Merge pull request #29 from elpaco-escience/add_badges

Add badges to readme and fix codecov

.github/workflows/test-coverage.yaml

@@ -27,6 +27,15 @@ jobs:
           extra-packages: any::covr
           needs: coverage
 
+      - name: Generate coverage report
+        run: |
+          covr::codecov(
+            quiet = FALSE,
+            clean = FALSE,
+            install_path = file.path(Sys.getenv("RUNNER_TEMP"), "package")
+          )
+        shell: Rscript {0}
+
       - name: Upload coverage reports to Codecov
         uses: codecov/codecov-action@v3
         env:

README.md

@@ -1,4 +1,7 @@
+[![R-CMD-check](https://github.com/elpaco-escience/talkr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/elpaco-escience/talkr/actions/workflows/R-CMD-check.yaml)  [![codecov](https://codecov.io/github/elpaco-escience/talkr/graph/badge.svg?token=MTA2S1LLGH)](https://codecov.io/github/elpaco-escience/talkr)
+
 # talkr
+
 {talkr} offers a set of convenience functions for quality control, visualisation and analysis of conversational data. It provides support for at least two common needs of people working with conversational corpora: (1) quality control by offering rapid insights into the nature, timing, and quality of time-aligned annotations in a conversational corpus; and (2) compelling visualisations by offering a range of plotting functions that play well with ggplot and the tidyverse. 
 
 Note: {talkr} plays well with its companion python package `scikit-talk`, which is focused more on processing conversational data and readying it for downstream analysis.