Introduction to R

This course will introduce the R statistical computing environment. R is an open-source (free!) programmable statistics platform with many options for different types of data analysis. I covered the basic knowledge in R and provided fundamentals for learning advanced R techniques.

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Note

The articles written in English have blue links or blue table cells. The articles written in Thai have red links or red table cells.

Spring 2016

Lectures

Materials

Assignments

Getting Started

Data frame; Mathematical and Boolean Operations

Import/Export; Basic Graphs; List; Factor

Matrix, Aggregate, Basic Statistics

Analysis of Variance

Analysis of Variance for Repeated-measures Designs

Multiple Regression

Plotting

Function and If-Statement

for-loop, sapply, lapply, and paralelling processing

Generalized Linear Model

Structural Equation Modeling using lavaan

Exploratory Factor Analysis

semTools

Tests	Questions
Test 1
Test 2
Test 3

Tests

Questions

Test 1

Test 2

Test 3