ggplot.resi {RESI} | R Documentation |
Plotting RESI Estimates and CIs
Description
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))
[Package RESI version 1.2.4 Index]