Merge branch 'master' of https://github.com/mkuhn/readxl into mkuhn-m…

…aster

# Conflicts:
#	README.md

README.md

@@ -1,22 +1,20 @@
 # readxl
 
-[![Travis-CI Build Status](https://travis-ci.org/hadley/readxl.svg?branch=master)](https://travis-ci.org/hadley/readxl) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/hadley/readxl?branch=master&svg=true)](https://ci.appveyor.com/project/hadley/readxl)
+[![Travis-CI Build Status](https://travis-ci.org/hadley/readxl.svg?branch=master)](https://travis-ci.org/hadley/readxl) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/hadley/readxl?branch=master&svg=true)](https://ci.appveyor.com/project/hadley/readxl) [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/readxl)](https://cran.r-project.org/package=readxl)
 
 The readxl package makes it easy to get data out of Excel and into R. Compared to many of the existing packages (e.g. gdata, xlsx, xlsReadWrite) readxl has no external dependencies so it's easy to install and use on all operating systems.  It is designed to work with _tabular_ data stored in a single sheet.
 
 Readxl supports both the legacy `.xls` format and the modern xml-based `.xlsx` format. `.xls` support is made possible the with [libxls](http://sourceforge.net/projects/libxls/) C library, which abstracts away many of the complexities of the underlying binary format. To parse `.xlsx`, we use the [RapidXML](http://rapidxml.sourceforge.net) C++ library.
 
 ## Installation
 
-You can install:
+You can install the latest released version from CRAN with:
 
-* the latest released version from CRAN with:
-*
 ```R
 install.packages("readxl")
 ```
 
-* the latest development version from github with:
+or the latest development version from github with:
 
 ```R
 # install.packages("devtools")