R installation

The easiest method is to install direct from this GitHub repository using:

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# R
library(devtools)
install_github("datasciencecampus/access-to-services/propeR")

Failing this, you can pull this repository and install locally using:

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# R
install("propeR/dir/here")

R building

If neither method above works. Or you wish to make changes to the package. Then you will need to build the package. Building propeR requires devtools and roxygen2:

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# R
install.packages("devtools")
install.packages("roxygen2")

Then:

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# R
build("propeR/dir/here")
install("propeR/dir/here")

Once you have installed propeR using RStudio you can now start using it in RStudio.

Docker installation

For convenience we have created a Docker image for the propeR R package.

The propeR R package can be built from the parent directory as follows:

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# Bash
cd to/propeR/dir/
docker build . --tag=dsc_proper

Or you can build from the online docker image, using:

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# Bash
docker run datasciencecampus/dsc_proper:1.0

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