Biostatistics Portfolio I
Preface
1
Installation
1.1
Installation Guide
Note about TinyTeX
Note about installation problems
1.2
The RStudio interface
2
Basic Programming Tutorials
2.1
swirl
2.2
learnr
(*)
3
Mendelian Genetics
3.1
Corn Example
Exercise 1
Exercise 2
3.2
Chi-Squared Test
Exercise 3
Exercise 4
Exercise 5 (optional)
4
Bradford Assay
4.1
What Is a Bradford Assay?
4.2
How to Contruct a BSA-Curve in R
4.2.1
Enter your data
4.2.2
Fit a Simple Linear Model
4.2.3
Plot your data & draw a line
4.3
Using a Bradford Assay for Estimation
4.4
How Precise Is the Estimate?
4.4.1
R-squared
4.4.2
Prediction interval
4.5
Improving Your Figure (*)
4.5.1
Improving the main plot
4.5.2
Highlighting the line
4.5.3
Adding a grid
4.6
Alternative Method (*)
5
Your Own Experiment I
5.1
Introduction
5.2
Study Design
5.3
Why Use a Statistical Test?
5.4
How Do Statistical Tests Work?
5.5
The Chi-Squared Test
5.5.1
How Does the Chi-Squared Test Work?
5.5.2
Chi-Squared Test in R
5.6
Exercises
5.6.1
Performing a Chi-Squared Test
5.6.2
Comparing Two Students
5.6.3
Comparing Two Other Students
6
Sepia
6.1
Getting Started
6.2
Creating a Subset
6.3
Data Cleaning
6.4
Plotting the Data
6.5
T-test
6.5.1
Example
6.5.2
Exercise
7
Your Own Experiment II
7.1
Study Design
7.2
Preparing Your Presentation
Adding Figures in R Markdown
Image from a File (simple)
Exercise 1
Image from a File (advanced)
Exercise 2
Plots Drawn in R
Simple Example (Linear Relationship)
Multiple Plots in One Area
Exercise 3
Exercise 4 (*)
Exercise 5 (*)
Adding Tables in R Markdown
The User-Friendly Way:
kable
Exercise 1
Exercise 2 (*)
Advanced:
xtable
(*)
Exercise 3 (*)
References
Biostatistics Portfolio I
References