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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 07 Dec 2012 07:36:36 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/07/t1354883910kt6bttmg0wstv5e.htm/, Retrieved Thu, 18 Apr 2024 14:54:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197337, Retrieved Thu, 18 Apr 2024 14:54:28 +0000

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-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [WS10 Pearson Corr...] [2012-12-07 12:36:36] [7ac586d7aaad1f98cbd1d1bd98b37cf0] [Current]
-   P       [Kendall tau Correlation Matrix] [WS10 Kendall's ta...] [2012-12-07 12:48:40] [3e2c7966ca4198d187b4c59e4eb5d004] 

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Dataseries X:

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2.7	8.4	4.3	1.5	2.2	2.1
2.5	7.5	3.1	1.7	2.3	2.2
2.2	4.0	5.7	1.6	2.1	2.2
2.9	8.5	6.7	1.7	2.8	2.7
3.1	7.6	9.5	1.8	3.1	3.1
3.0	5.5	9.0	1.7	2.9	3.2
2.8	3.3	6.9	2.2	2.6	3.1
2.5	1.4	7.5	2.7	2.7	3.1
1.9	-4.4	7.0	3.0	2.3	2.8
1.9	-6.5	9.3	2.8	2.3	3.0
1.8	-8.5	7.2	2.7	2.1	2.8
2.0	-6.7	6.6	2.7	2.2	2.7
2.6	-3.3	10.4	2.5	2.9	3.2
2.5	-5.1	8.7	2.0	2.6	3.1
2.5	-3.5	7.9	1.8	2.7	3.0
1.6	-3.6	4.1	1.4	1.8	2.0
1.4	-6.3	2.2	1.5	1.3	1.7
0.8	-8.0	-0.5	1.6	0.9	1.2
1.1	-5.3	1.7	1.3	1.3	1.4
1.3	-4.0	0.4	1.1	1.3	1.3
1.2	-4.0	2.6	0.8	1.3	1.3
1.3	0.1	0.7	1.1	1.3	1.1
1.1	-0.9	0.7	1.3	1.1	0.9
1.3	1.1	0.5	1.5	1.4	1.2
1.2	3.1	-2.3	1.8	1.2	0.9
1.6	5.7	0.3	2.7	1.7	1.3
1.7	6.2	-0.2	3.0	1.8	1.4
1.5	-2.2	0.6	3.2	1.5	1.5
0.9	-4.2	-0.6	3.2	1.0	1.1
1.5	-1.6	2.7	3.3	1.6	1.6
1.4	-1.9	2.3	3.2	1.5	1.5
1.6	 0.2	4.3	2.9	1.8	1.6
1.7	-1.2	5.4	2.7	1.8	1.7
1.4	-2.4	2.6	2.6	1.6	1.6
1.8	0.8	2.9	2.3	1.9	1.7
1.7	-0.1	2.9	2.2	1.7	1.6
1.4	-1.5	2.9	2.1	1.6	1.6
1.2	-4.4	1.4	2.4	1.3	1.3
1.0	-4.2	1.1	2.5	1.1	1.1
1.7	3.5	1.9	2.4	1.9	1.6
2.4	10.0	2.8	2.3	2.6	1.9
2.0	8.6	1.4	2.1	2.3	1.6
2.1	9.5	0.7	2.3	2.4	1.7
2.0	9.9	-0.8	2.2	2.2	1.6
1.8	10.4	-3.1	2.1	2.0	1.4
2.7	16.0	0.1	2.0	2.9	2.1
2.3	12.7	1.0	2.1	2.6	1.9
1.9	10.2	1.9	2.1	2.3	1.7
2.0	8.9	-0.5	2.5	2.3	1.8
2.3	12.6	1.5	2.2	2.6	2.0
2.8	13.6	3.9	2.3	3.1	2.5
2.4	14.8	1.9	2.3	2.8	2.1
2.3	9.5	2.6	2.2	2.5	2.1
2.7	13.7	1.7	2.2	2.9	2.3
2.7	17.0	1.4	1.6	3.1	2.4
2.9	14.7	2.8	1.8	3.1	2.4
3.0	17.4	0.5	1.7	3.2	2.3
2.2	9.0	1.0	1.9	2.5	1.7
2.3	9.1	1.5	1.8	2.6	2.0
2.8	12.2	1.8	1.9	2.9	2.3
2.8	15.9	2.7	1.5	2.6	2.0
2.8	12.9	3.0	1.0	2.4	2.0
2.2	10.9	-0.3	0.8	1.7	1.3
2.6	10.6	1.1	1.1	2.0	1.7
2.8	13.2	1.7	1.5	2.2	1.9
2.5	9.6	1.6	1.7	1.9	1.7
2.4	6.4	3.0	2.3	1.6	1.6
2.3	5.8	3.3	2.4	1.6	1.7
1.9	-1.0	6.7	3.0	1.2	1.8
1.7	-0.2	5.6	3.0	1.2	1.9
2.0	2.7	6.0	3.2	1.5	1.9
2.1	3.6	4.8	3.2	1.6	1.9
1.7	-0.9	5.9	3.2	1.7	2.0
1.8	0.3	4.3	3.5	1.8	2.1
1.8	-1.1	3.7	4.0	1.8	1.9
1.8	-2.5	5.6	4.3	1.8	1.9
1.3	-3.4	1.7	4.1	1.3	1.3
1.3	-3.5	3.2	4.0	1.3	1.3
1.3	-3.9	3.6	4.1	1.4	1.4
1.2	-4.6	1.7	4.2	1.1	1.2
1.4	-0.1	0.5	4.5	1.5	1.3
2.2	4.3	2.1	5.6	2.2	1.8
2.9	10.2	1.5	6.5	2.9	2.2
3.1	8.7	2.7	7.6	3.1	2.6
3.5	13.3	1.4	8.5	3.5	2.8
3.6	15.0	1.2	8.7	3.6	3.1
4.4	20.7	2.3	8.3	4.4	3.9
4.1	20.7	1.6	8.3	4.2	3.7
5.1	26.4	4.7	8.5	5.2	4.6
5.8	31.2	3.5	8.7	5.8	5.1
5.9	31.4	4.4	8.7	5.9	5.2
5.4	26.6	3.9	8.5	5.4	4.9
5.5	26.6	3.5	7.9	5.5	5.1
4.8	19.2	3.0	7.0	4.7	4.8
3.2	6.5	1.6	5.8	3.1	3.9
2.7	3.1	2.2	4.5	2.6	3.5
2.1	-0.2	4.1	3.7	2.3	3.3
1.9	-4.0	4.3	3.1	1.9	2.8
0.6	-12.6	3.5	2.7	0.6	1.6
0.7	-13.0	1.8	2.3	0.6	1.5
-0.2	-17.6	0.6	1.8	-0.4	0.7
-1.0	-21.7	-0.4	1.5	-1.1	-0.1
-1.7	-23.2	-2.5	1.2	-1.7	-0.7
-0.7	-16.8	-1.6	1.0	-0.8	-0.2
-1.0	-19.8	-1.9	0.9	-1.2	-0.6
-0.9	-17.2	-1.6	0.6	-1.0	-0.6
0.0	-10.4	-0.7	0.6	-0.1	-0.3
0.3	-6.8	-1.1	0.7	0.3	-0.3
0.8	-2.9	0.3	0.5	0.6	-0.1
0.8	-1.9	1.3	0.5	0.7	0.1
1.9	7.0	3.3	0.5	1.7	0.9
2.1	9.8	2.4	0.5	1.8	1.1
2.5	12.5	2.0	0.8	2.3	1.6
2.7	13.7	3.9	0.8	2.5	2.0
2.4	13.7	4.2	1.1	2.6	2.2
2.4	9.7	4.9	1.2	2.3	2.1
2.9	14.0	5.8	1.5	2.9	2.6
3.1	15.3	4.8	1.7	3.0	2.5
3.0	13.4	4.4	1.8	2.9	2.5
3.4	17.1	5.3	1.8	3.1	2.6
3.7	15.7	2.1	2.1	3.2	2.7
3.5	18.3	2.0	2.2	3.4	2.8
3.5	18.1	-0.9	2.5	3.5	2.9
3.3	16.3	0.1	2.7	3.4	2.9
3.1	15.8	-0.5	3.0	3.3	2.9
3.4	17.3	-0.1	3.4	3.7	3.3
4.0	18.0	0.7	3.4	3.8	3.3
3.4	17.6	-0.4	3.5	3.6	3.1
3.4	18.4	-1.5	3.5	3.6	3.0
3.4	17.4	-0.3	3.4	3.6	3.1
3.7	17.9	1.0	3.6	3.8	3.4
3.2	13.5	0.4	3.8	3.5	3.2
3.3	13.7	0.3	3.5	3.6	3.4
3.3	12.6	1.8	3.5	3.7	3.4
3.1	10.4	3.0	3.5	3.4	3.1
2.9	8.8	2.2	3.2	3.2	3.0
2.6	5.4	3.4	2.9	2.8	2.7
2.2	2.1	3.4	2.5	2.3	2.2
2.0	2.8	3.1	2.3	2.3	2.2
2.6	5.6	4.5	2.7	2.9	2.6
2.6	4.8	4.6	3.0	2.8	2.4
2.6	4.5	5.7	3.3	2.8	2.5
2.2	1.5	4.3	3.2	2.3	2.2

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	'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197337&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197337&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	'Sir Maurice George Kendall' @ kendall.wessa.net

Correlations for all pairs of data series (method=pearson)
	HICP	Energiedragers	Niet-bewerkte_levensmiddelen	Bewerkte_levensmiddelen	Algemene_index	Gezondheidsindex
HICP	1	0.91	0.273	0.599	0.98	0.916
Energiedragers	0.91	1	-0.007	0.425	0.894	0.708
Niet-bewerkte_levensmiddelen	0.273	-0.007	1	0.086	0.256	0.424
Bewerkte_levensmiddelen	0.599	0.425	0.086	1	0.604	0.653
Algemene_index	0.98	0.894	0.256	0.604	1	0.928
Gezondheidsindex	0.916	0.708	0.424	0.653	0.928	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & HICP & Energiedragers & Niet-bewerkte_levensmiddelen & Bewerkte_levensmiddelen & Algemene_index & Gezondheidsindex \tabularnewline
HICP & 1 & 0.91 & 0.273 & 0.599 & 0.98 & 0.916 \tabularnewline
Energiedragers & 0.91 & 1 & -0.007 & 0.425 & 0.894 & 0.708 \tabularnewline
Niet-bewerkte_levensmiddelen & 0.273 & -0.007 & 1 & 0.086 & 0.256 & 0.424 \tabularnewline
Bewerkte_levensmiddelen & 0.599 & 0.425 & 0.086 & 1 & 0.604 & 0.653 \tabularnewline
Algemene_index & 0.98 & 0.894 & 0.256 & 0.604 & 1 & 0.928 \tabularnewline
Gezondheidsindex & 0.916 & 0.708 & 0.424 & 0.653 & 0.928 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197337&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]HICP[/C][C]Energiedragers[/C][C]Niet-bewerkte_levensmiddelen[/C][C]Bewerkte_levensmiddelen[/C][C]Algemene_index[/C][C]Gezondheidsindex[/C][/ROW]
[ROW][C]HICP[/C][C]1[/C][C]0.91[/C][C]0.273[/C][C]0.599[/C][C]0.98[/C][C]0.916[/C][/ROW]
[ROW][C]Energiedragers[/C][C]0.91[/C][C]1[/C][C]-0.007[/C][C]0.425[/C][C]0.894[/C][C]0.708[/C][/ROW]
[ROW][C]Niet-bewerkte_levensmiddelen[/C][C]0.273[/C][C]-0.007[/C][C]1[/C][C]0.086[/C][C]0.256[/C][C]0.424[/C][/ROW]
[ROW][C]Bewerkte_levensmiddelen[/C][C]0.599[/C][C]0.425[/C][C]0.086[/C][C]1[/C][C]0.604[/C][C]0.653[/C][/ROW]
[ROW][C]Algemene_index[/C][C]0.98[/C][C]0.894[/C][C]0.256[/C][C]0.604[/C][C]1[/C][C]0.928[/C][/ROW]
[ROW][C]Gezondheidsindex[/C][C]0.916[/C][C]0.708[/C][C]0.424[/C][C]0.653[/C][C]0.928[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197337&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)
	HICP	Energiedragers	Niet-bewerkte_levensmiddelen	Bewerkte_levensmiddelen	Algemene_index	Gezondheidsindex
HICP	1	0.91	0.273	0.599	0.98	0.916
Energiedragers	0.91	1	-0.007	0.425	0.894	0.708
Niet-bewerkte_levensmiddelen	0.273	-0.007	1	0.086	0.256	0.424
Bewerkte_levensmiddelen	0.599	0.425	0.086	1	0.604	0.653
Algemene_index	0.98	0.894	0.256	0.604	1	0.928
Gezondheidsindex	0.916	0.708	0.424	0.653	0.928	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
HICP;Energiedragers	0.9098	0.8723	0.7128
p-value	(0)	(0)	(0)
HICP;Niet-bewerkte_levensmiddelen	0.2729	0.2011	0.1439
p-value	(0.001)	(0.016)	(0.0121)
HICP;Bewerkte_levensmiddelen	0.5986	0.3602	0.2425
p-value	(0)	(0)	(0)
HICP;Algemene_index	0.9804	0.9575	0.8667
p-value	(0)	(0)	(0)
HICP;Gezondheidsindex	0.9155	0.8725	0.7239
p-value	(0)	(0)	(0)
Energiedragers;Niet-bewerkte_levensmiddelen	-0.0068	-0.0704	-0.0598
p-value	(0.9353)	(0.4035)	(0.2925)
Energiedragers;Bewerkte_levensmiddelen	0.4253	0.2111	0.139
p-value	(0)	(0.0114)	(0.0151)
Energiedragers;Algemene_index	0.8937	0.8408	0.6832
p-value	(0)	(0)	(0)
Energiedragers;Gezondheidsindex	0.708	0.6048	0.4674
p-value	(0)	(0)	(0)
Niet-bewerkte_levensmiddelen;Bewerkte_levensmiddelen	0.0858	0.1541	0.1063
p-value	(0.3082)	(0.0662)	(0.064)
Niet-bewerkte_levensmiddelen;Algemene_index	0.2564	0.1707	0.1223
p-value	(0.002)	(0.0415)	(0.0334)
Niet-bewerkte_levensmiddelen;Gezondheidsindex	0.4239	0.4088	0.3139
p-value	(0)	(0)	(0)
Bewerkte_levensmiddelen;Algemene_index	0.6042	0.411	0.2874
p-value	(0)	(0)	(0)
Bewerkte_levensmiddelen;Gezondheidsindex	0.6534	0.5163	0.3825
p-value	(0)	(0)	(0)
Algemene_index;Gezondheidsindex	0.9283	0.8984	0.7557
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
HICP;Energiedragers & 0.9098 & 0.8723 & 0.7128 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
HICP;Niet-bewerkte_levensmiddelen & 0.2729 & 0.2011 & 0.1439 \tabularnewline
p-value & (0.001) & (0.016) & (0.0121) \tabularnewline
HICP;Bewerkte_levensmiddelen & 0.5986 & 0.3602 & 0.2425 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
HICP;Algemene_index & 0.9804 & 0.9575 & 0.8667 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
HICP;Gezondheidsindex & 0.9155 & 0.8725 & 0.7239 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Energiedragers;Niet-bewerkte_levensmiddelen & -0.0068 & -0.0704 & -0.0598 \tabularnewline
p-value & (0.9353) & (0.4035) & (0.2925) \tabularnewline
Energiedragers;Bewerkte_levensmiddelen & 0.4253 & 0.2111 & 0.139 \tabularnewline
p-value & (0) & (0.0114) & (0.0151) \tabularnewline
Energiedragers;Algemene_index & 0.8937 & 0.8408 & 0.6832 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Energiedragers;Gezondheidsindex & 0.708 & 0.6048 & 0.4674 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Niet-bewerkte_levensmiddelen;Bewerkte_levensmiddelen & 0.0858 & 0.1541 & 0.1063 \tabularnewline
p-value & (0.3082) & (0.0662) & (0.064) \tabularnewline
Niet-bewerkte_levensmiddelen;Algemene_index & 0.2564 & 0.1707 & 0.1223 \tabularnewline
p-value & (0.002) & (0.0415) & (0.0334) \tabularnewline
Niet-bewerkte_levensmiddelen;Gezondheidsindex & 0.4239 & 0.4088 & 0.3139 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Bewerkte_levensmiddelen;Algemene_index & 0.6042 & 0.411 & 0.2874 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Bewerkte_levensmiddelen;Gezondheidsindex & 0.6534 & 0.5163 & 0.3825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Algemene_index;Gezondheidsindex & 0.9283 & 0.8984 & 0.7557 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197337&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]HICP;Energiedragers[/C][C]0.9098[/C][C]0.8723[/C][C]0.7128[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]HICP;Niet-bewerkte_levensmiddelen[/C][C]0.2729[/C][C]0.2011[/C][C]0.1439[/C][/ROW]
[ROW][C]p-value[/C][C](0.001)[/C][C](0.016)[/C][C](0.0121)[/C][/ROW]
[ROW][C]HICP;Bewerkte_levensmiddelen[/C][C]0.5986[/C][C]0.3602[/C][C]0.2425[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]HICP;Algemene_index[/C][C]0.9804[/C][C]0.9575[/C][C]0.8667[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]HICP;Gezondheidsindex[/C][C]0.9155[/C][C]0.8725[/C][C]0.7239[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Energiedragers;Niet-bewerkte_levensmiddelen[/C][C]-0.0068[/C][C]-0.0704[/C][C]-0.0598[/C][/ROW]
[ROW][C]p-value[/C][C](0.9353)[/C][C](0.4035)[/C][C](0.2925)[/C][/ROW]
[ROW][C]Energiedragers;Bewerkte_levensmiddelen[/C][C]0.4253[/C][C]0.2111[/C][C]0.139[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0114)[/C][C](0.0151)[/C][/ROW]
[ROW][C]Energiedragers;Algemene_index[/C][C]0.8937[/C][C]0.8408[/C][C]0.6832[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Energiedragers;Gezondheidsindex[/C][C]0.708[/C][C]0.6048[/C][C]0.4674[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Niet-bewerkte_levensmiddelen;Bewerkte_levensmiddelen[/C][C]0.0858[/C][C]0.1541[/C][C]0.1063[/C][/ROW]
[ROW][C]p-value[/C][C](0.3082)[/C][C](0.0662)[/C][C](0.064)[/C][/ROW]
[ROW][C]Niet-bewerkte_levensmiddelen;Algemene_index[/C][C]0.2564[/C][C]0.1707[/C][C]0.1223[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](0.0415)[/C][C](0.0334)[/C][/ROW]
[ROW][C]Niet-bewerkte_levensmiddelen;Gezondheidsindex[/C][C]0.4239[/C][C]0.4088[/C][C]0.3139[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Bewerkte_levensmiddelen;Algemene_index[/C][C]0.6042[/C][C]0.411[/C][C]0.2874[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Bewerkte_levensmiddelen;Gezondheidsindex[/C][C]0.6534[/C][C]0.5163[/C][C]0.3825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Algemene_index;Gezondheidsindex[/C][C]0.9283[/C][C]0.8984[/C][C]0.7557[/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=197337&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197337&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
HICP;Energiedragers	0.9098	0.8723	0.7128
p-value	(0)	(0)	(0)
HICP;Niet-bewerkte_levensmiddelen	0.2729	0.2011	0.1439
p-value	(0.001)	(0.016)	(0.0121)
HICP;Bewerkte_levensmiddelen	0.5986	0.3602	0.2425
p-value	(0)	(0)	(0)
HICP;Algemene_index	0.9804	0.9575	0.8667
p-value	(0)	(0)	(0)
HICP;Gezondheidsindex	0.9155	0.8725	0.7239
p-value	(0)	(0)	(0)
Energiedragers;Niet-bewerkte_levensmiddelen	-0.0068	-0.0704	-0.0598
p-value	(0.9353)	(0.4035)	(0.2925)
Energiedragers;Bewerkte_levensmiddelen	0.4253	0.2111	0.139
p-value	(0)	(0.0114)	(0.0151)
Energiedragers;Algemene_index	0.8937	0.8408	0.6832
p-value	(0)	(0)	(0)
Energiedragers;Gezondheidsindex	0.708	0.6048	0.4674
p-value	(0)	(0)	(0)
Niet-bewerkte_levensmiddelen;Bewerkte_levensmiddelen	0.0858	0.1541	0.1063
p-value	(0.3082)	(0.0662)	(0.064)
Niet-bewerkte_levensmiddelen;Algemene_index	0.2564	0.1707	0.1223
p-value	(0.002)	(0.0415)	(0.0334)
Niet-bewerkte_levensmiddelen;Gezondheidsindex	0.4239	0.4088	0.3139
p-value	(0)	(0)	(0)
Bewerkte_levensmiddelen;Algemene_index	0.6042	0.411	0.2874
p-value	(0)	(0)	(0)
Bewerkte_levensmiddelen;Gezondheidsindex	0.6534	0.5163	0.3825
p-value	(0)	(0)	(0)
Algemene_index;Gezondheidsindex	0.9283	0.8984	0.7557
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code