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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 07:43:59 -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/t1324557846isro3tcf710zc6f.htm/, Retrieved Fri, 03 May 2024 09:55:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159375, Retrieved Fri, 03 May 2024 09:55:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

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] [] [2011-12-22 12:43:59] [3eda06f9e914bde86f40a764ca976328] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101645	63	371	88	0	20	11	44	38
101011	34	238	41	0	30	13	52	39
7176	17	70	1	0	0	0	0	0
96560	76	503	129	0	42	17	54	38
175824	107	910	107	0	57	20	80	77
341570	168	1276	190	1	94	21	80	78
103597	43	379	66	1	27	16	60	49
112611	41	248	36	0	46	20	78	73
85574	34	351	71	0	37	21	78	36
220801	75	720	105	1	51	18	72	63
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
82316	32	245	34	4	27	10	39	38
102010	53	370	66	3	28	13	50	44
101523	42	316	76	0	59	22	88	87
41566	35	229	42	5	0	9	36	27
99923	66	617	115	0	44	25	99	80
22648	19	184	44	0	12	13	39	28
46698	45	274	35	0	14	13	52	33
131698	65	502	74	0	60	19	75	59
91735	35	382	103	0	7	18	71	49
79863	37	438	134	1	29	22	71	49
108043	62	466	29	1	45	14	54	38
98866	18	397	140	0	25	13	49	39
120445	118	457	72	0	36	16	59	56
116048	64	230	45	0	50	20	75	50
250047	81	651	58	0	41	18	71	61
136084	30	671	69	0	27	13	51	41
92499	32	319	57	0	25	18	71	55
135781	31	433	98	2	45	14	47	44
74408	67	434	61	4	29	7	28	21
81240	66	503	89	0	58	17	68	50
133368	36	535	54	1	37	16	64	57
98146	40	459	37	0	15	17	68	48
79619	43	426	123	3	42	11	40	32
59194	31	288	247	6	7	24	80	68
139942	42	498	46	0	54	22	88	87
118612	46	454	72	2	54	12	48	43
72880	33	376	41	0	14	19	76	67
65475	18	225	24	2	16	13	51	46
99643	55	555	45	1	33	17	67	46
71965	35	252	33	1	32	15	59	56
77272	59	208	27	2	21	16	61	48
49289	19	130	36	1	15	24	76	44
135131	66	481	87	0	38	15	60	60
108446	60	389	90	1	22	17	68	65
89746	36	565	114	3	28	18	71	55
44296	25	173	31	0	10	20	76	38
77648	47	278	45	0	31	16	62	52
181528	54	609	69	0	32	16	61	60
134019	53	422	51	0	32	18	67	54
124064	40	445	34	1	43	22	88	86
92630	40	387	60	4	27	8	30	24
121848	39	339	45	0	37	17	64	52
52915	14	181	54	0	20	18	68	49
81872	45	245	25	0	32	16	64	61
58981	36	384	38	7	0	23	91	61
53515	28	212	52	2	5	22	88	81
60812	44	399	67	0	26	13	52	43
56375	30	229	74	7	10	13	49	40
65490	22	224	38	3	27	16	62	40
80949	17	203	30	0	11	16	61	56
76302	31	333	26	0	29	20	76	68
104011	55	384	67	6	25	22	88	79
98104	54	636	132	2	55	17	66	47
67989	21	185	42	0	23	18	71	57
30989	14	93	35	0	5	17	68	41
135458	81	581	118	3	43	12	48	29
73504	35	248	68	0	23	7	25	3
63123	43	304	43	1	34	17	68	60
61254	46	344	76	1	36	14	41	30
74914	30	407	64	0	35	23	90	79
31774	23	170	48	1	0	17	66	47
81437	38	312	64	0	37	14	54	40
87186	54	507	56	0	28	15	59	48
50090	20	224	71	0	16	17	60	36
65745	53	340	75	0	26	21	77	42
56653	45	168	39	0	38	18	68	49
158399	39	443	42	0	23	18	72	57
46455	20	204	39	0	22	17	67	12
73624	24	367	93	0	30	17	64	40
38395	31	210	38	0	16	16	63	43
91899	35	335	60	0	18	15	59	33
139526	151	364	71	0	28	21	84	77
52164	52	178	52	0	32	16	64	43
51567	30	206	27	2	21	14	56	45
70551	31	279	59	0	23	15	54	47
84856	29	387	40	1	29	17	67	43
102538	57	490	79	1	50	15	58	45
86678	40	238	44	0	12	15	59	50
85709	44	343	65	0	21	10	40	35
34662	25	232	10	0	18	6	22	7
150580	77	530	124	0	27	22	83	71
99611	35	291	81	0	41	21	81	67
19349	11	67	15	0	13	1	2	0
99373	63	397	92	1	12	18	72	62
86230	44	467	42	0	21	17	61	54
30837	19	178	10	0	8	4	15	4
31706	13	175	24	0	26	10	32	25
89806	42	299	64	0	27	16	62	40
62088	38	154	45	1	13	16	58	38
40151	29	106	22	0	16	9	36	19
27634	20	189	56	0	2	16	59	17
76990	27	194	94	0	42	17	68	67
37460	20	135	19	0	5	7	21	14
54157	19	201	35	0	37	15	55	30
49862	37	207	32	0	17	14	54	54
84337	26	280	35	0	38	14	55	35
64175	42	260	48	0	37	18	72	59
59382	49	227	49	0	29	12	41	24
119308	30	239	48	0	32	16	61	58
76702	49	333	62	0	35	21	67	42
103425	67	428	96	1	17	19	76	46
70344	28	230	45	0	20	16	64	61
43410	19	292	63	0	7	1	3	3
104838	49	350	71	1	46	16	63	52
62215	27	186	26	0	24	10	40	25
69304	30	326	48	6	40	19	69	40
53117	22	155	29	3	3	12	48	32
19764	12	75	19	1	10	2	8	4
86680	31	361	45	2	37	14	52	49
84105	20	261	45	0	17	17	66	63
77945	20	299	67	0	28	19	76	67
89113	39	300	30	0	19	14	43	32
91005	29	450	36	3	29	11	39	23
40248	16	183	34	1	8	4	14	7
64187	27	238	36	0	10	16	61	54
50857	21	165	34	0	15	20	71	37
56613	19	234	37	1	15	12	44	35
62792	35	176	46	0	28	15	60	51
72535	14	329	44	0	17	16	64	39

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'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 & 2 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=159375&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]'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=159375&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159375&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'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=kendall)
time_in_rfcloginscompendium_views_infocompendium_views_prshared_compendiumsblogged_computationscompendiums_reviewedfeedback_messages_p1feedback_messages_p120
time_in_rfc10.4890.6050.380.0430.470.240.2520.382
logins0.48910.5230.3930.0740.40.1880.1860.261
compendium_views_info0.6050.52310.4720.1260.4170.1960.1920.27
compendium_views_pr0.380.3930.47210.0930.3070.2410.2050.225
shared_compendiums0.0430.0740.1260.09310.009-0.075-0.075-0.026
blogged_computations0.470.40.4170.3070.00910.2020.1950.256
compendiums_reviewed0.240.1880.1960.241-0.0750.20210.8980.598
feedback_messages_p10.2520.1860.1920.205-0.0750.1950.89810.644
feedback_messages_p120 0.3820.2610.270.225-0.0260.2560.5980.6441

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & time_in_rfc & logins & compendium_views_info & compendium_views_pr & shared_compendiums & blogged_computations & compendiums_reviewed & feedback_messages_p1 & feedback_messages_p120
 \tabularnewline
time_in_rfc & 1 & 0.489 & 0.605 & 0.38 & 0.043 & 0.47 & 0.24 & 0.252 & 0.382 \tabularnewline
logins & 0.489 & 1 & 0.523 & 0.393 & 0.074 & 0.4 & 0.188 & 0.186 & 0.261 \tabularnewline
compendium_views_info & 0.605 & 0.523 & 1 & 0.472 & 0.126 & 0.417 & 0.196 & 0.192 & 0.27 \tabularnewline
compendium_views_pr & 0.38 & 0.393 & 0.472 & 1 & 0.093 & 0.307 & 0.241 & 0.205 & 0.225 \tabularnewline
shared_compendiums & 0.043 & 0.074 & 0.126 & 0.093 & 1 & 0.009 & -0.075 & -0.075 & -0.026 \tabularnewline
blogged_computations & 0.47 & 0.4 & 0.417 & 0.307 & 0.009 & 1 & 0.202 & 0.195 & 0.256 \tabularnewline
compendiums_reviewed & 0.24 & 0.188 & 0.196 & 0.241 & -0.075 & 0.202 & 1 & 0.898 & 0.598 \tabularnewline
feedback_messages_p1 & 0.252 & 0.186 & 0.192 & 0.205 & -0.075 & 0.195 & 0.898 & 1 & 0.644 \tabularnewline
feedback_messages_p120
 & 0.382 & 0.261 & 0.27 & 0.225 & -0.026 & 0.256 & 0.598 & 0.644 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159375&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]time_in_rfc[/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]shared_compendiums[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][C]feedback_messages_p120
[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.489[/C][C]0.605[/C][C]0.38[/C][C]0.043[/C][C]0.47[/C][C]0.24[/C][C]0.252[/C][C]0.382[/C][/ROW]
[ROW][C]logins[/C][C]0.489[/C][C]1[/C][C]0.523[/C][C]0.393[/C][C]0.074[/C][C]0.4[/C][C]0.188[/C][C]0.186[/C][C]0.261[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.605[/C][C]0.523[/C][C]1[/C][C]0.472[/C][C]0.126[/C][C]0.417[/C][C]0.196[/C][C]0.192[/C][C]0.27[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.38[/C][C]0.393[/C][C]0.472[/C][C]1[/C][C]0.093[/C][C]0.307[/C][C]0.241[/C][C]0.205[/C][C]0.225[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.043[/C][C]0.074[/C][C]0.126[/C][C]0.093[/C][C]1[/C][C]0.009[/C][C]-0.075[/C][C]-0.075[/C][C]-0.026[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.47[/C][C]0.4[/C][C]0.417[/C][C]0.307[/C][C]0.009[/C][C]1[/C][C]0.202[/C][C]0.195[/C][C]0.256[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.24[/C][C]0.188[/C][C]0.196[/C][C]0.241[/C][C]-0.075[/C][C]0.202[/C][C]1[/C][C]0.898[/C][C]0.598[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.252[/C][C]0.186[/C][C]0.192[/C][C]0.205[/C][C]-0.075[/C][C]0.195[/C][C]0.898[/C][C]1[/C][C]0.644[/C][/ROW]
[ROW][C]feedback_messages_p120
[/C][C]0.382[/C][C]0.261[/C][C]0.27[/C][C]0.225[/C][C]-0.026[/C][C]0.256[/C][C]0.598[/C][C]0.644[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159375&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159375&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=kendall)
time_in_rfcloginscompendium_views_infocompendium_views_prshared_compendiumsblogged_computationscompendiums_reviewedfeedback_messages_p1feedback_messages_p120
time_in_rfc10.4890.6050.380.0430.470.240.2520.382
logins0.48910.5230.3930.0740.40.1880.1860.261
compendium_views_info0.6050.52310.4720.1260.4170.1960.1920.27
compendium_views_pr0.380.3930.47210.0930.3070.2410.2050.225
shared_compendiums0.0430.0740.1260.09310.009-0.075-0.075-0.026
blogged_computations0.470.40.4170.3070.00910.2020.1950.256
compendiums_reviewed0.240.1880.1960.241-0.0750.20210.8980.598
feedback_messages_p10.2520.1860.1920.205-0.0750.1950.89810.644
feedback_messages_p120 0.3820.2610.270.225-0.0260.2560.5980.6441






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;compendium_views_info0.83640.79590.6046
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.46730.53830.3797
p-value(0)(0)(0)
time_in_rfc;shared_compendiums-0.030.05780.0426
p-value(0.7313)(0.5084)(0.5251)
time_in_rfc;blogged_computations0.68370.65230.4697
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_p10.40750.35970.2517
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p120 0.53510.5350.3823
p-value(0)(0)(0)
logins;compendium_views_info0.71660.6960.5226
p-value(0)(0)(0)
logins;compendium_views_pr0.4790.5330.393
p-value(0)(0)(0)
logins;shared_compendiums0.00870.09960.0742
p-value(0.9206)(0.2538)(0.2726)
logins;blogged_computations0.57280.57140.3996
p-value(0)(0)(0)
logins;compendiums_reviewed0.29180.26020.1877
p-value(7e-04)(0.0025)(0.0021)
logins;feedback_messages_p10.30340.26220.1862
p-value(4e-04)(0.0023)(0.0018)
logins;feedback_messages_p120 0.39250.36970.2607
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.62270.64680.4719
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.08490.16510.1258
p-value(0.3312)(0.0575)(0.0608)
compendium_views_info;blogged_computations0.65840.58480.417
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.3260.27760.1959
p-value(1e-04)(0.0012)(0.0012)
compendium_views_info;feedback_messages_p10.34030.27550.1916
p-value(1e-04)(0.0013)(0.0012)
compendium_views_info;feedback_messages_p120 0.42620.38430.2697
p-value(0)(0)(0)
compendium_views_pr;shared_compendiums0.23650.11750.0927
p-value(0.0061)(0.1779)(0.1691)
compendium_views_pr;blogged_computations0.39520.43720.3074
p-value(0)(0)(0)
compendium_views_pr;compendiums_reviewed0.35270.33280.2407
p-value(0)(1e-04)(1e-04)
compendium_views_pr;feedback_messages_p10.30410.29750.2051
p-value(4e-04)(5e-04)(6e-04)
compendium_views_pr;feedback_messages_p120 0.33590.3180.2249
p-value(1e-04)(2e-04)(1e-04)
shared_compendiums;blogged_computations-0.09890.01350.009
p-value(0.2574)(0.8773)(0.8938)
shared_compendiums;compendiums_reviewed-0.0061-0.0831-0.0751
p-value(0.9443)(0.3419)(0.2778)
shared_compendiums;feedback_messages_p1-0.0094-0.0892-0.0755
p-value(0.9142)(0.3073)(0.2656)
shared_compendiums;feedback_messages_p120 0.0151-0.0244-0.026
p-value(0.8631)(0.78)(0.7006)
blogged_computations;compendiums_reviewed0.3370.27210.2022
p-value(1e-04)(0.0015)(9e-04)
blogged_computations;feedback_messages_p10.34320.27040.1955
p-value(1e-04)(0.0016)(0.0011)
blogged_computations;feedback_messages_p120 0.42180.35690.2557
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p10.97390.96720.8979
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p120 0.81740.74050.5976
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p120 0.86390.79670.6441
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 & 0.711 & 0.6629 & 0.4888 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8364 & 0.7959 & 0.6046 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.4673 & 0.5383 & 0.3797 \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
time_in_rfc;blogged_computations & 0.6837 & 0.6523 & 0.4697 \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_p1 & 0.4075 & 0.3597 & 0.2517 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;feedback_messages_p120
 & 0.5351 & 0.535 & 0.3823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.7166 & 0.696 & 0.5226 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_pr & 0.479 & 0.533 & 0.393 \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
logins;blogged_computations & 0.5728 & 0.5714 & 0.3996 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.2918 & 0.2602 & 0.1877 \tabularnewline
p-value & (7e-04) & (0.0025) & (0.0021) \tabularnewline
logins;feedback_messages_p1 & 0.3034 & 0.2622 & 0.1862 \tabularnewline
p-value & (4e-04) & (0.0023) & (0.0018) \tabularnewline
logins;feedback_messages_p120
 & 0.3925 & 0.3697 & 0.2607 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_views_pr & 0.6227 & 0.6468 & 0.4719 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.0849 & 0.1651 & 0.1258 \tabularnewline
p-value & (0.3312) & (0.0575) & (0.0608) \tabularnewline
compendium_views_info;blogged_computations & 0.6584 & 0.5848 & 0.417 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendiums_reviewed & 0.326 & 0.2776 & 0.1959 \tabularnewline
p-value & (1e-04) & (0.0012) & (0.0012) \tabularnewline
compendium_views_info;feedback_messages_p1 & 0.3403 & 0.2755 & 0.1916 \tabularnewline
p-value & (1e-04) & (0.0013) & (0.0012) \tabularnewline
compendium_views_info;feedback_messages_p120
 & 0.4262 & 0.3843 & 0.2697 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;shared_compendiums & 0.2365 & 0.1175 & 0.0927 \tabularnewline
p-value & (0.0061) & (0.1779) & (0.1691) \tabularnewline
compendium_views_pr;blogged_computations & 0.3952 & 0.4372 & 0.3074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.3527 & 0.3328 & 0.2407 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
compendium_views_pr;feedback_messages_p1 & 0.3041 & 0.2975 & 0.2051 \tabularnewline
p-value & (4e-04) & (5e-04) & (6e-04) \tabularnewline
compendium_views_pr;feedback_messages_p120
 & 0.3359 & 0.318 & 0.2249 \tabularnewline
p-value & (1e-04) & (2e-04) & (1e-04) \tabularnewline
shared_compendiums;blogged_computations & -0.0989 & 0.0135 & 0.009 \tabularnewline
p-value & (0.2574) & (0.8773) & (0.8938) \tabularnewline
shared_compendiums;compendiums_reviewed & -0.0061 & -0.0831 & -0.0751 \tabularnewline
p-value & (0.9443) & (0.3419) & (0.2778) \tabularnewline
shared_compendiums;feedback_messages_p1 & -0.0094 & -0.0892 & -0.0755 \tabularnewline
p-value & (0.9142) & (0.3073) & (0.2656) \tabularnewline
shared_compendiums;feedback_messages_p120
 & 0.0151 & -0.0244 & -0.026 \tabularnewline
p-value & (0.8631) & (0.78) & (0.7006) \tabularnewline
blogged_computations;compendiums_reviewed & 0.337 & 0.2721 & 0.2022 \tabularnewline
p-value & (1e-04) & (0.0015) & (9e-04) \tabularnewline
blogged_computations;feedback_messages_p1 & 0.3432 & 0.2704 & 0.1955 \tabularnewline
p-value & (1e-04) & (0.0016) & (0.0011) \tabularnewline
blogged_computations;feedback_messages_p120
 & 0.4218 & 0.3569 & 0.2557 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p1 & 0.9739 & 0.9672 & 0.8979 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;feedback_messages_p120
 & 0.8174 & 0.7405 & 0.5976 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;feedback_messages_p120
 & 0.8639 & 0.7967 & 0.6441 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159375&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;compendium_views_info[/C][C]0.8364[/C][C]0.7959[/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;compendium_views_pr[/C][C]0.4673[/C][C]0.5383[/C][C]0.3797[/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]time_in_rfc;blogged_computations[/C][C]0.6837[/C][C]0.6523[/C][C]0.4697[/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_p1[/C][C]0.4075[/C][C]0.3597[/C][C]0.2517[/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]0.5351[/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]logins;compendium_views_info[/C][C]0.7166[/C][C]0.696[/C][C]0.5226[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_pr[/C][C]0.479[/C][C]0.533[/C][C]0.393[/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]logins;blogged_computations[/C][C]0.5728[/C][C]0.5714[/C][C]0.3996[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.2918[/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_p1[/C][C]0.3034[/C][C]0.2622[/C][C]0.1862[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.0023)[/C][C](0.0018)[/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]compendium_views_info;compendium_views_pr[/C][C]0.6227[/C][C]0.6468[/C][C]0.4719[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;shared_compendiums[/C][C]0.0849[/C][C]0.1651[/C][C]0.1258[/C][/ROW]
[ROW][C]p-value[/C][C](0.3312)[/C][C](0.0575)[/C][C](0.0608)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.6584[/C][C]0.5848[/C][C]0.417[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendiums_reviewed[/C][C]0.326[/C][C]0.2776[/C][C]0.1959[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0012)[/C][C](0.0012)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p1[/C][C]0.3403[/C][C]0.2755[/C][C]0.1916[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0013)[/C][C](0.0012)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p120
[/C][C]0.4262[/C][C]0.3843[/C][C]0.2697[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]0.2365[/C][C]0.1175[/C][C]0.0927[/C][/ROW]
[ROW][C]p-value[/C][C](0.0061)[/C][C](0.1779)[/C][C](0.1691)[/C][/ROW]
[ROW][C]compendium_views_pr;blogged_computations[/C][C]0.3952[/C][C]0.4372[/C][C]0.3074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;compendiums_reviewed[/C][C]0.3527[/C][C]0.3328[/C][C]0.2407[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p1[/C][C]0.3041[/C][C]0.2975[/C][C]0.2051[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](5e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]compendium_views_pr;feedback_messages_p120
[/C][C]0.3359[/C][C]0.318[/C][C]0.2249[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]-0.0989[/C][C]0.0135[/C][C]0.009[/C][/ROW]
[ROW][C]p-value[/C][C](0.2574)[/C][C](0.8773)[/C][C](0.8938)[/C][/ROW]
[ROW][C]shared_compendiums;compendiums_reviewed[/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]shared_compendiums;feedback_messages_p1[/C][C]-0.0094[/C][C]-0.0892[/C][C]-0.0755[/C][/ROW]
[ROW][C]p-value[/C][C](0.9142)[/C][C](0.3073)[/C][C](0.2656)[/C][/ROW]
[ROW][C]shared_compendiums;feedback_messages_p120
[/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]blogged_computations;compendiums_reviewed[/C][C]0.337[/C][C]0.2721[/C][C]0.2022[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0015)[/C][C](9e-04)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p1[/C][C]0.3432[/C][C]0.2704[/C][C]0.1955[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0016)[/C][C](0.0011)[/C][/ROW]
[ROW][C]blogged_computations;feedback_messages_p120
[/C][C]0.4218[/C][C]0.3569[/C][C]0.2557[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;feedback_messages_p1[/C][C]0.9739[/C][C]0.9672[/C][C]0.8979[/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]0.8174[/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]feedback_messages_p1;feedback_messages_p120
[/C][C]0.8639[/C][C]0.7967[/C][C]0.6441[/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=159375&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159375&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;compendium_views_info0.83640.79590.6046
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.46730.53830.3797
p-value(0)(0)(0)
time_in_rfc;shared_compendiums-0.030.05780.0426
p-value(0.7313)(0.5084)(0.5251)
time_in_rfc;blogged_computations0.68370.65230.4697
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_p10.40750.35970.2517
p-value(0)(0)(0)
time_in_rfc;feedback_messages_p120 0.53510.5350.3823
p-value(0)(0)(0)
logins;compendium_views_info0.71660.6960.5226
p-value(0)(0)(0)
logins;compendium_views_pr0.4790.5330.393
p-value(0)(0)(0)
logins;shared_compendiums0.00870.09960.0742
p-value(0.9206)(0.2538)(0.2726)
logins;blogged_computations0.57280.57140.3996
p-value(0)(0)(0)
logins;compendiums_reviewed0.29180.26020.1877
p-value(7e-04)(0.0025)(0.0021)
logins;feedback_messages_p10.30340.26220.1862
p-value(4e-04)(0.0023)(0.0018)
logins;feedback_messages_p120 0.39250.36970.2607
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.62270.64680.4719
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.08490.16510.1258
p-value(0.3312)(0.0575)(0.0608)
compendium_views_info;blogged_computations0.65840.58480.417
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.3260.27760.1959
p-value(1e-04)(0.0012)(0.0012)
compendium_views_info;feedback_messages_p10.34030.27550.1916
p-value(1e-04)(0.0013)(0.0012)
compendium_views_info;feedback_messages_p120 0.42620.38430.2697
p-value(0)(0)(0)
compendium_views_pr;shared_compendiums0.23650.11750.0927
p-value(0.0061)(0.1779)(0.1691)
compendium_views_pr;blogged_computations0.39520.43720.3074
p-value(0)(0)(0)
compendium_views_pr;compendiums_reviewed0.35270.33280.2407
p-value(0)(1e-04)(1e-04)
compendium_views_pr;feedback_messages_p10.30410.29750.2051
p-value(4e-04)(5e-04)(6e-04)
compendium_views_pr;feedback_messages_p120 0.33590.3180.2249
p-value(1e-04)(2e-04)(1e-04)
shared_compendiums;blogged_computations-0.09890.01350.009
p-value(0.2574)(0.8773)(0.8938)
shared_compendiums;compendiums_reviewed-0.0061-0.0831-0.0751
p-value(0.9443)(0.3419)(0.2778)
shared_compendiums;feedback_messages_p1-0.0094-0.0892-0.0755
p-value(0.9142)(0.3073)(0.2656)
shared_compendiums;feedback_messages_p120 0.0151-0.0244-0.026
p-value(0.8631)(0.78)(0.7006)
blogged_computations;compendiums_reviewed0.3370.27210.2022
p-value(1e-04)(0.0015)(9e-04)
blogged_computations;feedback_messages_p10.34320.27040.1955
p-value(1e-04)(0.0016)(0.0011)
blogged_computations;feedback_messages_p120 0.42180.35690.2557
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p10.97390.96720.8979
p-value(0)(0)(0)
compendiums_reviewed;feedback_messages_p120 0.81740.74050.5976
p-value(0)(0)(0)
feedback_messages_p1;feedback_messages_p120 0.86390.79670.6441
p-value(0)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = kendall ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')