I have a time series of data where the measurements are all integers between 1e6 and 1e8: website hits per month. I want to use ggplot2 to chart these with points and lines, but mapping the measurements to a log scale. Something like this:
qplot(month, hits, data=hits.per.month, log="y")
When I do that, ggplot seems to set the scale from 1e6 to 1e8. I want it to scale from 0 to 1e8. The natural way of doing this seems to have no affect on the output:
qplot(month, hits, data=hits.per.month, log="y", ylim=c(0, 100000000))
I can get the picture I want by transforming hits before it reaches qplot, but that changes the labels on the axis:
qplot(month, log10(hits), data=hits.per.month, log="y", ylim=c(0, 8))
I also tried various combinations with scale_y_log10
, but had no luck.
So, how do I set the Y axis range when using a log scale in ggplot2?
Much of ggplot2 is simply clearer to me if one doesn't use qplot
. That way you aren't cramming everything into a single function call:
df <- data.frame(x = 1:10,
y = seq(1e6,1e8,length.out = 10))
ggplot(data = df,aes(x = x, y =y)) +
geom_point() +
scale_y_log10(limits = c(1,1e8))
I'm going to assume you didn't really mean ay axis minimum of 0, since on a log scale that, um, is problematic.
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