How do you handle R Data internal to a package?

Question

The R package I am developing requires several R data objects, such as pre-computed models and parameters.

Currently I have each object in the 'data' directory of the package in individual .RData files. When using the package users can use the "data" function to attach these objects to their environment.

The behaviour I would like instead would be that on loading the package the data objects are automatically attached to the internal package environment and not accessible to the user directly.

My understanding is that placing a 'sysdata.rda' file in the 'R' directory of the package containing the objects currently in 'data' will give me the desired result. However, is there a way to do this so that I can have each object in a separate file instead of grouped together?

Answer 1

Put your sysdata.rda file in the data directory of your package.

Do not use Lazy Data -- your DESCRIPTION file should either not have a line for LazyData, or, if it does, it should be LazyData: no

In any .R file in the R directory of your package add a line like this

data(sysdata, envir=environment())

I created a data.frame named sysdata and saved it to a file called sysdata.rda in the data directory of a package called anRpackage

I added the above line to an .R file, and also added this unexported function just to show that functions in the package have access to the data.

foo <- function() tail(sysdata, 2)

Then I see the following an R session

> library(anRpackage)
> sysdata
Error: object 'sysdata' not found

> anRpackage:::sysdata
  A  B C
1 1  6 a
2 2  7 b
3 3  8 c
4 4  9 d
5 5 10 e

> anRpackage:::foo()
  A  B C
4 4  9 d
5 5 10 e

So, users still have access to the data, but as you requested, they do not have direct access. The user still has the option to run data(sysdata).