Monte Carlo
Statistical Computing
STAT 586 - Introduction to Statistical Computing
Setup
1
Installation
2
Settings
3
Tour
Basics
4
Console
5
Calculator
6
Packages
7
Getting help for R
Data Science
8
Scripts
9
Analysis
Visualize
10
Base R
11
ggplot2
12
ggplot2 syntax
13
Univariate plots
14
Bivariate plots
15
Customize
16
Export
Tidy
17
Import
18
Explore
19
Wrangle
20
Pivot
21
Join
Model
22
Distributions
23
Normal analyses
24
Normal analyses (old)
25
Binomial analyses
26
Simple Linear Regression
27
Regression
28
Poisson Regression
29
Logistic Regression
Communicate
30
Markdown
31
R Markdown
32
Quarto
33
Interactivity
Programming
34
Objects
35
Functions
36
Logical Operations
37
Control Flow
Monte Carlo
38
Basics
39
Estimators
40
Intervals
41
Processes
Appendix
42
Gradescope
Monte Carlo
Author
Jarad Niemi
This module will introduce Monte Carlo methods, i.e. simulation-based analyses.
37
Control Flow
38
Basics