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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 14 Dec 2010 18:11:26 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t12923502353lepv40iyps14b1.htm/, Retrieved Thu, 02 May 2024 23:42:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109973, Retrieved Thu, 02 May 2024 23:42:58 +0000

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Estimated Impact

111

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]
-   PD    [Kendall tau Correlation Matrix] [] [2010-12-14 18:11:26] [23ca1b0f6f6de1e008a90be3f55e3db8] [Current]

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6	4	15	10	4	4	4	1
11	9	9	19	7	7	7	1
9	9	12	15	4	4	4	1
14	6	16	12	5	4	4,5	1
12	8	16	14	5	6	5,5	1
18	11	15	13	4	4	4	1
15	10	16	11	4	5	4,5	1
12	13	13	18	5	5	5	1
15	10	18	12	5	4	4,5	1
13	6	17	15	3	4	3,5	1
10	8	14	15	7	7	7	1
13	5	13	9	4	5	4,5	1
17	9	15	11	6	5	5,5	1
15	11	15	16	5	4	4,5	1
13	11	13	17	7	7	7	1
17	9	13	11	5	5	5	1
21	7	16	13	5	5	5	1
12	6	14	9	4	4	4	1
15	6	18	11	4	4	4	1
16	10	16	12	7	7	7	1
11	4	17	13	5	8	6,5	1
9	9	15	13	2	2	2	1
14	10	11	13	4	3	3,5	1
14	13	11	14	5	7	6	1
12	8	15	9	4	5	4,5	1
15	10	15	9	4	4	4	1
11	5	12	15	4	4	4	1
11	8	17	10	4	4	4	1
13	9	14	15	5	6	5,5	1
12	7	17	13	4	6	5	1
24	20	10	24	4	4	4	1
11	8	15	13	4	4	4	1
12	7	7	22	2	4	3	1
13	6	9	9	5	5	5	1
11	10	14	12	5	7	6	1
14	11	11	16	7	8	7,5	1
16	12	15	10	7	7	7	1
12	7	16	13	4	4	4	1
21	12	17	11	4	4	4	1
6	6	15	13	4	2	3	1
14	9	15	10	2	4	3	1
16	5	16	11	5	4	4,5	1
18	11	16	9	4	4	4	1
13	10	12	14	2	4	3	1
11	7	15	11	4	5	4,5	1
16	8	17	10	4	5	4,5	1
11	9	19	11	5	5	5	1
11	8	15	12	1	1	1	1
20	13	14	14	4	5	4,5	1
10	7	16	21	5	7	6	1
12	7	15	13	5	7	6	1
14	9	12	12	7	7	7	1
12	9	18	12	4	4	4	1
12	8	13	11	4	4	4	1
12	7	14	14	4	4	4	1
13	10	15	12	2	2	2	1
12	7	11	12	5	4	4,5	1
9	7	15	11	4	4	4	1
14	10	14	15	4	4	4	1
12	8	16	11	4	4	4	1
18	5	14	22	5	7	6	1
17	8	18	10	3	4	3,5	1
15	9	14	11	5	5	5	1
8	11	13	15	4	4	4	1
12	8	14	11	4	4	4	1
10	4	17	10	5	5	5	1
18	16	12	14	4	7	5,5	1
15	9	16	14	6	7	6,5	1
16	10	15	11	7	8	7,5	1
17	11	16	10	5	5	5	1
7	8	14	12	4	4	4	1
12	8	17	10	5	7	6	1
15	6	14	12	4	1	2,5	1
13	8	16	15	4	4	4	1
16	14	12	11	3	4	3,5	1
18	12	13	17	2	7	4,5	1
11	11	19	8	1	1	1	1
13	8	11	17	4	4	4	1
11	8	15	13	4	2	3	1
13	7	12	16	4	4	4	1
14	9	14	13	1	1	1	1
18	12	11	15	4	3	3,5	1
15	6	15	14	4	4	4	1
9	4	12	18	5	5	5	1
11	6	14	14	4	4	4	1
17	7	13	10	6	6	6	1
5	4	9	20	4	4	4	2
20	10	12	16	4	5	4,5	2
12	6	15	10	7	7	7	2
11	5	17	8	7	7	7	2
12	8	14	14	4	4	4	2
13	8	11	23	5	4	4,5	2
9	11	13	9	4	2	3	2
9	5	10	11	3	5	4	2
12	7	12	10	5	7	6	2
12	7	15	12	5	4	4,5	2
11	8	13	10	4	4	4	2
17	7	13	12	7	4	5,5	2
12	7	12	14	4	4	4	2
8	5	9	20	4	1	2,5	2
15	4	16	8	1	1	1	2
9	8	17	10	5	5	5	2
13	6	13	11	4	4	4	2
9	6	10	15	4	4	4	2
15	9	13	12	5	5	5	2
14	6	16	9	4	4	4	2
9	6	15	13	4	5	4,5	2
8	9	16	8	4	4	4	2
11	8	11	11	6	3	4,5	2
16	7	15	12	6	6	6	2
18	10	17	11	2	2	2	2
12	5	14	15	1	1	1	2
14	8	18	7	4	3	3,5	2
16	9	14	14	4	4	4	2
24	20	14	10	2	2	2	2
11	8	12	11	4	4	4	2
9	6	11	13	4	4	4	2
17	8	14	14	3	3	3	2
11	10	16	14	4	3	3,5	2
11	8	17	11	4	3	3,5	2
10	6	14	13	4	4	4	2
12	8	14	13	4	4	4	2
10	8	12	12	4	4	4	2
10	8	12	12	5	4	4,5	2
13	8	11	18	3	4	3,5	2
14	9	15	13	7	7	7	2
8	7	14	14	4	4	4	2
11	12	10	15	4	4	4	2
10	8	13	11	4	4	4	2
7	4	15	10	4	4	4	2
9	6	15	12	5	6	5,5	2
11	10	16	10	4	4	4	2
7	5	8	20	4	4	4	2
15	8	9	19	5	4	4,5	2
11	8	15	11	5	8	6,5	2
13	9	11	13	4	1	2,5	2
12	6	15	9	4	4	4	2
11	5	16	10	7	7	7	2
8	4	16	12	4	3	3,5	2
12	9	15	14	2	2	2	2
9	5	13	11	3	5	4	2
12	9	15	8	5	4	4,5	2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	8 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109973&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109973&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	8 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=pearson)
	PE	PC	Ha	De	DM	DV	DO	Geslacht
PE	1	0.569	0.098	0.019	0.029	0.091	0.069	-0.24
PC	0.569	1	-0.066	0.097	-0.051	0.025	-0.01	-0.208
Ha	0.098	-0.066	1	-0.542	-0.02	0.025	0.005	-0.173
De	0.019	0.097	-0.542	1	0.011	0.068	0.046	-0.083
DM	0.029	-0.051	-0.02	0.011	1	0.704	0.905	-0.039
DV	0.091	0.025	0.025	0.068	0.704	1	0.939	-0.19
DO	0.069	-0.01	0.005	0.046	0.905	0.939	1	-0.133
Geslacht	-0.24	-0.208	-0.173	-0.083	-0.039	-0.19	-0.133	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & PE & PC & Ha & De & DM & DV & DO & Geslacht \tabularnewline
PE & 1 & 0.569 & 0.098 & 0.019 & 0.029 & 0.091 & 0.069 & -0.24 \tabularnewline
PC & 0.569 & 1 & -0.066 & 0.097 & -0.051 & 0.025 & -0.01 & -0.208 \tabularnewline
Ha & 0.098 & -0.066 & 1 & -0.542 & -0.02 & 0.025 & 0.005 & -0.173 \tabularnewline
De & 0.019 & 0.097 & -0.542 & 1 & 0.011 & 0.068 & 0.046 & -0.083 \tabularnewline
DM & 0.029 & -0.051 & -0.02 & 0.011 & 1 & 0.704 & 0.905 & -0.039 \tabularnewline
DV & 0.091 & 0.025 & 0.025 & 0.068 & 0.704 & 1 & 0.939 & -0.19 \tabularnewline
DO & 0.069 & -0.01 & 0.005 & 0.046 & 0.905 & 0.939 & 1 & -0.133 \tabularnewline
Geslacht & -0.24 & -0.208 & -0.173 & -0.083 & -0.039 & -0.19 & -0.133 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109973&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]PE[/C][C]PC[/C][C]Ha[/C][C]De[/C][C]DM[/C][C]DV[/C][C]DO[/C][C]Geslacht[/C][/ROW]
[ROW][C]PE[/C][C]1[/C][C]0.569[/C][C]0.098[/C][C]0.019[/C][C]0.029[/C][C]0.091[/C][C]0.069[/C][C]-0.24[/C][/ROW]
[ROW][C]PC[/C][C]0.569[/C][C]1[/C][C]-0.066[/C][C]0.097[/C][C]-0.051[/C][C]0.025[/C][C]-0.01[/C][C]-0.208[/C][/ROW]
[ROW][C]Ha[/C][C]0.098[/C][C]-0.066[/C][C]1[/C][C]-0.542[/C][C]-0.02[/C][C]0.025[/C][C]0.005[/C][C]-0.173[/C][/ROW]
[ROW][C]De[/C][C]0.019[/C][C]0.097[/C][C]-0.542[/C][C]1[/C][C]0.011[/C][C]0.068[/C][C]0.046[/C][C]-0.083[/C][/ROW]
[ROW][C]DM[/C][C]0.029[/C][C]-0.051[/C][C]-0.02[/C][C]0.011[/C][C]1[/C][C]0.704[/C][C]0.905[/C][C]-0.039[/C][/ROW]
[ROW][C]DV[/C][C]0.091[/C][C]0.025[/C][C]0.025[/C][C]0.068[/C][C]0.704[/C][C]1[/C][C]0.939[/C][C]-0.19[/C][/ROW]
[ROW][C]DO[/C][C]0.069[/C][C]-0.01[/C][C]0.005[/C][C]0.046[/C][C]0.905[/C][C]0.939[/C][C]1[/C][C]-0.133[/C][/ROW]
[ROW][C]Geslacht[/C][C]-0.24[/C][C]-0.208[/C][C]-0.173[/C][C]-0.083[/C][C]-0.039[/C][C]-0.19[/C][C]-0.133[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109973&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)
	PE	PC	Ha	De	DM	DV	DO	Geslacht
PE	1	0.569	0.098	0.019	0.029	0.091	0.069	-0.24
PC	0.569	1	-0.066	0.097	-0.051	0.025	-0.01	-0.208
Ha	0.098	-0.066	1	-0.542	-0.02	0.025	0.005	-0.173
De	0.019	0.097	-0.542	1	0.011	0.068	0.046	-0.083
DM	0.029	-0.051	-0.02	0.011	1	0.704	0.905	-0.039
DV	0.091	0.025	0.025	0.068	0.704	1	0.939	-0.19
DO	0.069	-0.01	0.005	0.046	0.905	0.939	1	-0.133
Geslacht	-0.24	-0.208	-0.173	-0.083	-0.039	-0.19	-0.133	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
PE;PC	0.5694	0.4394	0.3451
p-value	(0)	(0)	(0)
PE;Ha	0.0975	0.078	0.055
p-value	(0.2483)	(0.3559)	(0.3776)
PE;De	0.0194	-0.0063	-0.0074
p-value	(0.8189)	(0.9404)	(0.9046)
PE;DM	0.0292	0.0763	0.0624
p-value	(0.7297)	(0.3668)	(0.3447)
PE;DV	0.0913	0.1176	0.09
p-value	(0.2799)	(0.1633)	(0.1669)
PE;DO	0.0688	0.1277	0.0942
p-value	(0.4161)	(0.1299)	(0.1354)
PE;Geslacht	-0.2396	-0.2789	-0.2383
p-value	(0.0041)	(8e-04)	(9e-04)
PC;Ha	-0.0662	-0.0399	-0.0298
p-value	(0.4338)	(0.6374)	(0.6371)
PC;De	0.0969	0.0748	0.0589
p-value	(0.2514)	(0.376)	(0.3468)
PC;DM	-0.0513	-0.0108	-0.0058
p-value	(0.5441)	(0.8985)	(0.9313)
PC;DV	0.0249	0.017	0.0102
p-value	(0.7685)	(0.8407)	(0.8769)
PC;DO	-0.0099	0.0095	0.0079
p-value	(0.9065)	(0.9104)	(0.9011)
PC;Geslacht	-0.2076	-0.2371	-0.2051
p-value	(0.0132)	(0.0045)	(0.0049)
Ha;De	-0.542	-0.467	-0.3666
p-value	(0)	(0)	(0)
Ha;DM	-0.0199	0.0246	0.0182
p-value	(0.8142)	(0.7711)	(0.7856)
Ha;DV	0.0246	0.0375	0.0303
p-value	(0.7717)	(0.658)	(0.6451)
Ha;DO	0.0051	0.0398	0.0308
p-value	(0.9524)	(0.6378)	(0.6295)
Ha;Geslacht	-0.1731	-0.1649	-0.1426
p-value	(0.0394)	(0.0499)	(0.0502)
De;DM	0.011	-0.0143	-0.0131
p-value	(0.8969)	(0.8662)	(0.844)
De;DV	0.0684	0.0116	0.0107
p-value	(0.4189)	(0.8913)	(0.8699)
De;DO	0.0462	-0.0042	2e-04
p-value	(0.5851)	(0.9605)	(0.9971)
De;Geslacht	-0.0833	-0.1042	-0.0894
p-value	(0.3245)	(0.217)	(0.2158)
DM;DV	0.7041	0.6716	0.6001
p-value	(0)	(0)	(0)
DM;DO	0.9053	0.8879	0.8173
p-value	(0)	(0)	(0)
DM;Geslacht	-0.039	-0.0706	-0.0648
p-value	(0.6446)	(0.4036)	(0.4017)
DV;DO	0.9391	0.9157	0.8564
p-value	(0)	(0)	(0)
DV;Geslacht	-0.1902	-0.2158	-0.1951
p-value	(0.0234)	(0.0099)	(0.0104)
DO;Geslacht	-0.1327	-0.1539	-0.1347
p-value	(0.1154)	(0.0675)	(0.0677)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
PE;PC & 0.5694 & 0.4394 & 0.3451 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PE;Ha & 0.0975 & 0.078 & 0.055 \tabularnewline
p-value & (0.2483) & (0.3559) & (0.3776) \tabularnewline
PE;De & 0.0194 & -0.0063 & -0.0074 \tabularnewline
p-value & (0.8189) & (0.9404) & (0.9046) \tabularnewline
PE;DM & 0.0292 & 0.0763 & 0.0624 \tabularnewline
p-value & (0.7297) & (0.3668) & (0.3447) \tabularnewline
PE;DV & 0.0913 & 0.1176 & 0.09 \tabularnewline
p-value & (0.2799) & (0.1633) & (0.1669) \tabularnewline
PE;DO & 0.0688 & 0.1277 & 0.0942 \tabularnewline
p-value & (0.4161) & (0.1299) & (0.1354) \tabularnewline
PE;Geslacht & -0.2396 & -0.2789 & -0.2383 \tabularnewline
p-value & (0.0041) & (8e-04) & (9e-04) \tabularnewline
PC;Ha & -0.0662 & -0.0399 & -0.0298 \tabularnewline
p-value & (0.4338) & (0.6374) & (0.6371) \tabularnewline
PC;De & 0.0969 & 0.0748 & 0.0589 \tabularnewline
p-value & (0.2514) & (0.376) & (0.3468) \tabularnewline
PC;DM & -0.0513 & -0.0108 & -0.0058 \tabularnewline
p-value & (0.5441) & (0.8985) & (0.9313) \tabularnewline
PC;DV & 0.0249 & 0.017 & 0.0102 \tabularnewline
p-value & (0.7685) & (0.8407) & (0.8769) \tabularnewline
PC;DO & -0.0099 & 0.0095 & 0.0079 \tabularnewline
p-value & (0.9065) & (0.9104) & (0.9011) \tabularnewline
PC;Geslacht & -0.2076 & -0.2371 & -0.2051 \tabularnewline
p-value & (0.0132) & (0.0045) & (0.0049) \tabularnewline
Ha;De & -0.542 & -0.467 & -0.3666 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Ha;DM & -0.0199 & 0.0246 & 0.0182 \tabularnewline
p-value & (0.8142) & (0.7711) & (0.7856) \tabularnewline
Ha;DV & 0.0246 & 0.0375 & 0.0303 \tabularnewline
p-value & (0.7717) & (0.658) & (0.6451) \tabularnewline
Ha;DO & 0.0051 & 0.0398 & 0.0308 \tabularnewline
p-value & (0.9524) & (0.6378) & (0.6295) \tabularnewline
Ha;Geslacht & -0.1731 & -0.1649 & -0.1426 \tabularnewline
p-value & (0.0394) & (0.0499) & (0.0502) \tabularnewline
De;DM & 0.011 & -0.0143 & -0.0131 \tabularnewline
p-value & (0.8969) & (0.8662) & (0.844) \tabularnewline
De;DV & 0.0684 & 0.0116 & 0.0107 \tabularnewline
p-value & (0.4189) & (0.8913) & (0.8699) \tabularnewline
De;DO & 0.0462 & -0.0042 & 2e-04 \tabularnewline
p-value & (0.5851) & (0.9605) & (0.9971) \tabularnewline
De;Geslacht & -0.0833 & -0.1042 & -0.0894 \tabularnewline
p-value & (0.3245) & (0.217) & (0.2158) \tabularnewline
DM;DV & 0.7041 & 0.6716 & 0.6001 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
DM;DO & 0.9053 & 0.8879 & 0.8173 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
DM;Geslacht & -0.039 & -0.0706 & -0.0648 \tabularnewline
p-value & (0.6446) & (0.4036) & (0.4017) \tabularnewline
DV;DO & 0.9391 & 0.9157 & 0.8564 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
DV;Geslacht & -0.1902 & -0.2158 & -0.1951 \tabularnewline
p-value & (0.0234) & (0.0099) & (0.0104) \tabularnewline
DO;Geslacht & -0.1327 & -0.1539 & -0.1347 \tabularnewline
p-value & (0.1154) & (0.0675) & (0.0677) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109973&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]PE;PC[/C][C]0.5694[/C][C]0.4394[/C][C]0.3451[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PE;Ha[/C][C]0.0975[/C][C]0.078[/C][C]0.055[/C][/ROW]
[ROW][C]p-value[/C][C](0.2483)[/C][C](0.3559)[/C][C](0.3776)[/C][/ROW]
[ROW][C]PE;De[/C][C]0.0194[/C][C]-0.0063[/C][C]-0.0074[/C][/ROW]
[ROW][C]p-value[/C][C](0.8189)[/C][C](0.9404)[/C][C](0.9046)[/C][/ROW]
[ROW][C]PE;DM[/C][C]0.0292[/C][C]0.0763[/C][C]0.0624[/C][/ROW]
[ROW][C]p-value[/C][C](0.7297)[/C][C](0.3668)[/C][C](0.3447)[/C][/ROW]
[ROW][C]PE;DV[/C][C]0.0913[/C][C]0.1176[/C][C]0.09[/C][/ROW]
[ROW][C]p-value[/C][C](0.2799)[/C][C](0.1633)[/C][C](0.1669)[/C][/ROW]
[ROW][C]PE;DO[/C][C]0.0688[/C][C]0.1277[/C][C]0.0942[/C][/ROW]
[ROW][C]p-value[/C][C](0.4161)[/C][C](0.1299)[/C][C](0.1354)[/C][/ROW]
[ROW][C]PE;Geslacht[/C][C]-0.2396[/C][C]-0.2789[/C][C]-0.2383[/C][/ROW]
[ROW][C]p-value[/C][C](0.0041)[/C][C](8e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]PC;Ha[/C][C]-0.0662[/C][C]-0.0399[/C][C]-0.0298[/C][/ROW]
[ROW][C]p-value[/C][C](0.4338)[/C][C](0.6374)[/C][C](0.6371)[/C][/ROW]
[ROW][C]PC;De[/C][C]0.0969[/C][C]0.0748[/C][C]0.0589[/C][/ROW]
[ROW][C]p-value[/C][C](0.2514)[/C][C](0.376)[/C][C](0.3468)[/C][/ROW]
[ROW][C]PC;DM[/C][C]-0.0513[/C][C]-0.0108[/C][C]-0.0058[/C][/ROW]
[ROW][C]p-value[/C][C](0.5441)[/C][C](0.8985)[/C][C](0.9313)[/C][/ROW]
[ROW][C]PC;DV[/C][C]0.0249[/C][C]0.017[/C][C]0.0102[/C][/ROW]
[ROW][C]p-value[/C][C](0.7685)[/C][C](0.8407)[/C][C](0.8769)[/C][/ROW]
[ROW][C]PC;DO[/C][C]-0.0099[/C][C]0.0095[/C][C]0.0079[/C][/ROW]
[ROW][C]p-value[/C][C](0.9065)[/C][C](0.9104)[/C][C](0.9011)[/C][/ROW]
[ROW][C]PC;Geslacht[/C][C]-0.2076[/C][C]-0.2371[/C][C]-0.2051[/C][/ROW]
[ROW][C]p-value[/C][C](0.0132)[/C][C](0.0045)[/C][C](0.0049)[/C][/ROW]
[ROW][C]Ha;De[/C][C]-0.542[/C][C]-0.467[/C][C]-0.3666[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Ha;DM[/C][C]-0.0199[/C][C]0.0246[/C][C]0.0182[/C][/ROW]
[ROW][C]p-value[/C][C](0.8142)[/C][C](0.7711)[/C][C](0.7856)[/C][/ROW]
[ROW][C]Ha;DV[/C][C]0.0246[/C][C]0.0375[/C][C]0.0303[/C][/ROW]
[ROW][C]p-value[/C][C](0.7717)[/C][C](0.658)[/C][C](0.6451)[/C][/ROW]
[ROW][C]Ha;DO[/C][C]0.0051[/C][C]0.0398[/C][C]0.0308[/C][/ROW]
[ROW][C]p-value[/C][C](0.9524)[/C][C](0.6378)[/C][C](0.6295)[/C][/ROW]
[ROW][C]Ha;Geslacht[/C][C]-0.1731[/C][C]-0.1649[/C][C]-0.1426[/C][/ROW]
[ROW][C]p-value[/C][C](0.0394)[/C][C](0.0499)[/C][C](0.0502)[/C][/ROW]
[ROW][C]De;DM[/C][C]0.011[/C][C]-0.0143[/C][C]-0.0131[/C][/ROW]
[ROW][C]p-value[/C][C](0.8969)[/C][C](0.8662)[/C][C](0.844)[/C][/ROW]
[ROW][C]De;DV[/C][C]0.0684[/C][C]0.0116[/C][C]0.0107[/C][/ROW]
[ROW][C]p-value[/C][C](0.4189)[/C][C](0.8913)[/C][C](0.8699)[/C][/ROW]
[ROW][C]De;DO[/C][C]0.0462[/C][C]-0.0042[/C][C]2e-04[/C][/ROW]
[ROW][C]p-value[/C][C](0.5851)[/C][C](0.9605)[/C][C](0.9971)[/C][/ROW]
[ROW][C]De;Geslacht[/C][C]-0.0833[/C][C]-0.1042[/C][C]-0.0894[/C][/ROW]
[ROW][C]p-value[/C][C](0.3245)[/C][C](0.217)[/C][C](0.2158)[/C][/ROW]
[ROW][C]DM;DV[/C][C]0.7041[/C][C]0.6716[/C][C]0.6001[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]DM;DO[/C][C]0.9053[/C][C]0.8879[/C][C]0.8173[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]DM;Geslacht[/C][C]-0.039[/C][C]-0.0706[/C][C]-0.0648[/C][/ROW]
[ROW][C]p-value[/C][C](0.6446)[/C][C](0.4036)[/C][C](0.4017)[/C][/ROW]
[ROW][C]DV;DO[/C][C]0.9391[/C][C]0.9157[/C][C]0.8564[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]DV;Geslacht[/C][C]-0.1902[/C][C]-0.2158[/C][C]-0.1951[/C][/ROW]
[ROW][C]p-value[/C][C](0.0234)[/C][C](0.0099)[/C][C](0.0104)[/C][/ROW]
[ROW][C]DO;Geslacht[/C][C]-0.1327[/C][C]-0.1539[/C][C]-0.1347[/C][/ROW]
[ROW][C]p-value[/C][C](0.1154)[/C][C](0.0675)[/C][C](0.0677)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109973&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109973&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
PE;PC	0.5694	0.4394	0.3451
p-value	(0)	(0)	(0)
PE;Ha	0.0975	0.078	0.055
p-value	(0.2483)	(0.3559)	(0.3776)
PE;De	0.0194	-0.0063	-0.0074
p-value	(0.8189)	(0.9404)	(0.9046)
PE;DM	0.0292	0.0763	0.0624
p-value	(0.7297)	(0.3668)	(0.3447)
PE;DV	0.0913	0.1176	0.09
p-value	(0.2799)	(0.1633)	(0.1669)
PE;DO	0.0688	0.1277	0.0942
p-value	(0.4161)	(0.1299)	(0.1354)
PE;Geslacht	-0.2396	-0.2789	-0.2383
p-value	(0.0041)	(8e-04)	(9e-04)
PC;Ha	-0.0662	-0.0399	-0.0298
p-value	(0.4338)	(0.6374)	(0.6371)
PC;De	0.0969	0.0748	0.0589
p-value	(0.2514)	(0.376)	(0.3468)
PC;DM	-0.0513	-0.0108	-0.0058
p-value	(0.5441)	(0.8985)	(0.9313)
PC;DV	0.0249	0.017	0.0102
p-value	(0.7685)	(0.8407)	(0.8769)
PC;DO	-0.0099	0.0095	0.0079
p-value	(0.9065)	(0.9104)	(0.9011)
PC;Geslacht	-0.2076	-0.2371	-0.2051
p-value	(0.0132)	(0.0045)	(0.0049)
Ha;De	-0.542	-0.467	-0.3666
p-value	(0)	(0)	(0)
Ha;DM	-0.0199	0.0246	0.0182
p-value	(0.8142)	(0.7711)	(0.7856)
Ha;DV	0.0246	0.0375	0.0303
p-value	(0.7717)	(0.658)	(0.6451)
Ha;DO	0.0051	0.0398	0.0308
p-value	(0.9524)	(0.6378)	(0.6295)
Ha;Geslacht	-0.1731	-0.1649	-0.1426
p-value	(0.0394)	(0.0499)	(0.0502)
De;DM	0.011	-0.0143	-0.0131
p-value	(0.8969)	(0.8662)	(0.844)
De;DV	0.0684	0.0116	0.0107
p-value	(0.4189)	(0.8913)	(0.8699)
De;DO	0.0462	-0.0042	2e-04
p-value	(0.5851)	(0.9605)	(0.9971)
De;Geslacht	-0.0833	-0.1042	-0.0894
p-value	(0.3245)	(0.217)	(0.2158)
DM;DV	0.7041	0.6716	0.6001
p-value	(0)	(0)	(0)
DM;DO	0.9053	0.8879	0.8173
p-value	(0)	(0)	(0)
DM;Geslacht	-0.039	-0.0706	-0.0648
p-value	(0.6446)	(0.4036)	(0.4017)
DV;DO	0.9391	0.9157	0.8564
p-value	(0)	(0)	(0)
DV;Geslacht	-0.1902	-0.2158	-0.1951
p-value	(0.0234)	(0.0099)	(0.0104)
DO;Geslacht	-0.1327	-0.1539	-0.1347
p-value	(0.1154)	(0.0675)	(0.0677)

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