Free Statistics

of Irreproducible Research!

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 computationTue, 11 Dec 2012 12:04:32 -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/11/t1355245502ubunhob4lonzan4.htm/, Retrieved Fri, 19 Apr 2024 13:13:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198584, Retrieved Fri, 19 Apr 2024 13:13:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
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] [workshop 10] [2012-12-11 17:04:32] [468d5fc6f63a6d6dca168804c24af07d] [Current]
Feedback Forum

Post a new message
Dataseries X:
1418	210907	56	3	79	30	112285
869	120982	56	4	58	28	84786
1530	176508	54	12	60	38	83123
2172	179321	89	2	108	30	101193
901	123185	40	1	49	22	38361
463	52746	25	3	0	26	68504
3201	385534	92	0	121	25	119182
371	33170	18	0	1	18	22807
1192	101645	63	0	20	11	17140
1583	149061	44	5	43	26	116174
1439	165446	33	0	69	25	57635
1764	237213	84	0	78	38	66198
1495	173326	88	7	86	44	71701
1373	133131	55	7	44	30	57793
2187	258873	60	3	104	40	80444
1491	180083	66	9	63	34	53855
4041	324799	154	0	158	47	97668
1706	230964	53	4	102	30	133824
2152	236785	119	3	77	31	101481
1036	135473	41	0	82	23	99645
1882	202925	61	7	115	36	114789
1929	215147	58	0	101	36	99052
2242	344297	75	1	80	30	67654
1220	153935	33	5	50	25	65553
1289	132943	40	7	83	39	97500
2515	174724	92	0	123	34	69112
2147	174415	100	0	73	31	82753
2352	225548	112	5	81	31	85323
1638	223632	73	0	105	33	72654
1222	124817	40	0	47	25	30727
1812	221698	45	0	105	33	77873
1677	210767	60	3	94	35	117478
1579	170266	62	4	44	42	74007
1731	260561	75	1	114	43	90183
807	84853	31	4	38	30	61542
2452	294424	77	2	107	33	101494
829	101011	34	0	30	13	27570
1940	215641	46	0	71	32	55813
2662	325107	99	0	84	36	79215
186	7176	17	0	0	0	1423
1499	167542	66	2	59	28	55461
865	106408	30	1	33	14	31081
1793	96560	76	0	42	17	22996
2527	265769	146	2	96	32	83122
2747	269651	67	10	106	30	70106
1324	149112	56	6	56	35	60578
2702	175824	107	0	57	20	39992
1383	152871	58	5	59	28	79892
1179	111665	34	4	39	28	49810
2099	116408	61	1	34	39	71570
4308	362301	119	2	76	34	100708
918	78800	42	2	20	26	33032
1831	183167	66	0	91	39	82875
3373	277965	89	8	115	39	139077
1713	150629	44	3	85	33	71595
1438	168809	66	0	76	28	72260
496	24188	24	0	8	4	5950
2253	329267	259	8	79	39	115762
744	65029	17	5	21	18	32551
1161	101097	64	3	30	14	31701
2352	218946	41	1	76	29	80670
2144	244052	68	5	101	44	143558
4691	341570	168	1	94	21	117105
1112	103597	43	1	27	16	23789
2694	233328	132	5	92	28	120733
1973	256462	105	0	123	35	105195
1769	206161	71	12	75	28	73107
3148	311473	112	8	128	38	132068
2474	235800	94	8	105	23	149193
2084	177939	82	8	55	36	46821
1954	207176	70	8	56	32	87011
1226	196553	57	2	41	29	95260
1389	174184	53	0	72	25	55183
1496	143246	103	5	67	27	106671
2269	187559	121	8	75	36	73511
1833	187681	62	2	114	28	92945
1268	119016	52	5	118	23	78664
1943	182192	52	12	77	40	70054
893	73566	32	6	22	23	22618
1762	194979	62	7	66	40	74011
1403	167488	45	2	69	28	83737
1425	143756	46	0	105	34	69094
1857	275541	63	4	116	33	93133
1840	243199	75	3	88	28	95536
1502	182999	88	6	73	34	225920
1441	135649	46	2	99	30	62133
1420	152299	53	0	62	33	61370
1416	120221	37	1	53	22	43836
2970	346485	90	0	118	38	106117
1317	145790	63	5	30	26	38692
1644	193339	78	2	100	35	84651
870	80953	25	0	49	8	56622
1654	122774	45	0	24	24	15986
1054	130585	46	5	67	29	95364
937	112611	41	0	46	20	26706
3004	286468	144	1	57	29	89691
2008	241066	82	0	75	45	67267
2547	148446	91	1	135	37	126846
1885	204713	71	1	68	33	41140
1626	182079	63	2	124	33	102860
1468	140344	53	6	33	25	51715
2445	220516	62	1	98	32	55801
1964	243060	63	4	58	29	111813
1381	162765	32	2	68	28	120293
1369	182613	39	3	81	28	138599
1659	232138	62	0	131	31	161647
2888	265318	117	10	110	52	115929
1290	85574	34	0	37	21	24266
2845	310839	92	9	130	24	162901
1982	225060	93	7	93	41	109825
1904	232317	54	0	118	33	129838
1391	144966	144	0	39	32	37510
602	43287	14	4	13	19	43750
1743	155754	61	4	74	20	40652
1559	164709	109	0	81	31	87771
2014	201940	38	0	109	31	85872
2143	235454	73	0	151	32	89275
2146	220801	75	1	51	18	44418
874	99466	50	0	28	23	192565
1590	92661	61	1	40	17	35232
1590	133328	55	0	56	20	40909
1210	61361	77	0	27	12	13294
2072	125930	75	4	37	17	32387
1281	100750	72	0	83	30	140867
1401	224549	50	4	54	31	120662
834	82316	32	4	27	10	21233
1105	102010	53	3	28	13	44332
1272	101523	42	0	59	22	61056
1944	243511	71	0	133	42	101338
391	22938	10	0	12	1	1168
761	41566	35	5	0	9	13497
1605	152474	65	0	106	32	65567
530	61857	25	4	23	11	25162
1988	99923	66	0	44	25	32334
1386	132487	41	0	71	36	40735
2395	317394	86	1	116	31	91413
387	21054	16	0	4	0	855
1742	209641	42	5	62	24	97068
620	22648	19	0	12	13	44339
449	31414	19	0	18	8	14116
800	46698	45	0	14	13	10288
1684	131698	65	0	60	19	65622
1050	91735	35	0	7	18	16563
2699	244749	95	2	98	33	76643
1606	184510	49	7	64	40	110681
1502	79863	37	1	29	22	29011
1204	128423	64	8	32	38	92696
1138	97839	38	2	25	24	94785
568	38214	34	0	16	8	8773
1459	151101	32	2	48	35	83209
2158	272458	65	0	100	43	93815
1111	172494	52	0	46	43	86687
1421	108043	62	1	45	14	34553
2833	328107	65	3	129	41	105547
1955	250579	83	0	130	38	103487
2922	351067	95	3	136	45	213688
1002	158015	29	0	59	31	71220
1060	98866	18	0	25	13	23517
956	85439	33	0	32	28	56926
2186	229242	247	4	63	31	91721
3604	351619	139	4	95	40	115168
1035	84207	29	11	14	30	111194
1417	120445	118	0	36	16	51009
3261	324598	110	0	113	37	135777
1587	131069	67	4	47	30	51513
1424	204271	42	0	92	35	74163
1701	165543	65	1	70	32	51633
1249	141722	94	0	19	27	75345
946	116048	64	0	50	20	33416
1926	250047	81	0	41	18	83305
3352	299775	95	9	91	31	98952
1641	195838	67	1	111	31	102372
2035	173260	63	3	41	21	37238
2312	254488	83	10	120	39	103772
1369	104389	45	5	135	41	123969
1577	136084	30	0	27	13	27142
2201	199476	70	2	87	32	135400
961	92499	32	0	25	18	21399
1900	224330	83	1	131	39	130115
1254	135781	31	2	45	14	24874
1335	74408	67	4	29	7	34988
1597	81240	66	0	58	17	45549
207	14688	10	0	4	0	6023
1645	181633	70	2	47	30	64466
2429	271856	103	1	109	37	54990
151	7199	5	0	7	0	1644
474	46660	20	0	12	5	6179
141	17547	5	0	0	1	3926
1639	133368	36	1	37	16	32755
872	95227	34	0	37	32	34777
1318	152601	48	2	46	24	73224
1018	98146	40	0	15	17	27114
1383	79619	43	3	42	11	20760
1314	59194	31	6	7	24	37636
1335	139942	42	0	54	22	65461
1403	118612	46	2	54	12	30080
910	72880	33	0	14	19	24094
616	65475	18	2	16	13	69008
1407	99643	55	1	33	17	54968
771	71965	35	1	32	15	46090
766	77272	59	2	21	16	27507
473	49289	19	1	15	24	10672
1376	135131	66	0	38	15	34029
1232	108446	60	1	22	17	46300
1521	89746	36	3	28	18	24760
572	44296	25	0	10	20	18779
1059	77648	47	0	31	16	21280
1544	181528	54	0	32	16	40662
1230	134019	53	0	32	18	28987
1206	124064	40	1	43	22	22827
1205	92630	40	4	27	8	18513
1255	121848	39	0	37	17	30594
613	52915	14	0	20	18	24006
721	81872	45	0	32	16	27913
1109	58981	36	7	0	23	42744
740	53515	28	2	5	22	12934
1126	60812	44	0	26	13	22574
728	56375	30	7	10	13	41385
689	65490	22	3	27	16	18653
592	80949	17	0	11	16	18472
995	76302	31	0	29	20	30976
1613	104011	55	6	25	22	63339
2048	98104	54	2	55	17	25568
705	67989	21	0	23	18	33747
301	30989	14	0	5	17	4154
1803	135458	81	3	43	12	19474
799	73504	35	0	23	7	35130
861	63123	43	1	34	17	39067
1186	61254	46	1	36	14	13310
1451	74914	30	0	35	23	65892
628	31774	23	1	0	17	4143
1161	81437	38	0	37	14	28579
1463	87186	54	0	28	15	51776
742	50090	20	0	16	17	21152
979	65745	53	0	26	21	38084
675	56653	45	0	38	18	27717
1241	158399	39	0	23	18	32928
676	46455	20	0	22	17	11342
1049	73624	24	0	30	17	19499
620	38395	31	0	16	16	16380
1081	91899	35	0	18	15	36874
1688	139526	151	0	28	21	48259
736	52164	52	0	32	16	16734
617	51567	30	2	21	14	28207
812	70551	31	0	23	15	30143
1051	84856	29	1	29	17	41369
1656	102538	57	1	50	15	45833
705	86678	40	0	12	15	29156
945	85709	44	0	21	10	35944
554	34662	25	0	18	6	36278
1597	150580	77	0	27	22	45588
982	99611	35	0	41	21	45097
222	19349	11	0	13	1	3895
1212	99373	63	1	12	18	28394
1143	86230	44	0	21	17	18632
435	30837	19	0	8	4	2325
532	31706	13	0	26	10	25139
882	89806	42	0	27	16	27975
608	62088	38	1	13	16	14483
459	40151	29	0	16	9	13127
578	27634	20	0	2	16	5839
826	76990	27	0	42	17	24069
509	37460	20	0	5	7	3738
717	54157	19	0	37	15	18625
637	49862	37	0	17	14	36341
857	84337	26	0	38	14	24548
830	64175	42	0	37	18	21792
652	59382	49	0	29	12	26263
707	119308	30	0	32	16	23686
954	76702	49	0	35	21	49303
1461	103425	67	1	17	19	25659
672	70344	28	0	20	16	28904
778	43410	19	0	7	1	2781
1141	104838	49	1	46	16	29236
680	62215	27	0	24	10	19546
1090	69304	30	6	40	19	22818
616	53117	22	3	3	12	32689
285	19764	12	1	10	2	5752
1145	86680	31	2	37	14	22197
733	84105	20	0	17	17	20055
888	77945	20	0	28	19	25272
849	89113	39	0	19	14	82206
1182	91005	29	3	29	11	32073
528	40248	16	1	8	4	5444
642	64187	27	0	10	16	20154
947	50857	21	0	15	20	36944
819	56613	19	1	15	12	8019
757	62792	35	0	28	15	30884
894	72535	14	0	17	16	19540




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198584&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]4 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=198584&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198584&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 time4 seconds
R Server'George Udny Yule' @ yule.wessa.net







Correlations for all pairs of data series (method=pearson)
pageviewstime_in_rfcloginsshared_compendiumsblogged_computationscompendiums_reviewedtotsize
pageviews10.8930.7590.2970.7610.6650.644
time_in_rfc0.89310.7160.2940.8310.7580.746
logins0.7590.71610.250.5660.5490.536
shared_compendiums0.2970.2940.2510.2380.3890.386
blogged_computations0.7610.8310.5660.23810.7620.76
compendiums_reviewed0.6650.7580.5490.3890.76210.734
totsize0.6440.7460.5360.3860.760.7341

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pageviews & time_in_rfc & logins & shared_compendiums & blogged_computations & compendiums_reviewed & totsize \tabularnewline
pageviews & 1 & 0.893 & 0.759 & 0.297 & 0.761 & 0.665 & 0.644 \tabularnewline
time_in_rfc & 0.893 & 1 & 0.716 & 0.294 & 0.831 & 0.758 & 0.746 \tabularnewline
logins & 0.759 & 0.716 & 1 & 0.25 & 0.566 & 0.549 & 0.536 \tabularnewline
shared_compendiums & 0.297 & 0.294 & 0.25 & 1 & 0.238 & 0.389 & 0.386 \tabularnewline
blogged_computations & 0.761 & 0.831 & 0.566 & 0.238 & 1 & 0.762 & 0.76 \tabularnewline
compendiums_reviewed & 0.665 & 0.758 & 0.549 & 0.389 & 0.762 & 1 & 0.734 \tabularnewline
totsize & 0.644 & 0.746 & 0.536 & 0.386 & 0.76 & 0.734 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198584&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]shared_compendiums[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]totsize[/C][/ROW]
[ROW][C]pageviews[/C][C]1[/C][C]0.893[/C][C]0.759[/C][C]0.297[/C][C]0.761[/C][C]0.665[/C][C]0.644[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.893[/C][C]1[/C][C]0.716[/C][C]0.294[/C][C]0.831[/C][C]0.758[/C][C]0.746[/C][/ROW]
[ROW][C]logins[/C][C]0.759[/C][C]0.716[/C][C]1[/C][C]0.25[/C][C]0.566[/C][C]0.549[/C][C]0.536[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.297[/C][C]0.294[/C][C]0.25[/C][C]1[/C][C]0.238[/C][C]0.389[/C][C]0.386[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.761[/C][C]0.831[/C][C]0.566[/C][C]0.238[/C][C]1[/C][C]0.762[/C][C]0.76[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.665[/C][C]0.758[/C][C]0.549[/C][C]0.389[/C][C]0.762[/C][C]1[/C][C]0.734[/C][/ROW]
[ROW][C]totsize[/C][C]0.644[/C][C]0.746[/C][C]0.536[/C][C]0.386[/C][C]0.76[/C][C]0.734[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198584&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198584&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_rfcloginsshared_compendiumsblogged_computationscompendiums_reviewedtotsize
pageviews10.8930.7590.2970.7610.6650.644
time_in_rfc0.89310.7160.2940.8310.7580.746
logins0.7590.71610.250.5660.5490.536
shared_compendiums0.2970.2940.2510.2380.3890.386
blogged_computations0.7610.8310.5660.23810.7620.76
compendiums_reviewed0.6650.7580.5490.3890.76210.734
totsize0.6440.7460.5360.3860.760.7341







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pageviews;time_in_rfc0.89280.90250.7387
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
p-value(0)(0)(0)
pageviews;shared_compendiums0.29720.3410.2511
p-value(0)(0)(0)
pageviews;blogged_computations0.76060.82490.6272
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;totsize0.64390.72120.5315
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;totsize0.74620.81180.6171
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendiums_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;totsize0.53640.65880.4742
p-value(0)(0)(0)
shared_compendiums;blogged_computations0.2380.27590.2074
p-value(0)(0)(0)
shared_compendiums;compendiums_reviewed0.38950.35110.2616
p-value(0)(0)(0)
shared_compendiums;totsize0.38610.40320.3007
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;totsize0.76050.79620.6059
p-value(0)(0)(0)
compendiums_reviewed;totsize0.73450.78990.5825
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 & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7588 & 0.845 & 0.6609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;shared_compendiums & 0.2972 & 0.341 & 0.2511 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;blogged_computations & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendiums_reviewed & 0.6652 & 0.7185 & 0.5273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;totsize & 0.6439 & 0.7212 & 0.5315 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;shared_compendiums & 0.2941 & 0.3296 & 0.2453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;blogged_computations & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totsize & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;shared_compendiums & 0.2505 & 0.2795 & 0.2078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize & 0.5364 & 0.6588 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;blogged_computations & 0.238 & 0.2759 & 0.2074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;compendiums_reviewed & 0.3895 & 0.3511 & 0.2616 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
shared_compendiums;totsize & 0.3861 & 0.4032 & 0.3007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendiums_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totsize & 0.7605 & 0.7962 & 0.6059 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totsize & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198584&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]0.8928[/C][C]0.9025[/C][C]0.7387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7588[/C][C]0.845[/C][C]0.6609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;shared_compendiums[/C][C]0.2972[/C][C]0.341[/C][C]0.2511[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.7606[/C][C]0.8249[/C][C]0.6272[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendiums_reviewed[/C][C]0.6652[/C][C]0.7185[/C][C]0.5273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;totsize[/C][C]0.6439[/C][C]0.7212[/C][C]0.5315[/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]0.716[/C][C]0.7982[/C][C]0.609[/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]0.2941[/C][C]0.3296[/C][C]0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_computations[/C][C]0.8309[/C][C]0.8717[/C][C]0.683[/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]0.758[/C][C]0.7892[/C][C]0.5899[/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]0.7462[/C][C]0.8118[/C][C]0.6171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;shared_compendiums[/C][C]0.2505[/C][C]0.2795[/C][C]0.2078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.5661[/C][C]0.7178[/C][C]0.523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totsize[/C][C]0.5364[/C][C]0.6588[/C][C]0.4742[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;blogged_computations[/C][C]0.238[/C][C]0.2759[/C][C]0.2074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;compendiums_reviewed[/C][C]0.3895[/C][C]0.3511[/C][C]0.2616[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]shared_compendiums;totsize[/C][C]0.3861[/C][C]0.4032[/C][C]0.3007[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendiums_reviewed[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totsize[/C][C]0.7605[/C][C]0.7962[/C][C]0.6059[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totsize[/C][C]0.7345[/C][C]0.7899[/C][C]0.5825[/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=198584&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198584&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_rfc0.89280.90250.7387
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
p-value(0)(0)(0)
pageviews;shared_compendiums0.29720.3410.2511
p-value(0)(0)(0)
pageviews;blogged_computations0.76060.82490.6272
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.66520.71850.5273
p-value(0)(0)(0)
pageviews;totsize0.64390.72120.5315
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;shared_compendiums0.29410.32960.2453
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.7580.78920.5899
p-value(0)(0)(0)
time_in_rfc;totsize0.74620.81180.6171
p-value(0)(0)(0)
logins;shared_compendiums0.25050.27950.2078
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;compendiums_reviewed0.54880.62840.4525
p-value(0)(0)(0)
logins;totsize0.53640.65880.4742
p-value(0)(0)(0)
shared_compendiums;blogged_computations0.2380.27590.2074
p-value(0)(0)(0)
shared_compendiums;compendiums_reviewed0.38950.35110.2616
p-value(0)(0)(0)
shared_compendiums;totsize0.38610.40320.3007
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.76230.77220.574
p-value(0)(0)(0)
blogged_computations;totsize0.76050.79620.6059
p-value(0)(0)(0)
compendiums_reviewed;totsize0.73450.78990.5825
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')