A function to display stats::influence()
's sigma value.
ggally_nostic_sigma(
data,
mapping,
...,
lineColor = brew_colors("grey"),
linePosition = attr(data, "broom_glance")$sigma
)
parameters supplied to ggally_nostic_line
line that is drawn in the background of the plot. Defaults to the overall model's sigma value.
ggplot2 plot object
As stated in stats::influence()
documentation:
sigma: a vector whose i-th element contains the estimate of the residual standard deviation obtained when the i-th case is dropped from the regression. (The approximations needed for GLMs can result in this being 'NaN'.)
A line is added to display the overall model's sigma value. This gives a baseline for comparison
# Small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive
dt <- broomify(stats::lm(mpg ~ wt + qsec + am, data = mtcars))
p_(ggally_nostic_sigma(dt, ggplot2::aes(wt, .sigma)))