Gated SPAD Arrays for Single-Photon Time-Resolved Imaging and Spectroscopy

Abstract

Create Roxygen skeletons for all of your functions before compiling it into an R package. Roxygen2 is an awesome tool to easily create a package from your function library. RoxygenReady helps in creating the function annotations needed to compile a proper package by Roxygen2. More precisely, RoxygenReady creates Roxygen skeletons, a certain format for inline function annotation (see below). By so, it spares you a lot of time documenting your functions easily and precisely. The annotation skeleton it creates, can be automatically compiled into a package with a few lines of code. Packages are the standard way of distribution R code, as they integrate with other services, code sharing becomes much easier. See the installation section for an example. You can pass a whole file to RoxygenReady, and it will create Roxygen skeletons for all functions defined in the file!
Installation and Usage Install directly from GitHub via devtools with one R command: devtools::install_github(repo = "vertesy/RoxygenReady/RoxygenReady") ...then simply load the package: require("RoxygenReady") and create Roxygen skeletons for your functions RoxygenReady("Path/to/your/script.r")
Workflow Explained: a streamlined package creation 1. You start out with your .R file containing your favorite functions. print11more <- function(n=1, m=1) { # a function with real added value print (n+(11*m)) } - RoxygenReady expects a short description in the first line, after the `{` character, which will be parsed into the description field of the function annotation. 2. Construct Roxygen skeletons RoxygenReady from all functions in your script. #' print11more #' #' # a function with real added value #' @param n #' @param m #' @examples print11more(n=1, m=1) #' @export print11more <- function(n=1, m=1) { print (n+(11*m)) } 3. Compile your package by roxygen. - See section: **How to create an R package?** 4. Installing your package and share via GitHub! install.packages(YourPackage) require(YourPackage) Browse for help on your functions help(print11more): You can share your package on GitHub, and everyone can super easily install it, like this package: read on!
Package content A couple of functions to generate inline description from your functions, using their names and arguments as default input. These can be later parsed by Roxygen to an R package's help section. Check out the list of functions Browse the code of the functions
How to create an R package? check: Workflow_to_Create_an_R_Package.R for details Write or collect your favorite functions into an R script. Prepare in-line documentation with RoxygenReady Create a new package by roxygen2's create() function, copy your functions script. Explain parameters in the in-line annotation; manually :-( Compile a package & documentation by roxygen2 Install your package locally Test your package Share it with others via GitHub Examples Go through the example scripts to understand how the package works. You can also check Workflow_to_Create_an_R_Package.R for more details And maybe check out a great introduction about writing your first package in R by Hillary Parker
RoxygenReady is a project of @vertesy.