chore: installation docs

README.md

@@ -7,12 +7,12 @@
 coverage](https://codecov.io/gh/discindo/r2lambda/graph/badge.svg)](https://app.codecov.io/gh/discindo/r2lambda)
 <!-- badges: end -->
 
-The goal of `{r2lambda}` is to make it easier to go from an `R` script
+The goal of `r2lambda` is to make it easier to go from an `R` script
 to a deployed `AWS Lambda` function.
 
 ## System requirements
 
-`{r2lambda}` calls two programs outside R. They are the same on Linux,
+`r2lambda` calls two programs outside R. They are the same on Linux,
 macOS and Windows; only how you install them differs.
 
 - [Docker](https://docs.docker.com/get-docker/) with the
@@ -30,17 +30,17 @@ macOS and Windows; only how you install them differs.
 
 ## Installation
 
-You can install the released version of `{r2lambda}` from CRAN with:
+You can install the released version of `r2lambda` from CRAN with:
 
 ``` r
 install.packages("r2lambda")
 ```
 
-You can install the development version of `{r2lambda}` from GitHub with:
+You can install the development version of `r2lambda` from GitHub with:
 
 ``` r
-# install.packages("remotes")
-remotes::install_github("discindo/r2lambda")
+# install.packages("pak")
+pak::pak("discindo/ggindex")
 ```
 
 ## Setup

vignettes/articles/lambda-s3.qmd

@@ -17,7 +17,7 @@ library(tidytuesdayR)
 
 At the end of this tutorial, we would have created an AWS Lambda function that fetches
 the most-recent Tidytuesday dataset and writes it into an S3 Bucket every Wednesday.
-To do this, we'll first work interactively with `{r2lambda}` and `{paws}` to go 
+To do this, we'll first work interactively with `r2lambda` and `{paws}` to go 
 through all the steps the Lambda function would eventually need to do, then wrap
 the code and deploy it to AWS Lambda, and finally schedule it to run weekly. 
 
@@ -33,7 +33,7 @@ session helps.
 
 **To run any of the code below, you need some environmental variables set. See 
 the [Setup](https://github.com/discindo/r2lambda#build-a-docker-image-for-the-lambda-function) 
-section in the `{r2lambda}` package readme for more details**
+section in the `r2lambda` package readme for more details**
 
 ```{r}
 s3_service <- aws_connect("s3")

vignettes/articles/tt-lambda.qmd

@@ -12,7 +12,7 @@ knitr:
 library(r2lambda)
 ```
 
-## Use `{r2lambda}` to download Tidytuesday dataset
+## Use `r2lambda` to download Tidytuesday dataset
 
 In this exercise, we'll create an AWS Lambda function that downloads
 the [tidytuesday](https://github.com/rfordatascience/tidytuesday) 
@@ -94,7 +94,7 @@ that calls `install.packages` to install `{tidytuesdayR}` from CRAN.
 
 - Finally, the `tag` argument sets the name of our Lambda function which we'll use 
 later to test and invoke the function. The `tag` argument also becomes the name of 
-the folder that `{r2lambda}` will create to build the image. This folder will have
+the folder that `r2lambda` will create to build the image. This folder will have
 two files, `Dockerfile` and `runtime.R`. `runtime.R` is our script from `runtime_path`,
 renamed before it is copied in the `docker` image with a `COPY` instruction.