Plotting RESI Estimates and CIs — ggplot.resi • RESI

This function uses ggplot2 graphics to plot robust effect size (RESI) estimates and confidence intervals from `resi`, `summary_resi`, and `anova_resi` objects.

Usage

# S3 method for class 'resi'
ggplot(data, mapping, alpha = NULL, error.bars = TRUE, ..., environment)

Arguments

data: Object of `resi`, `summary_resi`, or `anova_resi` class
mapping: Ignored, included for consistency with `ggplot` generic
alpha: Numeric, desired alpha level for confidence intervals
error.bars: Logical, whether to include end caps on the confidence intervals. Default = `TRUE`
...: Ignored
environment: Ignored, included for consistency with `ggplot` generic

Value

Returns a ggplot of RESI point estimates

Examples

# create a resi object
resi_obj <- resi(lm(charges ~ region * age + bmi + sex, data = RESI::insurance),
nboot = 10)

# plot ANOVA table
ggplot2::ggplot(anova(resi_obj))