It’s a long way from a complete package, but it’s still useful because it activates new tools that make it easier to work with larger app.
This structure gets your toes into the water of package development. Write a function that starts your app (i.e. calls shinyApp() with your UI and server).Ĭreate a DESCRIPTION file in the root directory of your app.
The C++ wrapper can in found in: printFile("mypack/src/RcppExports.If you are creating a large or long-term Shiny app, I highly recommend that you organise your app in the same way as an R package. To make rcpp_hello_world accessible at R level, calls compileAttributes (we will see how to use this function later), which creates a C++ and R wrapper for this function. That is, this is not an internal function, but it should be available to users of the mypack package. We are not interested in what the function does (despite its name, it doesn’t say “hello”!), what matters to us is that the // ] attribute indicates that this function should be exported. This is an example C++ function generated by. NumericVector y = NumericVector::create( 0.0, 1.0 ) Here we are particularly interested in the Rcpp-related components of the package, hence let’s look at the C++ code in src/rcpp_hello_world.cpp: printFile ĬharacterVector x = CharacterVector::create( "foo", "bar" )
You should be already familiar with the structure of an R package, otherwise see here, for instance. Let’s examine the content of the automatically generated mypack package: system("ls -1R mypack/") mypack: The Rcpp package provides an extension of the utils::package.skeleton function, which automatically creates a source R package which uses several features of Rcpp. The material provided here relies mainly on the Rcpp-attributes and Rcpp-package vignettes. In this section we will learn how to build a basic R package containing Rcpp code.
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