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Install() reinstalls the package, detaches the currently loaded version then reloads the new version with library(). Test() reloads your code, then runs all testthat tests. load_all() will automatically create a DESCRIPTION if needed.ĭocument() updates documentation, file collation and NAMESPACE.
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During development you usually want to access all functions so load_all() ignores the package NAMESPACE.
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Load_all() simulates installing and reloading your package, loading R code in R/, compiled shared objects in src/ and data files in data/. If you don't specify a path, devtools will look in the current working directory - this is recommend practice. # Remove the package after installation unlink( "devtools.zip")Īll devtools functions accept a path as an argument, e.g. Install.packages( "devtools.zip", repos = NULL) Mac and Linux: devtools:: install_github( "hadley/devtools")
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Not everyone agrees with these opinions, and they are by no means perfect, but they have evolved during the process of writing over 30 R packages.
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Just forward me the email and your address, and I'll get a card in the mail.ĭevtools is opinionated about how to do package development, and requires that you use roxygen2 for documentation and testthat for testing. devtools comes with a small guarantee: if because of a bug in devtools a member of R-core gets angry with you, I will send you a handwritten apology note. Package development in R can feel intimidating, but devtools does every thing it can to make it as welcoming as possible. R packages are actually really simple, and with the right tools it should be easier to use the package structure than not. The aim of devtools is to make your life as a package developer easier by providing R functions that simplify many common tasks.
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