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.
This exercise is part of the course
Intermediate Data Visualization with ggplot2
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# 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")