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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 06 Dec 2012 07:28:03 -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/2012/Dec/06/t1354796914zimtqvdasyp6xbi.htm/, Retrieved Thu, 28 Mar 2024 20:06:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197037, Retrieved Thu, 28 Mar 2024 20:06:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
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] [] [2012-12-06 12:28:03] [eace0511beeaae09dbb51bfebd62c02b] [Current]
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Dataseries X:
	299775	41	38	7	53	145	56	1641
	195838	39	32	5	86	101	56	2035
	173260	30	35	5	66	98	54	2312
	254488	31	33	5	67	132	89	1369
	104389	34	37	8	76	60	40	1577
	136084	35	29	6	78	38	25	2201
	199476	39	31	5	53	144	92	961
	92499	34	36	6	80	5	18	1900
	224330	36	35	5	74	28	63	1254
	135781	37	38	4	76	84	44	1335
	74408	38	31	6	79	79	33	1597
	81240	36	34	5	54	127	84	207
	14688	38	35	5	67	78	88	1645
	181633	39	38	6	54	60	55	2429
	271856	33	37	7	87	131	60	151
	7199	32	33	6	58	84	66	474
	46660	36	32	7	75	133	154	141
	17547	38	38	6	88	150	53	1639
	133368	39	38	8	64	91	119	872
	95227	32	32	7	57	132	41	1318
	152601	32	33	5	66	136	61	1018
	98146	31	31	5	68	124	58	1383
	79619	39	38	7	54	118	75	1314
	59194	37	39	7	56	70	33	1335
	139942	39	32	5	86	107	40	1403
	118612	41	32	4	80	119	92	910
	72880	36	35	10	76	89	100	616
	65475	33	37	6	69	112	112	1407
	99643	33	33	5	78	108	73	771
	71965	34	33	5	67	52	40	766
	77272	31	28	5	80	112	45	473
	49289	27	32	5	54	116	60	1376
	135131	37	31	6	71	123	62	1232
	108446	34	37	5	84	125	75	1521
	89746	34	30	5	74	27	31	572
	44296	32	33	5	71	162	77	1059
	77648	29	31	5	63	32	34	1544
	181528	36	33	5	71	64	46	1230
	134019	29	31	5	76	92	99	1206
	124064	35	33	5	69	0	17	1205
	92630	37	32	5	74	83	66	1255
	121848	34	33	7	75	41	30	613
	52915	38	32	5	54	47	76	721
	81872	35	33	6	52	120	146	1109
	58981	38	28	7	69	105	67	740
	53515	37	35	7	68	79	56	1126
	60812	38	39	5	65	65	107	728
	56375	33	34	5	75	70	58	689
	65490	36	38	4	74	55	34	592
	80949	38	32	5	75	39	61	995
	76302	32	38	4	72	67	119	1613
	104011	32	30	5	67	21	42	2048
	98104	32	33	5	63	127	66	705
	67989	34	38	7	62	152	89	301
	30989	32	32	5	63	113	44	1803
	135458	37	32	5	76	99	66	799
	73504	39	34	6	74	7	24	861
	63123	29	34	4	67	141	259	1186
	61254	37	36	6	73	21	17	1451
	74914	35	34	6	70	35	64	628
	31774	30	28	5	53	109	41	1161
	81437	38	34	7	77	133	68	1463
	87186	34	35	6	77	123	168	742
	50090	31	35	8	52	26	43	979
	65745	34	31	7	54	230	132	675
	56653	35	37	5	80	166	105	1241
	158399	36	35	6	66	68	71	676
	46455	30	27	6	73	147	112	1049
	73624	39	40	5	63	179	94	620
	38395	35	37	5	69	61	82	1081
	91899	38	36	5	67	101	70	1688
	139526	31	38	5	54	108	57	736
	52164	34	39	4	81	90	53	617
	51567	38	41	6	69	114	103	812
	70551	34	27	6	84	103	121	1051
	84856	39	30	6	80	142	62	1656
	102538	37	37	6	70	79	52	705
	86678	34	31	7	69	88	52	945
	85709	28	31	5	77	25	32	554
	34662	37	27	7	54	83	62	1597
	150580	33	36	6	79	113	45	982
	99611	37	38	5	30	118	46	222
	19349	35	37	5	71	110	63	1212
	99373	37	33	4	73	129	75	1143
	86230	32	34	8	72	51	88	435
	30837	33	31	8	77	93	46	532
	31706	38	39	5	75	76	53	882
	89806	33	34	5	69	49	37	608
	62088	29	32	6	54	118	90	459
	40151	33	33	4	70	38	63	578
	27634	31	36	5	73	141	78	826
	76990	36	32	5	54	58	25	509
	37460	35	41	5	77	27	45	717
	54157	32	28	5	82	91	46	637
	49862	29	30	6	80	48	41	857
	84337	39	36	6	80	63	144	830
	64175	37	35	5	69	56	82	652
	59382	35	31	6	78	144	91	707
	119308	37	34	5	81	73	71	954
	76702	32	36	7	76	168	63	1461
	103425	38	36	5	76	64	53	672
	70344	37	35	6	73	97	62	778
	43410	36	37	6	85	117	63	1141
	104838	32	28	6	66	100	32	680
	62215	33	39	4	79	149	39	1090
	69304	40	32	5	68	187	62	616
	53117	38	35	5	76	127	117	285
	19764	41	39	7	71	37	34	1145
	86680	36	35	6	54	245	92	733
	84105	43	42	9	46	87	93	888




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197037&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197037&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197037&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Correlations for all pairs of data series (method=pearson)
Time_in_RFCConnectedSeparateagebeloningtotblogsLoginpagviews
Time_in_RFC10.1070.014-0.0170.0040.027-0.0860.214
Connected0.10710.3450.16-0.002-0.002-0.0010.045
Separate0.0140.34510.06-0.079-0.0060.07-0.016
age-0.0170.160.061-0.1420.0220.031-0.058
beloning0.004-0.002-0.079-0.1421-0.117-0.0610.075
totblogs0.027-0.002-0.0060.022-0.11710.444-0.093
Login-0.086-0.0010.070.031-0.0610.4441-0.172
pagviews0.2140.045-0.016-0.0580.075-0.093-0.1721

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Time_in_RFC & Connected & Separate & age & beloning & totblogs & Login & pagviews \tabularnewline
Time_in_RFC & 1 & 0.107 & 0.014 & -0.017 & 0.004 & 0.027 & -0.086 & 0.214 \tabularnewline
Connected & 0.107 & 1 & 0.345 & 0.16 & -0.002 & -0.002 & -0.001 & 0.045 \tabularnewline
Separate & 0.014 & 0.345 & 1 & 0.06 & -0.079 & -0.006 & 0.07 & -0.016 \tabularnewline
age & -0.017 & 0.16 & 0.06 & 1 & -0.142 & 0.022 & 0.031 & -0.058 \tabularnewline
beloning & 0.004 & -0.002 & -0.079 & -0.142 & 1 & -0.117 & -0.061 & 0.075 \tabularnewline
totblogs & 0.027 & -0.002 & -0.006 & 0.022 & -0.117 & 1 & 0.444 & -0.093 \tabularnewline
Login & -0.086 & -0.001 & 0.07 & 0.031 & -0.061 & 0.444 & 1 & -0.172 \tabularnewline
pagviews & 0.214 & 0.045 & -0.016 & -0.058 & 0.075 & -0.093 & -0.172 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197037&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]Connected[/C][C]Separate[/C][C]age[/C][C]beloning[/C][C]totblogs[/C][C]Login[/C][C]pagviews[/C][/ROW]
[ROW][C]Time_in_RFC[/C][C]1[/C][C]0.107[/C][C]0.014[/C][C]-0.017[/C][C]0.004[/C][C]0.027[/C][C]-0.086[/C][C]0.214[/C][/ROW]
[ROW][C]Connected[/C][C]0.107[/C][C]1[/C][C]0.345[/C][C]0.16[/C][C]-0.002[/C][C]-0.002[/C][C]-0.001[/C][C]0.045[/C][/ROW]
[ROW][C]Separate[/C][C]0.014[/C][C]0.345[/C][C]1[/C][C]0.06[/C][C]-0.079[/C][C]-0.006[/C][C]0.07[/C][C]-0.016[/C][/ROW]
[ROW][C]age[/C][C]-0.017[/C][C]0.16[/C][C]0.06[/C][C]1[/C][C]-0.142[/C][C]0.022[/C][C]0.031[/C][C]-0.058[/C][/ROW]
[ROW][C]beloning[/C][C]0.004[/C][C]-0.002[/C][C]-0.079[/C][C]-0.142[/C][C]1[/C][C]-0.117[/C][C]-0.061[/C][C]0.075[/C][/ROW]
[ROW][C]totblogs[/C][C]0.027[/C][C]-0.002[/C][C]-0.006[/C][C]0.022[/C][C]-0.117[/C][C]1[/C][C]0.444[/C][C]-0.093[/C][/ROW]
[ROW][C]Login[/C][C]-0.086[/C][C]-0.001[/C][C]0.07[/C][C]0.031[/C][C]-0.061[/C][C]0.444[/C][C]1[/C][C]-0.172[/C][/ROW]
[ROW][C]pagviews[/C][C]0.214[/C][C]0.045[/C][C]-0.016[/C][C]-0.058[/C][C]0.075[/C][C]-0.093[/C][C]-0.172[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197037&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197037&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_RFCConnectedSeparateagebeloningtotblogsLoginpagviews
Time_in_RFC10.1070.014-0.0170.0040.027-0.0860.214
Connected0.10710.3450.16-0.002-0.002-0.0010.045
Separate0.0140.34510.06-0.079-0.0060.07-0.016
age-0.0170.160.061-0.1420.0220.031-0.058
beloning0.004-0.002-0.079-0.1421-0.117-0.0610.075
totblogs0.027-0.002-0.0060.022-0.11710.444-0.093
Login-0.086-0.0010.070.031-0.0610.4441-0.172
pagviews0.2140.045-0.016-0.0580.075-0.093-0.1721







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Time_in_RFC;Connected0.1070.09120.0611
p-value(0.2657)(0.3434)(0.3622)
Time_in_RFC;Separate0.0137-0.0575-0.0374
p-value(0.8871)(0.5506)(0.5768)
Time_in_RFC;age-0.0173-0.0494-0.0393
p-value(0.8577)(0.6079)(0.5864)
Time_in_RFC;beloning0.00430.02720.0201
p-value(0.9646)(0.7781)(0.7601)
Time_in_RFC;totblogs0.0271-0.014-0.0114
p-value(0.7789)(0.8842)(0.8606)
Time_in_RFC;Login-0.0858-0.106-0.0683
p-value(0.3729)(0.2704)(0.293)
Time_in_RFC;pagviews0.21360.16890.1093
p-value(0.0251)(0.0778)(0.0907)
Connected;Separate0.34480.30440.228
p-value(2e-04)(0.0012)(0.0011)
Connected;age0.15960.13060.0998
p-value(0.0958)(0.174)(0.1841)
Connected;beloning-0.00160.03730.0275
p-value(0.9869)(0.6985)(0.6869)
Connected;totblogs-0.0017-0.0281-0.014
p-value(0.9856)(0.7707)(0.8355)
Connected;Login-0.0010.1090.0748
p-value(0.9914)(0.2569)(0.2675)
Connected;pagviews0.04450.0910.0739
p-value(0.644)(0.3444)(0.271)
Separate;age0.05990.01770.0133
p-value(0.5343)(0.8544)(0.8598)
Separate;beloning-0.079-0.0477-0.0296
p-value(0.4119)(0.6205)(0.6642)
Separate;totblogs-0.0061-0.0058-7e-04
p-value(0.9492)(0.9517)(0.9917)
Separate;Login0.07030.10560.0682
p-value(0.4653)(0.2721)(0.3112)
Separate;pagviews-0.01580.01660.011
p-value(0.8696)(0.8636)(0.8701)
age;beloning-0.1415-0.0994-0.0782
p-value(0.1403)(0.3013)(0.2881)
age;totblogs0.02180.03230.0261
p-value(0.8213)(0.7374)(0.7188)
age;Login0.03150.03630.0292
p-value(0.744)(0.7063)(0.6882)
age;pagviews-0.058-0.0117-0.0052
p-value(0.5476)(0.9036)(0.943)
beloning;totblogs-0.1171-0.0518-0.0324
p-value(0.223)(0.591)(0.623)
beloning;Login-0.061-0.1056-0.0734
p-value(0.527)(0.2724)(0.2669)
beloning;pagviews0.07490.03680.0282
p-value(0.4367)(0.7023)(0.6676)
totblogs;Login0.44390.49970.358
p-value(0)(0)(0)
totblogs;pagviews-0.09310.0030.007
p-value(0.3333)(0.975)(0.9136)
Login;pagviews-0.1719-0.139-0.0925
p-value(0.0725)(0.1476)(0.1545)

\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;Connected & 0.107 & 0.0912 & 0.0611 \tabularnewline
p-value & (0.2657) & (0.3434) & (0.3622) \tabularnewline
Time_in_RFC;Separate & 0.0137 & -0.0575 & -0.0374 \tabularnewline
p-value & (0.8871) & (0.5506) & (0.5768) \tabularnewline
Time_in_RFC;age & -0.0173 & -0.0494 & -0.0393 \tabularnewline
p-value & (0.8577) & (0.6079) & (0.5864) \tabularnewline
Time_in_RFC;beloning & 0.0043 & 0.0272 & 0.0201 \tabularnewline
p-value & (0.9646) & (0.7781) & (0.7601) \tabularnewline
Time_in_RFC;totblogs & 0.0271 & -0.014 & -0.0114 \tabularnewline
p-value & (0.7789) & (0.8842) & (0.8606) \tabularnewline
Time_in_RFC;Login & -0.0858 & -0.106 & -0.0683 \tabularnewline
p-value & (0.3729) & (0.2704) & (0.293) \tabularnewline
Time_in_RFC;pagviews & 0.2136 & 0.1689 & 0.1093 \tabularnewline
p-value & (0.0251) & (0.0778) & (0.0907) \tabularnewline
Connected;Separate & 0.3448 & 0.3044 & 0.228 \tabularnewline
p-value & (2e-04) & (0.0012) & (0.0011) \tabularnewline
Connected;age & 0.1596 & 0.1306 & 0.0998 \tabularnewline
p-value & (0.0958) & (0.174) & (0.1841) \tabularnewline
Connected;beloning & -0.0016 & 0.0373 & 0.0275 \tabularnewline
p-value & (0.9869) & (0.6985) & (0.6869) \tabularnewline
Connected;totblogs & -0.0017 & -0.0281 & -0.014 \tabularnewline
p-value & (0.9856) & (0.7707) & (0.8355) \tabularnewline
Connected;Login & -0.001 & 0.109 & 0.0748 \tabularnewline
p-value & (0.9914) & (0.2569) & (0.2675) \tabularnewline
Connected;pagviews & 0.0445 & 0.091 & 0.0739 \tabularnewline
p-value & (0.644) & (0.3444) & (0.271) \tabularnewline
Separate;age & 0.0599 & 0.0177 & 0.0133 \tabularnewline
p-value & (0.5343) & (0.8544) & (0.8598) \tabularnewline
Separate;beloning & -0.079 & -0.0477 & -0.0296 \tabularnewline
p-value & (0.4119) & (0.6205) & (0.6642) \tabularnewline
Separate;totblogs & -0.0061 & -0.0058 & -7e-04 \tabularnewline
p-value & (0.9492) & (0.9517) & (0.9917) \tabularnewline
Separate;Login & 0.0703 & 0.1056 & 0.0682 \tabularnewline
p-value & (0.4653) & (0.2721) & (0.3112) \tabularnewline
Separate;pagviews & -0.0158 & 0.0166 & 0.011 \tabularnewline
p-value & (0.8696) & (0.8636) & (0.8701) \tabularnewline
age;beloning & -0.1415 & -0.0994 & -0.0782 \tabularnewline
p-value & (0.1403) & (0.3013) & (0.2881) \tabularnewline
age;totblogs & 0.0218 & 0.0323 & 0.0261 \tabularnewline
p-value & (0.8213) & (0.7374) & (0.7188) \tabularnewline
age;Login & 0.0315 & 0.0363 & 0.0292 \tabularnewline
p-value & (0.744) & (0.7063) & (0.6882) \tabularnewline
age;pagviews & -0.058 & -0.0117 & -0.0052 \tabularnewline
p-value & (0.5476) & (0.9036) & (0.943) \tabularnewline
beloning;totblogs & -0.1171 & -0.0518 & -0.0324 \tabularnewline
p-value & (0.223) & (0.591) & (0.623) \tabularnewline
beloning;Login & -0.061 & -0.1056 & -0.0734 \tabularnewline
p-value & (0.527) & (0.2724) & (0.2669) \tabularnewline
beloning;pagviews & 0.0749 & 0.0368 & 0.0282 \tabularnewline
p-value & (0.4367) & (0.7023) & (0.6676) \tabularnewline
totblogs;Login & 0.4439 & 0.4997 & 0.358 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totblogs;pagviews & -0.0931 & 0.003 & 0.007 \tabularnewline
p-value & (0.3333) & (0.975) & (0.9136) \tabularnewline
Login;pagviews & -0.1719 & -0.139 & -0.0925 \tabularnewline
p-value & (0.0725) & (0.1476) & (0.1545) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197037&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;Connected[/C][C]0.107[/C][C]0.0912[/C][C]0.0611[/C][/ROW]
[ROW][C]p-value[/C][C](0.2657)[/C][C](0.3434)[/C][C](0.3622)[/C][/ROW]
[ROW][C]Time_in_RFC;Separate[/C][C]0.0137[/C][C]-0.0575[/C][C]-0.0374[/C][/ROW]
[ROW][C]p-value[/C][C](0.8871)[/C][C](0.5506)[/C][C](0.5768)[/C][/ROW]
[ROW][C]Time_in_RFC;age[/C][C]-0.0173[/C][C]-0.0494[/C][C]-0.0393[/C][/ROW]
[ROW][C]p-value[/C][C](0.8577)[/C][C](0.6079)[/C][C](0.5864)[/C][/ROW]
[ROW][C]Time_in_RFC;beloning[/C][C]0.0043[/C][C]0.0272[/C][C]0.0201[/C][/ROW]
[ROW][C]p-value[/C][C](0.9646)[/C][C](0.7781)[/C][C](0.7601)[/C][/ROW]
[ROW][C]Time_in_RFC;totblogs[/C][C]0.0271[/C][C]-0.014[/C][C]-0.0114[/C][/ROW]
[ROW][C]p-value[/C][C](0.7789)[/C][C](0.8842)[/C][C](0.8606)[/C][/ROW]
[ROW][C]Time_in_RFC;Login[/C][C]-0.0858[/C][C]-0.106[/C][C]-0.0683[/C][/ROW]
[ROW][C]p-value[/C][C](0.3729)[/C][C](0.2704)[/C][C](0.293)[/C][/ROW]
[ROW][C]Time_in_RFC;pagviews[/C][C]0.2136[/C][C]0.1689[/C][C]0.1093[/C][/ROW]
[ROW][C]p-value[/C][C](0.0251)[/C][C](0.0778)[/C][C](0.0907)[/C][/ROW]
[ROW][C]Connected;Separate[/C][C]0.3448[/C][C]0.3044[/C][C]0.228[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0.0012)[/C][C](0.0011)[/C][/ROW]
[ROW][C]Connected;age[/C][C]0.1596[/C][C]0.1306[/C][C]0.0998[/C][/ROW]
[ROW][C]p-value[/C][C](0.0958)[/C][C](0.174)[/C][C](0.1841)[/C][/ROW]
[ROW][C]Connected;beloning[/C][C]-0.0016[/C][C]0.0373[/C][C]0.0275[/C][/ROW]
[ROW][C]p-value[/C][C](0.9869)[/C][C](0.6985)[/C][C](0.6869)[/C][/ROW]
[ROW][C]Connected;totblogs[/C][C]-0.0017[/C][C]-0.0281[/C][C]-0.014[/C][/ROW]
[ROW][C]p-value[/C][C](0.9856)[/C][C](0.7707)[/C][C](0.8355)[/C][/ROW]
[ROW][C]Connected;Login[/C][C]-0.001[/C][C]0.109[/C][C]0.0748[/C][/ROW]
[ROW][C]p-value[/C][C](0.9914)[/C][C](0.2569)[/C][C](0.2675)[/C][/ROW]
[ROW][C]Connected;pagviews[/C][C]0.0445[/C][C]0.091[/C][C]0.0739[/C][/ROW]
[ROW][C]p-value[/C][C](0.644)[/C][C](0.3444)[/C][C](0.271)[/C][/ROW]
[ROW][C]Separate;age[/C][C]0.0599[/C][C]0.0177[/C][C]0.0133[/C][/ROW]
[ROW][C]p-value[/C][C](0.5343)[/C][C](0.8544)[/C][C](0.8598)[/C][/ROW]
[ROW][C]Separate;beloning[/C][C]-0.079[/C][C]-0.0477[/C][C]-0.0296[/C][/ROW]
[ROW][C]p-value[/C][C](0.4119)[/C][C](0.6205)[/C][C](0.6642)[/C][/ROW]
[ROW][C]Separate;totblogs[/C][C]-0.0061[/C][C]-0.0058[/C][C]-7e-04[/C][/ROW]
[ROW][C]p-value[/C][C](0.9492)[/C][C](0.9517)[/C][C](0.9917)[/C][/ROW]
[ROW][C]Separate;Login[/C][C]0.0703[/C][C]0.1056[/C][C]0.0682[/C][/ROW]
[ROW][C]p-value[/C][C](0.4653)[/C][C](0.2721)[/C][C](0.3112)[/C][/ROW]
[ROW][C]Separate;pagviews[/C][C]-0.0158[/C][C]0.0166[/C][C]0.011[/C][/ROW]
[ROW][C]p-value[/C][C](0.8696)[/C][C](0.8636)[/C][C](0.8701)[/C][/ROW]
[ROW][C]age;beloning[/C][C]-0.1415[/C][C]-0.0994[/C][C]-0.0782[/C][/ROW]
[ROW][C]p-value[/C][C](0.1403)[/C][C](0.3013)[/C][C](0.2881)[/C][/ROW]
[ROW][C]age;totblogs[/C][C]0.0218[/C][C]0.0323[/C][C]0.0261[/C][/ROW]
[ROW][C]p-value[/C][C](0.8213)[/C][C](0.7374)[/C][C](0.7188)[/C][/ROW]
[ROW][C]age;Login[/C][C]0.0315[/C][C]0.0363[/C][C]0.0292[/C][/ROW]
[ROW][C]p-value[/C][C](0.744)[/C][C](0.7063)[/C][C](0.6882)[/C][/ROW]
[ROW][C]age;pagviews[/C][C]-0.058[/C][C]-0.0117[/C][C]-0.0052[/C][/ROW]
[ROW][C]p-value[/C][C](0.5476)[/C][C](0.9036)[/C][C](0.943)[/C][/ROW]
[ROW][C]beloning;totblogs[/C][C]-0.1171[/C][C]-0.0518[/C][C]-0.0324[/C][/ROW]
[ROW][C]p-value[/C][C](0.223)[/C][C](0.591)[/C][C](0.623)[/C][/ROW]
[ROW][C]beloning;Login[/C][C]-0.061[/C][C]-0.1056[/C][C]-0.0734[/C][/ROW]
[ROW][C]p-value[/C][C](0.527)[/C][C](0.2724)[/C][C](0.2669)[/C][/ROW]
[ROW][C]beloning;pagviews[/C][C]0.0749[/C][C]0.0368[/C][C]0.0282[/C][/ROW]
[ROW][C]p-value[/C][C](0.4367)[/C][C](0.7023)[/C][C](0.6676)[/C][/ROW]
[ROW][C]totblogs;Login[/C][C]0.4439[/C][C]0.4997[/C][C]0.358[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totblogs;pagviews[/C][C]-0.0931[/C][C]0.003[/C][C]0.007[/C][/ROW]
[ROW][C]p-value[/C][C](0.3333)[/C][C](0.975)[/C][C](0.9136)[/C][/ROW]
[ROW][C]Login;pagviews[/C][C]-0.1719[/C][C]-0.139[/C][C]-0.0925[/C][/ROW]
[ROW][C]p-value[/C][C](0.0725)[/C][C](0.1476)[/C][C](0.1545)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197037&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197037&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
pairPearson rSpearman rhoKendall tau
Time_in_RFC;Connected0.1070.09120.0611
p-value(0.2657)(0.3434)(0.3622)
Time_in_RFC;Separate0.0137-0.0575-0.0374
p-value(0.8871)(0.5506)(0.5768)
Time_in_RFC;age-0.0173-0.0494-0.0393
p-value(0.8577)(0.6079)(0.5864)
Time_in_RFC;beloning0.00430.02720.0201
p-value(0.9646)(0.7781)(0.7601)
Time_in_RFC;totblogs0.0271-0.014-0.0114
p-value(0.7789)(0.8842)(0.8606)
Time_in_RFC;Login-0.0858-0.106-0.0683
p-value(0.3729)(0.2704)(0.293)
Time_in_RFC;pagviews0.21360.16890.1093
p-value(0.0251)(0.0778)(0.0907)
Connected;Separate0.34480.30440.228
p-value(2e-04)(0.0012)(0.0011)
Connected;age0.15960.13060.0998
p-value(0.0958)(0.174)(0.1841)
Connected;beloning-0.00160.03730.0275
p-value(0.9869)(0.6985)(0.6869)
Connected;totblogs-0.0017-0.0281-0.014
p-value(0.9856)(0.7707)(0.8355)
Connected;Login-0.0010.1090.0748
p-value(0.9914)(0.2569)(0.2675)
Connected;pagviews0.04450.0910.0739
p-value(0.644)(0.3444)(0.271)
Separate;age0.05990.01770.0133
p-value(0.5343)(0.8544)(0.8598)
Separate;beloning-0.079-0.0477-0.0296
p-value(0.4119)(0.6205)(0.6642)
Separate;totblogs-0.0061-0.0058-7e-04
p-value(0.9492)(0.9517)(0.9917)
Separate;Login0.07030.10560.0682
p-value(0.4653)(0.2721)(0.3112)
Separate;pagviews-0.01580.01660.011
p-value(0.8696)(0.8636)(0.8701)
age;beloning-0.1415-0.0994-0.0782
p-value(0.1403)(0.3013)(0.2881)
age;totblogs0.02180.03230.0261
p-value(0.8213)(0.7374)(0.7188)
age;Login0.03150.03630.0292
p-value(0.744)(0.7063)(0.6882)
age;pagviews-0.058-0.0117-0.0052
p-value(0.5476)(0.9036)(0.943)
beloning;totblogs-0.1171-0.0518-0.0324
p-value(0.223)(0.591)(0.623)
beloning;Login-0.061-0.1056-0.0734
p-value(0.527)(0.2724)(0.2669)
beloning;pagviews0.07490.03680.0282
p-value(0.4367)(0.7023)(0.6676)
totblogs;Login0.44390.49970.358
p-value(0)(0)(0)
totblogs;pagviews-0.09310.0030.007
p-value(0.3333)(0.975)(0.9136)
Login;pagviews-0.1719-0.139-0.0925
p-value(0.0725)(0.1476)(0.1545)



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')