Hello dear R-help mailing list, The other day I published a blog post (with some R code) to help R-users who want to implement a simpler upgrading strategy for R (under windows - but probably the same will be true of mac OS, I am not sure about Linux).
This e-mail has 3 goals: (a) To share, (b) to get feedback, and (c) to propose to implement this strategy to R's core. * * *a) Share* The idea of this upgrading strategy is to save steps in upgrading. When one wishes to upgrade R, instead of doing the following three steps: 1) download new R and install 2) copy the "library" content from the old R to the new R 3) upgrade all of the packages (in the library folder) to the new version of R. You could instead just have steps 1 and 3, and skip step 2. How? By using a "global" library which will reside outside (and besides) of the normal R installation folder. Here is the link to the post where I explain how to do this with R running under windows (and also supplied some R code to help with this move): http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/ (Credit: this strategy was proposed by Dirk Eddelbuettel<http://dirk.eddelbuettel.com/blog/>, to whom I give my thanks) *b) Feedback* I would love to know if someone here can suggest when this strategy might not be the best one. I also welcome any suggestions for improving the code I wrote for helping users make the transition to this upgrading system. *c) R core implementation ?!* I hope I am not being rude (or jumping into any open doors) in asking this but... What do you think about implementing this strategy into the R basic installation? With honest respect and care, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
