codecov?

Author: eliocamp

.Rbuildignore

@@ -11,3 +11,4 @@
 ^_pkgdown\.yml$
 ^inst/data_files$
 ^guía_de_estilo\.md$
+^codecov\.yml$

.travis.yml

@@ -8,4 +8,7 @@ addons:
   apt:
     packages:
       - libnetcdf-dev
-      - netcdf-bin
+      - netcdf-bin
+
+after_success:
+  - Rscript -e 'covr::codecov()'

DESCRIPTION

@@ -32,10 +32,12 @@ Imports:
     Formula,
     formula.tools
 RoxygenNote: 6.0.1.9000
-Suggests: knitr,
+Suggests: 
+    knitr,
     rmarkdown,
     testthat,
     reshape2,
-    irlba
+    irlba,
+    covr
 VignetteBuilder: knitr
 Roxygen: list(markdown = TRUE)

README.Rmd

@@ -14,7 +14,7 @@ knitr::opts_chunk$set(
 
 # metR
 
-[![Build Status](https://travis-ci.org/eliocamp/metR.svg?branch=master)](https://travis-ci.org/eliocamp/metR)
+[![Build Status](https://travis-ci.org/eliocamp/metR.svg?branch=master)](https://travis-ci.org/eliocamp/metR) [![Coverage status](https://codecov.io/gh/eliocamp/metR//branch/master/graph/badge.svg)](https://codecov.io/github/eliocamp/metR/?branch=master)
 
 meteR packages several functions and utilities that make R better for hadling meteorological data in the tidy data paradigm. It's not intended to be the be-all and end-all and is (at least for now) mostly a packaging of assorted wrapers and tricks that I wrote for my day to day work as a researcher in atmospheric sciences. Since it's grown organically and for my own needs, do not expect a heavy emphasis on consistency across functions and do expect functions written with specific use cases in mind.  
 

README.md

@@ -3,7 +3,7 @@
 metR
 ====
 
-[![Build Status](https://travis-ci.org/eliocamp/metR.svg?branch=master)](https://travis-ci.org/eliocamp/metR)
+[![Build Status](https://travis-ci.org/eliocamp/metR.svg?branch=master)](https://travis-ci.org/eliocamp/metR) [![Coverage status](https://codecov.io/gh/eliocamp/metR//branch/master/graph/badge.svg)](https://codecov.io/github/eliocamp/metR/?branch=master)
 
 meteR packages several functions and utilities that make R better for hadling meteorological data in the tidy data paradigm. It's not intended to be the be-all and end-all and is (at least for now) mostly a packaging of assorted wrapers and tricks that I wrote for my day to day work as a researcher in atmospheric sciences. Since it's grown organically and for my own needs, do not expect a heavy emphasis on consistency across functions and do expect functions written with specific use cases in mind.
 

codecov.yml

@@ -0,0 +1,12 @@
+comment: false
+
+coverage:
+  status:
+    project:
+      default:
+        target: auto
+        threshold: 1%
+    patch:
+      default:
+        target: auto
+        threshold: 1%