alicewu1/intro-to-R

HHA507 / Data Science / Assignment 8 / Intro to R

intro-to-R

HHA 507 / Data Science / Assignment 8 / Intro to R

This repo aims to complete:

• introductory statistics exercises to R and R Studio using the resources below
• practice data wrangling and data visualization using R

Tasks and Resources:

Part 1: Complete part [1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3] locally on my machine. Keep track of code when reviewing the written material using Part1.r file in repo

• https://hbctraining.github.io/Intro-to-R-flipped/schedules/links-to-lessons.html

Part 2: Complete Chapter 1, 2, 3 from this book. Use Google Colab to take coding notes Part2.ipynb:

• https://bookdown.org/vaabe/bookdown-demo/the-r-environment.html

Additional Resource: https://colab.research.google.com/drive/1iz6ILnVGt8Qc6UR1l7oTPou4l6WSrw9S

Datasets Used:

• UK Gender Pay Gap 2022-2023: https://gender-pay-gap.service.gov.uk/viewing/download
• Iris Dataset: https://datahub.io/machine-learning/iris

Learning Objectives:

1.1

• Describe what R and RStudio are.
• Interact with R using RStudio.
• Familiarize various components of RStudio.
• Employ variables in R.

1.2

• Describe frequently-used data types in R.
• Construct data structures to store data.

1.3

• Describe and utilize functions in R.
• Modify default behavior of a function using arguments.
• Identify R-specific sources of obtaining more information about functions.
• Demonstrate how to create user-defined functions in R

1.4

• Demonstrate how to read existing data into R
• Utilize base R functions to inspect data structures

2.1

• Demonstrate how to subset vectors and factors
• Explain the use of logical operators when subsetting vectors and factors
• Demonstrate how to relevel factors in a desired order

2.2

• Explain different ways to install external R packages
• Demonstrate how to load a library and how to find functions specific to a package

2.3

• Demonstrate how to subset, merge, and create new datasets from existing data structures in R.