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Author

*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

Thu, 06 Dec 2012 10:57:13 -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/2012/Dec/06/t13548094466ravxaepc6co96f.htm/, Retrieved Sat, 20 Apr 2024 16:06:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197153, Retrieved Sat, 20 Apr 2024 16:06:52 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

101

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] [] [2012-12-06 15:36:47] [bbed103f50d9b60ea97669d7e6947a11]
-   P       [Kendall tau Correlation Matrix] [] [2012-12-06 15:57:13] [195a7509fef65339447329cdcf8835cc] [Current]

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Dataseries X:

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Histogram

Boxplots

56	396	81	3	79	30	115
56	297	55	4	58	28	109
54	559	50	12	60	38	146
89	967	125	2	108	30	116
40	270	40	1	49	22	68
25	143	37	3	0	26	101
92	1562	63	0	121	25	96
18	109	44	0	1	18	67
63	371	88	0	20	11	44
44	656	66	5	43	26	100
33	511	57	0	69	25	93
84	655	74	0	78	38	140
88	465	49	7	86	44	166
55	525	52	7	44	30	99
60	885	88	3	104	40	139
66	497	36	9	63	34	130
154	1436	108	0	158	47	181
53	612	43	4	102	30	116
119	865	75	3	77	31	116
41	385	32	0	82	23	88
61	567	44	7	115	36	139
58	639	85	0	101	36	135
75	963	86	1	80	30	108
33	398	56	5	50	25	89
40	410	50	7	83	39	156
92	966	135	0	123	34	129
100	801	63	0	73	31	118
112	892	81	5	81	31	118
73	513	52	0	105	33	125
40	469	44	0	47	25	95
45	683	113	0	105	33	126
60	643	39	3	94	35	135
62	535	73	4	44	42	154
75	625	48	1	114	43	165
31	264	33	4	38	30	113
77	992	59	2	107	33	127
34	238	41	0	30	13	52
46	818	69	0	71	32	121
99	937	64	0	84	36	136
17	70	1	0	0	0	0
66	507	59	2	59	28	108
30	260	32	1	33	14	46
76	503	129	0	42	17	54
146	927	37	2	96	32	124
67	1269	31	10	106	30	115
56	537	65	6	56	35	128
107	910	107	0	57	20	80
58	532	74	5	59	28	97
34	345	54	4	39	28	104
61	918	76	1	34	39	59
119	1635	715	2	76	34	125
42	330	57	2	20	26	82
66	557	66	0	91	39	149
89	1178	106	8	115	39	149
44	740	54	3	85	33	122
66	452	32	0	76	28	118
24	218	20	0	8	4	12
259	764	71	8	79	39	144
17	255	21	5	21	18	67
64	454	70	3	30	14	52
41	866	112	1	76	29	108
68	574	66	5	101	44	166
168	1276	190	1	94	21	80
43	379	66	1	27	16	60
132	825	165	5	92	28	107
105	798	56	0	123	35	127
71	663	61	12	75	28	107
112	1069	53	8	128	38	146
94	921	127	8	105	23	84
82	858	63	8	55	36	141
70	711	38	8	56	32	123
57	503	50	2	41	29	111
53	382	52	0	72	25	98
103	464	42	5	67	27	105
121	717	76	8	75	36	135
62	690	67	2	114	28	107
52	462	50	5	118	23	85
52	657	53	12	77	40	155
32	385	39	6	22	23	88
62	577	50	7	66	40	155
45	619	77	2	69	28	104
46	479	57	0	105	34	132
63	817	73	4	116	33	127
75	752	34	3	88	28	108
88	430	39	6	73	34	129
46	451	46	2	99	30	116
53	537	63	0	62	33	122
37	519	35	1	53	22	85
90	1000	106	0	118	38	147
63	637	43	5	30	26	99
78	465	47	2	100	35	87
25	437	31	0	49	8	28
45	711	162	0	24	24	90
46	299	57	5	67	29	109
41	248	36	0	46	20	78
144	1162	263	1	57	29	111
82	714	78	0	75	45	158
91	905	63	1	135	37	141
71	649	54	1	68	33	122
63	512	63	2	124	33	124
53	472	77	6	33	25	93
62	905	79	1	98	32	124
63	786	110	4	58	29	112
32	489	56	2	68	28	108
39	479	56	3	81	28	99
62	617	43	0	131	31	117
117	925	111	10	110	52	199
34	351	71	0	37	21	78
92	1144	62	9	130	24	91
93	669	56	7	93	41	158
54	707	74	0	118	33	126
144	458	60	0	39	32	122
14	214	43	4	13	19	71
61	599	68	4	74	20	75
109	572	53	0	81	31	115
38	897	87	0	109	31	119
73	819	46	0	151	32	124
75	720	105	1	51	18	72
50	273	32	0	28	23	91
61	508	133	1	40	17	45
55	506	79	0	56	20	78
77	451	51	0	27	12	39
75	699	207	4	37	17	68
72	407	67	0	83	30	119
50	465	47	4	54	31	117
32	245	34	4	27	10	39
53	370	66	3	28	13	50
42	316	76	0	59	22	88
71	603	65	0	133	42	155
10	154	9	0	12	1	0
35	229	42	5	0	9	36
65	577	45	0	106	32	123
25	192	25	4	23	11	32
66	617	115	0	44	25	99
41	411	97	0	71	36	136
86	975	53	1	116	31	117
16	146	2	0	4	0	0
42	705	52	5	62	24	88
19	184	44	0	12	13	39
19	200	22	0	18	8	25
45	274	35	0	14	13	52
65	502	74	0	60	19	75
35	382	103	0	7	18	71
95	964	144	2	98	33	124
49	537	60	7	64	40	151
37	438	134	1	29	22	71
64	369	89	8	32	38	145
38	417	42	2	25	24	87
34	276	52	0	16	8	27
32	514	98	2	48	35	131
65	822	99	0	100	43	162
52	389	52	0	46	43	165
62	466	29	1	45	14	54
65	1255	125	3	129	41	159
83	694	106	0	130	38	147
95	1024	95	3	136	45	170
29	400	40	0	59	31	119
18	397	140	0	25	13	49
33	350	43	0	32	28	104
247	719	128	4	63	31	120
139	1277	142	4	95	40	150
29	356	73	11	14	30	112
118	457	72	0	36	16	59
110	1402	128	0	113	37	136
67	600	61	4	47	30	107
42	480	73	0	92	35	130
65	595	148	1	70	32	115
94	436	64	0	19	27	107
64	230	45	0	50	20	75
81	651	58	0	41	18	71
95	1367	97	9	91	31	120
67	564	50	1	111	31	116
63	716	37	3	41	21	79
83	747	50	10	120	39	150
45	467	105	5	135	41	156
30	671	69	0	27	13	51
70	861	46	2	87	32	118
32	319	57	0	25	18	71
83	612	52	1	131	39	144
31	433	98	2	45	14	47
67	434	61	4	29	7	28
66	503	89	0	58	17	68
10	85	0	0	4	0	0
70	564	48	2	47	30	110
103	824	91	1	109	37	147
5	74	0	0	7	0	0
20	259	7	0	12	5	15
5	69	3	0	0	1	4
36	535	54	1	37	16	64
34	239	70	0	37	32	111
48	438	36	2	46	24	85
40	459	37	0	15	17	68
43	426	123	3	42	11	40
31	288	247	6	7	24	80
42	498	46	0	54	22	88
46	454	72	2	54	12	48
33	376	41	0	14	19	76
18	225	24	2	16	13	51
55	555	45	1	33	17	67
35	252	33	1	32	15	59
59	208	27	2	21	16	61
19	130	36	1	15	24	76
66	481	87	0	38	15	60
60	389	90	1	22	17	68
36	565	114	3	28	18	71
25	173	31	0	10	20	76
47	278	45	0	31	16	62
54	609	69	0	32	16	61
53	422	51	0	32	18	67
40	445	34	1	43	22	88
40	387	60	4	27	8	30
39	339	45	0	37	17	64
14	181	54	0	20	18	68
45	245	25	0	32	16	64
36	384	38	7	0	23	91
28	212	52	2	5	22	88
44	399	67	0	26	13	52
30	229	74	7	10	13	49
22	224	38	3	27	16	62
17	203	30	0	11	16	61
31	333	26	0	29	20	76
55	384	67	6	25	22	88
54	636	132	2	55	17	66
21	185	42	0	23	18	71
14	93	35	0	5	17	68
81	581	118	3	43	12	48
35	248	68	0	23	7	25
43	304	43	1	34	17	68
46	344	76	1	36	14	41
30	407	64	0	35	23	90
23	170	48	1	0	17	66
38	312	64	0	37	14	54
54	507	56	0	28	15	59
20	224	71	0	16	17	60
53	340	75	0	26	21	77
45	168	39	0	38	18	68
39	443	42	0	23	18	72
20	204	39	0	22	17	67
24	367	93	0	30	17	64
31	210	38	0	16	16	63
35	335	60	0	18	15	59
151	364	71	0	28	21	84
52	178	52	0	32	16	64
30	206	27	2	21	14	56
31	279	59	0	23	15	54
29	387	40	1	29	17	67
57	490	79	1	50	15	58
40	238	44	0	12	15	59
44	343	65	0	21	10	40
25	232	10	0	18	6	22
77	530	124	0	27	22	83
35	291	81	0	41	21	81
11	67	15	0	13	1	2
63	397	92	1	12	18	72
44	467	42	0	21	17	61
19	178	10	0	8	4	15
13	175	24	0	26	10	32
42	299	64	0	27	16	62
38	154	45	1	13	16	58
29	106	22	0	16	9	36
20	189	56	0	2	16	59
27	194	94	0	42	17	68
20	135	19	0	5	7	21
19	201	35	0	37	15	55
37	207	32	0	17	14	54
26	280	35	0	38	14	55
42	260	48	0	37	18	72
49	227	49	0	29	12	41
30	239	48	0	32	16	61
49	333	62	0	35	21	67
67	428	96	1	17	19	76
28	230	45	0	20	16	64
19	292	63	0	7	1	3
49	350	71	1	46	16	63
27	186	26	0	24	10	40
30	326	48	6	40	19	69
22	155	29	3	3	12	48
12	75	19	1	10	2	8
31	361	45	2	37	14	52
20	261	45	0	17	17	66
20	299	67	0	28	19	76
39	300	30	0	19	14	43
29	450	36	3	29	11	39
16	183	34	1	8	4	14
27	238	36	0	10	16	61
21	165	34	0	15	20	71
19	234	37	1	15	12	44
35	176	46	0	28	15	60
14	329	44	0	17	16	64

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197153&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]5 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=197153&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197153&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	5 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Correlations for all pairs of data series (method=kendall)
	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	compendiums_reviewed	feedback_messages_p1
logins	1	0.614	0.379	0.208	0.523	0.453	0.449
compendium_views_info	0.614	1	0.421	0.248	0.604	0.502	0.494
compendium_views_pr	0.379	0.421	1	0.094	0.289	0.282	0.268
shared_compendiums	0.208	0.248	0.094	1	0.207	0.262	0.254
blogged_computations	0.523	0.604	0.289	0.207	1	0.574	0.573
compendiums_reviewed	0.453	0.502	0.282	0.262	0.574	1	0.939
feedback_messages_p1	0.449	0.494	0.268	0.254	0.573	0.939	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & logins & compendium_views_info & compendium_views_pr & shared_compendiums & blogged_computations & compendiums_reviewed & feedback_messages_p1 \tabularnewline
logins & 1 & 0.614 & 0.379 & 0.208 & 0.523 & 0.453 & 0.449 \tabularnewline
compendium_views_info & 0.614 & 1 & 0.421 & 0.248 & 0.604 & 0.502 & 0.494 \tabularnewline
compendium_views_pr & 0.379 & 0.421 & 1 & 0.094 & 0.289 & 0.282 & 0.268 \tabularnewline
shared_compendiums & 0.208 & 0.248 & 0.094 & 1 & 0.207 & 0.262 & 0.254 \tabularnewline
blogged_computations & 0.523 & 0.604 & 0.289 & 0.207 & 1 & 0.574 & 0.573 \tabularnewline
compendiums_reviewed & 0.453 & 0.502 & 0.282 & 0.262 & 0.574 & 1 & 0.939 \tabularnewline
feedback_messages_p1 & 0.449 & 0.494 & 0.268 & 0.254 & 0.573 & 0.939 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197153&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]shared_compendiums[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]feedback_messages_p1[/C][/ROW]
[ROW][C]logins[/C][C]1[/C][C]0.614[/C][C]0.379[/C][C]0.208[/C][C]0.523[/C][C]0.453[/C][C]0.449[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.614[/C][C]1[/C][C]0.421[/C][C]0.248[/C][C]0.604[/C][C]0.502[/C][C]0.494[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.379[/C][C]0.421[/C][C]1[/C][C]0.094[/C][C]0.289[/C][C]0.282[/C][C]0.268[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.208[/C][C]0.248[/C][C]0.094[/C][C]1[/C][C]0.207[/C][C]0.262[/C][C]0.254[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.523[/C][C]0.604[/C][C]0.289[/C][C]0.207[/C][C]1[/C][C]0.574[/C][C]0.573[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.453[/C][C]0.502[/C][C]0.282[/C][C]0.262[/C][C]0.574[/C][C]1[/C][C]0.939[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.449[/C][C]0.494[/C][C]0.268[/C][C]0.254[/C][C]0.573[/C][C]0.939[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197153&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197153&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)
	logins	compendium_views_info	compendium_views_pr	shared_compendiums	blogged_computations	compendiums_reviewed	feedback_messages_p1
logins	1	0.614	0.379	0.208	0.523	0.453	0.449
compendium_views_info	0.614	1	0.421	0.248	0.604	0.502	0.494
compendium_views_pr	0.379	0.421	1	0.094	0.289	0.282	0.268
shared_compendiums	0.208	0.248	0.094	1	0.207	0.262	0.254
blogged_computations	0.523	0.604	0.289	0.207	1	0.574	0.573
compendiums_reviewed	0.453	0.502	0.282	0.262	0.574	1	0.939
feedback_messages_p1	0.449	0.494	0.268	0.254	0.573	0.939	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
logins;compendium_views_info	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
logins;shared_compendiums	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;blogged_computations	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;feedback_messages_p1	0.5526	0.6288	0.4486
p-value	(0)	(0)	(0)
compendium_views_info;compendium_views_pr	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)
compendium_views_info;shared_compendiums	0.2821	0.3355	0.2476
p-value	(0)	(0)	(0)
compendium_views_info;blogged_computations	0.7489	0.8051	0.6045
p-value	(0)	(0)	(0)
compendium_views_info;compendiums_reviewed	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
compendium_views_info;feedback_messages_p1	0.6325	0.693	0.4942
p-value	(0)	(0)	(0)
compendium_views_pr;shared_compendiums	0.0639	0.1263	0.094
p-value	(0.2787)	(0.0319)	(0.0308)
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)
shared_compendiums;blogged_computations	0.238	0.2759	0.2074
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;feedback_messages_p1	0.393	0.3414	0.2537
p-value	(0)	(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)
compendiums_reviewed;feedback_messages_p1	0.984	0.9811	0.9389
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
logins;compendium_views_info & 0.6919 & 0.8018 & 0.6142 \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;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;feedback_messages_p1 & 0.5526 & 0.6288 & 0.4486 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_views_pr & 0.5186 & 0.5849 & 0.4206 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;shared_compendiums & 0.2821 & 0.3355 & 0.2476 \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;compendiums_reviewed & 0.6377 & 0.6987 & 0.5025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;feedback_messages_p1 & 0.6325 & 0.693 & 0.4942 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;shared_compendiums & 0.0639 & 0.1263 & 0.094 \tabularnewline
p-value & (0.2787) & (0.0319) & (0.0308) \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
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;feedback_messages_p1 & 0.393 & 0.3414 & 0.2537 \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;feedback_messages_p1 & 0.7676 & 0.7767 & 0.573 \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197153&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]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;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;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;feedback_messages_p1[/C][C]0.5526[/C][C]0.6288[/C][C]0.4486[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/C][C]0.5186[/C][C]0.5849[/C][C]0.4206[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;shared_compendiums[/C][C]0.2821[/C][C]0.3355[/C][C]0.2476[/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;compendiums_reviewed[/C][C]0.6377[/C][C]0.6987[/C][C]0.5025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;feedback_messages_p1[/C][C]0.6325[/C][C]0.693[/C][C]0.4942[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;shared_compendiums[/C][C]0.0639[/C][C]0.1263[/C][C]0.094[/C][/ROW]
[ROW][C]p-value[/C][C](0.2787)[/C][C](0.0319)[/C][C](0.0308)[/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]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;feedback_messages_p1[/C][C]0.393[/C][C]0.3414[/C][C]0.2537[/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;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]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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197153&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197153&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
logins;compendium_views_info	0.6919	0.8018	0.6142
p-value	(0)	(0)	(0)
logins;compendium_views_pr	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
logins;shared_compendiums	0.2505	0.2795	0.2078
p-value	(0)	(0)	(0)
logins;blogged_computations	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
logins;compendiums_reviewed	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
logins;feedback_messages_p1	0.5526	0.6288	0.4486
p-value	(0)	(0)	(0)
compendium_views_info;compendium_views_pr	0.5186	0.5849	0.4206
p-value	(0)	(0)	(0)
compendium_views_info;shared_compendiums	0.2821	0.3355	0.2476
p-value	(0)	(0)	(0)
compendium_views_info;blogged_computations	0.7489	0.8051	0.6045
p-value	(0)	(0)	(0)
compendium_views_info;compendiums_reviewed	0.6377	0.6987	0.5025
p-value	(0)	(0)	(0)
compendium_views_info;feedback_messages_p1	0.6325	0.693	0.4942
p-value	(0)	(0)	(0)
compendium_views_pr;shared_compendiums	0.0639	0.1263	0.094
p-value	(0.2787)	(0.0319)	(0.0308)
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)
shared_compendiums;blogged_computations	0.238	0.2759	0.2074
p-value	(0)	(0)	(0)
shared_compendiums;compendiums_reviewed	0.3895	0.3511	0.2616
p-value	(0)	(0)	(0)
shared_compendiums;feedback_messages_p1	0.393	0.3414	0.2537
p-value	(0)	(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)
compendiums_reviewed;feedback_messages_p1	0.984	0.9811	0.9389
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