README paragraph justification

README.md

@@ -1,5 +1,5 @@
-This repo contains the source code used to generate the BigML api bindings 
-for R.  
+This repo contains the source code used to generate the BigML api
+bindings for R.
 
 Please, report problems and bugs to our
 [BigML.io issue tracker](https://github.com/bigmlcom/io/issues)
@@ -11,20 +11,28 @@ in our [Campfire chatroom](https://bigmlinc.campfirenow.com/f20a0)
 # Build #
 
 There is a small bundle.R script that will build a CRAN-ready bundle.
-[Roxygen2](http://cran.r-project.org/web/packages/roxygen2/index.html) is 
-necessary for building the package documentation.  Simply run the script in 
-R while in the project directory.
+[Roxygen2](http://cran.r-project.org/web/packages/roxygen2/index.html)
+is necessary for building the package documentation.  Simply run the
+script in R while in the project directory.
 
 # Tests #
 
 There is a small unit test script called run_tests.R.
 
-These tests compare the class structure of bigml responses to the expected class structure (in JSON form). It will also check for specific known responses (e.g., A particular response for a prediction request on a model trained from the iris dataset). Simply evaluate the code in run_tests.R in the project root in order to run the tests.
+These tests compare the class structure of bigml responses to the
+expected class structure (in JSON form). It will also check for
+specific known responses (e.g., A particular response for a prediction
+request on a model trained from the iris dataset). Simply evaluate the
+code in run_tests.R in the project root in order to run the tests.
 
-It requires the [testthat](http://cran.r-project.org/web/packages/testthat/index.html) library by Hadley Wickham.  Simply run the script in R while in the project directory
+It requires the
+[testthat](http://cran.r-project.org/web/packages/testthat/index.html)
+library by Hadley Wickham.  Simply run the script in R while in the
+project directory
 
-It is necessary to run setCredentials() beforehand, or to set BIGML_USERNAME 
-and BIGML_API_KEY appropriately in your .Renviron file.
-
-There are some small utilities (misc.R) that make it easier to manipulate the complex datastructures returned by R and the bigml API.
+It is necessary to run setCredentials() beforehand, or to set
+`BIGML_USERNAME` and `BIGML_API_KEY` appropriately in your .Renviron
+file.
 
+There are some small utilities (misc.R) that make it easier to
+manipulate the complex datastructures returned by R and the bigml API.