calculate correlalations of multicolumn data
This is a wrapper for calculating correlation and significance against each column of the data provided.
table.Correlation(Ra, Rb, ...)
Ra |
a vector of returns to test, e.g., the asset to be examined |
Rb |
a matrix, data.frame, or timeSeries of benchmark(s) to test the asset against. |
... |
any other passthru parameters to |
Peter Carl
# First we load the data
data(managers)
table.Correlation(managers[,1:6],managers[,7:8])
result=table.Correlation(managers[,1:6],managers[,8])
rownames(result)=colnames(managers[,1:6])
require("Hmisc")
textplot(format.df(result, na.blank=TRUE, numeric.dollar=FALSE,
cdec=rep(3,dim(result)[2])), rmar = 0.8, cmar = 1.5,
max.cex=.9, halign = "center", valign = "top", row.valign="center"
, wrap.rownames=20, wrap.colnames=10, mar = c(0,0,3,0)+0.1)
title(main="Correlations to SP500 TR")
ctable = table.Correlation(managers[,1:6],managers[,8,drop=FALSE], conf.level=.99)
dotchart(ctable[,1],labels=rownames(ctable),xlim=c(-1,1))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.