ggplot2: behaviour with empty datasets
For example, prepare like this
df.0 <- data.frame(x = 0, y = 0, note = "1") df.1 <- subset(df.0, note == "1") df.2 <- subset(df.0, note == "2")
Then a call to
ggplot() + aes(x = x, y = y) + geom_point(data = df.1) + geom_point(data = df.2)
produces the error
Error in eval(expr, envir, enclos) : object 'x' not found
And a call to
ggplot(df.1, aes(x = x, y = y, shape = 4)) + geom_point() + geom_point(aes(shape = 1), df.2)
plots both a cross (shape = 4) and circle (shape = 1) on position (0, 0). However, as expected, only a cross should be plotted because `dt.2' is empty. So with the current behaviour, if someone writes a script to plot datasets automatically and distinguish between subsets, he will need to write different code path for empty and non-empty data subsets. I think ggplot2 can just choose to "plot nothing" for empty data subsets, and only produce error when the dataset (union of a subsets) to plot is completely empty. This can make scripting easier based on ggplot2.
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