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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, 06 Dec 2012 07:40:18 -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/t1354797658jhve3850lj8afbu.htm/, Retrieved Wed, 24 Apr 2024 23:50:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197047, Retrieved Wed, 24 Apr 2024 23:50:49 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [Workshop 10 - Pea...] [2012-12-06 12:40:18] [88970af05b38e2e8b1d3faaed6004b57] [Current]
- R P       [Kendall tau Correlation Matrix] [Workshop 10 - Ken...] [2012-12-06 13:00:24] [498ff5d3288f0a3191251bab12f09e42]
- RMP       [Recursive Partitioning (Regression Trees)] [Workshop 10 - Rec...] [2012-12-06 13:06:25] [498ff5d3288f0a3191251bab12f09e42]
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Dataseries X:
1418	210907	56	396	3	115	112285
869	120982	56	297	4	109	84786
1530	176508	54	559	12	146	83123
2172	179321	89	967	2	116	101193
901	123185	40	270	1	68	38361
463	52746	25	143	3	101	68504
3201	385534	92	1562	0	96	119182
371	33170	18	109	0	67	22807
1583	149061	44	656	5	100	116174
1439	165446	33	511	0	93	57635
1764	237213	84	655	0	140	66198
1495	173326	88	465	7	166	71701
1373	133131	55	525	7	99	57793
2187	258873	60	885	3	139	80444
1491	180083	66	497	9	130	53855
4041	324799	154	1436	0	181	97668
1706	230964	53	612	4	116	133824
2152	236785	119	865	3	116	101481
1036	135473	41	385	0	88	99645
1882	202925	61	567	7	139	114789
1929	215147	58	639	0	135	99052
2242	344297	75	963	1	108	67654
1220	153935	33	398	5	89	65553
1289	132943	40	410	7	156	97500
2515	174724	92	966	0	129	69112
2147	174415	100	801	0	118	82753
2352	225548	112	892	5	118	85323
1638	223632	73	513	0	125	72654
1222	124817	40	469	0	95	30727
1812	221698	45	683	0	126	77873
1677	210767	60	643	3	135	117478
1579	170266	62	535	4	154	74007
1731	260561	75	625	1	165	90183
807	84853	31	264	4	113	61542
2452	294424	77	992	2	127	101494
1940	215641	46	818	0	121	55813
2662	325107	99	937	0	136	79215
1499	167542	66	507	2	108	55461
865	106408	30	260	1	46	31081
2527	265769	146	927	2	124	83122
2747	269651	67	1269	10	115	70106
1324	149112	56	537	6	128	60578
1383	152871	58	532	5	97	79892
1179	111665	34	345	4	104	49810
2099	116408	61	918	1	59	71570
4308	362301	119	1635	2	125	100708
918	78800	42	330	2	82	33032
1831	183167	66	557	0	149	82875
3373	277965	89	1178	8	149	139077
1713	150629	44	740	3	122	71595
1438	168809	66	452	0	118	72260
496	24188	24	218	0	12	5950
2253	329267	259	764	8	144	115762
744	65029	17	255	5	67	32551
1161	101097	64	454	3	52	31701
2352	218946	41	866	1	108	80670
2144	244052	68	574	5	166	143558
2694	233328	132	825	5	107	120733
1973	256462	105	798	0	127	105195
1769	206161	71	663	12	107	73107
3148	311473	112	1069	8	146	132068
2474	235800	94	921	8	84	149193
2084	177939	82	858	8	141	46821
1954	207176	70	711	8	123	87011
1226	196553	57	503	2	111	95260
1389	174184	53	382	0	98	55183
1496	143246	103	464	5	105	106671
2269	187559	121	717	8	135	73511
1833	187681	62	690	2	107	92945
1268	119016	52	462	5	85	78664
1943	182192	52	657	12	155	70054
893	73566	32	385	6	88	22618
1762	194979	62	577	7	155	74011
1403	167488	45	619	2	104	83737
1425	143756	46	479	0	132	69094
1857	275541	63	817	4	127	93133
1840	243199	75	752	3	108	95536
1502	182999	88	430	6	129	225920
1441	135649	46	451	2	116	62133
1420	152299	53	537	0	122	61370
1416	120221	37	519	1	85	43836
2970	346485	90	1000	0	147	106117
1317	145790	63	637	5	99	38692
1644	193339	78	465	2	87	84651
870	80953	25	437	0	28	56622
1654	122774	45	711	0	90	15986
1054	130585	46	299	5	109	95364
3004	286468	144	1162	1	111	89691
2008	241066	82	714	0	158	67267
2547	148446	91	905	1	141	126846
1885	204713	71	649	1	122	41140
1626	182079	63	512	2	124	102860
1468	140344	53	472	6	93	51715
2445	220516	62	905	1	124	55801
1964	243060	63	786	4	112	111813
1381	162765	32	489	2	108	120293
1369	182613	39	479	3	99	138599
1659	232138	62	617	0	117	161647
2888	265318	117	925	10	199	115929
2845	310839	92	1144	9	91	162901
1982	225060	93	669	7	158	109825
1904	232317	54	707	0	126	129838
1391	144966	144	458	0	122	37510
602	43287	14	214	4	71	43750
1743	155754	61	599	4	75	40652
1559	164709	109	572	0	115	87771
2014	201940	38	897	0	119	85872
2143	235454	73	819	0	124	89275
874	99466	50	273	0	91	192565
1281	100750	72	407	0	119	140867
1401	224549	50	465	4	117	120662
1944	243511	71	603	0	155	101338
391	22938	10	154	0	0	1168
1605	152474	65	577	0	123	65567
530	61857	25	192	4	32	25162
1386	132487	41	411	0	136	40735
2395	317394	86	975	1	117	91413
387	21054	16	146	0	0	855
1742	209641	42	705	5	88	97068
449	31414	19	200	0	25	14116
2699	244749	95	964	2	124	76643
1606	184510	49	537	7	151	110681
1204	128423	64	369	8	145	92696
1138	97839	38	417	2	87	94785
568	38214	34	276	0	27	8773
1459	151101	32	514	2	131	83209
2158	272458	65	822	0	162	93815
1111	172494	52	389	0	165	86687
2833	328107	65	1255	3	159	105547
1955	250579	83	694	0	147	103487
2922	351067	95	1024	3	170	213688
1002	158015	29	400	0	119	71220
956	85439	33	350	0	104	56926
2186	229242	247	719	4	120	91721
3604	351619	139	1277	4	150	115168
1035	84207	29	356	11	112	111194
3261	324598	110	1402	0	136	135777
1587	131069	67	600	4	107	51513
1424	204271	42	480	0	130	74163
1701	165543	65	595	1	115	51633
1249	141722	94	436	0	107	75345
3352	299775	95	1367	9	120	98952
1641	195838	67	564	1	116	102372
2035	173260	63	716	3	79	37238
2312	254488	83	747	10	150	103772
1369	104389	45	467	5	156	123969
2201	199476	70	861	2	118	135400
1900	224330	83	612	1	144	130115
207	14688	10	85	0	0	6023
1645	181633	70	564	2	110	64466
2429	271856	103	824	1	147	54990
151	7199	5	74	0	0	1644
474	46660	20	259	0	15	6179
141	17547	5	69	0	4	3926
872	95227	34	239	0	111	34777
1318	152601	48	438	2	85	73224
1192	101645	63	371	0	44	17140
829	101011	34	238	0	52	27570
186	7176	17	70	0	0	1423
1793	96560	76	503	0	54	22996
2702	175824	107	910	0	80	39992
4691	341570	168	1276	1	80	117105
1112	103597	43	379	1	60	23789
937	112611	41	248	0	78	26706
1290	85574	34	351	0	78	24266
2146	220801	75	720	1	72	44418
1590	92661	61	508	1	45	35232
1590	133328	55	506	0	78	40909
1210	61361	77	451	0	39	13294
2072	125930	75	699	4	68	32387
834	82316	32	245	4	39	21233
1105	102010	53	370	3	50	44332
1272	101523	42	316	0	88	61056
761	41566	35	229	5	36	13497
1988	99923	66	617	0	99	32334
620	22648	19	184	0	39	44339
800	46698	45	274	0	52	10288
1684	131698	65	502	0	75	65622
1050	91735	35	382	0	71	16563
1502	79863	37	438	1	71	29011
1421	108043	62	466	1	54	34553
1060	98866	18	397	0	49	23517
1417	120445	118	457	0	59	51009
946	116048	64	230	0	75	33416
1926	250047	81	651	0	71	83305
1577	136084	30	671	0	51	27142
961	92499	32	319	0	71	21399
1254	135781	31	433	2	47	24874
1335	74408	67	434	4	28	34988
1597	81240	66	503	0	68	45549
1639	133368	36	535	1	64	32755
1018	98146	40	459	0	68	27114
1383	79619	43	426	3	40	20760
1314	59194	31	288	6	80	37636
1335	139942	42	498	0	88	65461
1403	118612	46	454	2	48	30080
910	72880	33	376	0	76	24094




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197047&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197047&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 time3 seconds
R Server'George Udny Yule' @ yule.wessa.net







Correlations for all pairs of data series (method=pearson)
pageviewstime_in_rfcloginscompendium_views_infoshared_compendiumsfeedback_messages_p1totsize
pageviews10.8710.7160.9550.1890.5810.545
time_in_rfc0.87110.6630.8650.1890.7040.668
logins0.7160.66310.6380.1750.4710.441
compendium_views_info0.9550.8650.63810.1690.5360.514
shared_compendiums0.1890.1890.1750.16910.3220.304
feedback_messages_p10.5810.7040.4710.5360.32210.67
totsize0.5450.6680.4410.5140.3040.671

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_in_rfc & logins & compendium_views_info & shared_compendiums & feedback_messages_p1 & totsize \tabularnewline
pageviews & 1 & 0.871 & 0.716 & 0.955 & 0.189 & 0.581 & 0.545 \tabularnewline
time_in_rfc & 0.871 & 1 & 0.663 & 0.865 & 0.189 & 0.704 & 0.668 \tabularnewline
logins & 0.716 & 0.663 & 1 & 0.638 & 0.175 & 0.471 & 0.441 \tabularnewline
compendium_views_info & 0.955 & 0.865 & 0.638 & 1 & 0.169 & 0.536 & 0.514 \tabularnewline
shared_compendiums & 0.189 & 0.189 & 0.175 & 0.169 & 1 & 0.322 & 0.304 \tabularnewline
feedback_messages_p1 & 0.581 & 0.704 & 0.471 & 0.536 & 0.322 & 1 & 0.67 \tabularnewline
totsize & 0.545 & 0.668 & 0.441 & 0.514 & 0.304 & 0.67 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197047&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pageviews[/C][C]time_in_rfc[/C][C]logins[/C][C]compendium_views_info[/C][C]shared_compendiums[/C][C]feedback_messages_p1[/C][C]totsize[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.871[/C][C]0.716[/C][C]0.955[/C][C]0.189[/C][C]0.581[/C][C]0.545[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.871[/C][C]1[/C][C]0.663[/C][C]0.865[/C][C]0.189[/C][C]0.704[/C][C]0.668[/C][/ROW]
[ROW][C]logins[/C][C]0.716[/C][C]0.663[/C][C]1[/C][C]0.638[/C][C]0.175[/C][C]0.471[/C][C]0.441[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.955[/C][C]0.865[/C][C]0.638[/C][C]1[/C][C]0.169[/C][C]0.536[/C][C]0.514[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.189[/C][C]0.189[/C][C]0.175[/C][C]0.169[/C][C]1[/C][C]0.322[/C][C]0.304[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.581[/C][C]0.704[/C][C]0.471[/C][C]0.536[/C][C]0.322[/C][C]1[/C][C]0.67[/C][/ROW]
[ROW][C]totsize[/C][C]0.545[/C][C]0.668[/C][C]0.441[/C][C]0.514[/C][C]0.304[/C][C]0.67[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197047&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)
pageviewstime_in_rfcloginscompendium_views_infoshared_compendiumsfeedback_messages_p1totsize
pageviews10.8710.7160.9550.1890.5810.545
time_in_rfc0.87110.6630.8650.1890.7040.668
logins0.7160.66310.6380.1750.4710.441
compendium_views_info0.9550.8650.63810.1690.5360.514
shared_compendiums0.1890.1890.1750.16910.3220.304
feedback_messages_p10.5810.7040.4710.5360.32210.67
totsize0.5450.6680.4410.5140.3040.671







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;time_in_rfc0.87110.86510.6936
p-value(0)(0)(0)
pageviews;logins0.71560.79390.6157
p-value(0)(0)(0)
pageviews;compendium_views_info0.95510.96130.8365
p-value(0)(0)(0)
pageviews;shared_compendiums0.18930.20270.1465
p-value(0.0077)(0.0043)(0.0046)
pageviews;feedback_messages_p10.58130.5990.432
p-value(0)(0)(0)
pageviews;totsize0.5450.58660.4237
p-value(0)(0)(0)
time_in_rfc;logins0.66310.72040.5413
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.86470.85620.6769
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.18940.21890.1597
p-value(0.0077)(0.002)(0.002)
time_in_rfc;feedback_messages_p10.70420.71820.5325
p-value(0)(0)(0)
time_in_rfc;totsize0.66830.7260.5476
p-value(0)(0)(0)
logins;compendium_views_info0.63820.7350.5546
p-value(0)(0)(0)
logins;shared_compendiums0.17550.17130.1242
p-value(0.0137)(0.0161)(0.0169)
logins;feedback_messages_p10.4710.52650.3737
p-value(0)(0)(0)
logins;totsize0.44060.52770.3709
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.1690.19850.1445
p-value(0.0176)(0.0052)(0.0052)
compendium_views_info;feedback_messages_p10.53560.57220.4054
p-value(0)(0)(0)
compendium_views_info;totsize0.51390.57270.4113
p-value(0)(0)(0)
shared_compendiums;feedback_messages_p10.32180.25850.1864
p-value(0)(2e-04)(3e-04)
shared_compendiums;totsize0.30430.33790.2503
p-value(0)(0)(0)
feedback_messages_p1;totsize0.67020.68590.5009
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
pageviews;time_in_rfc & 0.8711 & 0.8651 & 0.6936 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7156 & 0.7939 & 0.6157 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_info & 0.9551 & 0.9613 & 0.8365 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;shared_compendiums & 0.1893 & 0.2027 & 0.1465 \tabularnewline
p-value & (0.0077) & (0.0043) & (0.0046) \tabularnewline
pageviews;feedback_messages_p1 & 0.5813 & 0.599 & 0.432 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;totsize & 0.545 & 0.5866 & 0.4237 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;logins & 0.6631 & 0.7204 & 0.5413 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8647 & 0.8562 & 0.6769 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;shared_compendiums & 0.1894 & 0.2189 & 0.1597 \tabularnewline
p-value & (0.0077) & (0.002) & (0.002) \tabularnewline
time_in_rfc;feedback_messages_p1 & 0.7042 & 0.7182 & 0.5325 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totsize & 0.6683 & 0.726 & 0.5476 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6382 & 0.735 & 0.5546 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.1755 & 0.1713 & 0.1242 \tabularnewline
p-value & (0.0137) & (0.0161) & (0.0169) \tabularnewline
logins;feedback_messages_p1 & 0.471 & 0.5265 & 0.3737 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize & 0.4406 & 0.5277 & 0.3709 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.169 & 0.1985 & 0.1445 \tabularnewline
p-value & (0.0176) & (0.0052) & (0.0052) \tabularnewline
compendium_views_info;feedback_messages_p1 & 0.5356 & 0.5722 & 0.4054 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;totsize & 0.5139 & 0.5727 & 0.4113 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;feedback_messages_p1 & 0.3218 & 0.2585 & 0.1864 \tabularnewline
p-value & (0) & (2e-04) & (3e-04) \tabularnewline
shared_compendiums;totsize & 0.3043 & 0.3379 & 0.2503 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;totsize & 0.6702 & 0.6859 & 0.5009 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197047&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]pageviews;time_in_rfc[/C][C]0.8711[/C][C]0.8651[/C][C]0.6936[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7156[/C][C]0.7939[/C][C]0.6157[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_info[/C][C]0.9551[/C][C]0.9613[/C][C]0.8365[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;shared_compendiums[/C][C]0.1893[/C][C]0.2027[/C][C]0.1465[/C][/ROW]
[ROW][C]p-value[/C][C](0.0077)[/C][C](0.0043)[/C][C](0.0046)[/C][/ROW]
[ROW][C]pageviews;feedback_messages_p1[/C][C]0.5813[/C][C]0.599[/C][C]0.432[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;totsize[/C][C]0.545[/C][C]0.5866[/C][C]0.4237[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;logins[/C][C]0.6631[/C][C]0.7204[/C][C]0.5413[/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]0.8647[/C][C]0.8562[/C][C]0.6769[/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]0.1894[/C][C]0.2189[/C][C]0.1597[/C][/ROW]
[ROW][C]p-value[/C][C](0.0077)[/C][C](0.002)[/C][C](0.002)[/C][/ROW]
[ROW][C]time_in_rfc;feedback_messages_p1[/C][C]0.7042[/C][C]0.7182[/C][C]0.5325[/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]0.6683[/C][C]0.726[/C][C]0.5476[/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]0.6382[/C][C]0.735[/C][C]0.5546[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]0.1755[/C][C]0.1713[/C][C]0.1242[/C][/ROW]
[ROW][C]p-value[/C][C](0.0137)[/C][C](0.0161)[/C][C](0.0169)[/C][/ROW]
[ROW][C]logins;feedback_messages_p1[/C][C]0.471[/C][C]0.5265[/C][C]0.3737[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totsize[/C][C]0.4406[/C][C]0.5277[/C][C]0.3709[/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]0.169[/C][C]0.1985[/C][C]0.1445[/C][/ROW]
[ROW][C]p-value[/C][C](0.0176)[/C][C](0.0052)[/C][C](0.0052)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p1[/C][C]0.5356[/C][C]0.5722[/C][C]0.4054[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;totsize[/C][C]0.5139[/C][C]0.5727[/C][C]0.4113[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;feedback_messages_p1[/C][C]0.3218[/C][C]0.2585[/C][C]0.1864[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]shared_compendiums;totsize[/C][C]0.3043[/C][C]0.3379[/C][C]0.2503[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;totsize[/C][C]0.6702[/C][C]0.6859[/C][C]0.5009[/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=197047&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197047&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
pageviews;time_in_rfc0.87110.86510.6936
p-value(0)(0)(0)
pageviews;logins0.71560.79390.6157
p-value(0)(0)(0)
pageviews;compendium_views_info0.95510.96130.8365
p-value(0)(0)(0)
pageviews;shared_compendiums0.18930.20270.1465
p-value(0.0077)(0.0043)(0.0046)
pageviews;feedback_messages_p10.58130.5990.432
p-value(0)(0)(0)
pageviews;totsize0.5450.58660.4237
p-value(0)(0)(0)
time_in_rfc;logins0.66310.72040.5413
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.86470.85620.6769
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.18940.21890.1597
p-value(0.0077)(0.002)(0.002)
time_in_rfc;feedback_messages_p10.70420.71820.5325
p-value(0)(0)(0)
time_in_rfc;totsize0.66830.7260.5476
p-value(0)(0)(0)
logins;compendium_views_info0.63820.7350.5546
p-value(0)(0)(0)
logins;shared_compendiums0.17550.17130.1242
p-value(0.0137)(0.0161)(0.0169)
logins;feedback_messages_p10.4710.52650.3737
p-value(0)(0)(0)
logins;totsize0.44060.52770.3709
p-value(0)(0)(0)
compendium_views_info;shared_compendiums0.1690.19850.1445
p-value(0.0176)(0.0052)(0.0052)
compendium_views_info;feedback_messages_p10.53560.57220.4054
p-value(0)(0)(0)
compendium_views_info;totsize0.51390.57270.4113
p-value(0)(0)(0)
shared_compendiums;feedback_messages_p10.32180.25850.1864
p-value(0)(2e-04)(3e-04)
shared_compendiums;totsize0.30430.33790.2503
p-value(0)(0)(0)
feedback_messages_p1;totsize0.67020.68590.5009
p-value(0)(0)(0)



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')