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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 computationMon, 12 Dec 2011 13:01:56 -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/12/t1323712927e8cx9796moozgt8.htm/, Retrieved Thu, 31 Oct 2024 22:46:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154127, Retrieved Thu, 31 Oct 2024 22:46:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
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] [ws10] [2011-12-12 18:01:56] [e7912d585babb6fa20e6bf5178c462ce] [Current]
-    D      [Kendall tau Correlation Matrix] [Pearson correlati...] [2011-12-16 14:09:30] [379dab8110dbf77cfcc4b7951c3a599f]
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Dataseries X:
210907	56	81	30	112285
120982	56	55	28	84786
176508	54	50	38	83123
179321	89	125	30	101193
123185	40	40	22	38361
52746	25	37	26	68504
385534	92	63	25	119182
33170	18	44	18	22807
101645	63	88	11	17140
149061	44	66	26	116174
165446	33	57	25	57635
237213	84	74	38	66198
173326	88	49	44	71701
133131	55	52	30	57793
258873	60	88	40	80444
180083	66	36	34	53855
324799	154	108	47	97668
230964	53	43	30	133824
236785	119	75	31	101481
135473	41	32	23	99645
202925	61	44	36	114789
215147	58	85	36	99052
344297	75	86	30	67654
153935	33	56	25	65553
132943	40	50	39	97500
174724	92	135	34	69112
174415	100	63	31	82753
225548	112	81	31	85323
223632	73	52	33	72654
124817	40	44	25	30727
221698	45	113	33	77873
210767	60	39	35	117478
170266	62	73	42	74007
260561	75	48	43	90183
84853	31	33	30	61542
294424	77	59	33	101494
101011	34	41	13	27570
215641	46	69	32	55813
325107	99	64	36	79215
7176	17	1	0	1423
167542	66	59	28	55461
106408	30	32	14	31081
96560	76	129	17	22996
265769	146	37	32	83122
269651	67	31	30	70106
149112	56	65	35	60578
175824	107	107	20	39992
152871	58	74	28	79892
111665	34	54	28	49810
116408	61	76	39	71570
362301	119	715	34	100708
78800	42	57	26	33032
183167	66	66	39	82875
277965	89	106	39	139077
150629	44	54	33	71595
168809	66	32	28	72260
24188	24	20	4	5950
329267	259	71	39	115762
65029	17	21	18	32551
101097	64	70	14	31701
218946	41	112	29	80670
244052	68	66	44	143558
341570	168	190	21	117105
103597	43	66	16	23789
233328	132	165	28	120733
256462	105	56	35	105195
206161	71	61	28	73107
311473	112	53	38	132068
235800	94	127	23	149193
177939	82	63	36	46821
207176	70	38	32	87011
196553	57	50	29	95260
174184	53	52	25	55183
143246	103	42	27	106671
187559	121	76	36	73511
187681	62	67	28	92945
119016	52	50	23	78664
182192	52	53	40	70054
73566	32	39	23	22618
194979	62	50	40	74011
167488	45	77	28	83737
143756	46	57	34	69094
275541	63	73	33	93133
243199	75	34	28	95536
182999	88	39	34	225920
135649	46	46	30	62133
152299	53	63	33	61370
120221	37	35	22	43836
346485	90	106	38	106117
145790	63	43	26	38692
193339	78	47	35	84651
80953	25	31	8	56622
122774	45	162	24	15986
130585	46	57	29	95364
112611	41	36	20	26706
286468	144	263	29	89691
241066	82	78	45	67267
148446	91	63	37	126846
204713	71	54	33	41140
182079	63	63	33	102860
140344	53	77	25	51715
220516	62	79	32	55801
243060	63	110	29	111813
162765	32	56	28	120293
182613	39	56	28	138599
232138	62	43	31	161647
265318	117	111	52	115929
85574	34	71	21	24266
310839	92	62	24	162901
225060	93	56	41	109825
232317	54	74	33	129838
144966	144	60	32	37510
43287	14	43	19	43750
155754	61	68	20	40652
164709	109	53	31	87771
201940	38	87	31	85872
235454	73	46	32	89275
220801	75	105	18	44418
99466	50	32	23	192565
92661	61	133	17	35232
133328	55	79	20	40909
61361	77	51	12	13294
125930	75	207	17	32387
100750	72	67	30	140867
224549	50	47	31	120662
82316	32	34	10	21233
102010	53	66	13	44332
101523	42	76	22	61056
243511	71	65	42	101338
22938	10	9	1	1168
41566	35	42	9	13497
152474	65	45	32	65567
61857	25	25	11	25162
99923	66	115	25	32334
132487	41	97	36	40735
317394	86	53	31	91413
21054	16	2	0	855
209641	42	52	24	97068
22648	19	44	13	44339
31414	19	22	8	14116
46698	45	35	13	10288
131698	65	74	19	65622
91735	35	103	18	16563
244749	95	144	33	76643
184510	49	60	40	110681
79863	37	134	22	29011
128423	64	89	38	92696
97839	38	42	24	94785
38214	34	52	8	8773
151101	32	98	35	83209
272458	65	99	43	93815
172494	52	52	43	86687
108043	62	29	14	34553
328107	65	125	41	105547
250579	83	106	38	103487
351067	95	95	45	213688
158015	29	40	31	71220
98866	18	140	13	23517
85439	33	43	28	56926
229242	247	128	31	91721
351619	139	142	40	115168
84207	29	73	30	111194
120445	118	72	16	51009
324598	110	128	37	135777
131069	67	61	30	51513
204271	42	73	35	74163
165543	65	148	32	51633
141722	94	64	27	75345
116048	64	45	20	33416
250047	81	58	18	83305
299775	95	97	31	98952
195838	67	50	31	102372
173260	63	37	21	37238
254488	83	50	39	103772
104389	45	105	41	123969
136084	30	69	13	27142
199476	70	46	32	135400
92499	32	57	18	21399
224330	83	52	39	130115
135781	31	98	14	24874
74408	67	61	7	34988
81240	66	89	17	45549
14688	10	0	0	6023
181633	70	48	30	64466
271856	103	91	37	54990
7199	5	0	0	1644
46660	20	7	5	6179
17547	5	3	1	3926
133368	36	54	16	32755
95227	34	70	32	34777
152601	48	36	24	73224
98146	40	37	17	27114
79619	43	123	11	20760
59194	31	247	24	37636
139942	42	46	22	65461
118612	46	72	12	30080
72880	33	41	19	24094
65475	18	24	13	69008
99643	55	45	17	54968
71965	35	33	15	46090
77272	59	27	16	27507
49289	19	36	24	10672
135131	66	87	15	34029
108446	60	90	17	46300
89746	36	114	18	24760
44296	25	31	20	18779
77648	47	45	16	21280
181528	54	69	16	40662
134019	53	51	18	28987
124064	40	34	22	22827
92630	40	60	8	18513
121848	39	45	17	30594
52915	14	54	18	24006
81872	45	25	16	27913
58981	36	38	23	42744
53515	28	52	22	12934
60812	44	67	13	22574
56375	30	74	13	41385
65490	22	38	16	18653
80949	17	30	16	18472
76302	31	26	20	30976
104011	55	67	22	63339
98104	54	132	17	25568
67989	21	42	18	33747
30989	14	35	17	4154
135458	81	118	12	19474
73504	35	68	7	35130
63123	43	43	17	39067
61254	46	76	14	13310
74914	30	64	23	65892
31774	23	48	17	4143
81437	38	64	14	28579
87186	54	56	15	51776
50090	20	71	17	21152
65745	53	75	21	38084
56653	45	39	18	27717
158399	39	42	18	32928
46455	20	39	17	11342
73624	24	93	17	19499
38395	31	38	16	16380
91899	35	60	15	36874
139526	151	71	21	48259
52164	52	52	16	16734
51567	30	27	14	28207
70551	31	59	15	30143
84856	29	40	17	41369
102538	57	79	15	45833
86678	40	44	15	29156
85709	44	65	10	35944
34662	25	10	6	36278
150580	77	124	22	45588
99611	35	81	21	45097
19349	11	15	1	3895
99373	63	92	18	28394
86230	44	42	17	18632
30837	19	10	4	2325
31706	13	24	10	25139
89806	42	64	16	27975
62088	38	45	16	14483
40151	29	22	9	13127
27634	20	56	16	5839
76990	27	94	17	24069
37460	20	19	7	3738
54157	19	35	15	18625
49862	37	32	14	36341
84337	26	35	14	24548
64175	42	48	18	21792
59382	49	49	12	26263
119308	30	48	16	23686
76702	49	62	21	49303
103425	67	96	19	25659
70344	28	45	16	28904
43410	19	63	1	2781
104838	49	71	16	29236
62215	27	26	10	19546
69304	30	48	19	22818
53117	22	29	12	32689
19764	12	19	2	5752
86680	31	45	14	22197
84105	20	45	17	20055
77945	20	67	19	25272
89113	39	30	14	82206
91005	29	36	11	32073
40248	16	34	4	5444
64187	27	36	16	20154
50857	21	34	20	36944
56613	19	37	12	8019
62792	35	46	15	30884
72535	14	44	16	19540




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154127&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154127&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154127&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Correlations for all pairs of data series (method=pearson)
time_in_rfcloginscompendium_views_prcompendiums_reviewedtotsize
time_in_rfc10.7160.390.7580.746
logins0.71610.3880.5490.536
compendium_views_pr0.390.38810.2630.207
compendiums_reviewed0.7580.5490.26310.734
totsize0.7460.5360.2070.7341

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & time_in_rfc & logins & compendium_views_pr & compendiums_reviewed & totsize \tabularnewline
time_in_rfc & 1 & 0.716 & 0.39 & 0.758 & 0.746 \tabularnewline
logins & 0.716 & 1 & 0.388 & 0.549 & 0.536 \tabularnewline
compendium_views_pr & 0.39 & 0.388 & 1 & 0.263 & 0.207 \tabularnewline
compendiums_reviewed & 0.758 & 0.549 & 0.263 & 1 & 0.734 \tabularnewline
totsize & 0.746 & 0.536 & 0.207 & 0.734 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154127&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_pr[/C][C]compendiums_reviewed[/C][C]totsize[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.716[/C][C]0.39[/C][C]0.758[/C][C]0.746[/C][/ROW]
[ROW][C]logins[/C][C]0.716[/C][C]1[/C][C]0.388[/C][C]0.549[/C][C]0.536[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.39[/C][C]0.388[/C][C]1[/C][C]0.263[/C][C]0.207[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.758[/C][C]0.549[/C][C]0.263[/C][C]1[/C][C]0.734[/C][/ROW]
[ROW][C]totsize[/C][C]0.746[/C][C]0.536[/C][C]0.207[/C][C]0.734[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154127&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154127&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_prcompendiums_reviewedtotsize
time_in_rfc10.7160.390.7580.746
logins0.71610.3880.5490.536
compendium_views_pr0.390.38810.2630.207
compendiums_reviewed0.7580.5490.26310.734
totsize0.7460.5360.2070.7341







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_pr0.39030.4890.3435
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;compendium_views_pr0.38820.52260.3788
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)
compendium_views_pr;compendiums_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;totsize0.20650.3460.2382
p-value(4e-04)(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
time_in_rfc;logins & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.3903 & 0.489 & 0.3435 \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;compendium_views_pr & 0.3882 & 0.5226 & 0.3788 \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
compendium_views_pr;compendiums_reviewed & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;totsize & 0.2065 & 0.346 & 0.2382 \tabularnewline
p-value & (4e-04) & (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=154127&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_pr[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/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;compendium_views_pr[/C][C]0.3882[/C][C]0.5226[/C][C]0.3788[/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]compendium_views_pr;compendiums_reviewed[/C][C]0.2633[/C][C]0.3939[/C][C]0.2823[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;totsize[/C][C]0.2065[/C][C]0.346[/C][C]0.2382[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/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=154127&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154127&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_pr0.39030.4890.3435
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;compendium_views_pr0.38820.52260.3788
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)
compendium_views_pr;compendiums_reviewed0.26330.39390.2823
p-value(0)(0)(0)
compendium_views_pr;totsize0.20650.3460.2382
p-value(4e-04)(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')