Init README for R frameworks and libraries

Author: codez0mb1e

rstudio-server/ds-frameworks/README.md

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+# R Frameworks and Libraries
+
+- [Packages Management](#packages-management)
+  - [Package Management Frameworks](#package-management-frameworks)
+  - [Loading Packages](#loading-packages)
+  - [Reproducible Environments](#reproducible-environments)
+- [Assertions and Testing](#assertions-and-testing)
+
+
+## Packages Management
+
+### Package Management Frameworks
+
+- **renv**: A dependency management toolkit for R that helps you create reproducible environments. It allows you to isolate project-specific package libraries.
+- **librarian**: A package that simplifies the process of loading and installing R packages, making it easier to manage dependencies.
+- **checkpoint**: A package that allows you to install packages from a specific date, ensuring that your project uses the same package versions over time.
+
+### Loading Packages
+
+You can use the `librarian` package to load and install packages easily. Here's an example:
+
+```R
+install.packages("librarian")
+
+# Add librarian to default list of packages that load on session start
+librarian::lib_startup(librarian, lib = .libPaths()[1], global = F)
+
+# Load and install packages as needed
+librarian::shelf(
+  dplyr,
+  ggplot2,
+  tidyr,
+  readr
+)
+``` 
+
+### Reproducible Environments
+
+Use `renv` to manage R package dependencies for your projects. This ensures that your code runs consistently across different systems.
+
+```R
+shelf(renv) # or install.packages("renv")
+
+renv::init() # Initialize a new renv environment
+renv::snapshot() # Save the current state of your project's R packages
+renv::restore() # Restore the project's R packages to the saved state
+renv::status() # Check the status of your renv environment
+```
+
+## Assertions and Testing
+
+- **checkmate**: A package that provides functions for argument checking and validation, making it easier to ensure that your functions receive the correct types of inputs.
+- **ensurer**: A package that allows you to create validation rules for your data, helping you ensure that your data meets specific criteria.
+- **validate**: A package for data validation that allows you to define and apply validation rules to your datasets.
+
+```R
+librarian::shelf(
+  checkmate,
+  ensurer,
+  validate
+)
+
+# Example usage of checkmate
+checkmate::assert_numeric(x, lower = 0, upper = 100)
+checkmate::assert_character(name, pattern = "^[a-zA-Z]+$")
+checkmate::assert_data_frame(df, min.rows = 1)
+
+# Example usage of ensurer
+safe_sqrt <- function(x) {
+  sqrt(x)
+} %>%
+  ensures_that(x >= 0, err_desc = "Input must be non-negative") %>%
+  ensures_that(. >= 0, err_desc = "Output must be non-negative")
+
+# Example usage of validate
+rules <- validator(
+  age >= 0,
+  income >= 0
+)
+validation_results <- confront(data, rules)
+summary(validation_results)
+```