card (version 0.1.0)

ggerror: Plotting Error of Models

Description

Creates a ggplot geom that can be extended and accept other ggplot layers. Shows residual error from the regression mean for different types of regression models.

Usage

ggerror(model)

Arguments

model

Model to be analyzed. The function will detect what type of family the model is (e.g. linear = "gaussian", logistic = "binomial") and plot the appropriate type of model.

Value

Returns a ggplot object of geom type, other layers can be added on as seen in example.

Details

Generate residuals for models. Currently accepts only linear models. Does not account for covariates yet, although may be able to do this in the future.

Examples

# NOT RUN {
data("twins")
model <- lm(beck_total ~ HR, data = subset(twins, hour == 7))
ggerror(model)
# }