Statistics in R
1
Introduction to R
1.1
R & RStudio
1.1.1
R
1.1.2
RStudio
1.1.3
Where to get them?
1.1.4
First steps
1.2
Data Types
1.2.1
Variables
1.2.2
Numeric Data
1.2.3
Logical Data
1.2.4
Character Data
1.3
Help
1.3.1
Help Files
1.3.2
Search
1.3.3
Ask
1.4
Vectorisation
1.4.1
Vectors
1.4.2
Subsetting
1.5
Statistics
1.5.1
Data
1.5.2
Describing our data
1.5.3
Plotting
1.6
Probabilities
1.6.1
Data Distributions
2
Enter The Tidyverse: Verbs
2.1
Introduction
2.2
Packages
2.2.1
Installing packages
2.2.2
CRAN
2.3
The Pipe
2.4
Tibbles
2.5
One Table Verbs
2.5.1
filter()
2.5.2
slice()
2.5.3
arrange()
2.5.4
select()
2.5.5
mutate()
2.5.6
summarise()
2.5.7
group_by()
3
Enter The Tidyverse: What’s Next?
3.1
Refresher
3.2
Pivoting
3.2.1
pivot_longer()
3.2.2
pivot_wider()
3.3
Two Table Verbs
3.3.1
bind_rows()
3.3.2
bind_cols()
3.3.3
joins
3.4
Decisions
3.4.1
if_else()
3.4.2
recode()
3.4.3
case_when()
4
Show Your Work
5
Final Coding
Statistics In R
4
Show Your Work
Coming Soon…