![]() This is inline with the 2nd edition of the ggplot2 book, which eliminates qplot() in favour of ggplot(). Thanks to Bob Rudis, the use of qplot() in examples has been grealy reduced. In some cases this has involved adding additional arguments to geoms to make it more clear what you can do. so that you can see all the documentation in one place rather than having to follow links around. Similarly, variations on a theme (like geom_path(), geom_line(), and geom_step()) are documented together. ![]() geom_boxplot() and stat_boxplot()) are now documented in the same file so you can see all the arguments in one place. I’ve given the documentation a thorough overhaul: Ggplot(mtcars, aes(wt, mpg)) + geom_point() + facet_grid(am ~ vs + cyl, labeller = my_labeller) Instead, the border has been tweaked to make it visible, and more closely match the size of line drawn on the plot. Continue to use scale_size_area() if you want 0 values to have 0 area.īar and rectangle legends no longer get a diagonal line. Use scale_radius() if you want the old behaviour (not recommended, except perhaps for lines). Scale_size() now maps values to area, not radius. Once that was resolved the defaults seemed too big to my eyes. It turns out there was a bug in RStudio ( fixed in 0.99.724), that shrunk the text of all grid based graphics. You might be surprised that I’ve made the default text size smaller as it was already hard for many people to read. The default font size dropped from 12 to 11. Axis labels are darker, and legend titles get the same visual treatment as axis labels. Labels and titles have been tweaked for readability. The default theme_grey() background colour has been changed from “grey90” to “grey92”: this makes the background a little less visually prominent. I’ve made a number of small tweaks to the default appearance: # Same as ggplot(mpg, aes(displ, cty)) + geom_point() Ggplot(mpg, aes_( ~displ, ~cty)) + geom_point() check_overlap = TRUE provides a simple way to avoid overplotting of labels: labels that would otherwise overlap are omitted. You can use nudge_x and nudge_y arguments to offset labels from their corresponding points. Geom_text() has been overhauled to make labelling your data a little easier. This is likely to cause some short-term pain but in the long-term it will make it much easier to spot spelling mistakes and other errors. Now geom_smooth()/ stat_smooth() and geom_quantile()/ stat_quantile() use method.args instead and stat_summary(), stat_summary_hex(), and stat_summary2d() use fun.args. to pass additional arguments on to the underlying computation. This breaks the handful of geoms/stats that used. Layers are now much stricter about their arguments - you will get an error if you’ve supplied an argument that isn’t an aesthetic or a parameter. If you got into the (bad) habit of using geom_histogram() to create bar charts, or geom_bar() to create histograms, you’ll need to switch. Ggplot(mpg, aes(cyl)) + geom_histogram(binwidth = 1) Instead it automatically adds geom_blank(): ![]() ggplot no longer throws an error if you your plot has no layers.Creating a new OO system isn’t usually the right solution, but I’m pretty sure it was necessary here. Unlike proto and RC, ggproto supports clean cross-package inheritance, which is necessary for extensibility. Instead, we now use ggproto, a new OO system designed specifically for ggplot2. See vignette("extending-ggplot2") for details.Ĭoupled with this change, ggplot2 no longer uses proto or reference classes. This should allow the ggplot2 community to flourish, even as less development work happens in ggplot2 itself. This means that others can now easily create their on stats, geoms and positions, and provide them in other packages. Perhaps the bigggest news in this release is that ggplot2 now has an official extension mechanism. See the release notes for a complete list of all changes. These are described in more detail below. The documentation has been overhauled to be more helpful, and require less integration across multiple pages.Ī number of older and less used features have been deprecated. The default appearance has been thoroughly tweaked so most plots should look better.įacets have a much richer set of labelling options. There are a handful of new geoms, and updates to existing geoms. Ggplot2 now has an official extension mechanism. This blog post documents the most important changes: This might break some of your existing code (although I’ve tried to minimise breakage as much as possible), but I hope the new features make up for any short term hassle. On the scale of ggplot2 releases, this one is huge with over one hundred fixes and improvements. I know I promised that there wouldn’t be any more updates, but while working on the 2nd edition of the ggplot2 book, I just couldn’t stop myself from fixing some long standing problems. I’m very pleased to announce the release of ggplot2 2.0.0.
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