Lecture notes

R Lecture 01: Introduction to R

• R code: R Lecture 01

R Lecture 02: Data Objects (Vectors)

• R code: R Lecture 02

R Lecture 03: Other Data Objects

• R code: R Lecture 03

R Lecture 04: Functions and Programming

• R code: R Lecture 04

R Lecture 05: Data Import and Export

• R code: R Lecture 05, ReactionTime.txt, ReactionTime.csv

R Lecture 06: Graphics

• R code: R Lecture 06

R Lecture 07: Linear Regression

• R code: R Lecture 07

R Lecture 08: Two-Sample Test

• R code: R Lecture 08

R Lecture 09: Density Estimation

• R code: R Lecture 09, Shiny_app.R

R Lecture 10: Classification and Clustering

• R code: R Lecture 10

R Lecture 11-1: Introduction of Nonparametric Regression and the Bootstrap

• R code: R Lecture 11-1, R markdown File

R Lecture 11-2: Data Analysis Example

• R code: R Lecture 11-2, R markdown File, temperature.txt

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SAS Lecture 1: SAS Basics

• SAS code: SAS Lecture 1

SAS Lecture 2: SAS Functions

• SAS code: SAS Lecture 2

SAS Lecture 3: SAS Data I/O

• SAS code: SAS Lecture 3, ice.txt, patient.txt, patient.csv, patient_names.csv, student.txt

SAS Lecture 4: SAS Distributions

• SAS code: SAS Lecture 4

SAS Lecture 5: SAS Linear Regression

• SAS code: SAS Lecture 5, SpiritStLouis.csv