This package is at the moment just a placeholder for one function,
alt_qplot. Perhaps more functionality will get added, or this function
will move elsewhere, or this package will continue as is…
The goal of alt_qplot is to provide qplot like functionality for the
altair R package (which is a
port of the Altair python
package). Although altair
(like ggplot) is very powerful thanks to the grammar of graphics
framework, sometimes you want to very quickly make a plot and it is
handy to be able to call one simple function. The purpose of the
alt_qplot function in this package is to provide a convenient wrapper
for quickly making a plot using altair. That plot can further be
modified using altair methods, although when making anything beyond very
simple plots, using altair directly should be preferred…
library(altqplot)
#> Loading required package: altair
alt_qplot(x = mtcars$mpg)
#> The installed version of reticulate is 1.7
#> Using this version of reticulate, you will have a problem to access the vega dataset "gapminder".
#> To fix the problem, you can install the dev version of reticulate using: devtools::install_github("rstudio/reticulate")
alt_qplot(x = wt, y = mpg, data = mtcars)
You can also pass the encoding as strings. When doing so, you can specify the type (rather than altair picking its default):
alt_qplot(x = "wt", y = "mpg", color = "gear:N", data = mtcars)
You can also pass along altair’s long form encoding:
alt_qplot(x = alt$X("wt:Q", bin = TRUE),
y = alt$X("mpg:Q", bin = TRUE),
size = "count()",
data = mtcars)
It might be useful to add a few more options to the alt_qplot
function, such as facetting, although the goal is for this function to
be pretty limited (b/c if you want something more complex you should use
altair itself).
Maybe a Python version of this function/package? (although in python a simpler interface to vegalite already exists through pdvega, and all the nse nonsense in this function doesn’t really have python equivalents afaik)