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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSun, 08 Dec 2013 15:29:25 -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/2013/Dec/08/t1386534596fk8bl0srcncpncp.htm/, Retrieved Fri, 29 Mar 2024 04:59:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231514, Retrieved Fri, 29 Mar 2024 04:59:20 +0000
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Original text written by user:
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Estimated Impact76
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2011-12-15 18:26:02] [0cacbd6f25ea662f229a505efea21410]
- R       [Kendall tau Correlation Matrix] [Ws 10 - Hall of fame] [2013-12-08 20:29:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
210907	1418	56	79	30	112285	144
120982	869	56	58	28	84786	103
176508	1530	54	60	38	83123	98
179321	2172	89	108	30	101193	135
123185	901	40	49	22	38361	61
52746	463	25	0	26	68504	39
385534	3201	92	121	25	119182	150
33170	371	18	1	18	22807	5
101645	1192	63	20	11	17140	28
149061	1583	44	43	26	116174	84
165446	1439	33	69	25	57635	80
237213	1764	84	78	38	66198	130
173326	1495	88	86	44	71701	82
133131	1373	55	44	30	57793	60
258873	2187	60	104	40	80444	131
180083	1491	66	63	34	53855	84
324799	4041	154	158	47	97668	140
230964	1706	53	102	30	133824	151
236785	2152	119	77	31	101481	91
135473	1036	41	82	23	99645	138
202925	1882	61	115	36	114789	150
215147	1929	58	101	36	99052	124
344297	2242	75	80	30	67654	119
153935	1220	33	50	25	65553	73
132943	1289	40	83	39	97500	110
174724	2515	92	123	34	69112	123
174415	2147	100	73	31	82753	90
225548	2352	112	81	31	85323	116
223632	1638	73	105	33	72654	113
124817	1222	40	47	25	30727	56
221698	1812	45	105	33	77873	115
210767	1677	60	94	35	117478	119
170266	1579	62	44	42	74007	129
260561	1731	75	114	43	90183	127
84853	807	31	38	30	61542	27
294424	2452	77	107	33	101494	175
101011	829	34	30	13	27570	35
215641	1940	46	71	32	55813	64
325107	2662	99	84	36	79215	96
7176	186	17	0	0	1423	0
167542	1499	66	59	28	55461	84
106408	865	30	33	14	31081	41
96560	1793	76	42	17	22996	47
265769	2527	146	96	32	83122	126
269651	2747	67	106	30	70106	105
149112	1324	56	56	35	60578	80
175824	2702	107	57	20	39992	70
152871	1383	58	59	28	79892	73
111665	1179	34	39	28	49810	57
116408	2099	61	34	39	71570	40
362301	4308	119	76	34	100708	68
78800	918	42	20	26	33032	21
183167	1831	66	91	39	82875	127
277965	3373	89	115	39	139077	154
150629	1713	44	85	33	71595	116
168809	1438	66	76	28	72260	102
24188	496	24	8	4	5950	7
329267	2253	259	79	39	115762	148
65029	744	17	21	18	32551	21
101097	1161	64	30	14	31701	35
218946	2352	41	76	29	80670	112
244052	2144	68	101	44	143558	137
341570	4691	168	94	21	117105	135
103597	1112	43	27	16	23789	26
233328	2694	132	92	28	120733	230
256462	1973	105	123	35	105195	181
206161	1769	71	75	28	73107	71
311473	3148	112	128	38	132068	147
235800	2474	94	105	23	149193	190
177939	2084	82	55	36	46821	64
207176	1954	70	56	32	87011	105
196553	1226	57	41	29	95260	107
174184	1389	53	72	25	55183	94
143246	1496	103	67	27	106671	116
187559	2269	121	75	36	73511	106
187681	1833	62	114	28	92945	143
119016	1268	52	118	23	78664	81
182192	1943	52	77	40	70054	89
73566	893	32	22	23	22618	26
194979	1762	62	66	40	74011	84
167488	1403	45	69	28	83737	113
143756	1425	46	105	34	69094	120
275541	1857	63	116	33	93133	110
243199	1840	75	88	28	95536	134
182999	1502	88	73	34	225920	54
135649	1441	46	99	30	62133	96
152299	1420	53	62	33	61370	78
120221	1416	37	53	22	43836	51
346485	2970	90	118	38	106117	121
145790	1317	63	30	26	38692	38
193339	1644	78	100	35	84651	145
80953	870	25	49	8	56622	59
122774	1654	45	24	24	15986	27
130585	1054	46	67	29	95364	91
112611	937	41	46	20	26706	48
286468	3004	144	57	29	89691	68
241066	2008	82	75	45	67267	58
148446	2547	91	135	37	126846	150
204713	1885	71	68	33	41140	74
182079	1626	63	124	33	102860	181
140344	1468	53	33	25	51715	65
220516	2445	62	98	32	55801	97
243060	1964	63	58	29	111813	121
162765	1381	32	68	28	120293	99
182613	1369	39	81	28	138599	152
232138	1659	62	131	31	161647	188
265318	2888	117	110	52	115929	138
85574	1290	34	37	21	24266	40
310839	2845	92	130	24	162901	254
225060	1982	93	93	41	109825	87
232317	1904	54	118	33	129838	178
144966	1391	144	39	32	37510	51
43287	602	14	13	19	43750	49
155754	1743	61	74	20	40652	73
164709	1559	109	81	31	87771	176
201940	2014	38	109	31	85872	94
235454	2143	73	151	32	89275	120
220801	2146	75	51	18	44418	66
99466	874	50	28	23	192565	56
92661	1590	61	40	17	35232	39
133328	1590	55	56	20	40909	66
61361	1210	77	27	12	13294	27
125930	2072	75	37	17	32387	65
100750	1281	72	83	30	140867	58
224549	1401	50	54	31	120662	98
82316	834	32	27	10	21233	25
102010	1105	53	28	13	44332	26
101523	1272	42	59	22	61056	77
243511	1944	71	133	42	101338	130
22938	391	10	12	1	1168	11
41566	761	35	0	9	13497	2
152474	1605	65	106	32	65567	101
61857	530	25	23	11	25162	31
99923	1988	66	44	25	32334	36
132487	1386	41	71	36	40735	120
317394	2395	86	116	31	91413	195
21054	387	16	4	0	855	4
209641	1742	42	62	24	97068	89
22648	620	19	12	13	44339	24
31414	449	19	18	8	14116	39
46698	800	45	14	13	10288	14
131698	1684	65	60	19	65622	78
91735	1050	35	7	18	16563	15
244749	2699	95	98	33	76643	106
184510	1606	49	64	40	110681	83
79863	1502	37	29	22	29011	24
128423	1204	64	32	38	92696	37
97839	1138	38	25	24	94785	77
38214	568	34	16	8	8773	16
151101	1459	32	48	35	83209	56
272458	2158	65	100	43	93815	132
172494	1111	52	46	43	86687	144
108043	1421	62	45	14	34553	40
328107	2833	65	129	41	105547	153
250579	1955	83	130	38	103487	143
351067	2922	95	136	45	213688	220
158015	1002	29	59	31	71220	79
98866	1060	18	25	13	23517	50
85439	956	33	32	28	56926	39
229242	2186	247	63	31	91721	95
351619	3604	139	95	40	115168	169
84207	1035	29	14	30	111194	12
120445	1417	118	36	16	51009	63
324598	3261	110	113	37	135777	134
131069	1587	67	47	30	51513	69
204271	1424	42	92	35	74163	119
165543	1701	65	70	32	51633	119
141722	1249	94	19	27	75345	75
116048	946	64	50	20	33416	63
250047	1926	81	41	18	83305	55
299775	3352	95	91	31	98952	103
195838	1641	67	111	31	102372	197
173260	2035	63	41	21	37238	16
254488	2312	83	120	39	103772	140
104389	1369	45	135	41	123969	89
136084	1577	30	27	13	27142	40
199476	2201	70	87	32	135400	125
92499	961	32	25	18	21399	21
224330	1900	83	131	39	130115	167
135781	1254	31	45	14	24874	32
74408	1335	67	29	7	34988	36
81240	1597	66	58	17	45549	13
14688	207	10	4	0	6023	5
181633	1645	70	47	30	64466	96
271856	2429	103	109	37	54990	151
7199	151	5	7	0	1644	6
46660	474	20	12	5	6179	13
17547	141	5	0	1	3926	3
133368	1639	36	37	16	32755	57
95227	872	34	37	32	34777	23
152601	1318	48	46	24	73224	61
98146	1018	40	15	17	27114	21
79619	1383	43	42	11	20760	43
59194	1314	31	7	24	37636	20
139942	1335	42	54	22	65461	82
118612	1403	46	54	12	30080	90
72880	910	33	14	19	24094	25
65475	616	18	16	13	69008	60
99643	1407	55	33	17	54968	61
71965	771	35	32	15	46090	85
77272	766	59	21	16	27507	43
49289	473	19	15	24	10672	25
135131	1376	66	38	15	34029	41
108446	1232	60	22	17	46300	26
89746	1521	36	28	18	24760	38
44296	572	25	10	20	18779	12
77648	1059	47	31	16	21280	29
181528	1544	54	32	16	40662	49
134019	1230	53	32	18	28987	46
124064	1206	40	43	22	22827	41
92630	1205	40	27	8	18513	31
121848	1255	39	37	17	30594	41
52915	613	14	20	18	24006	26
81872	721	45	32	16	27913	23
58981	1109	36	0	23	42744	14
53515	740	28	5	22	12934	16
60812	1126	44	26	13	22574	25
56375	728	30	10	13	41385	21
65490	689	22	27	16	18653	32
80949	592	17	11	16	18472	9
76302	995	31	29	20	30976	35
104011	1613	55	25	22	63339	42
98104	2048	54	55	17	25568	68
67989	705	21	23	18	33747	32
30989	301	14	5	17	4154	6
135458	1803	81	43	12	19474	68
73504	799	35	23	7	35130	33
63123	861	43	34	17	39067	84
61254	1186	46	36	14	13310	46
74914	1451	30	35	23	65892	30
31774	628	23	0	17	4143	0
81437	1161	38	37	14	28579	36
87186	1463	54	28	15	51776	47
50090	742	20	16	17	21152	20
65745	979	53	26	21	38084	50
56653	675	45	38	18	27717	30
158399	1241	39	23	18	32928	30
46455	676	20	22	17	11342	34
73624	1049	24	30	17	19499	33
38395	620	31	16	16	16380	34
91899	1081	35	18	15	36874	37
139526	1688	151	28	21	48259	83
52164	736	52	32	16	16734	32
51567	617	30	21	14	28207	30
70551	812	31	23	15	30143	43
84856	1051	29	29	17	41369	41
102538	1656	57	50	15	45833	51
86678	705	40	12	15	29156	19
85709	945	44	21	10	35944	37
34662	554	25	18	6	36278	33
150580	1597	77	27	22	45588	41
99611	982	35	41	21	45097	54
19349	222	11	13	1	3895	14
99373	1212	63	12	18	28394	25
86230	1143	44	21	17	18632	25
30837	435	19	8	4	2325	8
31706	532	13	26	10	25139	26
89806	882	42	27	16	27975	20
62088	608	38	13	16	14483	11
40151	459	29	16	9	13127	14
27634	578	20	2	16	5839	3
76990	826	27	42	17	24069	40
37460	509	20	5	7	3738	5
54157	717	19	37	15	18625	38
49862	637	37	17	14	36341	32
84337	857	26	38	14	24548	41
64175	830	42	37	18	21792	46
59382	652	49	29	12	26263	47
119308	707	30	32	16	23686	37
76702	954	49	35	21	49303	51
103425	1461	67	17	19	25659	49
70344	672	28	20	16	28904	21
43410	778	19	7	1	2781	1
104838	1141	49	46	16	29236	44
62215	680	27	24	10	19546	26
69304	1090	30	40	19	22818	21
53117	616	22	3	12	32689	4
19764	285	12	10	2	5752	10
86680	1145	31	37	14	22197	43
84105	733	20	17	17	20055	34
77945	888	20	28	19	25272	32
89113	849	39	19	14	82206	20
91005	1182	29	29	11	32073	34
40248	528	16	8	4	5444	6
64187	642	27	10	16	20154	12
50857	947	21	15	20	36944	24
56613	819	19	15	12	8019	16
62792	757	35	28	15	30884	72
72535	894	14	17	16	19540	27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 7 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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=231514&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.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=231514&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231514&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 time7 seconds
R Server'Gertrude Mary Cox' @ cox.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_rfcpageviewsloginsblogged_computationscompendiums_reviewedtotsizetothyperlinks
time_in_rfc10.7390.6090.6830.590.6170.667
pageviews0.73910.6610.6270.5270.5320.584
logins0.6090.66110.5230.4530.4740.513
blogged_computations0.6830.6270.52310.5740.6060.747
compendiums_reviewed0.590.5270.4530.57410.5820.557
totsize0.6170.5320.4740.6060.58210.655
tothyperlinks 0.6670.5840.5130.7470.5570.6551

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & time_in_rfc & pageviews & logins & blogged_computations & compendiums_reviewed & totsize & tothyperlinks
 \tabularnewline
time_in_rfc & 1 & 0.739 & 0.609 & 0.683 & 0.59 & 0.617 & 0.667 \tabularnewline
pageviews & 0.739 & 1 & 0.661 & 0.627 & 0.527 & 0.532 & 0.584 \tabularnewline
logins & 0.609 & 0.661 & 1 & 0.523 & 0.453 & 0.474 & 0.513 \tabularnewline
blogged_computations & 0.683 & 0.627 & 0.523 & 1 & 0.574 & 0.606 & 0.747 \tabularnewline
compendiums_reviewed & 0.59 & 0.527 & 0.453 & 0.574 & 1 & 0.582 & 0.557 \tabularnewline
totsize & 0.617 & 0.532 & 0.474 & 0.606 & 0.582 & 1 & 0.655 \tabularnewline
tothyperlinks
 & 0.667 & 0.584 & 0.513 & 0.747 & 0.557 & 0.655 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231514&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]pageviews[/C][C]logins[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]totsize[/C][C]tothyperlinks
[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.739[/C][C]0.609[/C][C]0.683[/C][C]0.59[/C][C]0.617[/C][C]0.667[/C][/ROW]
[ROW][C]pageviews[/C][C]0.739[/C][C]1[/C][C]0.661[/C][C]0.627[/C][C]0.527[/C][C]0.532[/C][C]0.584[/C][/ROW]
[ROW][C]logins[/C][C]0.609[/C][C]0.661[/C][C]1[/C][C]0.523[/C][C]0.453[/C][C]0.474[/C][C]0.513[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.683[/C][C]0.627[/C][C]0.523[/C][C]1[/C][C]0.574[/C][C]0.606[/C][C]0.747[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.59[/C][C]0.527[/C][C]0.453[/C][C]0.574[/C][C]1[/C][C]0.582[/C][C]0.557[/C][/ROW]
[ROW][C]totsize[/C][C]0.617[/C][C]0.532[/C][C]0.474[/C][C]0.606[/C][C]0.582[/C][C]1[/C][C]0.655[/C][/ROW]
[ROW][C]tothyperlinks
[/C][C]0.667[/C][C]0.584[/C][C]0.513[/C][C]0.747[/C][C]0.557[/C][C]0.655[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231514&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231514&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=kendall)
time_in_rfcpageviewsloginsblogged_computationscompendiums_reviewedtotsizetothyperlinks
time_in_rfc10.7390.6090.6830.590.6170.667
pageviews0.73910.6610.6270.5270.5320.584
logins0.6090.66110.5230.4530.4740.513
blogged_computations0.6830.6270.52310.5740.6060.747
compendiums_reviewed0.590.5270.4530.57410.5820.557
totsize0.6170.5320.4740.6060.58210.655
tothyperlinks 0.6670.5840.5130.7470.5570.6551







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_rfc;pageviews0.89280.90250.7387
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
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)
time_in_rfc;tothyperlinks 0.81640.85880.6675
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
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)
pageviews;tothyperlinks 0.70540.77910.5836
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)
logins;tothyperlinks 0.5870.70880.513
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)
blogged_computations;tothyperlinks 0.8840.90640.7471
p-value(0)(0)(0)
compendiums_reviewed;totsize0.73450.78990.5825
p-value(0)(0)(0)
compendiums_reviewed;tothyperlinks 0.72060.75470.557
p-value(0)(0)(0)
totsize;tothyperlinks 0.79780.83840.6548
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;pageviews & 0.8928 & 0.9025 & 0.7387 \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;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
time_in_rfc;tothyperlinks
 & 0.8164 & 0.8588 & 0.6675 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7588 & 0.845 & 0.6609 \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
pageviews;tothyperlinks
 & 0.7054 & 0.7791 & 0.5836 \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
logins;tothyperlinks
 & 0.587 & 0.7088 & 0.513 \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
blogged_computations;tothyperlinks
 & 0.884 & 0.9064 & 0.7471 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totsize & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;tothyperlinks
 & 0.7206 & 0.7547 & 0.557 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tothyperlinks
 & 0.7978 & 0.8384 & 0.6548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231514&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;pageviews[/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]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;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]time_in_rfc;tothyperlinks
[/C][C]0.8164[/C][C]0.8588[/C][C]0.6675[/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;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]pageviews;tothyperlinks
[/C][C]0.7054[/C][C]0.7791[/C][C]0.5836[/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]logins;tothyperlinks
[/C][C]0.587[/C][C]0.7088[/C][C]0.513[/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]blogged_computations;tothyperlinks
[/C][C]0.884[/C][C]0.9064[/C][C]0.7471[/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]
[ROW][C]compendiums_reviewed;tothyperlinks
[/C][C]0.7206[/C][C]0.7547[/C][C]0.557[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;tothyperlinks
[/C][C]0.7978[/C][C]0.8384[/C][C]0.6548[/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=231514&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231514&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;pageviews0.89280.90250.7387
p-value(0)(0)(0)
time_in_rfc;logins0.7160.79820.609
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)
time_in_rfc;tothyperlinks 0.81640.85880.6675
p-value(0)(0)(0)
pageviews;logins0.75880.8450.6609
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)
pageviews;tothyperlinks 0.70540.77910.5836
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)
logins;tothyperlinks 0.5870.70880.513
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)
blogged_computations;tothyperlinks 0.8840.90640.7471
p-value(0)(0)(0)
compendiums_reviewed;totsize0.73450.78990.5825
p-value(0)(0)(0)
compendiums_reviewed;tothyperlinks 0.72060.75470.557
p-value(0)(0)(0)
totsize;tothyperlinks 0.79780.83840.6548
p-value(0)(0)(0)



Parameters (Session):
par1 = kendall ;
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')