Course Outline

• Purpose
  

• Introduction
  

• Getting started
  

• Creating/Setting working directory
  

• Arithmetic
  

• Importing/Exporting data
  

• Data Management
  

• Tables
  

• Graphics
  

Purpose of this Training

• This hands-on training introduces the free statistical program R as a basic tool for conducting data analysis and visualization.
  
  

• The course is not intended to cover detailed statistical tests, functions or advanced methods.

Requirement

• Basic understanding of data and some data analysis experience.
  

• Experience using other statistical programs is a plus but not required.
  

• We will use a cloud-based R program, so you do not need the program installed on your computer prior to the training.

• However, you need to have R and Rstudio installed in your laptop if you plan to continue to use R after the training (instruction included in the course folder).
  

Expectation

• Active participation is expected
  

• At the end of the training, participants should:
  

  • Use their own data and will be able to interact with R programming environment

  • Import various types of data, conduct some data cleaning activity

  • Run some basic analysis and visualize results.

Getting Started

Installation instruction

• RStudio Cloud will be used but it is highly encouraged to have a local version of R and Rstudio installed in your laptop.
  
  

• Exercises at the end of each section should be completed using your cloud based R program.
  
  

• Request both R and RStudio via CDC SRT.
  
  

Datasets

The following datasets are used throughout this training:

- Subset of the 2020 MPHIA data 

- Subset of data downloaded from DATIM

- Subset of [HIV/AIDS Surveillance Data Base downloaded from (https://www.census.gov/programs-surveys/international-programs/about/hiv.html)

Opening R:

• Double click on the RStudio icon from the Desktop (for local users). Note that we are using Rstudio cloud so you may now log into your account

R Panels

It has four parts/tabs with the following default appearance:

- Text editor/command prompt (top left window): commands are typed here and sent to the console

- Console (bottom left window): where you can type commands and see outputs

- Workspace/RStudio Environment Pane (right top window): displays active objects (data, functions etc.)

- Files tab (right bottom window): shows all files and folders including plots, packages etc.
   

R Panels

Note: The position can be rearranged

- Go to: Tools > Global Options > Pane Layout and then You can drag and move

- You can also change the color and font of display text (Tools > Global Options >

  Appearance > select whichever style you like > Apply > OK)
  

Creating a logbook

- Creating a logbook helps to document and save all your work.

How to create a logbook:

- File > New File > R Script >#  From the new window > File > Save As.. 

How to submit commands:

- put the cursor on the code/ or highlight the code and click 'Run'  

- put the cursor on the code/ or highlight the code and Press Ctrl + Enter

NOTE: THERE ARE SEVERAL WAYS OF DOING THE SAME TASK IN R!! Choose the easiest and most efficient

R Packages/ libraries

• R packages: are a set of user written functions to perform several specific and general tasks.

• A library is a directory into which the R package is stored. In order to access the package, the library has to be loaded first

How to install R Packages?

- CRAN: majority of the packages are in CRAN<br>

 install.packages("PackageName")

- Github<br>
install_github("PackageName")

Lets go to RStudio cloud…

Introduction to R - Posit Cloud