cor.sign: Correlation Matrix

In StatDA: Statistical Analysis for Environmental Data

Description

Computes correlation matrix of x with method "pearson", "kendall" or "spearman". This function also prints the matrix with the significance levels.

Usage

cor.sign(x, method = c("pearson", "kendall", "spearman"))

Arguments

x	the data
method	the method used

Details

This function estimate the association between paired samples an compute a test of the value being zero. All measures of association are in the range [-1,1] with 0 indicating no association.

Value

cor	Correlation matrix
p.value	p-value of the test statistic

Author(s)

Peter Filzmoser <[e-mail]> http://cstat.tuwien.ac.at/filz/

References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.

See Also

cor.test

Examples

data(chorizon)
x=chorizon[,c("Ca","Cu","Mg","Na","P","Sr","Zn")]

cor.sign(log10(x),method="spearman")

Example output

Loading required package: geoR
--------------------------------------------------------------
 Analysis of Geostatistical Data
 For an Introduction to geoR go to http://www.leg.ufpr.br/geoR
 geoR version 1.7-5.2.1 (built on 2016-05-02) is now loaded
--------------------------------------------------------------

Loading required package: sgeostat
Warning messages:
1: no DISPLAY variable so Tk is not available 
2: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
3: 'rgl_init' failed, running with rgl.useNULL = TRUE 
4: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
   Ca   Cu   Mg   Na   P    Sr   Zn  
Ca 1.00 ***  ***  ***  ***  ***  *   
Cu 0.29 1.00 ***  ***  ***  ***  *** 
Mg 0.26 0.77 1.00 ***  ***  ***  *** 
Na 0.79 0.26 0.16 1.00 ***  ***      
P  0.62 0.18 0.21 0.38 1.00 ***  *** 
Sr 0.70 0.35 0.39 0.63 0.47 1.00 *** 
Zn 0.08 0.66 0.71 0.05 0.20 0.41 1.00

There were 21 warnings (use warnings() to see them)

StatDA documentation built on March 13, 2020, 2:42 a.m.