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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sun, 18 Dec 2011 03:50:23 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/18/t13241982405r50pvx4c0grlbn.htm/, Retrieved Sun, 05 May 2024 16:19:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156616, Retrieved Sun, 05 May 2024 16:19:14 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

100

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [] [2011-12-18 08:50:23] [fc803cbaf0eb62e67cf40ee2236375c4] [Current]

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210907	81	79	30	115	112285
120982	55	58	28	109	84786
176508	50	60	38	146	83123
179321	125	108	30	116	101193
123185	40	49	22	68	38361
52746	37	0	26	101	68504
385534	63	121	25	96	119182
33170	44	1	18	67	22807
101645	88	20	11	44	17140
149061	66	43	26	100	116174
165446	57	69	25	93	57635
237213	74	78	38	140	66198
173326	49	86	44	166	71701
133131	52	44	30	99	57793
258873	88	104	40	139	80444
180083	36	63	34	130	53855
324799	108	158	47	181	97668
230964	43	102	30	116	133824
236785	75	77	31	116	101481
135473	32	82	23	88	99645
202925	44	115	36	139	114789
215147	85	101	36	135	99052
344297	86	80	30	108	67654
153935	56	50	25	89	65553
132943	50	83	39	156	97500
174724	135	123	34	129	69112
174415	63	73	31	118	82753
225548	81	81	31	118	85323
223632	52	105	33	125	72654
124817	44	47	25	95	30727
221698	113	105	33	126	77873
210767	39	94	35	135	117478
170266	73	44	42	154	74007
260561	48	114	43	165	90183
84853	33	38	30	113	61542
294424	59	107	33	127	101494
101011	41	30	13	52	27570
215641	69	71	32	121	55813
325107	64	84	36	136	79215
7176	1	0	0	0	1423
167542	59	59	28	108	55461
106408	32	33	14	46	31081
96560	129	42	17	54	22996
265769	37	96	32	124	83122
269651	31	106	30	115	70106
149112	65	56	35	128	60578
175824	107	57	20	80	39992
152871	74	59	28	97	79892
111665	54	39	28	104	49810
116408	76	34	39	59	71570
362301	715	76	34	125	100708
78800	57	20	26	82	33032
183167	66	91	39	149	82875
277965	106	115	39	149	139077
150629	54	85	33	122	71595
168809	32	76	28	118	72260
24188	20	8	4	12	5950
329267	71	79	39	144	115762
65029	21	21	18	67	32551
101097	70	30	14	52	31701
218946	112	76	29	108	80670
244052	66	101	44	166	143558
341570	190	94	21	80	117105
103597	66	27	16	60	23789
233328	165	92	28	107	120733
256462	56	123	35	127	105195
206161	61	75	28	107	73107
311473	53	128	38	146	132068
235800	127	105	23	84	149193
177939	63	55	36	141	46821
207176	38	56	32	123	87011
196553	50	41	29	111	95260
174184	52	72	25	98	55183
143246	42	67	27	105	106671
187559	76	75	36	135	73511
187681	67	114	28	107	92945
119016	50	118	23	85	78664
182192	53	77	40	155	70054
73566	39	22	23	88	22618
194979	50	66	40	155	74011
167488	77	69	28	104	83737
143756	57	105	34	132	69094
275541	73	116	33	127	93133
243199	34	88	28	108	95536
182999	39	73	34	129	225920
135649	46	99	30	116	62133
152299	63	62	33	122	61370
120221	35	53	22	85	43836
346485	106	118	38	147	106117
145790	43	30	26	99	38692
193339	47	100	35	87	84651
80953	31	49	8	28	56622
122774	162	24	24	90	15986
130585	57	67	29	109	95364
112611	36	46	20	78	26706
286468	263	57	29	111	89691
241066	78	75	45	158	67267
148446	63	135	37	141	126846
204713	54	68	33	122	41140
182079	63	124	33	124	102860
140344	77	33	25	93	51715
220516	79	98	32	124	55801
243060	110	58	29	112	111813
162765	56	68	28	108	120293
182613	56	81	28	99	138599
232138	43	131	31	117	161647
265318	111	110	52	199	115929
85574	71	37	21	78	24266
310839	62	130	24	91	162901
225060	56	93	41	158	109825
232317	74	118	33	126	129838
144966	60	39	32	122	37510
43287	43	13	19	71	43750
155754	68	74	20	75	40652
164709	53	81	31	115	87771
201940	87	109	31	119	85872
235454	46	151	32	124	89275
220801	105	51	18	72	44418
99466	32	28	23	91	192565
92661	133	40	17	45	35232
133328	79	56	20	78	40909
61361	51	27	12	39	13294
125930	207	37	17	68	32387
100750	67	83	30	119	140867
224549	47	54	31	117	120662
82316	34	27	10	39	21233
102010	66	28	13	50	44332
101523	76	59	22	88	61056
243511	65	133	42	155	101338
22938	9	12	1	0	1168
41566	42	0	9	36	13497
152474	45	106	32	123	65567
61857	25	23	11	32	25162
99923	115	44	25	99	32334
132487	97	71	36	136	40735
317394	53	116	31	117	91413
21054	2	4	0	0	855
209641	52	62	24	88	97068
22648	44	12	13	39	44339
31414	22	18	8	25	14116
46698	35	14	13	52	10288
131698	74	60	19	75	65622
91735	103	7	18	71	16563
244749	144	98	33	124	76643
184510	60	64	40	151	110681
79863	134	29	22	71	29011
128423	89	32	38	145	92696
97839	42	25	24	87	94785
38214	52	16	8	27	8773
151101	98	48	35	131	83209
272458	99	100	43	162	93815
172494	52	46	43	165	86687
108043	29	45	14	54	34553
328107	125	129	41	159	105547
250579	106	130	38	147	103487
351067	95	136	45	170	213688
158015	40	59	31	119	71220
98866	140	25	13	49	23517
85439	43	32	28	104	56926
229242	128	63	31	120	91721
351619	142	95	40	150	115168
84207	73	14	30	112	111194
120445	72	36	16	59	51009
324598	128	113	37	136	135777
131069	61	47	30	107	51513
204271	73	92	35	130	74163
165543	148	70	32	115	51633
141722	64	19	27	107	75345
116048	45	50	20	75	33416
250047	58	41	18	71	83305
299775	97	91	31	120	98952
195838	50	111	31	116	102372
173260	37	41	21	79	37238
254488	50	120	39	150	103772
104389	105	135	41	156	123969
136084	69	27	13	51	27142
199476	46	87	32	118	135400
92499	57	25	18	71	21399
224330	52	131	39	144	130115
135781	98	45	14	47	24874
74408	61	29	7	28	34988
81240	89	58	17	68	45549
14688	0	4	0	0	6023
181633	48	47	30	110	64466
271856	91	109	37	147	54990
7199	0	7	0	0	1644
46660	7	12	5	15	6179
17547	3	0	1	4	3926
133368	54	37	16	64	32755
95227	70	37	32	111	34777
152601	36	46	24	85	73224
98146	37	15	17	68	27114
79619	123	42	11	40	20760
59194	247	7	24	80	37636
139942	46	54	22	88	65461
118612	72	54	12	48	30080
72880	41	14	19	76	24094
65475	24	16	13	51	69008
99643	45	33	17	67	54968
71965	33	32	15	59	46090
77272	27	21	16	61	27507
49289	36	15	24	76	10672
135131	87	38	15	60	34029
108446	90	22	17	68	46300
89746	114	28	18	71	24760
44296	31	10	20	76	18779
77648	45	31	16	62	21280
181528	69	32	16	61	40662
134019	51	32	18	67	28987
124064	34	43	22	88	22827
92630	60	27	8	30	18513
121848	45	37	17	64	30594
52915	54	20	18	68	24006
81872	25	32	16	64	27913
58981	38	0	23	91	42744
53515	52	5	22	88	12934
60812	67	26	13	52	22574
56375	74	10	13	49	41385
65490	38	27	16	62	18653
80949	30	11	16	61	18472
76302	26	29	20	76	30976
104011	67	25	22	88	63339
98104	132	55	17	66	25568
67989	42	23	18	71	33747
30989	35	5	17	68	4154
135458	118	43	12	48	19474
73504	68	23	7	25	35130
63123	43	34	17	68	39067
61254	76	36	14	41	13310
74914	64	35	23	90	65892
31774	48	0	17	66	4143
81437	64	37	14	54	28579
87186	56	28	15	59	51776
50090	71	16	17	60	21152
65745	75	26	21	77	38084
56653	39	38	18	68	27717
158399	42	23	18	72	32928
46455	39	22	17	67	11342
73624	93	30	17	64	19499
38395	38	16	16	63	16380
91899	60	18	15	59	36874
139526	71	28	21	84	48259
52164	52	32	16	64	16734
51567	27	21	14	56	28207
70551	59	23	15	54	30143
84856	40	29	17	67	41369
102538	79	50	15	58	45833
86678	44	12	15	59	29156
85709	65	21	10	40	35944
34662	10	18	6	22	36278
150580	124	27	22	83	45588
99611	81	41	21	81	45097
19349	15	13	1	2	3895
99373	92	12	18	72	28394
86230	42	21	17	61	18632
30837	10	8	4	15	2325
31706	24	26	10	32	25139
89806	64	27	16	62	27975
62088	45	13	16	58	14483
40151	22	16	9	36	13127
27634	56	2	16	59	5839
76990	94	42	17	68	24069
37460	19	5	7	21	3738
54157	35	37	15	55	18625
49862	32	17	14	54	36341
84337	35	38	14	55	24548
64175	48	37	18	72	21792
59382	49	29	12	41	26263
119308	48	32	16	61	23686
76702	62	35	21	67	49303
103425	96	17	19	76	25659
70344	45	20	16	64	28904
43410	63	7	1	3	2781
104838	71	46	16	63	29236
62215	26	24	10	40	19546
69304	48	40	19	69	22818
53117	29	3	12	48	32689
19764	19	10	2	8	5752
86680	45	37	14	52	22197
84105	45	17	17	66	20055
77945	67	28	19	76	25272
89113	30	19	14	43	82206
91005	36	29	11	39	32073
40248	34	8	4	14	5444
64187	36	10	16	61	20154
50857	34	15	20	71	36944
56613	37	15	12	44	8019
62792	46	28	15	60	30884
72535	44	17	16	64	19540

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.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=156616&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.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=156616&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156616&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.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_rfc	compendium_views_pr	blogged_computations	compendiums_reviewed	feedback_messages_p1	totsize
time_in_rfc	1	0.344	0.683	0.59	0.592	0.617
compendium_views_pr	0.344	1	0.289	0.282	0.268	0.238
blogged_computations	0.683	0.289	1	0.574	0.573	0.606
compendiums_reviewed	0.59	0.282	0.574	1	0.939	0.582
feedback_messages_p1	0.592	0.268	0.573	0.939	1	0.58
totsize	0.617	0.238	0.606	0.582	0.58	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & time_in_rfc & compendium_views_pr & blogged_computations & compendiums_reviewed & feedback_messages_p1 & totsize
 \tabularnewline
time_in_rfc & 1 & 0.344 & 0.683 & 0.59 & 0.592 & 0.617 \tabularnewline
compendium_views_pr & 0.344 & 1 & 0.289 & 0.282 & 0.268 & 0.238 \tabularnewline
blogged_computations & 0.683 & 0.289 & 1 & 0.574 & 0.573 & 0.606 \tabularnewline
compendiums_reviewed & 0.59 & 0.282 & 0.574 & 1 & 0.939 & 0.582 \tabularnewline
feedback_messages_p1 & 0.592 & 0.268 & 0.573 & 0.939 & 1 & 0.58 \tabularnewline
totsize
 & 0.617 & 0.238 & 0.606 & 0.582 & 0.58 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156616&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]compendium_views_pr[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][C]totsize
[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.344[/C][C]0.683[/C][C]0.59[/C][C]0.592[/C][C]0.617[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.344[/C][C]1[/C][C]0.289[/C][C]0.282[/C][C]0.268[/C][C]0.238[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.683[/C][C]0.289[/C][C]1[/C][C]0.574[/C][C]0.573[/C][C]0.606[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.59[/C][C]0.282[/C][C]0.574[/C][C]1[/C][C]0.939[/C][C]0.582[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.592[/C][C]0.268[/C][C]0.573[/C][C]0.939[/C][C]1[/C][C]0.58[/C][/ROW]
[ROW][C]totsize
[/C][C]0.617[/C][C]0.238[/C][C]0.606[/C][C]0.582[/C][C]0.58[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156616&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156616&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_rfc	compendium_views_pr	blogged_computations	compendiums_reviewed	feedback_messages_p1	totsize
time_in_rfc	1	0.344	0.683	0.59	0.592	0.617
compendium_views_pr	0.344	1	0.289	0.282	0.268	0.238
blogged_computations	0.683	0.289	1	0.574	0.573	0.606
compendiums_reviewed	0.59	0.282	0.574	1	0.939	0.582
feedback_messages_p1	0.592	0.268	0.573	0.939	1	0.58
totsize	0.617	0.238	0.606	0.582	0.58	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
time_in_rfc;compendium_views_pr	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
time_in_rfc;blogged_computations	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time_in_rfc;compendiums_reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p1	0.7635	0.7966	0.5916
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
compendium_views_pr;blogged_computations	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
compendium_views_pr;compendiums_reviewed	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
compendium_views_pr;feedback_messages_p1	0.2547	0.3802	0.2682
p-value	(0)	(0)	(0)
compendium_views_pr;totsize	0.2065	0.346	0.2382
p-value	(4e-04)	(0)	(0)
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;feedback_messages_p1	0.7676	0.7767	0.573
p-value	(0)	(0)	(0)
blogged_computations;totsize	0.7605	0.7962	0.6059
p-value	(0)	(0)	(0)
compendiums_reviewed;feedback_messages_p1	0.984	0.9811	0.9389
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
feedback_messages_p1;totsize	0.735	0.7907	0.5799
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;compendium_views_pr & 0.3903 & 0.489 & 0.3435 \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;feedback_messages_p1 & 0.7635 & 0.7966 & 0.5916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totsize
 & 0.7462 & 0.8118 & 0.6171 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;blogged_computations & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;feedback_messages_p1 & 0.2547 & 0.3802 & 0.2682 \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
blogged_computations;compendiums_reviewed & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;feedback_messages_p1 & 0.7676 & 0.7767 & 0.573 \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;feedback_messages_p1 & 0.984 & 0.9811 & 0.9389 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totsize
 & 0.7345 & 0.7899 & 0.5825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;totsize
 & 0.735 & 0.7907 & 0.5799 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156616&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;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;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;feedback_messages_p1[/C][C]0.7635[/C][C]0.7966[/C][C]0.5916[/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]compendium_views_pr;blogged_computations[/C][C]0.2289[/C][C]0.4173[/C][C]0.2892[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/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;feedback_messages_p1[/C][C]0.2547[/C][C]0.3802[/C][C]0.2682[/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]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;feedback_messages_p1[/C][C]0.7676[/C][C]0.7767[/C][C]0.573[/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;feedback_messages_p1[/C][C]0.984[/C][C]0.9811[/C][C]0.9389[/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]feedback_messages_p1;totsize
[/C][C]0.735[/C][C]0.7907[/C][C]0.5799[/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=156616&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156616&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
pair	Pearson r	Spearman rho	Kendall tau
time_in_rfc;compendium_views_pr	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
time_in_rfc;blogged_computations	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
time_in_rfc;compendiums_reviewed	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
time_in_rfc;feedback_messages_p1	0.7635	0.7966	0.5916
p-value	(0)	(0)	(0)
time_in_rfc;totsize	0.7462	0.8118	0.6171
p-value	(0)	(0)	(0)
compendium_views_pr;blogged_computations	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
compendium_views_pr;compendiums_reviewed	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
compendium_views_pr;feedback_messages_p1	0.2547	0.3802	0.2682
p-value	(0)	(0)	(0)
compendium_views_pr;totsize	0.2065	0.346	0.2382
p-value	(4e-04)	(0)	(0)
blogged_computations;compendiums_reviewed	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
blogged_computations;feedback_messages_p1	0.7676	0.7767	0.573
p-value	(0)	(0)	(0)
blogged_computations;totsize	0.7605	0.7962	0.6059
p-value	(0)	(0)	(0)
compendiums_reviewed;feedback_messages_p1	0.984	0.9811	0.9389
p-value	(0)	(0)	(0)
compendiums_reviewed;totsize	0.7345	0.7899	0.5825
p-value	(0)	(0)	(0)
feedback_messages_p1;totsize	0.735	0.7907	0.5799
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code