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Author's title

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

Sat, 17 Dec 2011 12:38:32 -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/17/t1324143669rlnpwypiv6eyazx.htm/, Retrieved Thu, 25 Apr 2024 22:19:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156518, Retrieved Thu, 25 Apr 2024 22:19:41 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

126

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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2011-12-17 17:38:32] [fc803cbaf0eb62e67cf40ee2236375c4] [Current]

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Dataseries X:

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Histogram

Boxplots

210907	115	112285	24188	146283	144
120982	109	84786	18273	98364	103
176508	146	83123	14130	86146	98
179321	116	101193	32287	96933	135
123185	68	38361	8654	79234	61
52746	101	68504	9245	42551	39
385534	96	119182	33251	195663	150
33170	67	22807	1271	6853	5
101645	44	17140	5279	21529	28
149061	100	116174	27101	95757	84
165446	93	57635	16373	85584	80
237213	140	66198	19716	143983	130
173326	166	71701	17753	75851	82
133131	99	57793	9028	59238	60
258873	139	80444	18653	93163	131
180083	130	53855	8828	96037	84
324799	181	97668	29498	151511	140
230964	116	133824	27563	136368	151
236785	116	101481	18293	112642	91
135473	88	99645	22530	94728	138
202925	139	114789	15977	105499	150
215147	135	99052	35082	121527	124
344297	108	67654	16116	127766	119
153935	89	65553	15849	98958	73
132943	156	97500	16026	77900	110
174724	129	69112	26569	85646	123
174415	118	82753	24785	98579	90
225548	118	85323	17569	130767	116
223632	125	72654	23825	131741	113
124817	95	30727	7869	53907	56
221698	126	77873	14975	178812	115
210767	135	117478	37791	146761	119
170266	154	74007	9605	82036	129
260561	165	90183	27295	163253	127
84853	113	61542	2746	27032	27
294424	127	101494	34461	171975	175
101011	52	27570	8098	65990	35
215641	121	55813	4787	86572	64
325107	136	79215	24919	159676	96
7176	0	1423	603	1929	0
167542	108	55461	16329	85371	84
106408	46	31081	12558	58391	41
96560	54	22996	7784	31580	47
265769	124	83122	28522	136815	126
269651	115	70106	22265	120642	105
149112	128	60578	14459	69107	80
175824	80	39992	14526	50495	70
152871	97	79892	22240	108016	73
111665	104	49810	11802	46341	57
116408	59	71570	7623	78348	40
362301	125	100708	11912	79336	68
78800	82	33032	7935	56968	21
183167	149	82875	18220	93176	127
277965	149	139077	19199	161632	154
150629	122	71595	19918	87850	116
168809	118	72260	21884	127969	102
24188	12	5950	2694	15049	7
329267	144	115762	15808	155135	148
65029	67	32551	3597	25109	21
101097	52	31701	5296	45824	35
218946	108	80670	25239	102996	112
244052	166	143558	29801	160604	137
341570	80	117105	18450	158051	135
103597	60	23789	7132	44547	26
233328	107	120733	34861	162647	230
256462	127	105195	35940	174141	181
206161	107	73107	16688	60622	71
311473	146	132068	24683	179566	147
235800	84	149193	46230	184301	190
177939	141	46821	10387	75661	64
207176	123	87011	21436	96144	105
196553	111	95260	30546	129847	107
174184	98	55183	19746	117286	94
143246	105	106671	15977	71180	116
187559	135	73511	22583	109377	106
187681	107	92945	17274	85298	143
119016	85	78664	16469	73631	81
182192	155	70054	14251	86767	89
73566	88	22618	3007	23824	26
194979	155	74011	16851	93487	84
167488	104	83737	21113	82981	113
143756	132	69094	17401	73815	120
275541	127	93133	23958	94552	110
243199	108	95536	23567	132190	134
182999	129	225920	13065	128754	54
135649	116	62133	15358	66363	96
152299	122	61370	14587	67808	78
120221	85	43836	12770	61724	51
346485	147	106117	24021	131722	121
145790	99	38692	9648	68580	38
193339	87	84651	20537	106175	145
80953	28	56622	7905	55792	59
122774	90	15986	4527	25157	27
130585	109	95364	30495	76669	91
112611	78	26706	7117	57283	48
286468	111	89691	17719	105805	68
241066	158	67267	27056	129484	58
148446	141	126846	33473	72413	150
204713	122	41140	9758	87831	74
182079	124	102860	21115	96971	181
140344	93	51715	7236	71299	65
220516	124	55801	13790	77494	97
243060	112	111813	32902	120336	121
162765	108	120293	25131	93913	99
182613	99	138599	30910	136048	152
232138	117	161647	35947	181248	188
265318	199	115929	29848	146123	138
85574	78	24266	6943	32036	40
310839	91	162901	42705	186646	254
225060	158	109825	31808	102255	87
232317	126	129838	26675	168237	178
144966	122	37510	8435	64219	51
43287	71	43750	7409	19630	49
155754	75	40652	14993	76825	73
164709	115	87771	36867	115338	176
201940	119	85872	33835	109427	94
235454	124	89275	24164	118168	120
220801	72	44418	12607	84845	66
99466	91	192565	22609	153197	56
92661	45	35232	5892	29877	39
133328	78	40909	17014	63506	66
61361	39	13294	5394	22445	27
125930	68	32387	9178	47695	65
100750	119	140867	6440	68370	58
224549	117	120662	21916	146304	98
82316	39	21233	4011	38233	25
102010	50	44332	5818	42071	26
101523	88	61056	18647	50517	77
243511	155	101338	20556	103950	130
22938	0	1168	238	5841	11
41566	36	13497	70	2341	2
152474	123	65567	22392	84396	101
61857	32	25162	3913	24610	31
99923	99	32334	12237	35753	36
132487	136	40735	8388	55515	120
317394	117	91413	22120	209056	195
21054	0	855	338	6622	4
209641	88	97068	11727	115814	89
22648	39	44339	3704	11609	24
31414	25	14116	3988	13155	39
46698	52	10288	3030	18274	14
131698	75	65622	13520	72875	78
91735	71	16563	1421	10112	15
244749	124	76643	20923	142775	106
184510	151	110681	20237	68847	83
79863	71	29011	3219	17659	24
128423	145	92696	3769	20112	37
97839	87	94785	12252	61023	77
38214	27	8773	1888	13983	16
151101	131	83209	14497	65176	56
272458	162	93815	28864	132432	132
172494	165	86687	21721	112494	144
108043	54	34553	4821	45109	40
328107	159	105547	33644	170875	153
250579	147	103487	15923	180759	143
351067	170	213688	42935	214921	220
158015	119	71220	18864	100226	79
98866	49	23517	4977	32043	50
85439	104	56926	7785	54454	39
229242	120	91721	17939	78876	95
351619	150	115168	23436	170745	169
84207	112	111194	325	6940	12
120445	59	51009	13539	49025	63
324598	136	135777	34538	122037	134
131069	107	51513	12198	53782	69
204271	130	74163	26924	127748	119
165543	115	51633	12716	86839	119
141722	107	75345	8172	44830	75
116048	75	33416	10855	77395	63
250047	71	83305	11932	89324	55
299775	120	98952	14300	103300	103
195838	116	102372	25515	112283	197
173260	79	37238	2805	10901	16
254488	150	103772	29402	120691	140
104389	156	123969	16440	58106	89
136084	51	27142	11221	57140	40
199476	118	135400	28732	122422	125
92499	71	21399	5250	25899	21
224330	144	130115	28608	139296	167
135781	47	24874	8092	52678	32
74408	28	34988	4473	23853	36
81240	68	45549	1572	17306	13
14688	0	6023	2065	7953	5
181633	110	64466	14817	89455	96
271856	147	54990	16714	147866	151
7199	0	1644	556	4245	6
46660	15	6179	2089	21509	13
17547	4	3926	2658	7670	3
133368	64	32755	10695	66675	57
95227	111	34777	1669	14336	23
152601	85	73224	16267	53608	61
98146	68	27114	7768	30059	21
79619	40	20760	7252	29668	43
59194	80	37636	6387	22097	20
139942	88	65461	18715	96841	82
118612	48	30080	7936	41907	90
72880	76	24094	8643	27080	25
65475	51	69008	7294	35885	60
99643	67	54968	4570	41247	61
71965	59	46090	7185	28313	85
77272	61	27507	10058	36845	43
49289	76	10672	2342	16548	25
135131	60	34029	8509	36134	41
108446	68	46300	13275	55764	26
89746	71	24760	6816	28910	38
44296	76	18779	1930	13339	12
77648	62	21280	8086	25319	29
181528	61	40662	10737	66956	49
134019	67	28987	8033	47487	46
124064	88	22827	7058	52785	41
92630	30	18513	6782	44683	31
121848	64	30594	5401	35619	41
52915	68	24006	6521	21920	26
81872	64	27913	10856	45608	23
58981	91	42744	2154	7721	14
53515	88	12934	6117	20634	16
60812	52	22574	5238	29788	25
56375	49	41385	4820	31931	21
65490	62	18653	5615	37754	32
80949	61	18472	4272	32505	9
76302	76	30976	8702	40557	35
104011	88	63339	15340	94238	42
98104	66	25568	8030	44197	68
67989	71	33747	9526	43228	32
30989	68	4154	1278	4103	6
135458	48	19474	4236	44144	68
73504	25	35130	3023	32868	33
63123	68	39067	7196	27640	84
61254	41	13310	3394	14063	46
74914	90	65892	6371	28990	30
31774	66	4143	1574	4694	0
81437	54	28579	9620	42648	36
87186	59	51776	6978	64329	47
50090	60	21152	4911	21928	20
65745	77	38084	8645	25836	50
56653	68	27717	8987	22779	30
158399	72	32928	5544	40820	30
46455	67	11342	3083	27530	34
73624	64	19499	6909	32378	33
38395	63	16380	3189	10824	34
91899	59	36874	6745	39613	37
139526	84	48259	16724	60865	83
52164	64	16734	4850	19787	32
51567	56	28207	7025	20107	30
70551	54	30143	6047	36605	43
84856	67	41369	7377	40961	41
102538	58	45833	9078	48231	51
86678	59	29156	4605	39725	19
85709	40	35944	3238	21455	37
34662	22	36278	8100	23430	33
150580	83	45588	9653	62991	41
99611	81	45097	8914	49363	54
19349	2	3895	786	9604	14
99373	72	28394	6700	24552	25
86230	61	18632	5788	31493	25
30837	15	2325	593	3439	8
31706	32	25139	4506	19555	26
89806	62	27975	6382	21228	20
62088	58	14483	5621	23177	11
40151	36	13127	3997	22094	14
27634	59	5839	520	2342	3
76990	68	24069	8891	38798	40
37460	21	3738	999	3255	5
54157	55	18625	7067	24261	38
49862	54	36341	4639	18511	32
84337	55	24548	5654	40798	41
64175	72	21792	6928	28893	46
59382	41	26263	1514	21425	47
119308	61	23686	9238	50276	37
76702	67	49303	8204	37643	51
103425	76	25659	5926	30377	49
70344	64	28904	5785	27126	21
43410	3	2781	4	13	1
104838	63	29236	5930	42097	44
62215	40	19546	3710	24451	26
69304	69	22818	705	14335	21
53117	48	32689	443	5084	4
19764	8	5752	2416	9927	10
86680	52	22197	7747	43527	43
84105	66	20055	5432	27184	34
77945	76	25272	4913	21610	32
89113	43	82206	2650	20484	20
91005	39	32073	2370	20156	34
40248	14	5444	775	6012	6
64187	61	20154	5576	18475	12
50857	71	36944	1352	12645	24
56613	44	8019	3080	11017	16
62792	60	30884	10205	37623	72
72535	64	19540	6095	35873	27

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	'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.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=156518&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]'AstonUniversity' @ aston.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=156518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156518&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	'AstonUniversity' @ aston.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	feedback_messages_p1	totsize	totrevisions	totseconds	tothyperlinks
time_in_rfc	1	0.592	0.617	0.639	0.755	0.667
feedback_messages_p1	0.592	1	0.58	0.555	0.554	0.556
totsize	0.617	0.58	1	0.649	0.657	0.655
totrevisions	0.639	0.555	0.649	1	0.75	0.716
totseconds	0.755	0.554	0.657	0.75	1	0.734
tothyperlinks	0.667	0.556	0.655	0.716	0.734	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & time_in_rfc & feedback_messages_p1 & totsize & totrevisions & totseconds & tothyperlinks
 \tabularnewline
time_in_rfc & 1 & 0.592 & 0.617 & 0.639 & 0.755 & 0.667 \tabularnewline
feedback_messages_p1 & 0.592 & 1 & 0.58 & 0.555 & 0.554 & 0.556 \tabularnewline
totsize & 0.617 & 0.58 & 1 & 0.649 & 0.657 & 0.655 \tabularnewline
totrevisions & 0.639 & 0.555 & 0.649 & 1 & 0.75 & 0.716 \tabularnewline
totseconds & 0.755 & 0.554 & 0.657 & 0.75 & 1 & 0.734 \tabularnewline
tothyperlinks
 & 0.667 & 0.556 & 0.655 & 0.716 & 0.734 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156518&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]feedback_messages_p1[/C][C]totsize[/C][C]totrevisions[/C][C]totseconds[/C][C]tothyperlinks
[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1[/C][C]0.592[/C][C]0.617[/C][C]0.639[/C][C]0.755[/C][C]0.667[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.592[/C][C]1[/C][C]0.58[/C][C]0.555[/C][C]0.554[/C][C]0.556[/C][/ROW]
[ROW][C]totsize[/C][C]0.617[/C][C]0.58[/C][C]1[/C][C]0.649[/C][C]0.657[/C][C]0.655[/C][/ROW]
[ROW][C]totrevisions[/C][C]0.639[/C][C]0.555[/C][C]0.649[/C][C]1[/C][C]0.75[/C][C]0.716[/C][/ROW]
[ROW][C]totseconds[/C][C]0.755[/C][C]0.554[/C][C]0.657[/C][C]0.75[/C][C]1[/C][C]0.734[/C][/ROW]
[ROW][C]tothyperlinks
[/C][C]0.667[/C][C]0.556[/C][C]0.655[/C][C]0.716[/C][C]0.734[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156518&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	feedback_messages_p1	totsize	totrevisions	totseconds	tothyperlinks
time_in_rfc	1	0.592	0.617	0.639	0.755	0.667
feedback_messages_p1	0.592	1	0.58	0.555	0.554	0.556
totsize	0.617	0.58	1	0.649	0.657	0.655
totrevisions	0.639	0.555	0.649	1	0.75	0.716
totseconds	0.755	0.554	0.657	0.75	1	0.734
tothyperlinks	0.667	0.556	0.655	0.716	0.734	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
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)
time_in_rfc;totrevisions	0.7827	0.841	0.639
p-value	(0)	(0)	(0)
time_in_rfc;totseconds	0.8949	0.9175	0.7548
p-value	(0)	(0)	(0)
time_in_rfc;tothyperlinks	0.8164	0.8588	0.6675
p-value	(0)	(0)	(0)
feedback_messages_p1;totsize	0.735	0.7907	0.5799
p-value	(0)	(0)	(0)
feedback_messages_p1;totrevisions	0.7066	0.756	0.5551
p-value	(0)	(0)	(0)
feedback_messages_p1;totseconds	0.7349	0.7654	0.5545
p-value	(0)	(0)	(0)
feedback_messages_p1;tothyperlinks	0.7251	0.7621	0.5562
p-value	(0)	(0)	(0)
totsize;totrevisions	0.8078	0.8289	0.6491
p-value	(0)	(0)	(0)
totsize;totseconds	0.8232	0.8415	0.6567
p-value	(0)	(0)	(0)
totsize;tothyperlinks	0.7978	0.8384	0.6548
p-value	(0)	(0)	(0)
totrevisions;totseconds	0.8746	0.9185	0.7495
p-value	(0)	(0)	(0)
totrevisions;tothyperlinks	0.8746	0.8939	0.7162
p-value	(0)	(0)	(0)
totseconds;tothyperlinks	0.8869	0.9032	0.7339
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;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
time_in_rfc;totrevisions & 0.7827 & 0.841 & 0.639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totseconds & 0.8949 & 0.9175 & 0.7548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;tothyperlinks
 & 0.8164 & 0.8588 & 0.6675 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;totsize & 0.735 & 0.7907 & 0.5799 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;totrevisions & 0.7066 & 0.756 & 0.5551 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;totseconds & 0.7349 & 0.7654 & 0.5545 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
feedback_messages_p1;tothyperlinks
 & 0.7251 & 0.7621 & 0.5562 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totrevisions & 0.8078 & 0.8289 & 0.6491 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totseconds & 0.8232 & 0.8415 & 0.6567 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;tothyperlinks
 & 0.7978 & 0.8384 & 0.6548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;totseconds & 0.8746 & 0.9185 & 0.7495 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;tothyperlinks
 & 0.8746 & 0.8939 & 0.7162 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;tothyperlinks
 & 0.8869 & 0.9032 & 0.7339 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156518&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;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]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]time_in_rfc;totseconds[/C][C]0.8949[/C][C]0.9175[/C][C]0.7548[/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]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]
[ROW][C]feedback_messages_p1;totrevisions[/C][C]0.7066[/C][C]0.756[/C][C]0.5551[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;totseconds[/C][C]0.7349[/C][C]0.7654[/C][C]0.5545[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]feedback_messages_p1;tothyperlinks
[/C][C]0.7251[/C][C]0.7621[/C][C]0.5562[/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]
[ROW][C]totsize;totseconds[/C][C]0.8232[/C][C]0.8415[/C][C]0.6567[/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]
[ROW][C]totrevisions;totseconds[/C][C]0.8746[/C][C]0.9185[/C][C]0.7495[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;tothyperlinks
[/C][C]0.8746[/C][C]0.8939[/C][C]0.7162[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;tothyperlinks
[/C][C]0.8869[/C][C]0.9032[/C][C]0.7339[/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=156518&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156518&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;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)
time_in_rfc;totrevisions	0.7827	0.841	0.639
p-value	(0)	(0)	(0)
time_in_rfc;totseconds	0.8949	0.9175	0.7548
p-value	(0)	(0)	(0)
time_in_rfc;tothyperlinks	0.8164	0.8588	0.6675
p-value	(0)	(0)	(0)
feedback_messages_p1;totsize	0.735	0.7907	0.5799
p-value	(0)	(0)	(0)
feedback_messages_p1;totrevisions	0.7066	0.756	0.5551
p-value	(0)	(0)	(0)
feedback_messages_p1;totseconds	0.7349	0.7654	0.5545
p-value	(0)	(0)	(0)
feedback_messages_p1;tothyperlinks	0.7251	0.7621	0.5562
p-value	(0)	(0)	(0)
totsize;totrevisions	0.8078	0.8289	0.6491
p-value	(0)	(0)	(0)
totsize;totseconds	0.8232	0.8415	0.6567
p-value	(0)	(0)	(0)
totsize;tothyperlinks	0.7978	0.8384	0.6548
p-value	(0)	(0)	(0)
totrevisions;totseconds	0.8746	0.9185	0.7495
p-value	(0)	(0)	(0)
totrevisions;tothyperlinks	0.8746	0.8939	0.7162
p-value	(0)	(0)	(0)
totseconds;tothyperlinks	0.8869	0.9032	0.7339
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