| cor.acomp {compositions} | R Documentation |
Computes the correlation matrix in the various approaches of compositional and amount data analysis.
cor(x,y=NULL,...)
## Default S3 method:
cor(x, y=NULL, use="all.obs", method=c("pearson", "kendall", "spearman"),...)
## S3 method for class 'acomp':
cor(x,y=NULL,...)
## S3 method for class 'rcomp':
cor(x,y=NULL,...)
## S3 method for class 'aplus':
cor(x,y=NULL,...)
## S3 method for class 'rplus':
cor(x,y=NULL,...)
## S3 method for class 'rmult':
cor(x,y=NULL,...)
x |
a data set, eventually of amounts or compositions |
y |
a second data set, eventually of amounts or compositions |
use |
see cor |
method |
see cor |
... |
further arguments to cor
e.g. use |
The correlation matrix does not make much sense for compositions.
In R versions older than v2.0.0, cor was defined
in package ``base'' instead of in ``stats''.
This might produce some misfunction.
The correlation matrix.
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
data(SimulatedAmounts) mean.col(sa.lognormals) cor(acomp(sa.lognormals5[,1:3]),acomp(sa.lognormals5[,4:5])) cor(rcomp(sa.lognormals5[,1:3]),rcomp(sa.lognormals5[,4:5])) cor(aplus(sa.lognormals5[,1:3]),aplus(sa.lognormals5[,4:5])) cor(rplus(sa.lognormals5[,1:3]),rplus(sa.lognormals5[,4:5])) cor(acomp(sa.lognormals5[,1:3]),aplus(sa.lognormals5[,4:5]))