Quantiles
Here, we'll continue with the Vocab
dataset and use stat_quantile()
to apply a quantile regression.
Linear regression predicts the mean response from the explanatory variables, quantile regression predicts a quantile response (e.g. the median) from the explanatory variables. Specific quantiles can be specified with the quantiles
argument.
Specifying many quantiles and color your models according to year can make plots too busy. We'll explore ways of dealing with this in the next chapter.
Diese Übung ist Teil des Kurses
Intermediate Data Visualization with ggplot2
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
ggplot(Vocab, aes(x = education, y = vocabulary)) +
geom_jitter(alpha = 0.25) +
# Add a quantile stat, at 0.05, 0.5, and 0.95
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