Merge pull request #34 from eitsupi/ci

ci: use p3m and pak to R package binary installation

.github/workflows/quarto-render-publish.yml

@@ -4,17 +4,18 @@ on:
   push:
     branches:
       - main
+  pull_request:
+    branches:
+      - main
+  workflow_dispatch:
 
 jobs:
   build-deploy:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
         uses: actions/checkout@v3
-
-      - name: Setup pandoc
-        uses: r-lib/actions/setup-pandoc@v2
-
+
       - name: Set up Quarto
         uses: quarto-dev/quarto-actions/setup@v2
         with:
@@ -25,18 +26,21 @@ jobs:
 
       - name: Install R
         uses: r-lib/actions/setup-r@v2
+        with:
+          use-public-rspm: true
+          Ncpus: 2
+          extra-repositories: https://rpolars.r-universe.dev
 
       - name: Install packages
-        run: | 
-          Rscript -e 'install.packages(c("rmarkdown","dplyr","tidyr","arrow","data.table","fakir","tictoc","duckdb","DBI","microbenchmark","readr","fs","ggplot2","pryr","dbplyr","forcats"))'
-          Rscript -e 'install.packages("polars", repos = "https://rpolars.r-universe.dev")'
+        uses: r-lib/actions/setup-r-dependencies@v2
 
       - name: Render Quarto Project
         uses: quarto-dev/quarto-actions/render@v2
         with:
           path: book # By default, the current working dir is used i.e `quarto render .`
 
       - name: Publish to GitHub Pages (and render)
+        if: github.event_name != 'pull_request'
         uses: quarto-dev/quarto-actions/publish@v2
         with:
           path: book

DESCRIPTION

@@ -0,0 +1,35 @@
+Package: cookbookrpolars
+Title: Cookbook to provide solutions to common tasks and problemes in using Polars with R
+Version: 0.0.1
+Authors@R:
+    c(person(given = "Damien",
+             family = "Dotta",
+             role = c("aut", "cre"),
+             email = "[email protected]"))
+Description: The purpose of this book is to introduce some of the features 
+    of Polars with R. It contains a side-by-side comparison between Polars, 
+    R base and the two most popular packages for data manipulation dplyr 
+    and data.table.
+License: file LICENSE
+Encoding: UTF-8
+Roxygen: list(markdown = TRUE)
+RoxygenNote: 7.3.1
+Imports:
+    polars,
+    rmarkdown,
+    dplyr,
+    tidyr,
+    arrow,
+    data.table,
+    fakir,
+    tictoc,
+    duckdb,
+    DBI,
+    microbenchmark,
+    readr,
+    fs,
+    ggplot2,
+    pryr,
+    dbplyr,
+    forcats,
+    collapse

book/content/first_steps/_setup_first_steps.qmd

@@ -27,21 +27,15 @@ Until the R polars package is uploaded to CRAN, [the polars package development
 
 The most practical one in my opinion at the moment is to use [R-universe](https://r-universe.dev/search/) and install like this:
 
-``` {r}
-#| label: installation
-#| message: false
-#| warning: false
-#| results: 'hide'
-
+```{.r}
 install.packages("polars", repos = "https://rpolars.r-universe.dev")
-library(polars)
 ```
 
-To know the version of the `polars` package you have just installed and to have information on which features are enabled, you can use the `polars_info()` method.
+To know the version of the `polars` package you have just installed and to have information on which features are enabled, you can use the `polars_info()` function.
 
 ```{r}
 #| label: polars_info-function
+library(polars)
 
 polars_info()
 ```
-