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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, 22 Dec 2011 08:41:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t13245612963flc5jhcgi7ao9m.htm/, Retrieved Fri, 03 May 2024 11:43:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159446, Retrieved Fri, 03 May 2024 11:43:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [correlatie matrix] [2011-12-22 13:41:23] [4b6873bd96f897d014a733f8c9ed3ed9] [Current]
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Dataseries X:
210907	56	396	79	112285	24188
120982	56	297	58	84786	18273
176508	54	559	60	83123	14130
179321	89	967	108	101193	32287
123185	40	270	49	38361	8654
52746	25	143	0	68504	9245
385534	92	1562	121	119182	33251
33170	18	109	1	22807	1271
101645	63	371	20	17140	5279
149061	44	656	43	116174	27101
165446	33	511	69	57635	16373
237213	84	655	78	66198	19716
173326	88	465	86	71701	17753
133131	55	525	44	57793	9028
258873	60	885	104	80444	18653
180083	66	497	63	53855	8828
324799	154	1436	158	97668	29498
230964	53	612	102	133824	27563
236785	119	865	77	101481	18293
135473	41	385	82	99645	22530
202925	61	567	115	114789	15977
215147	58	639	101	99052	35082
344297	75	963	80	67654	16116
153935	33	398	50	65553	15849
132943	40	410	83	97500	16026
174724	92	966	123	69112	26569
174415	100	801	73	82753	24785
225548	112	892	81	85323	17569
223632	73	513	105	72654	23825
124817	40	469	47	30727	7869
221698	45	683	105	77873	14975
210767	60	643	94	117478	37791
170266	62	535	44	74007	9605
260561	75	625	114	90183	27295
84853	31	264	38	61542	2746
294424	77	992	107	101494	34461
101011	34	238	30	27570	8098
215641	46	818	71	55813	4787
325107	99	937	84	79215	24919
7176	17	70	0	1423	603
167542	66	507	59	55461	16329
106408	30	260	33	31081	12558
96560	76	503	42	22996	7784
265769	146	927	96	83122	28522
269651	67	1269	106	70106	22265
149112	56	537	56	60578	14459
175824	107	910	57	39992	14526
152871	58	532	59	79892	22240
111665	34	345	39	49810	11802
116408	61	918	34	71570	7623
362301	119	1635	76	100708	11912
78800	42	330	20	33032	7935
183167	66	557	91	82875	18220
277965	89	1178	115	139077	19199
150629	44	740	85	71595	19918
168809	66	452	76	72260	21884
24188	24	218	8	5950	2694
329267	259	764	79	115762	15808
65029	17	255	21	32551	3597
101097	64	454	30	31701	5296
218946	41	866	76	80670	25239
244052	68	574	101	143558	29801
341570	168	1276	94	117105	18450
103597	43	379	27	23789	7132
233328	132	825	92	120733	34861
256462	105	798	123	105195	35940
206161	71	663	75	73107	16688
311473	112	1069	128	132068	24683
235800	94	921	105	149193	46230
177939	82	858	55	46821	10387
207176	70	711	56	87011	21436
196553	57	503	41	95260	30546
174184	53	382	72	55183	19746
143246	103	464	67	106671	15977
187559	121	717	75	73511	22583
187681	62	690	114	92945	17274
119016	52	462	118	78664	16469
182192	52	657	77	70054	14251
73566	32	385	22	22618	3007
194979	62	577	66	74011	16851
167488	45	619	69	83737	21113
143756	46	479	105	69094	17401
275541	63	817	116	93133	23958
243199	75	752	88	95536	23567
182999	88	430	73	225920	13065
135649	46	451	99	62133	15358
152299	53	537	62	61370	14587
120221	37	519	53	43836	12770
346485	90	1000	118	106117	24021
145790	63	637	30	38692	9648
193339	78	465	100	84651	20537
80953	25	437	49	56622	7905
122774	45	711	24	15986	4527
130585	46	299	67	95364	30495
112611	41	248	46	26706	7117
286468	144	1162	57	89691	17719
241066	82	714	75	67267	27056
148446	91	905	135	126846	33473
204713	71	649	68	41140	9758
182079	63	512	124	102860	21115
140344	53	472	33	51715	7236
220516	62	905	98	55801	13790
243060	63	786	58	111813	32902
162765	32	489	68	120293	25131
182613	39	479	81	138599	30910
232138	62	617	131	161647	35947
265318	117	925	110	115929	29848
85574	34	351	37	24266	6943
310839	92	1144	130	162901	42705
225060	93	669	93	109825	31808
232317	54	707	118	129838	26675
144966	144	458	39	37510	8435
43287	14	214	13	43750	7409
155754	61	599	74	40652	14993
164709	109	572	81	87771	36867
201940	38	897	109	85872	33835
235454	73	819	151	89275	24164
220801	75	720	51	44418	12607
99466	50	273	28	192565	22609
92661	61	508	40	35232	5892
133328	55	506	56	40909	17014
61361	77	451	27	13294	5394
125930	75	699	37	32387	9178
100750	72	407	83	140867	6440
224549	50	465	54	120662	21916
82316	32	245	27	21233	4011
102010	53	370	28	44332	5818
101523	42	316	59	61056	18647
243511	71	603	133	101338	20556
22938	10	154	12	1168	238
41566	35	229	0	13497	70
152474	65	577	106	65567	22392
61857	25	192	23	25162	3913
99923	66	617	44	32334	12237
132487	41	411	71	40735	8388
317394	86	975	116	91413	22120
21054	16	146	4	855	338
209641	42	705	62	97068	11727
22648	19	184	12	44339	3704
31414	19	200	18	14116	3988
46698	45	274	14	10288	3030
131698	65	502	60	65622	13520
91735	35	382	7	16563	1421
244749	95	964	98	76643	20923
184510	49	537	64	110681	20237
79863	37	438	29	29011	3219
128423	64	369	32	92696	3769
97839	38	417	25	94785	12252
38214	34	276	16	8773	1888
151101	32	514	48	83209	14497
272458	65	822	100	93815	28864
172494	52	389	46	86687	21721
108043	62	466	45	34553	4821
328107	65	1255	129	105547	33644
250579	83	694	130	103487	15923
351067	95	1024	136	213688	42935
158015	29	400	59	71220	18864
98866	18	397	25	23517	4977
85439	33	350	32	56926	7785
229242	247	719	63	91721	17939
351619	139	1277	95	115168	23436
84207	29	356	14	111194	325
120445	118	457	36	51009	13539
324598	110	1402	113	135777	34538
131069	67	600	47	51513	12198
204271	42	480	92	74163	26924
165543	65	595	70	51633	12716
141722	94	436	19	75345	8172
116048	64	230	50	33416	10855
250047	81	651	41	83305	11932
299775	95	1367	91	98952	14300
195838	67	564	111	102372	25515
173260	63	716	41	37238	2805
254488	83	747	120	103772	29402
104389	45	467	135	123969	16440
136084	30	671	27	27142	11221
199476	70	861	87	135400	28732
92499	32	319	25	21399	5250
224330	83	612	131	130115	28608
135781	31	433	45	24874	8092
74408	67	434	29	34988	4473
81240	66	503	58	45549	1572
14688	10	85	4	6023	2065
181633	70	564	47	64466	14817
271856	103	824	109	54990	16714
7199	5	74	7	1644	556
46660	20	259	12	6179	2089
17547	5	69	0	3926	2658
133368	36	535	37	32755	10695
95227	34	239	37	34777	1669
152601	48	438	46	73224	16267
98146	40	459	15	27114	7768
79619	43	426	42	20760	7252
59194	31	288	7	37636	6387
139942	42	498	54	65461	18715
118612	46	454	54	30080	7936
72880	33	376	14	24094	8643
65475	18	225	16	69008	7294
99643	55	555	33	54968	4570
71965	35	252	32	46090	7185
77272	59	208	21	27507	10058
49289	19	130	15	10672	2342
135131	66	481	38	34029	8509
108446	60	389	22	46300	13275
89746	36	565	28	24760	6816
44296	25	173	10	18779	1930
77648	47	278	31	21280	8086
181528	54	609	32	40662	10737
134019	53	422	32	28987	8033
124064	40	445	43	22827	7058
92630	40	387	27	18513	6782
121848	39	339	37	30594	5401
52915	14	181	20	24006	6521
81872	45	245	32	27913	10856
58981	36	384	0	42744	2154
53515	28	212	5	12934	6117
60812	44	399	26	22574	5238
56375	30	229	10	41385	4820
65490	22	224	27	18653	5615
80949	17	203	11	18472	4272
76302	31	333	29	30976	8702
104011	55	384	25	63339	15340
98104	54	636	55	25568	8030
67989	21	185	23	33747	9526
30989	14	93	5	4154	1278
135458	81	581	43	19474	4236
73504	35	248	23	35130	3023
63123	43	304	34	39067	7196
61254	46	344	36	13310	3394
74914	30	407	35	65892	6371
31774	23	170	0	4143	1574
81437	38	312	37	28579	9620
87186	54	507	28	51776	6978
50090	20	224	16	21152	4911
65745	53	340	26	38084	8645
56653	45	168	38	27717	8987
158399	39	443	23	32928	5544
46455	20	204	22	11342	3083
73624	24	367	30	19499	6909
38395	31	210	16	16380	3189
91899	35	335	18	36874	6745
139526	151	364	28	48259	16724
52164	52	178	32	16734	4850
51567	30	206	21	28207	7025
70551	31	279	23	30143	6047
84856	29	387	29	41369	7377
102538	57	490	50	45833	9078
86678	40	238	12	29156	4605
85709	44	343	21	35944	3238
34662	25	232	18	36278	8100
150580	77	530	27	45588	9653
99611	35	291	41	45097	8914
19349	11	67	13	3895	786
99373	63	397	12	28394	6700
86230	44	467	21	18632	5788
30837	19	178	8	2325	593
31706	13	175	26	25139	4506
89806	42	299	27	27975	6382
62088	38	154	13	14483	5621
40151	29	106	16	13127	3997
27634	20	189	2	5839	520
76990	27	194	42	24069	8891
37460	20	135	5	3738	999
54157	19	201	37	18625	7067
49862	37	207	17	36341	4639
84337	26	280	38	24548	5654
64175	42	260	37	21792	6928
59382	49	227	29	26263	1514
119308	30	239	32	23686	9238
76702	49	333	35	49303	8204
103425	67	428	17	25659	5926
70344	28	230	20	28904	5785
43410	19	292	7	2781	4
104838	49	350	46	29236	5930
62215	27	186	24	19546	3710
69304	30	326	40	22818	705
53117	22	155	3	32689	443
19764	12	75	10	5752	2416
86680	31	361	37	22197	7747
84105	20	261	17	20055	5432
77945	20	299	28	25272	4913
89113	39	300	19	82206	2650
91005	29	450	29	32073	2370
40248	16	183	8	5444	775
64187	27	238	10	20154	5576
50857	21	165	15	36944	1352
56613	19	234	15	8019	3080
62792	35	176	28	30884	10205
72535	14	329	17	19540	6095




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159446&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159446&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159446&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'Herman Ole Andreas Wold' @ wold.wessa.net







Correlations for all pairs of data series (method=pearson)
time_in_rfcloginscompendium_views_infoblogged_computationstotsizetotrevisions
time_in_rfc10.7160.8930.8310.7460.783
logins0.71610.6920.5660.5360.534
compendium_views_info0.8930.69210.7490.6270.674
blogged_computations0.8310.5660.74910.760.826
totsize0.7460.5360.6270.7610.808
totrevisions0.7830.5340.6740.8260.8081

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_in_rfc & logins & compendium_views_info & blogged_computations & totsize & totrevisions \tabularnewline
time_in_rfc & 1 & 0.716 & 0.893 & 0.831 & 0.746 & 0.783 \tabularnewline
logins & 0.716 & 1 & 0.692 & 0.566 & 0.536 & 0.534 \tabularnewline
compendium_views_info & 0.893 & 0.692 & 1 & 0.749 & 0.627 & 0.674 \tabularnewline
blogged_computations & 0.831 & 0.566 & 0.749 & 1 & 0.76 & 0.826 \tabularnewline
totsize & 0.746 & 0.536 & 0.627 & 0.76 & 1 & 0.808 \tabularnewline
totrevisions & 0.783 & 0.534 & 0.674 & 0.826 & 0.808 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159446&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]logins[/C][C]compendium_views_info[/C][C]blogged_computations[/C][C]totsize[/C][C]totrevisions[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.716[/C][C]0.893[/C][C]0.831[/C][C]0.746[/C][C]0.783[/C][/ROW]
[ROW][C]logins[/C][C]0.716[/C][C]1[/C][C]0.692[/C][C]0.566[/C][C]0.536[/C][C]0.534[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.893[/C][C]0.692[/C][C]1[/C][C]0.749[/C][C]0.627[/C][C]0.674[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.831[/C][C]0.566[/C][C]0.749[/C][C]1[/C][C]0.76[/C][C]0.826[/C][/ROW]
[ROW][C]totsize[/C][C]0.746[/C][C]0.536[/C][C]0.627[/C][C]0.76[/C][C]1[/C][C]0.808[/C][/ROW]
[ROW][C]totrevisions[/C][C]0.783[/C][C]0.534[/C][C]0.674[/C][C]0.826[/C][C]0.808[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159446&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159446&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_rfcloginscompendium_views_infoblogged_computationstotsizetotrevisions
time_in_rfc10.7160.8930.8310.7460.783
logins0.71610.6920.5660.5360.534
compendium_views_info0.8930.69210.7490.6270.674
blogged_computations0.8310.5660.74910.760.826
totsize0.7460.5360.6270.7610.808
totrevisions0.7830.5340.6740.8260.8081







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time_in_rfc;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;totsize0.74620.81180.6171
p-value(0)(0)(0)
time_in_rfc;totrevisions0.78270.8410.639
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;totsize0.53640.65880.4742
p-value(0)(0)(0)
logins;totrevisions0.53390.67270.4818
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;totsize0.62670.71350.5211
p-value(0)(0)(0)
compendium_views_info;totrevisions0.67360.73320.5335
p-value(0)(0)(0)
blogged_computations;totsize0.76050.79620.6059
p-value(0)(0)(0)
blogged_computations;totrevisions0.82570.84650.6558
p-value(0)(0)(0)
totsize;totrevisions0.80780.82890.6491
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8925 & 0.8995 & 0.726 \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;totsize & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totrevisions & 0.7827 & 0.841 & 0.639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6919 & 0.8018 & 0.6142 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totsize & 0.5364 & 0.6588 & 0.4742 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totrevisions & 0.5339 & 0.6727 & 0.4818 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;blogged_computations & 0.7489 & 0.8051 & 0.6045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;totsize & 0.6267 & 0.7135 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;totrevisions & 0.6736 & 0.7332 & 0.5335 \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;totrevisions & 0.8257 & 0.8465 & 0.6558 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totrevisions & 0.8078 & 0.8289 & 0.6491 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159446&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]time_in_rfc;logins[/C][C]0.716[/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;compendium_views_info[/C][C]0.8925[/C][C]0.8995[/C][C]0.726[/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;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;totrevisions[/C][C]0.7827[/C][C]0.841[/C][C]0.639[/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]0.6919[/C][C]0.8018[/C][C]0.6142[/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;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;totrevisions[/C][C]0.5339[/C][C]0.6727[/C][C]0.4818[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.7489[/C][C]0.8051[/C][C]0.6045[/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]0.6267[/C][C]0.7135[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;totrevisions[/C][C]0.6736[/C][C]0.7332[/C][C]0.5335[/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;totrevisions[/C][C]0.8257[/C][C]0.8465[/C][C]0.6558[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totrevisions[/C][C]0.8078[/C][C]0.8289[/C][C]0.6491[/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=159446&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159446&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;logins0.7160.79820.609
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.89250.89950.726
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.83090.87170.683
p-value(0)(0)(0)
time_in_rfc;totsize0.74620.81180.6171
p-value(0)(0)(0)
time_in_rfc;totrevisions0.78270.8410.639
p-value(0)(0)(0)
logins;compendium_views_info0.69190.80180.6142
p-value(0)(0)(0)
logins;blogged_computations0.56610.71780.523
p-value(0)(0)(0)
logins;totsize0.53640.65880.4742
p-value(0)(0)(0)
logins;totrevisions0.53390.67270.4818
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.74890.80510.6045
p-value(0)(0)(0)
compendium_views_info;totsize0.62670.71350.5211
p-value(0)(0)(0)
compendium_views_info;totrevisions0.67360.73320.5335
p-value(0)(0)(0)
blogged_computations;totsize0.76050.79620.6059
p-value(0)(0)(0)
blogged_computations;totrevisions0.82570.84650.6558
p-value(0)(0)(0)
totsize;totrevisions0.80780.82890.6491
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')