Two pending features to metricsgraphics

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I’ve been slowly prodding the metricsgraphics package towards a 1.0.0 release, but there are some rough edges that still need sorting out. One of them is the ability to handle passing in variables for the x & y accessor values (you can pass in bare and quoted strings). This can now be achieved (in the dev01 branch) via mjs_plot_ and in mjs_plot proper in the github main branch thanks to a PR by Jonathan Owen. If everything stays stable with the PR, I’ll just fold the code into mjs_plot for the 0.9.0 CRAN release.

One other pending feature is the ability to turn basic (single geom_) ggplot objects into metricsgraphics plots. Sometimes it’s just easier/nicer to “think” in ggplot and it may be the case that one might have coded a quick histogram/scatter/line plot in ggplot and want an equally quick interactive version. This can also now be achieved (again, in beta) via as_mjsplot. While the previous addition is fairly self-explanatory, this new one needs a few examples. Please note that the package installation is coming from the dev01 branch:

devtools::install_github("hrbrmstr/metricsgraphics", ref="dev01") 
dat <- data.frame(year=seq(1790, 1970, 10),
movies <- movies[sample(nrow(movies), 1000), ]
gg1 <- ggplot(dat, aes(x=year, y=uspop)) + geom_line()
gg2 <- ggplot(dat, aes(x=year, y=uspop)) + geom_point()
gg3 <- ggplot(movies, aes(rating)) + geom_histogram()
gg4 <- ggplot(movies, aes(rating)) + geom_histogram(binwidth = 0.1)

Which you can see below:

As you can see, as_mjsplot will do it’s best to figure out the bins (if using geom_histogram) and also axis labels. Support for converting geom_vline and geom_hline to markers and baselines (respectively) is a work in progress.

I’ve only done limited testing with some basic single geom_ constructs, but if there are any bugs with it or feature requests (remember, the MetricsGraphics.js library has a very limited repertoire) please post an issue on GitHub tagging the dev01 branch.

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