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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.

Cet exercice fait partie du cours

Intermediate Data Visualization with ggplot2

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Exercice interactif pratique

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# 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")
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