A function to display stats::predict's standard errors

ggally_nostic_se_fit(
  data,
  mapping,
  ...,
  lineColor = brew_colors("grey"),
  linePosition = NULL
)

Arguments

data, mapping, ..., lineColor

parameters supplied to ggally_nostic_line

linePosition

base comparison for a perfect fit

Value

ggplot2 plot object

Details

As stated in stats::predict documentation:

If the logical 'se.fit' is 'TRUE', standard errors of the predictions are calculated. If the numeric argument 'scale' is set (with optional ''df'), it is used as the residual standard deviation in the computation of the standard errors, otherwise this is extracted from the model fit.

Since the se.fit is TRUE and scale is unset by default, the standard errors are extracted from the model fit.

A base line of 0 is added to give reference to a perfect fit.

See also

Examples

# 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_se_fit(dt, ggplot2::aes(wt, .se.fit)))