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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 22 Dec 2011 19:58:13 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324601923ol4mi6c7a3uu85y.htm/, Retrieved Fri, 03 May 2024 05:51:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160129, Retrieved Fri, 03 May 2024 05:51:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

Tree of Dependent Computations

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] [2011-12-23 00:58:13] [7a9c06361804aa08030831b1a7a7bafa] [Current]
-   P       [Kendall tau Correlation Matrix] [kendall] [2011-12-23 00:59:25] [d1852ae60c447c0faaa37b55ffb3cb2b]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101645	63	11	38	28	17140	0
101011	34	13	39	32	27570	0
7176	17	0	0	0	1423	0
96560	76	17	38	47	22996	0
175824	107	20	77	65	39992	0
341570	168	21	78	123	117105	1
103597	43	16	49	26	23789	1
112611	41	20	73	48	26706	0
85574	34	21	36	37	24266	0
220801	75	18	63	60	44418	1
92661	61	17	41	39	35232	1
133328	55	20	56	64	40909	0
61361	77	12	25	26	13294	0
125930	75	17	65	64	32387	4
82316	32	10	38	25	21233	4
102010	53	13	44	26	44332	3
101523	42	22	87	76	61056	0
41566	35	9	27	2	13497	5
99923	66	25	80	36	32334	0
22648	19	13	28	23	44339	0
46698	45	13	33	14	10288	0
131698	65	19	59	78	65622	0
91735	35	18	49	14	16563	0
79863	37	22	49	24	29011	1
108043	62	14	38	39	34553	1
98866	18	13	39	50	23517	0
120445	118	16	56	57	51009	0
116048	64	20	50	61	33416	0
250047	81	18	61	49	83305	0
136084	30	13	41	40	27142	0
92499	32	18	55	21	21399	0
135781	31	14	44	29	24874	2
74408	67	7	21	35	34988	4
81240	66	17	50	13	45549	0
133368	36	16	57	56	32755	1
98146	40	17	48	14	27114	0
79619	43	11	32	43	20760	3
59194	31	24	68	20	37636	6
139942	42	22	87	72	65461	0
118612	46	12	43	87	30080	2
72880	33	19	67	21	24094	0
65475	18	13	46	56	69008	2
99643	55	17	46	59	54968	1
71965	35	15	56	82	46090	1
77272	59	16	48	43	27507	2
49289	19	24	44	25	10672	1
135131	66	15	60	38	34029	0
108446	60	17	65	25	46300	1
89746	36	18	55	38	24760	3
44296	25	20	38	12	18779	0
77648	47	16	52	29	21280	0
181528	54	16	60	47	40662	0
134019	53	18	54	45	28987	0
124064	40	22	86	40	22827	1
92630	40	8	24	30	18513	4
121848	39	17	52	41	30594	0
52915	14	18	49	25	24006	0
81872	45	16	61	23	27913	0
58981	36	23	61	14	42744	7
53515	28	22	81	16	12934	2
60812	44	13	43	26	22574	0
56375	30	13	40	21	41385	7
65490	22	16	40	27	18653	3
80949	17	16	56	9	18472	0
76302	31	20	68	33	30976	0
104011	55	22	79	42	63339	6
98104	54	17	47	68	25568	2
67989	21	18	57	32	33747	0
30989	14	17	41	6	4154	0
135458	81	12	29	67	19474	3
73504	35	7	3	33	35130	0
63123	43	17	60	77	39067	1
61254	46	14	30	46	13310	1
74914	30	23	79	30	65892	0
31774	23	17	47	0	4143	1
81437	38	14	40	36	28579	0
87186	54	15	48	46	51776	0
50090	20	17	36	18	21152	0
65745	53	21	42	48	38084	0
56653	45	18	49	29	27717	0
158399	39	18	57	28	32928	0
46455	20	17	12	34	11342	0
73624	24	17	40	33	19499	0
38395	31	16	43	34	16380	0
91899	35	15	33	33	36874	0
139526	151	21	77	80	48259	0
52164	52	16	43	32	16734	0
51567	30	14	45	30	28207	2
70551	31	15	47	41	30143	0
84856	29	17	43	41	41369	1
102538	57	15	45	51	45833	1
86678	40	15	50	18	29156	0
85709	44	10	35	34	35944	0
34662	25	6	7	31	36278	0
150580	77	22	71	39	45588	0
99611	35	21	67	54	45097	0
19349	11	1	0	14	3895	0
99373	63	18	62	24	28394	1
86230	44	17	54	24	18632	0
30837	19	4	4	8	2325	0
31706	13	10	25	26	25139	0
89806	42	16	40	19	27975	0
62088	38	16	38	11	14483	1
40151	29	9	19	14	13127	0
27634	20	16	17	1	5839	0
76990	27	17	67	39	24069	0
37460	20	7	14	5	3738	0
54157	19	15	30	37	18625	0
49862	37	14	54	32	36341	0
84337	26	14	35	38	24548	0
64175	42	18	59	47	21792	0
59382	49	12	24	47	26263	0
119308	30	16	58	37	23686	0
76702	49	21	42	51	49303	0
103425	67	19	46	45	25659	1
70344	28	16	61	21	28904	0
43410	19	1	3	1	2781	0
104838	49	16	52	42	29236	1
62215	27	10	25	26	19546	0
69304	30	19	40	21	22818	6
53117	22	12	32	4	32689	3
19764	12	2	4	10	5752	1
86680	31	14	49	43	22197	2
84105	20	17	63	34	20055	0
77945	20	19	67	31	25272	0
89113	39	14	32	19	82206	0
91005	29	11	23	34	32073	3
40248	16	4	7	6	5444	1
64187	27	16	54	11	20154	0
50857	21	20	37	24	36944	0
56613	19	12	35	16	8019	1
62792	35	15	51	72	30884	0
72535	14	16	39	21	19540	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.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=160129&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]
[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=160129&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160129&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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_rfcloginscompendiums_reviewedfeedback_messages_p120totblogstotsizeshared_compendiums
time_in_rfc10.7110.3750.5350.6440.632-0.03
logins0.71110.2920.3930.6090.5360.009
compendiums_reviewed0.3750.29210.8170.3380.406-0.006
feedback_messages_p1200.5350.3930.81710.4480.4980.015
totblogs0.6440.6090.3380.44810.613-0.042
totsize0.6320.5360.4060.4980.61310.064
shared_compendiums -0.030.009-0.0060.015-0.0420.0641

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & 
time_in_rfc & logins & compendiums_reviewed & feedback_messages_p120 & totblogs & totsize & shared_compendiums
 \tabularnewline

time_in_rfc & 1 & 0.711 & 0.375 & 0.535 & 0.644 & 0.632 & -0.03 \tabularnewline
logins & 0.711 & 1 & 0.292 & 0.393 & 0.609 & 0.536 & 0.009 \tabularnewline
compendiums_reviewed & 0.375 & 0.292 & 1 & 0.817 & 0.338 & 0.406 & -0.006 \tabularnewline
feedback_messages_p120 & 0.535 & 0.393 & 0.817 & 1 & 0.448 & 0.498 & 0.015 \tabularnewline
totblogs & 0.644 & 0.609 & 0.338 & 0.448 & 1 & 0.613 & -0.042 \tabularnewline
totsize & 0.632 & 0.536 & 0.406 & 0.498 & 0.613 & 1 & 0.064 \tabularnewline
shared_compendiums
 & -0.03 & 0.009 & -0.006 & 0.015 & -0.042 & 0.064 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160129&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]compendiums_reviewed[/C][C]feedback_messages_p120[/C][C]totblogs[/C][C]totsize[/C][C]shared_compendiums
[/C][/ROW]
[ROW][C]
time_in_rfc[/C][C]1[/C][C]0.711[/C][C]0.375[/C][C]0.535[/C][C]0.644[/C][C]0.632[/C][C]-0.03[/C][/ROW]
[ROW][C]logins[/C][C]0.711[/C][C]1[/C][C]0.292[/C][C]0.393[/C][C]0.609[/C][C]0.536[/C][C]0.009[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.375[/C][C]0.292[/C][C]1[/C][C]0.817[/C][C]0.338[/C][C]0.406[/C][C]-0.006[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.535[/C][C]0.393[/C][C]0.817[/C][C]1[/C][C]0.448[/C][C]0.498[/C][C]0.015[/C][/ROW]
[ROW][C]totblogs[/C][C]0.644[/C][C]0.609[/C][C]0.338[/C][C]0.448[/C][C]1[/C][C]0.613[/C][C]-0.042[/C][/ROW]
[ROW][C]totsize[/C][C]0.632[/C][C]0.536[/C][C]0.406[/C][C]0.498[/C][C]0.613[/C][C]1[/C][C]0.064[/C][/ROW]
[ROW][C]shared_compendiums
[/C][C]-0.03[/C][C]0.009[/C][C]-0.006[/C][C]0.015[/C][C]-0.042[/C][C]0.064[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160129&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160129&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Correlations for all pairs of data series (method=pearson)
time_in_rfcloginscompendiums_reviewedfeedback_messages_p120totblogstotsizeshared_compendiums
time_in_rfc10.7110.3750.5350.6440.632-0.03
logins0.71110.2920.3930.6090.5360.009
compendiums_reviewed0.3750.29210.8170.3380.406-0.006
feedback_messages_p1200.5350.3930.81710.4480.4980.015
totblogs0.6440.6090.3380.44810.613-0.042
totsize0.6320.5360.4060.4980.61310.064
shared_compendiums -0.030.009-0.0060.015-0.0420.0641






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_rfc;logins0.7110.66290.4888
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.37510.33170.2402
p-value(0)(1e-04)(1e-04)
time_in_rfc;feedback_messages_p1200.53510.5350.3823
p-value(0)(0)(0)
time_in_rfc;totblogs0.64380.61820.4479
p-value(0)(0)(0)
time_in_rfc;totsize0.63250.52130.3798
p-value(0)(0)(0)
time_in_rfc;shared_compendiums -0.030.05780.0426
p-value(0.7313)(0.5084)(0.5251)
logins;compendiums_reviewed0.29180.26020.1877
p-value(7e-04)(0.0025)(0.0021)
logins;feedback_messages_p1200.39250.36970.2607
p-value(0)(0)(0)
logins;totblogs0.60870.55120.3895
p-value(0)(0)(0)
logins;totsize0.53620.48590.3467
p-value(0)(0)(0)
logins;shared_compendiums 0.00870.09960.0742
p-value(0.9206)(0.2538)(0.2726)
compendiums_reviewed;feedback_messages_p1200.81740.74050.5976
p-value(0)(0)(0)
compendiums_reviewed;totblogs0.3380.25890.1876
p-value(1e-04)(0.0026)(0.0021)
compendiums_reviewed;totsize0.40590.34330.2501
p-value(0)(1e-04)(0)
compendiums_reviewed;shared_compendiums -0.0061-0.0831-0.0751
p-value(0.9443)(0.3419)(0.2778)
feedback_messages_p120;totblogs0.44770.38030.2678
p-value(0)(0)(0)
feedback_messages_p120;totsize0.49780.47660.3502
p-value(0)(0)(0)
feedback_messages_p120;shared_compendiums 0.0151-0.0244-0.026
p-value(0.8631)(0.78)(0.7006)
totblogs;totsize0.61310.55350.399
p-value(0)(0)(0)
totblogs;shared_compendiums -0.04180.04610.0356
p-value(0.6328)(0.5979)(0.5982)
totsize;shared_compendiums 0.06430.04850.0368
p-value(0.4623)(0.5791)(0.5827)

\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 & 0.711 & 0.6629 & 0.4888 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline

time_in_rfc;compendiums_reviewed & 0.3751 & 0.3317 & 0.2402 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline

time_in_rfc;feedback_messages_p120 & 0.5351 & 0.535 & 0.3823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline

time_in_rfc;totblogs & 0.6438 & 0.6182 & 0.4479 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline

time_in_rfc;totsize & 0.6325 & 0.5213 & 0.3798 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline

time_in_rfc;shared_compendiums
 & -0.03 & 0.0578 & 0.0426 \tabularnewline
p-value & (0.7313) & (0.5084) & (0.5251) \tabularnewline
logins;compendiums_reviewed & 0.2918 & 0.2602 & 0.1877 \tabularnewline
p-value & (7e-04) & (0.0025) & (0.0021) \tabularnewline
logins;feedback_messages_p120 & 0.3925 & 0.3697 & 0.2607 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totblogs & 0.6087 & 0.5512 & 0.3895 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize & 0.5362 & 0.4859 & 0.3467 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums
 & 0.0087 & 0.0996 & 0.0742 \tabularnewline
p-value & (0.9206) & (0.2538) & (0.2726) \tabularnewline
compendiums_reviewed;feedback_messages_p120 & 0.8174 & 0.7405 & 0.5976 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totblogs & 0.338 & 0.2589 & 0.1876 \tabularnewline
p-value & (1e-04) & (0.0026) & (0.0021) \tabularnewline
compendiums_reviewed;totsize & 0.4059 & 0.3433 & 0.2501 \tabularnewline
p-value & (0) & (1e-04) & (0) \tabularnewline
compendiums_reviewed;shared_compendiums
 & -0.0061 & -0.0831 & -0.0751 \tabularnewline
p-value & (0.9443) & (0.3419) & (0.2778) \tabularnewline
feedback_messages_p120;totblogs & 0.4477 & 0.3803 & 0.2678 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;totsize & 0.4978 & 0.4766 & 0.3502 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p120;shared_compendiums
 & 0.0151 & -0.0244 & -0.026 \tabularnewline
p-value & (0.8631) & (0.78) & (0.7006) \tabularnewline
totblogs;totsize & 0.6131 & 0.5535 & 0.399 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totblogs;shared_compendiums
 & -0.0418 & 0.0461 & 0.0356 \tabularnewline
p-value & (0.6328) & (0.5979) & (0.5982) \tabularnewline
totsize;shared_compendiums
 & 0.0643 & 0.0485 & 0.0368 \tabularnewline
p-value & (0.4623) & (0.5791) & (0.5827) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160129&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]0.711[/C][C]0.6629[/C][C]0.4888[/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]0.3751[/C][C]0.3317[/C][C]0.2402[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]
time_in_rfc;feedback_messages_p120[/C][C]0.5351[/C][C]0.535[/C][C]0.3823[/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]0.6438[/C][C]0.6182[/C][C]0.4479[/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]0.6325[/C][C]0.5213[/C][C]0.3798[/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]-0.03[/C][C]0.0578[/C][C]0.0426[/C][/ROW]
[ROW][C]p-value[/C][C](0.7313)[/C][C](0.5084)[/C][C](0.5251)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.2918[/C][C]0.2602[/C][C]0.1877[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0.0025)[/C][C](0.0021)[/C][/ROW]
[ROW][C]logins;feedback_messages_p120[/C][C]0.3925[/C][C]0.3697[/C][C]0.2607[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totblogs[/C][C]0.6087[/C][C]0.5512[/C][C]0.3895[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totsize[/C][C]0.5362[/C][C]0.4859[/C][C]0.3467[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums
[/C][C]0.0087[/C][C]0.0996[/C][C]0.0742[/C][/ROW]
[ROW][C]p-value[/C][C](0.9206)[/C][C](0.2538)[/C][C](0.2726)[/C][/ROW]
[ROW][C]compendiums_reviewed;feedback_messages_p120[/C][C]0.8174[/C][C]0.7405[/C][C]0.5976[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totblogs[/C][C]0.338[/C][C]0.2589[/C][C]0.1876[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0026)[/C][C](0.0021)[/C][/ROW]
[ROW][C]compendiums_reviewed;totsize[/C][C]0.4059[/C][C]0.3433[/C][C]0.2501[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;shared_compendiums
[/C][C]-0.0061[/C][C]-0.0831[/C][C]-0.0751[/C][/ROW]
[ROW][C]p-value[/C][C](0.9443)[/C][C](0.3419)[/C][C](0.2778)[/C][/ROW]
[ROW][C]feedback_messages_p120;totblogs[/C][C]0.4477[/C][C]0.3803[/C][C]0.2678[/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]0.4978[/C][C]0.4766[/C][C]0.3502[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p120;shared_compendiums
[/C][C]0.0151[/C][C]-0.0244[/C][C]-0.026[/C][/ROW]
[ROW][C]p-value[/C][C](0.8631)[/C][C](0.78)[/C][C](0.7006)[/C][/ROW]
[ROW][C]totblogs;totsize[/C][C]0.6131[/C][C]0.5535[/C][C]0.399[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totblogs;shared_compendiums
[/C][C]-0.0418[/C][C]0.0461[/C][C]0.0356[/C][/ROW]
[ROW][C]p-value[/C][C](0.6328)[/C][C](0.5979)[/C][C](0.5982)[/C][/ROW]
[ROW][C]totsize;shared_compendiums
[/C][C]0.0643[/C][C]0.0485[/C][C]0.0368[/C][/ROW]
[ROW][C]p-value[/C][C](0.4623)[/C][C](0.5791)[/C][C](0.5827)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160129&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160129&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_rfc;logins0.7110.66290.4888
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.37510.33170.2402
p-value(0)(1e-04)(1e-04)
time_in_rfc;feedback_messages_p1200.53510.5350.3823
p-value(0)(0)(0)
time_in_rfc;totblogs0.64380.61820.4479
p-value(0)(0)(0)
time_in_rfc;totsize0.63250.52130.3798
p-value(0)(0)(0)
time_in_rfc;shared_compendiums -0.030.05780.0426
p-value(0.7313)(0.5084)(0.5251)
logins;compendiums_reviewed0.29180.26020.1877
p-value(7e-04)(0.0025)(0.0021)
logins;feedback_messages_p1200.39250.36970.2607
p-value(0)(0)(0)
logins;totblogs0.60870.55120.3895
p-value(0)(0)(0)
logins;totsize0.53620.48590.3467
p-value(0)(0)(0)
logins;shared_compendiums 0.00870.09960.0742
p-value(0.9206)(0.2538)(0.2726)
compendiums_reviewed;feedback_messages_p1200.81740.74050.5976
p-value(0)(0)(0)
compendiums_reviewed;totblogs0.3380.25890.1876
p-value(1e-04)(0.0026)(0.0021)
compendiums_reviewed;totsize0.40590.34330.2501
p-value(0)(1e-04)(0)
compendiums_reviewed;shared_compendiums -0.0061-0.0831-0.0751
p-value(0.9443)(0.3419)(0.2778)
feedback_messages_p120;totblogs0.44770.38030.2678
p-value(0)(0)(0)
feedback_messages_p120;totsize0.49780.47660.3502
p-value(0)(0)(0)
feedback_messages_p120;shared_compendiums 0.0151-0.0244-0.026
p-value(0.8631)(0.78)(0.7006)
totblogs;totsize0.61310.55350.399
p-value(0)(0)(0)
totblogs;shared_compendiums -0.04180.04610.0356
p-value(0.6328)(0.5979)(0.5982)
totsize;shared_compendiums 0.06430.04850.0368
p-value(0.4623)(0.5791)(0.5827)


Figures (Output of Computation)

Input Parameters & R Code

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')