I have two options for you:
plumber allows you to create a REST API by decorating your existing R source
code with special comments.
A small example file:
# myfile.R
#* @get /mean
normalMean <- function(samples=10){
data <- rnorm(samples)
mean(data)
}
#* @post /sum
addTwo <- function(a, b){
as.numeric(a) + as.numeric(b)
}
From the R command line:
> library(plumber)
> r <- plumb("myfile.R") # Where 'myfile.R' is the location of the file shown above
> r$run(port=8000)
With this you would get results like this:
$ curl "http://localhost:8000/mean"
[-0.254]
$ curl "http://localhost:8000/mean?samples=10000"
[-0.0038]
Jug is a small web development framework for R which relies heavily upon
the httpuv package. It’s main focus is to make building APIs for your
code as easy as possible. It is not supposed to be either an
especially performant nor an uber stable web framework. Other tools
(and languages) might be more suited for that. It’s main focus is to
easily allow you to create APIs for your R code. However, the
flexibility of Jug means that, in theory, you could built an extensive
web framework with it.
It very easy to learn and has a nice vignette.
An Hello-World-example:
library(jug)
jug() %>%
get("/", function(req, res, err){
"Hello World!"
}) %>%
simple_error_handler_json() %>%
serve_it()
