Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 09 Dec 2011 08:14:30 -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/09/t1323436485s0cq4vhqgt4yfwn.htm/, Retrieved Thu, 02 May 2024 16:17:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153335, Retrieved Thu, 02 May 2024 16:17:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
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] [] [2011-12-09 13:14:30] [70041e5e9044b1d424b6896a10522877] [Current]
Feedback Forum

Post a new message
Dataseries X:
252101	3	92	34	131	124252	25695	147	148
134577	4	58	30	117	98956	19967	126	124
198520	14	62	38	146	98073	14338	108	108
189326	2	108	34	132	106816	34117	145	142
137449	1	55	25	80	41449	9713	68	66
65295	3	8	31	117	76173	10024	49	47
439387	0	134	29	112	177551	39981	171	163
33186	0	1	18	67	22807	1271	5	5
178368	5	64	30	116	126938	30207	106	106
186657	0	77	29	107	61680	18035	88	87
261949	0	86	38	140	72117	21609	145	141
191088	7	93	50	190	79738	19836	93	88
138866	7	44	33	109	57793	9028	60	60
296878	3	106	46	159	91677	21750	145	145
192648	9	63	38	146	64631	10038	95	95
333462	0	160	52	201	106385	30276	144	137
243571	4	104	32	124	161961	34972	179	177
263451	3	86	35	131	112669	19954	102	102
155679	3	93	25	96	114029	28113	157	151
227053	7	119	42	163	124550	18830	170	156
240028	0	107	40	151	105416	37144	140	140
388549	1	86	35	128	72875	17916	133	130
156540	5	50	25	89	81964	16186	74	71
148421	9	92	46	184	104880	19195	120	116
177732	0	123	36	136	76302	29124	134	129
191441	0	81	35	134	96740	29813	108	107
249893	5	93	38	146	93071	20270	132	128
236812	0	113	35	130	78912	26105	125	119
142329	0	52	28	105	35224	9155	66	62
259667	0	113	37	142	90694	18113	130	124
231625	3	112	40	155	125369	40546	143	140
176062	4	44	42	154	80849	10096	150	144
286683	1	123	44	169	104434	32338	152	150
87485	4	38	33	125	65702	2871	28	28
322865	2	111	35	135	108179	36592	190	177
247082	0	77	37	139	63583	4914	73	73
346011	0	92	39	145	95066	30190	115	111
191653	2	74	32	124	62486	18153	101	98
114673	1	33	17	55	31081	12558	41	41
284224	2	105	34	131	94584	32894	147	139
284195	10	108	33	125	87408	24138	107	107
155363	6	66	35	128	68966	16628	103	102
177306	5	69	32	107	88766	26369	84	80
144571	5	62	35	130	57139	14171	68	66
140319	1	50	45	73	90586	8500	52	51
405267	2	91	38	138	109249	11940	70	69
78800	2	20	26	82	33032	7935	21	21
201970	0	101	45	173	96056	19456	155	155
302674	9	129	44	169	146648	21347	165	163
164733	3	93	40	145	80613	24095	124	121
194221	0	89	33	134	87026	26204	121	118
24188	0	8	4	12	5950	2694	7	7
346142	8	80	41	151	131106	20366	161	154
65029	5	21	18	67	32551	3597	21	21
101097	3	30	14	52	31701	5296	35	35
246088	1	86	33	121	91072	29463	125	122
273108	5	116	49	186	159803	35838	157	152
282220	5	106	32	120	143950	42590	256	255
275505	0	127	37	135	112368	38665	192	177
214872	12	75	32	123	82124	19442	86	83
335121	9	138	41	158	144068	25515	164	164
267171	11	114	25	90	162627	51318	213	202
189637	9	55	42	165	55062	11807	80	77
229512	8	67	35	135	95329	24130	122	118
209798	2	45	33	125	105612	34053	122	123
201345	0	88	28	110	62853	22641	113	109
163833	6	67	31	121	125976	18898	128	126
204250	8	75	40	151	79146	24539	117	114
197813	2	114	32	123	108461	21664	162	161
132955	5	123	25	92	99971	21577	87	85
216092	13	86	42	162	77826	16643	103	101
73566	6	22	23	88	22618	3007	26	25
213198	7	67	42	163	84892	18798	104	102
181713	2	77	38	133	92059	24648	127	126
148698	0	105	34	132	77993	20286	132	130
300103	4	119	38	144	104155	23999	112	112
251437	3	88	32	124	109840	26813	155	150
197295	6	78	37	140	238712	14718	57	54
158163	2	112	34	132	67486	16963	109	106
155529	0	66	33	122	68007	16673	92	90
132672	1	58	25	97	48194	14646	57	55
377205	0	132	40	155	134796	31772	145	139
145905	5	30	26	99	38692	9648	38	38
223701	2	100	40	106	93587	23096	152	148
80953	0	49	8	28	56622	7905	59	58
130805	0	26	27	101	15986	4527	27	27
135082	5	67	32	120	113402	37432	104	104
305270	1	57	33	127	97967	21082	80	75
271806	0	95	50	178	74844	30437	76	73
150949	1	139	37	141	136051	36288	163	157
225805	1	73	33	122	50548	12369	89	87
197389	2	134	34	127	112215	23774	199	186
156583	6	37	28	102	59591	8108	89	88
222599	1	98	32	124	59938	15049	107	107
261601	4	58	32	124	137639	36021	137	131
178489	3	78	32	124	143372	30391	123	123
200657	3	88	31	111	138599	30910	152	149
259244	0	142	35	129	174110	40656	202	201
313075	11	127	58	223	135062	35070	159	145
346933	12	139	27	102	175681	47250	282	273
246440	8	108	45	174	130307	36236	111	111
252444	0	128	37	141	139141	29601	197	195
159965	0	62	32	122	44244	10443	72	69
43287	4	13	19	71	43750	7409	49	49
172239	4	89	22	81	48029	18213	82	82
185198	0	83	35	131	95216	40856	192	193
227681	0	116	36	139	92288	36471	102	102
260464	0	157	36	137	94588	26077	127	124
106288	0	28	23	91	197426	24797	60	59
109632	0	83	36	142	151244	6816	61	61
268905	4	72	36	133	139206	25527	106	102
266805	0	134	42	155	106271	22139	139	138
23623	0	12	1	0	1168	238	11	11
152474	0	106	32	123	71764	24459	114	114
61857	4	23	11	32	25162	3913	31	28
144889	0	83	40	149	45635	9895	132	101
346600	1	126	34	128	101817	25902	210	208
21054	0	4	0	0	855	338	4	4
224051	5	71	27	99	100174	12937	98	93
31414	0	18	8	25	14116	3988	39	39
261043	2	98	35	132	85008	23370	119	114
206108	7	66	44	167	124254	24015	107	104
154984	12	44	40	151	105793	3870	41	40
112933	2	29	28	103	117129	14648	97	94
38214	0	16	8	27	8773	1888	16	16
158671	2	56	35	131	94747	16768	65	64
302148	0	112	47	178	107549	33400	156	154
177918	0	46	46	177	97392	23770	158	145
350552	3	129	42	163	126893	34762	160	150
275578	0	139	48	187	118850	18793	161	156
368746	3	136	49	182	234853	48186	238	229
172464	0	66	35	135	74783	20140	85	84
94381	0	42	32	118	66089	8728	50	49
244295	4	70	36	140	95684	19060	106	101
382487	4	97	42	158	139537	26880	184	179
114525	14	49	35	132	144253	415	15	15
345884	0	113	42	156	153824	38902	155	154
147989	4	55	34	123	63995	17375	90	90
216638	0	100	36	134	84891	31360	133	133
192862	1	80	36	129	61263	15051	136	133
184818	0	29	32	125	106221	16785	109	97
336707	9	95	33	128	113587	15886	118	116
215836	1	114	35	129	113864	28548	222	221
173260	3	41	21	79	37238	2805	16	15
271773	10	128	40	154	119906	34012	162	157
130908	5	142	49	188	135096	19215	108	105
204009	2	88	33	122	151611	34177	153	150
245514	1	147	39	144	144645	32990	181	177
1	9	0	0	0	0	0	0	0
14688	0	4	0	0	6023	2065	5	5
98	0	0	0	0	0	0	0	0
455	0	0	0	0	0	0	0	0
0	1	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0
195765	2	56	33	120	77457	17428	113	111
326038	1	121	42	168	62464	19912	165	165
0	0	0	0	0	0	0	0	0
203	0	0	0	0	0	0	0	0
7199	0	7	0	0	1644	556	6	6
46660	0	12	5	15	6179	2089	13	13
17547	0	0	1	4	3926	2658	3	3
107465	0	37	38	133	42087	1801	33	33
969	0	0	0	0	0	0	0	0
173102	2	47	28	101	87656	16541	67	63




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153335&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153335&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153335&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'Gertrude Mary Cox' @ cox.wessa.net







Correlations for all pairs of data series (method=pearson)
TimeSharedBloggedReviewedFeedback_messagesCharactersRevisionsHyperlinksBlogs
Time10.1640.8030.740.7460.6940.7260.7790.778
Shared0.16410.0890.2490.2660.280.0790.120.12
Blogged0.8030.08910.7350.7490.70.780.840.84
Reviewed0.740.2490.73510.9810.670.5980.6650.662
Feedback_messages0.7460.2660.7490.98110.6780.6130.6770.674
Characters0.6940.280.70.670.67810.7640.7390.74
Revisions0.7260.0790.780.5980.6130.76410.8560.858
Hyperlinks0.7790.120.840.6650.6770.7390.85610.998
Blogs0.7780.120.840.6620.6740.740.8580.9981

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Time & Shared & Blogged & Reviewed & Feedback_messages & Characters & Revisions & Hyperlinks & Blogs \tabularnewline
Time & 1 & 0.164 & 0.803 & 0.74 & 0.746 & 0.694 & 0.726 & 0.779 & 0.778 \tabularnewline
Shared & 0.164 & 1 & 0.089 & 0.249 & 0.266 & 0.28 & 0.079 & 0.12 & 0.12 \tabularnewline
Blogged & 0.803 & 0.089 & 1 & 0.735 & 0.749 & 0.7 & 0.78 & 0.84 & 0.84 \tabularnewline
Reviewed & 0.74 & 0.249 & 0.735 & 1 & 0.981 & 0.67 & 0.598 & 0.665 & 0.662 \tabularnewline
Feedback_messages & 0.746 & 0.266 & 0.749 & 0.981 & 1 & 0.678 & 0.613 & 0.677 & 0.674 \tabularnewline
Characters & 0.694 & 0.28 & 0.7 & 0.67 & 0.678 & 1 & 0.764 & 0.739 & 0.74 \tabularnewline
Revisions & 0.726 & 0.079 & 0.78 & 0.598 & 0.613 & 0.764 & 1 & 0.856 & 0.858 \tabularnewline
Hyperlinks & 0.779 & 0.12 & 0.84 & 0.665 & 0.677 & 0.739 & 0.856 & 1 & 0.998 \tabularnewline
Blogs & 0.778 & 0.12 & 0.84 & 0.662 & 0.674 & 0.74 & 0.858 & 0.998 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153335&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Time[/C][C]Shared[/C][C]Blogged[/C][C]Reviewed[/C][C]Feedback_messages[/C][C]Characters[/C][C]Revisions[/C][C]Hyperlinks[/C][C]Blogs[/C][/ROW]
[ROW][C]Time[/C][C]1[/C][C]0.164[/C][C]0.803[/C][C]0.74[/C][C]0.746[/C][C]0.694[/C][C]0.726[/C][C]0.779[/C][C]0.778[/C][/ROW]
[ROW][C]Shared[/C][C]0.164[/C][C]1[/C][C]0.089[/C][C]0.249[/C][C]0.266[/C][C]0.28[/C][C]0.079[/C][C]0.12[/C][C]0.12[/C][/ROW]
[ROW][C]Blogged[/C][C]0.803[/C][C]0.089[/C][C]1[/C][C]0.735[/C][C]0.749[/C][C]0.7[/C][C]0.78[/C][C]0.84[/C][C]0.84[/C][/ROW]
[ROW][C]Reviewed[/C][C]0.74[/C][C]0.249[/C][C]0.735[/C][C]1[/C][C]0.981[/C][C]0.67[/C][C]0.598[/C][C]0.665[/C][C]0.662[/C][/ROW]
[ROW][C]Feedback_messages[/C][C]0.746[/C][C]0.266[/C][C]0.749[/C][C]0.981[/C][C]1[/C][C]0.678[/C][C]0.613[/C][C]0.677[/C][C]0.674[/C][/ROW]
[ROW][C]Characters[/C][C]0.694[/C][C]0.28[/C][C]0.7[/C][C]0.67[/C][C]0.678[/C][C]1[/C][C]0.764[/C][C]0.739[/C][C]0.74[/C][/ROW]
[ROW][C]Revisions[/C][C]0.726[/C][C]0.079[/C][C]0.78[/C][C]0.598[/C][C]0.613[/C][C]0.764[/C][C]1[/C][C]0.856[/C][C]0.858[/C][/ROW]
[ROW][C]Hyperlinks[/C][C]0.779[/C][C]0.12[/C][C]0.84[/C][C]0.665[/C][C]0.677[/C][C]0.739[/C][C]0.856[/C][C]1[/C][C]0.998[/C][/ROW]
[ROW][C]Blogs[/C][C]0.778[/C][C]0.12[/C][C]0.84[/C][C]0.662[/C][C]0.674[/C][C]0.74[/C][C]0.858[/C][C]0.998[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153335&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153335&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)
TimeSharedBloggedReviewedFeedback_messagesCharactersRevisionsHyperlinksBlogs
Time10.1640.8030.740.7460.6940.7260.7790.778
Shared0.16410.0890.2490.2660.280.0790.120.12
Blogged0.8030.08910.7350.7490.70.780.840.84
Reviewed0.740.2490.73510.9810.670.5980.6650.662
Feedback_messages0.7460.2660.7490.98110.6780.6130.6770.674
Characters0.6940.280.70.670.67810.7640.7390.74
Revisions0.7260.0790.780.5980.6130.76410.8560.858
Hyperlinks0.7790.120.840.6650.6770.7390.85610.998
Blogs0.7780.120.840.6620.6740.740.8580.9981







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Time;Shared0.16390.16680.1199
p-value(0.036)(0.0328)(0.033)
Time;Blogged0.80270.77440.6083
p-value(0)(0)(0)
Time;Reviewed0.73960.63790.4855
p-value(0)(0)(0)
Time;Feedback_messages0.74570.65880.4959
p-value(0)(0)(0)
Time;Characters0.69390.65260.4971
p-value(0)(0)(0)
Time;Revisions0.72590.72180.5454
p-value(0)(0)(0)
Time;Hyperlinks0.77940.76620.5929
p-value(0)(0)(0)
Time;Blogs0.77840.77030.5964
p-value(0)(0)(0)
Shared;Blogged0.08950.07210.0505
p-value(0.2546)(0.3586)(0.3712)
Shared;Reviewed0.24940.17680.1252
p-value(0.0013)(0.0235)(0.0291)
Shared;Feedback_messages0.26570.18390.1295
p-value(6e-04)(0.0184)(0.0221)
Shared;Characters0.27960.30570.2286
p-value(3e-04)(1e-04)(0)
Shared;Revisions0.07870.09050.0671
p-value(0.3162)(0.2491)(0.2334)
Shared;Hyperlinks0.120.11290.0804
p-value(0.126)(0.15)(0.1537)
Shared;Blogs0.12020.12080.0868
p-value(0.1254)(0.1233)(0.1242)
Blogged;Reviewed0.73520.63830.4878
p-value(0)(0)(0)
Blogged;Feedback_messages0.74850.66670.5044
p-value(0)(0)(0)
Blogged;Characters0.69960.67520.5133
p-value(0)(0)(0)
Blogged;Revisions0.780.77610.5984
p-value(0)(0)(0)
Blogged;Hyperlinks0.83990.83450.6654
p-value(0)(0)(0)
Blogged;Blogs0.840.83730.6661
p-value(0)(0)(0)
Reviewed;Feedback_messages0.98110.95580.9031
p-value(0)(0)(0)
Reviewed;Characters0.67050.52190.3906
p-value(0)(0)(0)
Reviewed;Revisions0.59850.48570.3527
p-value(0)(0)(0)
Reviewed;Hyperlinks0.66530.58170.441
p-value(0)(0)(0)
Reviewed;Blogs0.66180.57620.4347
p-value(0)(0)(0)
Feedback_messages;Characters0.6780.55110.408
p-value(0)(0)(0)
Feedback_messages;Revisions0.61340.52120.3769
p-value(0)(0)(0)
Feedback_messages;Hyperlinks0.67740.60270.4512
p-value(0)(0)(0)
Feedback_messages;Blogs0.67380.59690.4445
p-value(0)(0)(0)
Characters;Revisions0.76370.75610.5953
p-value(0)(0)(0)
Characters;Hyperlinks0.73950.73070.5787
p-value(0)(0)(0)
Characters;Blogs0.74050.73580.5834
p-value(0)(0)(0)
Revisions;Hyperlinks0.85630.82840.6611
p-value(0)(0)(0)
Revisions;Blogs0.85830.83690.6702
p-value(0)(0)(0)
Hyperlinks;Blogs0.99810.99620.9719
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;Shared & 0.1639 & 0.1668 & 0.1199 \tabularnewline
p-value & (0.036) & (0.0328) & (0.033) \tabularnewline
Time;Blogged & 0.8027 & 0.7744 & 0.6083 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Reviewed & 0.7396 & 0.6379 & 0.4855 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Feedback_messages & 0.7457 & 0.6588 & 0.4959 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Characters & 0.6939 & 0.6526 & 0.4971 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Revisions & 0.7259 & 0.7218 & 0.5454 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Hyperlinks & 0.7794 & 0.7662 & 0.5929 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Time;Blogs & 0.7784 & 0.7703 & 0.5964 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Shared;Blogged & 0.0895 & 0.0721 & 0.0505 \tabularnewline
p-value & (0.2546) & (0.3586) & (0.3712) \tabularnewline
Shared;Reviewed & 0.2494 & 0.1768 & 0.1252 \tabularnewline
p-value & (0.0013) & (0.0235) & (0.0291) \tabularnewline
Shared;Feedback_messages & 0.2657 & 0.1839 & 0.1295 \tabularnewline
p-value & (6e-04) & (0.0184) & (0.0221) \tabularnewline
Shared;Characters & 0.2796 & 0.3057 & 0.2286 \tabularnewline
p-value & (3e-04) & (1e-04) & (0) \tabularnewline
Shared;Revisions & 0.0787 & 0.0905 & 0.0671 \tabularnewline
p-value & (0.3162) & (0.2491) & (0.2334) \tabularnewline
Shared;Hyperlinks & 0.12 & 0.1129 & 0.0804 \tabularnewline
p-value & (0.126) & (0.15) & (0.1537) \tabularnewline
Shared;Blogs & 0.1202 & 0.1208 & 0.0868 \tabularnewline
p-value & (0.1254) & (0.1233) & (0.1242) \tabularnewline
Blogged;Reviewed & 0.7352 & 0.6383 & 0.4878 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged;Feedback_messages & 0.7485 & 0.6667 & 0.5044 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged;Characters & 0.6996 & 0.6752 & 0.5133 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged;Revisions & 0.78 & 0.7761 & 0.5984 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged;Hyperlinks & 0.8399 & 0.8345 & 0.6654 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Blogged;Blogs & 0.84 & 0.8373 & 0.6661 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;Feedback_messages & 0.9811 & 0.9558 & 0.9031 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;Characters & 0.6705 & 0.5219 & 0.3906 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;Revisions & 0.5985 & 0.4857 & 0.3527 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;Hyperlinks & 0.6653 & 0.5817 & 0.441 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Reviewed;Blogs & 0.6618 & 0.5762 & 0.4347 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_messages;Characters & 0.678 & 0.5511 & 0.408 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_messages;Revisions & 0.6134 & 0.5212 & 0.3769 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_messages;Hyperlinks & 0.6774 & 0.6027 & 0.4512 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Feedback_messages;Blogs & 0.6738 & 0.5969 & 0.4445 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Characters;Revisions & 0.7637 & 0.7561 & 0.5953 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Characters;Hyperlinks & 0.7395 & 0.7307 & 0.5787 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Characters;Blogs & 0.7405 & 0.7358 & 0.5834 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Revisions;Hyperlinks & 0.8563 & 0.8284 & 0.6611 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Revisions;Blogs & 0.8583 & 0.8369 & 0.6702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Hyperlinks;Blogs & 0.9981 & 0.9962 & 0.9719 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153335&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;Shared[/C][C]0.1639[/C][C]0.1668[/C][C]0.1199[/C][/ROW]
[ROW][C]p-value[/C][C](0.036)[/C][C](0.0328)[/C][C](0.033)[/C][/ROW]
[ROW][C]Time;Blogged[/C][C]0.8027[/C][C]0.7744[/C][C]0.6083[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Reviewed[/C][C]0.7396[/C][C]0.6379[/C][C]0.4855[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Feedback_messages[/C][C]0.7457[/C][C]0.6588[/C][C]0.4959[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Characters[/C][C]0.6939[/C][C]0.6526[/C][C]0.4971[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Revisions[/C][C]0.7259[/C][C]0.7218[/C][C]0.5454[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Hyperlinks[/C][C]0.7794[/C][C]0.7662[/C][C]0.5929[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Time;Blogs[/C][C]0.7784[/C][C]0.7703[/C][C]0.5964[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Shared;Blogged[/C][C]0.0895[/C][C]0.0721[/C][C]0.0505[/C][/ROW]
[ROW][C]p-value[/C][C](0.2546)[/C][C](0.3586)[/C][C](0.3712)[/C][/ROW]
[ROW][C]Shared;Reviewed[/C][C]0.2494[/C][C]0.1768[/C][C]0.1252[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0.0235)[/C][C](0.0291)[/C][/ROW]
[ROW][C]Shared;Feedback_messages[/C][C]0.2657[/C][C]0.1839[/C][C]0.1295[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0.0184)[/C][C](0.0221)[/C][/ROW]
[ROW][C]Shared;Characters[/C][C]0.2796[/C][C]0.3057[/C][C]0.2286[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](1e-04)[/C][C](0)[/C][/ROW]
[ROW][C]Shared;Revisions[/C][C]0.0787[/C][C]0.0905[/C][C]0.0671[/C][/ROW]
[ROW][C]p-value[/C][C](0.3162)[/C][C](0.2491)[/C][C](0.2334)[/C][/ROW]
[ROW][C]Shared;Hyperlinks[/C][C]0.12[/C][C]0.1129[/C][C]0.0804[/C][/ROW]
[ROW][C]p-value[/C][C](0.126)[/C][C](0.15)[/C][C](0.1537)[/C][/ROW]
[ROW][C]Shared;Blogs[/C][C]0.1202[/C][C]0.1208[/C][C]0.0868[/C][/ROW]
[ROW][C]p-value[/C][C](0.1254)[/C][C](0.1233)[/C][C](0.1242)[/C][/ROW]
[ROW][C]Blogged;Reviewed[/C][C]0.7352[/C][C]0.6383[/C][C]0.4878[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged;Feedback_messages[/C][C]0.7485[/C][C]0.6667[/C][C]0.5044[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged;Characters[/C][C]0.6996[/C][C]0.6752[/C][C]0.5133[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged;Revisions[/C][C]0.78[/C][C]0.7761[/C][C]0.5984[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged;Hyperlinks[/C][C]0.8399[/C][C]0.8345[/C][C]0.6654[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Blogged;Blogs[/C][C]0.84[/C][C]0.8373[/C][C]0.6661[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed;Feedback_messages[/C][C]0.9811[/C][C]0.9558[/C][C]0.9031[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed;Characters[/C][C]0.6705[/C][C]0.5219[/C][C]0.3906[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed;Revisions[/C][C]0.5985[/C][C]0.4857[/C][C]0.3527[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed;Hyperlinks[/C][C]0.6653[/C][C]0.5817[/C][C]0.441[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Reviewed;Blogs[/C][C]0.6618[/C][C]0.5762[/C][C]0.4347[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_messages;Characters[/C][C]0.678[/C][C]0.5511[/C][C]0.408[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_messages;Revisions[/C][C]0.6134[/C][C]0.5212[/C][C]0.3769[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_messages;Hyperlinks[/C][C]0.6774[/C][C]0.6027[/C][C]0.4512[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Feedback_messages;Blogs[/C][C]0.6738[/C][C]0.5969[/C][C]0.4445[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Characters;Revisions[/C][C]0.7637[/C][C]0.7561[/C][C]0.5953[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Characters;Hyperlinks[/C][C]0.7395[/C][C]0.7307[/C][C]0.5787[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Characters;Blogs[/C][C]0.7405[/C][C]0.7358[/C][C]0.5834[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Revisions;Hyperlinks[/C][C]0.8563[/C][C]0.8284[/C][C]0.6611[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Revisions;Blogs[/C][C]0.8583[/C][C]0.8369[/C][C]0.6702[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Hyperlinks;Blogs[/C][C]0.9981[/C][C]0.9962[/C][C]0.9719[/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=153335&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153335&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;Shared0.16390.16680.1199
p-value(0.036)(0.0328)(0.033)
Time;Blogged0.80270.77440.6083
p-value(0)(0)(0)
Time;Reviewed0.73960.63790.4855
p-value(0)(0)(0)
Time;Feedback_messages0.74570.65880.4959
p-value(0)(0)(0)
Time;Characters0.69390.65260.4971
p-value(0)(0)(0)
Time;Revisions0.72590.72180.5454
p-value(0)(0)(0)
Time;Hyperlinks0.77940.76620.5929
p-value(0)(0)(0)
Time;Blogs0.77840.77030.5964
p-value(0)(0)(0)
Shared;Blogged0.08950.07210.0505
p-value(0.2546)(0.3586)(0.3712)
Shared;Reviewed0.24940.17680.1252
p-value(0.0013)(0.0235)(0.0291)
Shared;Feedback_messages0.26570.18390.1295
p-value(6e-04)(0.0184)(0.0221)
Shared;Characters0.27960.30570.2286
p-value(3e-04)(1e-04)(0)
Shared;Revisions0.07870.09050.0671
p-value(0.3162)(0.2491)(0.2334)
Shared;Hyperlinks0.120.11290.0804
p-value(0.126)(0.15)(0.1537)
Shared;Blogs0.12020.12080.0868
p-value(0.1254)(0.1233)(0.1242)
Blogged;Reviewed0.73520.63830.4878
p-value(0)(0)(0)
Blogged;Feedback_messages0.74850.66670.5044
p-value(0)(0)(0)
Blogged;Characters0.69960.67520.5133
p-value(0)(0)(0)
Blogged;Revisions0.780.77610.5984
p-value(0)(0)(0)
Blogged;Hyperlinks0.83990.83450.6654
p-value(0)(0)(0)
Blogged;Blogs0.840.83730.6661
p-value(0)(0)(0)
Reviewed;Feedback_messages0.98110.95580.9031
p-value(0)(0)(0)
Reviewed;Characters0.67050.52190.3906
p-value(0)(0)(0)
Reviewed;Revisions0.59850.48570.3527
p-value(0)(0)(0)
Reviewed;Hyperlinks0.66530.58170.441
p-value(0)(0)(0)
Reviewed;Blogs0.66180.57620.4347
p-value(0)(0)(0)
Feedback_messages;Characters0.6780.55110.408
p-value(0)(0)(0)
Feedback_messages;Revisions0.61340.52120.3769
p-value(0)(0)(0)
Feedback_messages;Hyperlinks0.67740.60270.4512
p-value(0)(0)(0)
Feedback_messages;Blogs0.67380.59690.4445
p-value(0)(0)(0)
Characters;Revisions0.76370.75610.5953
p-value(0)(0)(0)
Characters;Hyperlinks0.73950.73070.5787
p-value(0)(0)(0)
Characters;Blogs0.74050.73580.5834
p-value(0)(0)(0)
Revisions;Hyperlinks0.85630.82840.6611
p-value(0)(0)(0)
Revisions;Blogs0.85830.83690.6702
p-value(0)(0)(0)
Hyperlinks;Blogs0.99810.99620.9719
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')