Applied Biostats
Preface
A book of (com)passion
Course philosophy / goals
R
,
RStudio
, and the
tidyverse
What is this ‘book’ and how will we use it?
How will this term work / look?
1
Introduction to Stats
1.1
Goals of (Bio)stats
1.2
Sampling from Populations
Sampling Error
Sampling Bias
(Non) independence
1.3
Models and Hypothesis Testing
Statistical Models
Hypothesis Testing
1.4
Types of Variables and Data
Explanatory and Response variables
Types of Data
1.5
Types of Studies
1.6
Quiz
1.7
Homework
1.8
Definitions
I Introduction to
R
2
Day one of R and RStudio
2.1
What is
R
and why / how do we use it?
2.2
Why use R?
2.2.1
What is RStudio?
2.2.2
What is the tidyverse?
2.3
3.2 Installing R and tidyverse (or not)
2.3.1
Getting on RStudio Cloud
2.3.2
Installing RStudio
2.3.3
Installing tidyverse
2.4
The RStudio IDE
2.4.1
A tour of the RStudio IDE.
2.4.2
A tour of the Rstudio environmenmt
2.5
Intro to R
2.5.1
Using R as a calculator and for logical questions
2.5.2
Vectors in R
2.5.3
Using functions in R
2.5.4
Assigning variables in R
2.5.5
Writing R scripts and beyond
2.6
Loading tidyverse and other packages
2.7
Preparing for success
Today!
Everyday for class homework etc!
2.8
Observations and suggeastions for learning R / computer stuff
2.8.1
Observations
2.8.2
Suggestions
2.9
RStudio primer
2.10
Intro to R and RStudio: Quiz
3
Methods
4
Applications
4.1
Example one
4.2
Example two
5
Final Words
References
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Applied Biostats – BIOL3272 UMN – Fall 2022
Chapter 3
Methods
We describe our methods in this chapter.