add cleanepi dependency for report

learners/setup.md

@@ -13,7 +13,7 @@
 Our tutorials are built around an outbreak analysis pipeline split into three stages: **Early tasks**, **Middle tasks** and **Late tasks**. The outputs of tasks completed in earlier stages commonly feed into the tasks required for later ones.
 
 
 ![An overview of the tutorial topics](https://epiverse-trace.github.io/task_pipeline-minimal.svg)
 
 Each task has its tutorial website and each tutorial website consists of a set of episodes covering different topics.
 
@@ -36,7 +36,7 @@
 
 Our strategy is to gradually incorporate specialised **R packages** into a traditional analysis pipeline. These packages should fill the gaps in these epidemiology-specific tasks in response to outbreaks.
 
 ![In **R**, the fundamental unit of shareable code is the **package**. A package bundles together code, data, documentation, and tests and is easy to share with others ([Wickham and Bryan, 2023](https://r-pkgs.org/introduction.html))](episodes/fig/pkgs-hexlogos-2.png)
 
 :::::::::::::::::::::::::::: prereq
 
@@ -111,6 +111,7 @@
 
 new_packages <- c(
   "cleanepi",
+  "reactable",
   "rio",
   "here",
   "DBI",
@@ -203,6 +204,7 @@
 # for episodes on read, clean, validate and visualize linelist
 
 library(cleanepi)
+library(reactable)
 library(rio)
 library(here)
 library(DBI)