Combine R CMD build and junit

[This article was first published on Romain Francois, Professional R Enthusiast, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

This is a post in the series Mixing R CMD build and ant. Previous posts have shown how to compile the java code that lives in the src directory of a package and how to document this code using javadoc.

This post tackles the problem of unit testing of the java functionality that is shipped as part of an R package. Java has several unit test platforms, we will use junit here, but similar things could be done with other systems such as testng, …

The helloJavaWorld package now looks like this :

.
|-- DESCRIPTION
|-- NAMESPACE
|-- R
|   |-- helloJavaWorld.R
|   `-- onLoad.R
|-- inst
|   |-- doc
|   |   |-- helloJavaWorld.Rnw
|   |   |-- helloJavaWorld.pdf
|   |   `-- helloJavaWorld.tex
|   `-- java
|       |-- hellojavaworld-tests.jar
|       `-- hellojavaworld.jar
|-- man
|   `-- helloJavaWorld.Rd
`-- src
    |-- Makevars
    |-- build.xml
    |-- junit
    |   `-- HelloJavaWorld_Test.java
    |-- lib
    |   `-- junit-4.7.jar
    `-- src
        `-- HelloJavaWorld.java

9 directories, 15 files

We have added the src/lib directory that contains the junit library and the HelloJavaWorld_Test.java that contain a simple class with a unit test

And the ant build file has been changed in order to

  • build the junit test cases, see the build-testcases target
  • run the unit tests, see the test target
  • create nice html reports, see the report target

The package can be downloaded here

Coming next, handling of dependencies between java code that lives in different R packages

To leave a comment for the author, please follow the link and comment on their blog: Romain Francois, Professional R Enthusiast.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)