fortify.lm
From ggplot2 v3.1.0
by Hadley Wickham
Supplement the data fitted to a linear model with model fit statistics.
If you have missing values in your model data, you may need to refit
the model with na.action = na.exclude
.
- Keywords
- internal
Usage
# S3 method for lm
fortify(model, data = model$model, ...)
Arguments
- model
linear model
- data
data set, defaults to data used to fit model
- ...
not used by this method
Value
The original data with extra columns:
Diagonal of the hat matrix
Estimate of residual standard deviation when corresponding observation is dropped from model
Cooks distance, cooks.distance()
Fitted values of model
Residuals
Standardised residuals
Examples
# NOT RUN {
mod <- lm(mpg ~ wt, data = mtcars)
head(fortify(mod))
head(fortify(mod, mtcars))
plot(mod, which = 1)
ggplot(mod, aes(.fitted, .resid)) +
geom_point() +
geom_hline(yintercept = 0) +
geom_smooth(se = FALSE)
ggplot(mod, aes(.fitted, .stdresid)) +
geom_point() +
geom_hline(yintercept = 0) +
geom_smooth(se = FALSE)
ggplot(fortify(mod, mtcars), aes(.fitted, .stdresid)) +
geom_point(aes(colour = factor(cyl)))
ggplot(fortify(mod, mtcars), aes(mpg, .stdresid)) +
geom_point(aes(colour = factor(cyl)))
plot(mod, which = 2)
ggplot(mod) +
stat_qq(aes(sample = .stdresid)) +
geom_abline()
plot(mod, which = 3)
ggplot(mod, aes(.fitted, sqrt(abs(.stdresid)))) +
geom_point() +
geom_smooth(se = FALSE)
plot(mod, which = 4)
ggplot(mod, aes(seq_along(.cooksd), .cooksd)) +
geom_col()
plot(mod, which = 5)
ggplot(mod, aes(.hat, .stdresid)) +
geom_vline(size = 2, colour = "white", xintercept = 0) +
geom_hline(size = 2, colour = "white", yintercept = 0) +
geom_point() + geom_smooth(se = FALSE)
ggplot(mod, aes(.hat, .stdresid)) +
geom_point(aes(size = .cooksd)) +
geom_smooth(se = FALSE, size = 0.5)
plot(mod, which = 6)
ggplot(mod, aes(.hat, .cooksd)) +
geom_vline(xintercept = 0, colour = NA) +
geom_abline(slope = seq(0, 3, by = 0.5), colour = "white") +
geom_smooth(se = FALSE) +
geom_point()
ggplot(mod, aes(.hat, .cooksd)) +
geom_point(aes(size = .cooksd / .hat)) +
scale_size_area()
# }
Community examples
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