ggally_nostic_hat | R Documentation |
ggnostic
leverage pointsA function to display stats::influence's hat information against a given explanatory variable.
ggally_nostic_hat(
data,
mapping,
...,
linePosition = 2 * sum(eval_data_col(data, mapping$y))/nrow(data),
lineColor = brew_colors("grey"),
lineSize = 0.5,
lineAlpha = 1,
lineType = 2,
avgLinePosition = sum(eval_data_col(data, mapping$y))/nrow(data),
avgLineColor = brew_colors("grey"),
avgLineSize = lineSize,
avgLineAlpha = lineAlpha,
avgLineType = 1
)
data , mapping , ... |
supplied directly to |
linePosition , lineColor , lineSize , lineAlpha , lineType |
parameters supplied to
|
avgLinePosition , avgLineColor , avgLineSize , avgLineAlpha , avgLineType |
parameters supplied
to |
As stated in stats::influence()
documentation:
hat: a vector containing the diagonal of the 'hat' matrix.
The diagonal elements of the 'hat' matrix describe the influence each response value has on the fitted value for that same observation.
A suggested "cutoff" line is added to the plot at a height of 2 * p / n and an expected line at a height of p / n.
If either linePosition
or avgLinePosition
is NULL
, the respective line will not be drawn.
ggplot2 plot object
stats::influence()
# 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_hat(dt, ggplot2::aes(wt, .hat)))
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