The aim of devtools is to make your life as a package developer easier by providing R functions that simplify many common tasks. R packages are actually really simple, and with the right tools it should be easier to use the package structure than not. Package development in R can feel intimidating, but devtools does every thing it can to make it as welcoming as possible. 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. Just forward me the email and your address, and I'll get a card in the mail.

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devtools is opinionated about how to do package development, and requires that you use roxygen2 for documentation and testthat for testing. 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. I'm always happy to hear about what doesn't work for you, and any places where devtools gets in your way. Either send an email to the rdevtools mailing list or file an issue.

R-Studio Data Recovery is a fantastic option for recovering lost information. It’s easy to use and works just as intended. Should you download it? If you feel you might have something important hiding in your hard drive, download this program and take a look. Add R to your path: Before you start you will need to know the full directory path of the R executable on your system. It should be C:Program FilesRR-3.1.1bin. If not, find the path yourself using the windows file browser to browse your Computer.

Updating to the latest version of devtools

You can track (and contribute to) development of devtools at https://github.com/hadley/devtools. To install it:

1. Install the release version of devtools from CRAN with install.packages('devtools').

2. Make sure you have a working development environment.
   • Windows: Install Rtools.
   • Mac: Install Xcode from the Mac App Store.
   • Linux: Install a compiler and various development libraries (details vary across differnet flavors of Linux).

3. Follow the instructions below depending on platform.

   • Mac and Linux:

   • Windows:

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Package development tools

All devtools functions accept a path as an argument, e.g. load_all('path/to/path/mypkg'). If you don't specify a path, devtools will look in the current working directory - this is recommend practice.

Frequent development tasks:

• load_all() simulates installing and reloading your package, loading R code in R/, compiled shared objects in src/ and data files in data/. During development you usually want to access all functions so load_all() ignores the package NAMESPACE. load_all() will automatically create a DESCRIPTION if needed.

• document() updates documentation, file collation and NAMESPACE.

• test() reloads your code, then runs all testthat tests.

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Building and installing:

• install() reinstalls the package, detaches the currently loaded version then reloads the new version with library(). Reloading a package is not guaranteed to work: see the documentation to unload() for caveats.

• build() builds a package file from package sources. You can can use it to build a binary version of your package.

• install_github() installs an R package from github, install_gitorious() from gitorious, install_bitbucket() from bitbucket, install_url() from an arbitrary url and install_file() from a local file on disk. install_version() installs a specified version from cran.

Check and release:

• check() updates the documentation, then builds and checks the package. build_win() builds a package using win-builder, allowing you to easily check your package on windows.

• run_examples() will run all examples to make sure they work. This is useful because example checking is the last step of R CMD check.

• check_doc() runs most of the documentation checking components of R CMD check

• release() makes sure everything is ok with your package (including asking you a number of questions), then builds and uploads to CRAN. It also drafts an email to let the CRAN maintainers know that you've uploaded a new package.

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Other commands:

• bash() opens a bash shell in your package directory so you can use git or other command line tools.

• wd() changes the working directory to a path relative to the package root.

Development mode

Calling dev_mode() will switch your version of R into 'development mode'. In this mode, R will install packages to ~/R-dev. This is useful to avoid clobbering the existing versions of CRAN packages that you need for other tasks. Calling dev_mode() again will turn development mode off, and return you to your default library setup.

Other tips

I recommend adding the following code to your .Rprofile:

See the complete list in ?devtools

This will set up R to:

• always install packages from the RStudio CRAN mirror
• ignore newlines when browse()ing
• give minimal output from traceback()
• automatically load devtools in interactive sessions

There are also a number of options you might want to set (in .Rprofile) to customise the default behaviour when creating packages and drafting emails:

• devtools.name: your name, used to sign emails
• devtools.desc.author: your R author string, in the form of 'Hadley Wickham <h.wickham@gmail.com> [aut, cre]'. Used when creating default DESCRIPTION files.
• devtools.desc.license: a default license used when creating new packages

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Bring files back from the dead

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R-Studio Data Recovery is an application you can use to dig into your computer’s hard drive and recover files that have been deleted. It scans the entire drive and tags files for recovery.

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File recovery made easy

There’s no need to worry about lost files with this program. R-Studio has designed software that makes it easy to save lost files.

This data recovery tool is easy to use. It’s highly recommended that you use the application as soon as possible when you’ve lost any information you consider important. The program works just fine; but if you wait too long, you might lose the files permanently.

You might believe that deleted information is lost forever on a computer, but this isn’t actually the case. When you send something to the recycle bin, those files are assigned to a different part of the hard drive. This means that when you install something new, your computer is given the green light to write over that data. This is why R-Studio Data Recovery needs to scan the entire drive; it needs to separate the different portions of the hard disk.

This application comes with compatibility options. It supports a wide range of hard drives and file types. This is a stark contrast to rival software like Recuva. It can even save encrypted and compressed files. If you lost anything that was zipped up, there’s a high chance you’ll get it back.

There is one thing to consider when using this program. When recovering files, make sure to rewrite them to another drive. This helps to avoid writing over the same data you’re trying to save.

Is there a better alternative?

Yes, there are. It’s great, but it has some stiff competition. AnyRecover is an affordable alternative with all the same features. It even maintains the broad compatibility with files and drives.

Where can you run this program?

This program runs on Windows XP and later.

Our take

R-Studio Data Recovery is a fantastic option for recovering lost information. It’s easy to use and works just as intended.

Should you download it?

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Yes. If you feel you might have something important hiding in your hard drive, download this program and take a look.

Highs

• Manage iPhone memory
• Beautifully designed layout
• Easy-to-use

Lows

• Some features require jailbroken OS
• Requires license purchases
• Privacy risks

R-Studio Data Recoveryfor Windows

7.8