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 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.

stats::influence()
# Small function to display plots only if it's interactive