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#R FOR MAC YOSEMITE HOW TO#

Path = ".", force = FALSE) will createthe appropriate files for a package.

package.skeleton(name = "anRpackage", list, environment =.

the "tools" package should be installed.

Examining some of those, e.g., the sem package, helps one understand what goes where. Within library you will see all the packages that you have downloaded, and installed.

The home location for R packages from the Mac finder on my machine is "desktop/Macintosh HD/Library/Frameworks/R.framework/Resources/library/".

Files will be created from various routines (e.g., prompt), that will need to be moved to where you are building your packages.

Although perhaps obvious to everyone else, this was not obvious to me. This means that one should execute this line while using the console (using X-11), not from the R Gui.

In the various tutorials, one will see the.

So, I can just recommend reading that page for other hints.)Īlso, consult the R for Mac OS FAQ page which is the definitive resource for building packages, but does assume more ability than I seem to have to follow it completely.

#R FOR MAC YOSEMITE HOW TO#

(Unfortunately, their page has a link for how to build packages for Macs and it refers back to this page. It is geared to the Mac user who is clueless with respect to Windows and can stumble around (with some limited success) in the Unix part of the Mac.Īn equally frustrated pair of users created this guide for Linux, Unix and Windows users. This guide was developed as way for me to take notes as I tried to convert a number of routines into a more easilly managed "package". This guide, and any of my contributions, owe a great deal to the wonderful contributions of the R team. Start the browser version of help.start(). Rossi's " Making R Packages Under Windows: A Tutorial" (1/06) which in turns borrows very heavily from the standard work "Writing R extensions" (available as a pdf from CRAN but also available as part of the R installation. This is a short guide summarizing my limited knowledge of how to make and install packages in R using a Mac. Making R packages for the Mac: A simplified guide