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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 08 Dec 2010 16:19:32 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/08/t1291825063yu811prwdb3284g.htm/, Retrieved Fri, 03 May 2024 14:24:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106982, Retrieved Fri, 03 May 2024 14:24:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 19:08:13] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2010-12-08 16:19:32] [dcc54e7e6e8c80b7c45e040080afe6ab] [Current]
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Dataseries X:
-999	-999	38,6	6654	5712	645	3	5	3
6,3	2	4,5	1	6,6	42	3	1	3
-999	-999	14	3,385	44,5	60	1	1	1
-999	-999	-999	0,92	5,7	25	5	2	3
2,1	1,8	69	2547	4603	624	3	5	4
9,1	0,7	27	10,55	179,5	180	4	4	4
15,8	3,9	19	0,023	0,3	35	1	1	1
5,2	1	30,4	160	169	392	4	5	4
10,9	3,6	28	3,3	25,6	63	1	2	1
8,3	1,4	50	52,16	440	230	1	1	1
11	1,5	7	0,42	6,4	112	5	4	4
3,2	0,7	30	465	423	281	5	5	5
7,6	2,7	-999	0,55	2,4	-999	2	1	2
-999	-999	40	187,1	419	365	5	5	5
6,3	2,1	3,5	0,075	1,2	42	1	1	1
8,6	0	50	3	25	28	2	2	2
6,6	4,1	6	0,785	3,5	42	2	2	2
9,5	1,2	10,4	0,2	5	120	2	2	2
4,8	1,3	34	1,41	17,5	-999	1	2	1
12	6,1	7	60	81	-999	1	1	1
-999	0,3	28	529	680	400	5	5	5
3,3	0,5	20	27,66	115	148	5	5	5
11	3,4	3,9	0,12	1	16	3	1	2
-999	-999	39,3	207	406	252	1	4	1
4,7	1,5	41	85	325	310	1	3	1
-999	-999	16,2	36,33	119,5	63	1	1	1
10,4	3,4	9	0,101	4	28	5	1	3
7,4	0,8	7,6	1,04	5,5	68	5	3	4
2,1	0,8	46	521	655	336	5	5	5
-999	-999	22,4	100	157	100	1	1	1
-999	-999	16,3	35	56	33	3	5	4
7,7	1,4	2,6	0,005	0,14	21,5	5	2	4
17,9	2	24	0,1	0,25	50	1	1	1
6,1	1,9	100	62	1320	267	1	1	1
8,2	2,4	-999	0,122	3	30	2	1	1
8,4	2,8	-999	1,35	8,1	45	3	1	3
11,9	1,3	3,2	0,023	0,4	19	4	1	3
10,8	2	2	0,048	0,33	30	4	1	3
13,8	5,6	5	1,7	6,3	12	2	1	1
14,3	14,3	6,5	3,5	10,8	120	2	1	1
-999	1	23,6	250	490	440	5	5	5
15,2	1,8	12	0,48	15,5	140	2	2	2
10	0,9	20,2	10	115	170	4	4	4
11,9	1,8	13	1,62	11,4	17	2	1	2
6,5	1,9	27	192	180	115	4	4	4
7,5	0,9	18	2,5	12,1	31	5	5	5
-999	-999	13,7	4,288	39,2	63	2	2	2
10,6	2,6	4,7	0,28	1,9	21	3	1	3
7,4	2,4	9,8	4,235	50,4	52	1	1	1
8,4	1,2	29	6,8	179	164	2	3	2
5,7	0,9	7	0,75	12,3	225	2	2	2
4,9	0,5	6	3,6	21	225	3	2	3
-999	-999	17	14,83	98,2	150	5	5	5
3,2	0,6	20	55,5	175	151	5	5	5
-999	-999	12,7	1,4	12,5	90	2	2	2
8,1	2,2	3,5	0,06	1	-999	3	1	2
11	2,3	4,5	0,9	2,6	60	2	1	2
4,9	0,5	7,5	2	12,3	200	3	1	3
13,2	2,6	2,3	0,104	2,5	46	3	2	2
9,7	0,6	24	4,19	58	210	4	3	4
12,8	6,6	3	3,5	3,9	14	2	1	1
-999	-999	13	4,05	17	38	3	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106982&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106982&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Correlations for all pairs of data series (method=pearson)
SWSPSLBWBRWTgPSD
SWS10.9070.01-0.228-0.181-0.218-0.05-0.249-0.068
PS0.90710.033-0.223-0.164-0.1390.067-0.1290.065
L0.010.03310.0790.1140.267-0.030.2170.071
BW-0.228-0.2230.07910.9340.340.0590.3380.134
BRW-0.181-0.1640.1140.93410.40.0340.3680.146
Tg-0.218-0.1390.2670.340.410.2670.4530.348
P-0.050.067-0.030.0590.0340.26710.6180.916
S-0.249-0.1290.2170.3380.3680.4530.61810.787
D-0.0680.0650.0710.1340.1460.3480.9160.7871

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & PS & L & BW & BRW & Tg & P & S & D \tabularnewline
SWS & 1 & 0.907 & 0.01 & -0.228 & -0.181 & -0.218 & -0.05 & -0.249 & -0.068 \tabularnewline
PS & 0.907 & 1 & 0.033 & -0.223 & -0.164 & -0.139 & 0.067 & -0.129 & 0.065 \tabularnewline
L & 0.01 & 0.033 & 1 & 0.079 & 0.114 & 0.267 & -0.03 & 0.217 & 0.071 \tabularnewline
BW & -0.228 & -0.223 & 0.079 & 1 & 0.934 & 0.34 & 0.059 & 0.338 & 0.134 \tabularnewline
BRW & -0.181 & -0.164 & 0.114 & 0.934 & 1 & 0.4 & 0.034 & 0.368 & 0.146 \tabularnewline
Tg & -0.218 & -0.139 & 0.267 & 0.34 & 0.4 & 1 & 0.267 & 0.453 & 0.348 \tabularnewline
P & -0.05 & 0.067 & -0.03 & 0.059 & 0.034 & 0.267 & 1 & 0.618 & 0.916 \tabularnewline
S & -0.249 & -0.129 & 0.217 & 0.338 & 0.368 & 0.453 & 0.618 & 1 & 0.787 \tabularnewline
D & -0.068 & 0.065 & 0.071 & 0.134 & 0.146 & 0.348 & 0.916 & 0.787 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106982&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]PS[/C][C]L[/C][C]BW[/C][C]BRW[/C][C]Tg[/C][C]P[/C][C]S[/C][C]D[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.907[/C][C]0.01[/C][C]-0.228[/C][C]-0.181[/C][C]-0.218[/C][C]-0.05[/C][C]-0.249[/C][C]-0.068[/C][/ROW]
[ROW][C]PS[/C][C]0.907[/C][C]1[/C][C]0.033[/C][C]-0.223[/C][C]-0.164[/C][C]-0.139[/C][C]0.067[/C][C]-0.129[/C][C]0.065[/C][/ROW]
[ROW][C]L[/C][C]0.01[/C][C]0.033[/C][C]1[/C][C]0.079[/C][C]0.114[/C][C]0.267[/C][C]-0.03[/C][C]0.217[/C][C]0.071[/C][/ROW]
[ROW][C]BW[/C][C]-0.228[/C][C]-0.223[/C][C]0.079[/C][C]1[/C][C]0.934[/C][C]0.34[/C][C]0.059[/C][C]0.338[/C][C]0.134[/C][/ROW]
[ROW][C]BRW[/C][C]-0.181[/C][C]-0.164[/C][C]0.114[/C][C]0.934[/C][C]1[/C][C]0.4[/C][C]0.034[/C][C]0.368[/C][C]0.146[/C][/ROW]
[ROW][C]Tg[/C][C]-0.218[/C][C]-0.139[/C][C]0.267[/C][C]0.34[/C][C]0.4[/C][C]1[/C][C]0.267[/C][C]0.453[/C][C]0.348[/C][/ROW]
[ROW][C]P[/C][C]-0.05[/C][C]0.067[/C][C]-0.03[/C][C]0.059[/C][C]0.034[/C][C]0.267[/C][C]1[/C][C]0.618[/C][C]0.916[/C][/ROW]
[ROW][C]S[/C][C]-0.249[/C][C]-0.129[/C][C]0.217[/C][C]0.338[/C][C]0.368[/C][C]0.453[/C][C]0.618[/C][C]1[/C][C]0.787[/C][/ROW]
[ROW][C]D[/C][C]-0.068[/C][C]0.065[/C][C]0.071[/C][C]0.134[/C][C]0.146[/C][C]0.348[/C][C]0.916[/C][C]0.787[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106982&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106982&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)
SWSPSLBWBRWTgPSD
SWS10.9070.01-0.228-0.181-0.218-0.05-0.249-0.068
PS0.90710.033-0.223-0.164-0.1390.067-0.1290.065
L0.010.03310.0790.1140.267-0.030.2170.071
BW-0.228-0.2230.07910.9340.340.0590.3380.134
BRW-0.181-0.1640.1140.93410.40.0340.3680.146
Tg-0.218-0.1390.2670.340.410.2670.4530.348
P-0.050.067-0.030.0590.0340.26710.6180.916
S-0.249-0.1290.2170.3380.3680.4530.61810.787
D-0.0680.0650.0710.1340.1460.3480.9160.7871







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.90740.77020.6021
p-value(0)(0)(0)
SWS;L0.0097-0.3691-0.2469
p-value(0.9406)(0.0032)(0.0057)
SWS;BW-0.2279-0.59-0.4166
p-value(0.0749)(0)(0)
SWS;BRW-0.1813-0.5871-0.4183
p-value(0.1585)(0)(0)
SWS;Tg-0.2178-0.4493-0.3271
p-value(0.089)(2e-04)(2e-04)
SWS;P-0.0496-0.1722-0.1359
p-value(0.7017)(0.1808)(0.1603)
SWS;S-0.2488-0.4595-0.363
p-value(0.0512)(2e-04)(2e-04)
SWS;D-0.0683-0.2668-0.2189
p-value(0.5977)(0.036)(0.024)
PS;L0.0331-0.4301-0.2684
p-value(0.7982)(5e-04)(0.0026)
PS;BW-0.2228-0.471-0.3052
p-value(0.0818)(1e-04)(6e-04)
PS;BRW-0.1635-0.5172-0.3232
p-value(0.2041)(0)(3e-04)
PS;Tg-0.1389-0.4601-0.3141
p-value(0.2817)(2e-04)(4e-04)
PS;P0.0668-0.265-0.2027
p-value(0.6061)(0.0374)(0.0361)
PS;S-0.1293-0.5138-0.4033
p-value(0.3165)(0)(0)
PS;D0.0651-0.3557-0.2863
p-value(0.6154)(0.0046)(0.0031)
L;BW0.07920.73440.546
p-value(0.5407)(0)(0)
L;BRW0.11430.80970.6456
p-value(0.3762)(0)(0)
L;Tg0.26720.65440.4772
p-value(0.0358)(0)(0)
L;P-0.0301-0.0651-0.0593
p-value(0.8166)(0.6149)(0.5332)
L;S0.2170.55090.4154
p-value(0.0903)(0)(0)
L;D0.07070.13160.0894
p-value(0.5848)(0.308)(0.3484)
BW;BRW0.93420.95270.8282
p-value(0)(0)(0)
BW;Tg0.33990.68430.5134
p-value(0.0069)(0)(0)
BW;P0.05950.08850.0555
p-value(0.646)(0.4941)(0.5582)
BW;S0.33830.57110.4554
p-value(0.0072)(0)(0)
BW;D0.13360.24720.1685
p-value(0.3006)(0.0527)(0.076)
BRW;Tg0.39990.76190.5704
p-value(0.0013)(0)(0)
BRW;P0.03390.07340.0396
p-value(0.7939)(0.5708)(0.6764)
BRW;S0.36780.60030.4841
p-value(0.0033)(0)(0)
BRW;D0.14590.2540.1763
p-value(0.2579)(0.0464)(0.0635)
Tg;P0.26680.18980.1299
p-value(0.0361)(0.1395)(0.1724)
Tg;S0.45270.6190.499
p-value(2e-04)(0)(0)
Tg;D0.34830.36110.264
p-value(0.0055)(0.0039)(0.0056)
P;S0.61820.56690.4693
p-value(0)(0)(0)
P;D0.9160.9180.8563
p-value(0)(0)(0)
S;D0.78720.71810.6277
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
SWS;PS & 0.9074 & 0.7702 & 0.6021 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;L & 0.0097 & -0.3691 & -0.2469 \tabularnewline
p-value & (0.9406) & (0.0032) & (0.0057) \tabularnewline
SWS;BW & -0.2279 & -0.59 & -0.4166 \tabularnewline
p-value & (0.0749) & (0) & (0) \tabularnewline
SWS;BRW & -0.1813 & -0.5871 & -0.4183 \tabularnewline
p-value & (0.1585) & (0) & (0) \tabularnewline
SWS;Tg & -0.2178 & -0.4493 & -0.3271 \tabularnewline
p-value & (0.089) & (2e-04) & (2e-04) \tabularnewline
SWS;P & -0.0496 & -0.1722 & -0.1359 \tabularnewline
p-value & (0.7017) & (0.1808) & (0.1603) \tabularnewline
SWS;S & -0.2488 & -0.4595 & -0.363 \tabularnewline
p-value & (0.0512) & (2e-04) & (2e-04) \tabularnewline
SWS;D & -0.0683 & -0.2668 & -0.2189 \tabularnewline
p-value & (0.5977) & (0.036) & (0.024) \tabularnewline
PS;L & 0.0331 & -0.4301 & -0.2684 \tabularnewline
p-value & (0.7982) & (5e-04) & (0.0026) \tabularnewline
PS;BW & -0.2228 & -0.471 & -0.3052 \tabularnewline
p-value & (0.0818) & (1e-04) & (6e-04) \tabularnewline
PS;BRW & -0.1635 & -0.5172 & -0.3232 \tabularnewline
p-value & (0.2041) & (0) & (3e-04) \tabularnewline
PS;Tg & -0.1389 & -0.4601 & -0.3141 \tabularnewline
p-value & (0.2817) & (2e-04) & (4e-04) \tabularnewline
PS;P & 0.0668 & -0.265 & -0.2027 \tabularnewline
p-value & (0.6061) & (0.0374) & (0.0361) \tabularnewline
PS;S & -0.1293 & -0.5138 & -0.4033 \tabularnewline
p-value & (0.3165) & (0) & (0) \tabularnewline
PS;D & 0.0651 & -0.3557 & -0.2863 \tabularnewline
p-value & (0.6154) & (0.0046) & (0.0031) \tabularnewline
L;BW & 0.0792 & 0.7344 & 0.546 \tabularnewline
p-value & (0.5407) & (0) & (0) \tabularnewline
L;BRW & 0.1143 & 0.8097 & 0.6456 \tabularnewline
p-value & (0.3762) & (0) & (0) \tabularnewline
L;Tg & 0.2672 & 0.6544 & 0.4772 \tabularnewline
p-value & (0.0358) & (0) & (0) \tabularnewline
L;P & -0.0301 & -0.0651 & -0.0593 \tabularnewline
p-value & (0.8166) & (0.6149) & (0.5332) \tabularnewline
L;S & 0.217 & 0.5509 & 0.4154 \tabularnewline
p-value & (0.0903) & (0) & (0) \tabularnewline
L;D & 0.0707 & 0.1316 & 0.0894 \tabularnewline
p-value & (0.5848) & (0.308) & (0.3484) \tabularnewline
BW;BRW & 0.9342 & 0.9527 & 0.8282 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BW;Tg & 0.3399 & 0.6843 & 0.5134 \tabularnewline
p-value & (0.0069) & (0) & (0) \tabularnewline
BW;P & 0.0595 & 0.0885 & 0.0555 \tabularnewline
p-value & (0.646) & (0.4941) & (0.5582) \tabularnewline
BW;S & 0.3383 & 0.5711 & 0.4554 \tabularnewline
p-value & (0.0072) & (0) & (0) \tabularnewline
BW;D & 0.1336 & 0.2472 & 0.1685 \tabularnewline
p-value & (0.3006) & (0.0527) & (0.076) \tabularnewline
BRW;Tg & 0.3999 & 0.7619 & 0.5704 \tabularnewline
p-value & (0.0013) & (0) & (0) \tabularnewline
BRW;P & 0.0339 & 0.0734 & 0.0396 \tabularnewline
p-value & (0.7939) & (0.5708) & (0.6764) \tabularnewline
BRW;S & 0.3678 & 0.6003 & 0.4841 \tabularnewline
p-value & (0.0033) & (0) & (0) \tabularnewline
BRW;D & 0.1459 & 0.254 & 0.1763 \tabularnewline
p-value & (0.2579) & (0.0464) & (0.0635) \tabularnewline
Tg;P & 0.2668 & 0.1898 & 0.1299 \tabularnewline
p-value & (0.0361) & (0.1395) & (0.1724) \tabularnewline
Tg;S & 0.4527 & 0.619 & 0.499 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
Tg;D & 0.3483 & 0.3611 & 0.264 \tabularnewline
p-value & (0.0055) & (0.0039) & (0.0056) \tabularnewline
P;S & 0.6182 & 0.5669 & 0.4693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;D & 0.916 & 0.918 & 0.8563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D & 0.7872 & 0.7181 & 0.6277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106982&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]SWS;PS[/C][C]0.9074[/C][C]0.7702[/C][C]0.6021[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;L[/C][C]0.0097[/C][C]-0.3691[/C][C]-0.2469[/C][/ROW]
[ROW][C]p-value[/C][C](0.9406)[/C][C](0.0032)[/C][C](0.0057)[/C][/ROW]
[ROW][C]SWS;BW[/C][C]-0.2279[/C][C]-0.59[/C][C]-0.4166[/C][/ROW]
[ROW][C]p-value[/C][C](0.0749)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;BRW[/C][C]-0.1813[/C][C]-0.5871[/C][C]-0.4183[/C][/ROW]
[ROW][C]p-value[/C][C](0.1585)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.2178[/C][C]-0.4493[/C][C]-0.3271[/C][/ROW]
[ROW][C]p-value[/C][C](0.089)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.0496[/C][C]-0.1722[/C][C]-0.1359[/C][/ROW]
[ROW][C]p-value[/C][C](0.7017)[/C][C](0.1808)[/C][C](0.1603)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.2488[/C][C]-0.4595[/C][C]-0.363[/C][/ROW]
[ROW][C]p-value[/C][C](0.0512)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;D[/C][C]-0.0683[/C][C]-0.2668[/C][C]-0.2189[/C][/ROW]
[ROW][C]p-value[/C][C](0.5977)[/C][C](0.036)[/C][C](0.024)[/C][/ROW]
[ROW][C]PS;L[/C][C]0.0331[/C][C]-0.4301[/C][C]-0.2684[/C][/ROW]
[ROW][C]p-value[/C][C](0.7982)[/C][C](5e-04)[/C][C](0.0026)[/C][/ROW]
[ROW][C]PS;BW[/C][C]-0.2228[/C][C]-0.471[/C][C]-0.3052[/C][/ROW]
[ROW][C]p-value[/C][C](0.0818)[/C][C](1e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]PS;BRW[/C][C]-0.1635[/C][C]-0.5172[/C][C]-0.3232[/C][/ROW]
[ROW][C]p-value[/C][C](0.2041)[/C][C](0)[/C][C](3e-04)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.1389[/C][C]-0.4601[/C][C]-0.3141[/C][/ROW]
[ROW][C]p-value[/C][C](0.2817)[/C][C](2e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]PS;P[/C][C]0.0668[/C][C]-0.265[/C][C]-0.2027[/C][/ROW]
[ROW][C]p-value[/C][C](0.6061)[/C][C](0.0374)[/C][C](0.0361)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.1293[/C][C]-0.5138[/C][C]-0.4033[/C][/ROW]
[ROW][C]p-value[/C][C](0.3165)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;D[/C][C]0.0651[/C][C]-0.3557[/C][C]-0.2863[/C][/ROW]
[ROW][C]p-value[/C][C](0.6154)[/C][C](0.0046)[/C][C](0.0031)[/C][/ROW]
[ROW][C]L;BW[/C][C]0.0792[/C][C]0.7344[/C][C]0.546[/C][/ROW]
[ROW][C]p-value[/C][C](0.5407)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;BRW[/C][C]0.1143[/C][C]0.8097[/C][C]0.6456[/C][/ROW]
[ROW][C]p-value[/C][C](0.3762)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Tg[/C][C]0.2672[/C][C]0.6544[/C][C]0.4772[/C][/ROW]
[ROW][C]p-value[/C][C](0.0358)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.0301[/C][C]-0.0651[/C][C]-0.0593[/C][/ROW]
[ROW][C]p-value[/C][C](0.8166)[/C][C](0.6149)[/C][C](0.5332)[/C][/ROW]
[ROW][C]L;S[/C][C]0.217[/C][C]0.5509[/C][C]0.4154[/C][/ROW]
[ROW][C]p-value[/C][C](0.0903)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0707[/C][C]0.1316[/C][C]0.0894[/C][/ROW]
[ROW][C]p-value[/C][C](0.5848)[/C][C](0.308)[/C][C](0.3484)[/C][/ROW]
[ROW][C]BW;BRW[/C][C]0.9342[/C][C]0.9527[/C][C]0.8282[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BW;Tg[/C][C]0.3399[/C][C]0.6843[/C][C]0.5134[/C][/ROW]
[ROW][C]p-value[/C][C](0.0069)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BW;P[/C][C]0.0595[/C][C]0.0885[/C][C]0.0555[/C][/ROW]
[ROW][C]p-value[/C][C](0.646)[/C][C](0.4941)[/C][C](0.5582)[/C][/ROW]
[ROW][C]BW;S[/C][C]0.3383[/C][C]0.5711[/C][C]0.4554[/C][/ROW]
[ROW][C]p-value[/C][C](0.0072)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BW;D[/C][C]0.1336[/C][C]0.2472[/C][C]0.1685[/C][/ROW]
[ROW][C]p-value[/C][C](0.3006)[/C][C](0.0527)[/C][C](0.076)[/C][/ROW]
[ROW][C]BRW;Tg[/C][C]0.3999[/C][C]0.7619[/C][C]0.5704[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BRW;P[/C][C]0.0339[/C][C]0.0734[/C][C]0.0396[/C][/ROW]
[ROW][C]p-value[/C][C](0.7939)[/C][C](0.5708)[/C][C](0.6764)[/C][/ROW]
[ROW][C]BRW;S[/C][C]0.3678[/C][C]0.6003[/C][C]0.4841[/C][/ROW]
[ROW][C]p-value[/C][C](0.0033)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BRW;D[/C][C]0.1459[/C][C]0.254[/C][C]0.1763[/C][/ROW]
[ROW][C]p-value[/C][C](0.2579)[/C][C](0.0464)[/C][C](0.0635)[/C][/ROW]
[ROW][C]Tg;P[/C][C]0.2668[/C][C]0.1898[/C][C]0.1299[/C][/ROW]
[ROW][C]p-value[/C][C](0.0361)[/C][C](0.1395)[/C][C](0.1724)[/C][/ROW]
[ROW][C]Tg;S[/C][C]0.4527[/C][C]0.619[/C][C]0.499[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tg;D[/C][C]0.3483[/C][C]0.3611[/C][C]0.264[/C][/ROW]
[ROW][C]p-value[/C][C](0.0055)[/C][C](0.0039)[/C][C](0.0056)[/C][/ROW]
[ROW][C]P;S[/C][C]0.6182[/C][C]0.5669[/C][C]0.4693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;D[/C][C]0.916[/C][C]0.918[/C][C]0.8563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D[/C][C]0.7872[/C][C]0.7181[/C][C]0.6277[/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=106982&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106982&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
SWS;PS0.90740.77020.6021
p-value(0)(0)(0)
SWS;L0.0097-0.3691-0.2469
p-value(0.9406)(0.0032)(0.0057)
SWS;BW-0.2279-0.59-0.4166
p-value(0.0749)(0)(0)
SWS;BRW-0.1813-0.5871-0.4183
p-value(0.1585)(0)(0)
SWS;Tg-0.2178-0.4493-0.3271
p-value(0.089)(2e-04)(2e-04)
SWS;P-0.0496-0.1722-0.1359
p-value(0.7017)(0.1808)(0.1603)
SWS;S-0.2488-0.4595-0.363
p-value(0.0512)(2e-04)(2e-04)
SWS;D-0.0683-0.2668-0.2189
p-value(0.5977)(0.036)(0.024)
PS;L0.0331-0.4301-0.2684
p-value(0.7982)(5e-04)(0.0026)
PS;BW-0.2228-0.471-0.3052
p-value(0.0818)(1e-04)(6e-04)
PS;BRW-0.1635-0.5172-0.3232
p-value(0.2041)(0)(3e-04)
PS;Tg-0.1389-0.4601-0.3141
p-value(0.2817)(2e-04)(4e-04)
PS;P0.0668-0.265-0.2027
p-value(0.6061)(0.0374)(0.0361)
PS;S-0.1293-0.5138-0.4033
p-value(0.3165)(0)(0)
PS;D0.0651-0.3557-0.2863
p-value(0.6154)(0.0046)(0.0031)
L;BW0.07920.73440.546
p-value(0.5407)(0)(0)
L;BRW0.11430.80970.6456
p-value(0.3762)(0)(0)
L;Tg0.26720.65440.4772
p-value(0.0358)(0)(0)
L;P-0.0301-0.0651-0.0593
p-value(0.8166)(0.6149)(0.5332)
L;S0.2170.55090.4154
p-value(0.0903)(0)(0)
L;D0.07070.13160.0894
p-value(0.5848)(0.308)(0.3484)
BW;BRW0.93420.95270.8282
p-value(0)(0)(0)
BW;Tg0.33990.68430.5134
p-value(0.0069)(0)(0)
BW;P0.05950.08850.0555
p-value(0.646)(0.4941)(0.5582)
BW;S0.33830.57110.4554
p-value(0.0072)(0)(0)
BW;D0.13360.24720.1685
p-value(0.3006)(0.0527)(0.076)
BRW;Tg0.39990.76190.5704
p-value(0.0013)(0)(0)
BRW;P0.03390.07340.0396
p-value(0.7939)(0.5708)(0.6764)
BRW;S0.36780.60030.4841
p-value(0.0033)(0)(0)
BRW;D0.14590.2540.1763
p-value(0.2579)(0.0464)(0.0635)
Tg;P0.26680.18980.1299
p-value(0.0361)(0.1395)(0.1724)
Tg;S0.45270.6190.499
p-value(2e-04)(0)(0)
Tg;D0.34830.36110.264
p-value(0.0055)(0.0039)(0.0056)
P;S0.61820.56690.4693
p-value(0)(0)(0)
P;D0.9160.9180.8563
p-value(0)(0)(0)
S;D0.78720.71810.6277
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')