr;Compendiums_reviewed[/C][C]0.0861[/C][C]0.1685[/C][C]0.1234[/C][/ROW]
[ROW][C]p-value[/C][C](0.3357)[/C][C](0.0583)[/C][C](0.0442)[/C][/ROW]
[ROW][C]Compendiums_views_pr;Feedbackmessage_p1[/C][C]0.0759[/C][C]0.1417[/C][C]0.0992[/C][/ROW]
[ROW][C]p-value[/C][C](0.3967)[/C][C](0.1122)[/C][C](0.1017)[/C][/ROW]
[ROW][C]Compendiums_views_pr;Feedbackmessage_p120[/C][C]0.0917[/C][C]0.1278[/C][C]0.0882[/C][/ROW]
[ROW][C]p-value[/C][C](0.3052)[/C][C](0.152)[/C][C](0.1456)[/C][/ROW]
[ROW][C]Shared_compendiums;Blogs[/C][C]0.0538[/C][C]0.0215[/C][C]0.0182[/C][/ROW]
[ROW][C]p-value[/C][C](0.5478)[/C][C](0.81)[/C][C](0.777)[/C][/ROW]
[ROW][C]Shared_compendiums;Compendiums_reviewed[/C][C]0.2956[/C][C]0.2146[/C][C]0.1512[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0.0154)[/C][C](0.02)[/C][/ROW]
[ROW][C]Shared_compendiums;Feedbackmessage_p1[/C][C]0.3145[/C][C]0.2116[/C][C]0.1488[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0169)[/C][C](0.0205)[/C][/ROW]
[ROW][C]Shared_compendiums;Feedbackmessage_p120[/C][C]0.3131[/C][C]0.2568[/C][C]0.1842[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0036)[/C][C](0.0041)[/C][/ROW]
[ROW][C]Blogs;Compendiums_reviewed[/C][C]0.6135[/C][C]0.6009[/C][C]0.4359[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;Feedbackmessage_p1[/C][C]0.6393[/C][C]0.6319[/C][C]0.4532[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogs;Feedbackmessage_p120[/C][C]0.6635[/C][C]0.663[/C][C]0.4731[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_reviewed;Feedbackmessage_p1[/C][C]0.9583[/C][C]0.946[/C][C]0.9015[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Compendiums_reviewed;Feedbackmessage_p120[/C][C]0.8538[/C][C]0.814[/C][C]0.6801[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedbackmessage_p1;Feedbackmessage_p120[/C][C]0.9056[/C][C]0.8714[/C][C]0.7291[/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=159280&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159280&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
TimeRFC;Logins	0.6374	0.6554	0.484
p-value	(0)	(0)	(0)
TimeRFC;Compendiums_views_info	0.8311	0.8076	0.6277
p-value	(0)	(0)	(0)
TimeRFC;Compendiums_views_pr	0.3512	0.3658	0.2568
p-value	(1e-04)	(0)	(0)
TimeRFC;Shared_compendiums	0.1298	0.1333	0.0972
p-value	(0.1457)	(0.135)	(0.1284)
TimeRFC;Blogs	0.7233	0.7396	0.5671
p-value	(0)	(0)	(0)
TimeRFC;Compendiums_reviewed	0.5939	0.6043	0.4398
p-value	(0)	(0)	(0)
TimeRFC;Feedbackmessage_p1	0.6115	0.6261	0.455
p-value	(0)	(0)	(0)
TimeRFC;Feedbackmessage_p120	0.6229	0.6391	0.4612
p-value	(0)	(0)	(0)
Logins;Compendiums_views_info	0.615	0.6813	0.5032
p-value	(0)	(0)	(0)
Logins;Compendiums_views_pr	0.3335	0.4219	0.2987
p-value	(1e-04)	(0)	(0)
Logins;Shared_compendiums	0.1297	0.0959	0.0674
p-value	(0.1462)	(0.2837)	(0.2946)
Logins;Blogs	0.4177	0.4975	0.3493
p-value	(0)	(0)	(0)
Logins;Compendiums_reviewed	0.4011	0.446	0.3217
p-value	(0)	(0)	(0)
Logins;Feedbackmessage_p1	0.4019	0.4456	0.3137
p-value	(0)	(0)	(0)
Logins;Feedbackmessage_p120	0.3823	0.4017	0.2865
p-value	(0)	(0)	(0)
Compendiums_views_info;Compendiums_views_pr	0.5222	0.5625	0.4081
p-value	(0)	(0)	(0)
Compendiums_views_info;Shared_compendiums	0.0873	0.0836	0.062
p-value	(0.329)	(0.3501)	(0.3325)
Compendiums_views_info;Blogs	0.6217	0.6307	0.4646
p-value	(0)	(0)	(0)
Compendiums_views_info;Compendiums_reviewed	0.4388	0.4903	0.3447
p-value	(0)	(0)	(0)
Compendiums_views_info;Feedbackmessage_p1	0.4271	0.4731	0.3298
p-value	(0)	(0)	(0)
Compendiums_views_info;Feedbackmessage_p120	0.436	0.4781	0.3286
p-value	(0)	(0)	(0)
Compendiums_views_pr;Shared_compendiums	-0.0716	-0.0934	-0.0673
p-value	(0.424)	(0.2964)	(0.2956)
Compendiums_views_pr;Blogs	0.0852	0.2176	0.1496
p-value	(0.3408)	(0.014)	(0.0134)
Compendiums_views_pr;Compendiums_reviewed	0.0861	0.1685	0.1234
p-value	(0.3357)	(0.0583)	(0.0442)
Compendiums_views_pr;Feedbackmessage_p1	0.0759	0.1417	0.0992
p-value	(0.3967)	(0.1122)	(0.1017)
Compendiums_views_pr;Feedbackmessage_p120	0.0917	0.1278	0.0882
p-value	(0.3052)	(0.152)	(0.1456)
Shared_compendiums;Blogs	0.0538	0.0215	0.0182
p-value	(0.5478)	(0.81)	(0.777)
Shared_compendiums;Compendiums_reviewed	0.2956	0.2146	0.1512
p-value	(7e-04)	(0.0154)	(0.02)
Shared_compendiums;Feedbackmessage_p1	0.3145	0.2116	0.1488
p-value	(3e-04)	(0.0169)	(0.0205)
Shared_compendiums;Feedbackmessage_p120	0.3131	0.2568	0.1842
p-value	(3e-04)	(0.0036)	(0.0041)
Blogs;Compendiums_reviewed	0.6135	0.6009	0.4359
p-value	(0)	(0)	(0)
Blogs;Feedbackmessage_p1	0.6393	0.6319	0.4532
p-value	(0)	(0)	(0)
Blogs;Feedbackmessage_p120	0.6635	0.663	0.4731
p-value	(0)	(0)	(0)
Compendiums_reviewed;Feedbackmessage_p1	0.9583	0.946	0.9015
p-value	(0)	(0)	(0)
Compendiums_reviewed;Feedbackmessage_p120	0.8538	0.814	0.6801
p-value	(0)	(0)	(0)
Feedbackmessage_p1;Feedbackmessage_p120	0.9056	0.8714	0.7291
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