showEig | R Documentation |
This function is designed for illustrating the eigenvectors associated with the covariance matrix for a given bivariate data set. It draws a data ellipse of the data and adds vectors showing the eigenvectors of the covariance matrix.
showEig( X, col.vec = "blue", lwd.vec = 3, mult = sqrt(qchisq(levels, 2)), asp = 1, levels = c(0.5, 0.95), plot.points = TRUE, add = !plot.points, ... )
X |
A two-column matrix or data frame |
col.vec |
color for eigenvectors |
lwd.vec |
line width for eigenvectors |
mult |
length multiplier(s) for eigenvectors |
asp |
aspect ratio of plot, set to |
levels |
passed to dataEllipse determining the coverage of the data ellipse(s) |
plot.points |
logical; should the points be plotted? |
add |
logical; should this call add to an existing plot? |
... |
other arguments passed to |
Michael Friendly
dataEllipse
x <- rnorm(200) y <- .5 * x + .5 * rnorm(200) X <- cbind(x,y) showEig(X) # Duncan data data(Duncan, package="carData") showEig(Duncan[, 2:3], levels=0.68) showEig(Duncan[,2:3], levels=0.68, robust=TRUE, add=TRUE, fill=TRUE)
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