ggally_nostic_se_fit: 'ggnostic' fitted value's standard error

In GGally: Extension to 'ggplot2'

ggnostic fitted value's standard error

Description

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

Usage

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

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.

Value

ggplot2 plot object

See Also

stats::influence()

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)))

GGally documentation built on May 29, 2024, 8:29 a.m.