r - Creating bivariate normal distribution ellipse on plot that has log-transformed x and y axis -


although have found many answers on how draw bivariate normal distribution ellipse on existing plot, have question regarding plotting ellipse onto existing plot x- , y-axis log-transformed.

as example have following data add ellipse

library(mixtools) library(truncnorm) x<-rtruncnorm(n=100, a=0, b=20) y=1+.3*x+.3*rnorm(100) data<-cbind(x,y) mu <-c(mean(x), mean(y))  sigma <- var(data)  plot(data) ellipse(mu, sigma, alpha=0.1, npoints = 200, newplot = false)

enter image description here

however, actual data requires use log transformed x- , y-axis, so

plot(data,log="xy")

when plotting "ellipse" function, no longer ellipse

ellipse(mu, sigma, alpha=0.1, npoints = 200, newplot = false)

enter image description here

adding "log" ellipse function specifications no option

ellipse(mu, sigma, alpha=0.1, npoints = 200, newplot = false,log="xy")

warning message: in plot.xy(xy.coords(x, y), type = type, ...) : "log" not graphical parameter.

can me out one?

thank you!

package car can handle ellipses in log-transformed space. here taste of can do. 1 line without log argument while full ellipse log argument.

library(car) plot.default(data, log = "xy") car::ellipse(center = log(mu), shape = sigma, radius = 3, center.pch = null)

enter image description here


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