# Aim of this workshop

In this workshop, we will teach you some necessary data wrangling skills to turn a piece of real clinical data into a nicely written report. We will be operating under the tidyverse framework in R, which is very powerful for data manipulations, visualisation and modelling.

# What is the tidyverse?

The tidyverse is a collection of R packages that aims to streamline the following workflow.

While we will not cover every package in the tidyverse, we will cover the most important packages across three sessions.

# Plan of the workshop

## 1. Monday (15:20-16:30)

In this session, we will first familiarise ourselves of the basics of R, e.g. loading in an Excel dataset, recognising variable types. We will be using the R Markdown documentation system, which allows us to execute codes, visualise output and writing a report. We will also start to learn the basics of data manipulations such as filtering of observations and selection of columns.

Some of the packages to be covered: rmarkdown, readr, readxl, voom, janitor and dplyr.

## 2. Tuesday (13:30-15:00)

In this session, we will focus on the basics of data cleaning and data visualisation. This type of tasks is where the tidyverse framework becomes one of the most powerful tools in data science. We will learn how to summarise data, converting between “wide” and “tall” data frames for the purpose of visualisation and also how to integrate different datasets. At the end of this session, we will massage the data into a suitable format that we can start to think about modelling in the next session.

Some of the packages to be covered: dplyr, tidyr and ggplot2.

## 3. Tuesday (15:30-17:00)

In this session, we will focus on the modelling of our cleaned data from the previous session. We will first introduce lists and use for loops to perform some basic modelling tasks to understand the basics of R programming. Then, we will introduce some powerful wrapper functions that can help us to write better and cleaner codes.

Some of the packages to be covered: tibble, broom and purrr.

# Prerequisites

Ideally, you should at least know what R is, since this is not a programming workshop, you can still pick up important practical skills by running the codes we provided.

## Running workshop on the cloud

We will use RStudio Cloud to run this workshop.

4. Run this line of code source("install.R") (this may take a few minutes to run, set it running then get involved in the icebreaker activity!)
2. Unzip the file and open up tidy2019.RProj.
3. Run this line of code source("install.R")