Adding stats to transformed scales
In the last exercise, we saw the usefulness of the coord_trans() function, but be careful! Remember that statistics are calculated on the untransformed data. A linear model may end up looking not-so-linear after an axis transformation. Let's revisit the two plots from the previous exercise and compare their linear models.
Diese Übung ist Teil des Kurses
Intermediate Data Visualization with ggplot2
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Plot with a scale_*_*() function:
ggplot(msleep, aes(bodywt, brainwt)) +
geom_point() +
geom_smooth(method = "lm", se = FALSE) +
# Add a log10 x scale
___ +
# Add a log10 y scale
___ +
ggtitle("Scale functions")