lmod <- lm(Petal.Length ~ Sepal.Length + Species,
data = iris)
# similarity with built-in plot.lm functionality
residual_plot(lmod)
plot(lmod, which = 1)
# residual plot for other residual types
residual_plot(lmod, rtype = "standardized", id_n = 0)
# another residual plot with several customizations
residual_plot(lmod,
text_arglist = list(col = "blue", cex = 2),
abline_arglist = list(lwd = 2, lty = 2,
col = "brown"),
lines_arglist = list(col = "purple"),
)
# residual plot for predictors
residual_plot(lmod, xaxis = "pred", id_n = 2)
# residual plot for individual predictors
residual_plot(lmod, xaxis = "pred",
predictors = ~ Sepal.Length, id_n = 2)
residual_plot(lmod, xaxis = "pred",
predictors = ~ Species,)
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