R Bootcamp - Class 7
Tidyverse odds & ends
Class 7 outline
- String manipulation with
stringr - Factor operations with
forcats - Join functions with
dplyr - Advanced plotting with
ggplot2
Setup
String operations
Combining strings with str_c()
str_c() is similar to paste and paste0 but the behavior is more consistent.
Detecting patterns with str_detect()
Splitting strings with str_split()
Factor operations
Counting factor levels with fct_count()
Reordering factors with fct_reorder()
Lumping infrequent levels with fct_lump()
Do your numbers look different? sample() is not reproducible by default.
Aside on sample() and reproducibility
Join operations
Setup
Open up the tidyexplain page.
Understanding joins
Joins combine data from two tables based on matching keys.
left_join() - keep all rows from left table
Most common join - keeps all observations from the “primary” table.
inner_join() - keep only matching rows
Only keeps rows that exist in both tables.
full_join() - keep all rows from both tables
Keeps everything, filling missing values with NA.
Advanced plotting
Setup
scale functions in ggplot2
-
scale_color_brewer()andscale_fill_brewer()controlcolorandfillaesthetics. - See available ggplot2 brewer palettes
Combining multiple plots into a figure?
Use the {patchwork} package.
Saving plots
Saves last plot as 5’ x 5’ file named plot_final.png in working directory.
Matches file type to file extension (*.png, *.jpeg, *.pdf).
Displaying data in tables
We’ll use a couple of approaches to display data in tables instead of graphs, which can be useful for reports or presentations.