Version Control, File Sharing, and Collaboration Using GitHub and RStudio This is Part 3 of our “Getting Started with R Programming” series. For previous articles in the series, click here: Part 1, Part 2. This week, we are going to talk about using git and GitHub with RStudio to manage your projects. Git is a version control system, originally designed to help software developers work together on big projects. Git works with a set of files, which it calls a “repository,” to manage changes in a controlled manner.
Visualizing Data: Challenges to Presentation of Quality Graphics—and Solutions Naomi Robbins, a consultant and seminar leader who specializes in the graphical display of data, offers training on the effective presentation of data. She also reviews documents and presentations for clients. She is the author of Creating More Effective Graphs. Three common challenges statisticians and others face when preparing data for presentation include poor options and defaults in many software packages used for creating graphs, managers and colleagues who are socialized to expect figures that attract attention, and poor instructions from conference organizers. This article addresses each of these challenges and offers some tips for dealing with them. Rtips. Revival 2012! Paul E. Johnson <pauljohn @ ku.edu> The original Rtips started in 1999. It became difficult to update because of limitations in the software with which it was created.
How to combine multiple CSV files into one using CMD - EmailEmail This is a trick which can save you a lot of time when working with a dataset spread across multiple CSV files. Using a simple CMD command it is possible to combine all the CSV’s into a single entity ready for all your pivot and table wizardry. Statistics with R Warning Here are the notes I took while discovering and using the statistical environment R. However, I do not claim any competence in the domains I tackle: I hope you will find those notes useful, but keep you eyes open -- errors and bad advice are still lurking in those pages... Should you want it, I have prepared a quick-and-dirty PDF version of this document. The old, French version is still available, in HTML or as a single file. You may also want all the code in this document.
knitr: Elegant, flexible and fast dynamic report generation with R Overview The knitr package was designed to be a transparent engine for dynamic report generation with R, solve some long-standing problems in Sweave, and combine features in other add-on packages into one package (knitr ≈ Sweave + cacheSweave + pgfSweave + weaver + animation::saveLatex + R2HTML::RweaveHTML + highlight::HighlightWeaveLatex + 0.2 * brew + 0.1 * SweaveListingUtils + more). This package is developed on GitHub; for installation instructions and FAQ’s, see README. This website serves as the full documentation of knitr, and you can find the main manual, the graphics manual and other demos / examples here.
A wrapper around nested ifelse The ifelse function is the way to do vectorised if then else in R. One of the first cool things I learned to do in R a few years back, I got from Norman Matloff’s The Art of R Programming. When you have more than one if then statements, you just nest multiple ifelse functions before you reach the else. Software - Miquel De Cáceres Ainsa Indicspecies R package Indicator species are species that are used as ecological indicators of community or habitat types, environmental conditions, or environmental changes. In order to determine indicator species, the characteristic to be predicted is represented in the form of a classification of the sites, which is compared to the patterns of distribution of the species found in that set of sites. 'Indicspecies' is an R package that contains a set of functions to assess the strength of relationship between species and a classification of sites. As such, it includes the well-known IndVal method (Dufrêne & Legendre 1997) and extends it by allowing the user to study combinations of site groups (De Cáceres et al. 2010).