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"), ...)
R | data for the x axis, can take matrix,vector, or timeseries |
---|---|
histogram | TRUE/FALSE whether or not to display a histogram |
method | a character string indicating which correlation coefficient (or covariance) is to be computed. One of "pearson" (default), "kendall", or "spearman", can be abbreviated. |
… | any other passthru parameters into |
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="+")