Visualization of a Correlation Matrix. On top the (absolute) value of the correlation plus the result of the cor.test as stars. On bottom, the bivariate scatterplots, with a fitted line
chart.Correlation(
R,
histogram = TRUE,
method = c("pearson", "kendall", "spearman"),
pch = 1,
...
)data for the x axis, can take matrix,vector, or timeseries
TRUE/FALSE whether or not to display a histogram
a character string indicating which correlation coefficient (or covariance) is to be computed. One of "pearson" (default), "kendall", or "spearman", can be abbreviated.
See par
any other passthru parameters into pairs
based on plot at originally found at addictedtor.free.fr/graphiques/sources/source_137.R
data(managers)
chart.Correlation(managers[,1:8], histogram=TRUE, pch="+")