Lecture Notes

Introduction

• Using commands in R to manage data
  • Use the Read.csv command to read data files in CSV format
  • The leave table and Read.csv commands are convenient in different situations
• Installation of R and additional packages such as RCMDR and ABIND

Data Management

• Inspecting zip code and household data
• Creating histograms to observe data frequencies
• Installing and loading libraries in R
  • Use the library() command to load the desired package
  • Using the Ctrl + Enter command to run each line of code

Basic Data Analysis

• Deleting existing variables to avoid errors
• Summarizing statistics with commands such as mean()
• Checking data relationships with plot
• Calculating correlation with the COR command

Simple Linear Regression (SLR)

• Using the lm() command to create a linear model
  • The summary() command to view model details
  • Analyzing T-value and p-value to test the significance of variables

Summary

• Data analysis with R requires the declaration of necessary libraries
• Using p-value in hypothesis testing
• The importance of knowing commands and their usage in R for convenience and efficiency in data analysis