Class meetings

Quarto

module 10
week 16
presentations
Quarto
websites

Advance to the next level with Quarto

Advanced R Markdown

module 10
week 16
bibliography
citations
code chunks
cross-references
figures

Master advanced uses of R Markdown

Publications

module 10
week 15
apa
dissertations
journal articles
papaja
R Markdown
templates

Prepare journal articles in R Markdown

Tables

module 10
week 15
apa
kable
knitr
papaja
R Markdown
table

Create tables in R Markdown

Overlapping data

module 9
week 14
beeswarm
jitter
redundant coding

Avoid overplotting and employ redundant coding

Annotating plots

module 9
week 14
labels
lines
segments
shapes
text
titles

Edit labels and titles and add text, lines, and shapes

Adjusting axes

module 9
week 14
axes
compound plots
faceting
limits
scales
subfigures

Limit, label, and scale axes

Plotting x-y data: categories

module 8
week 13
error bars
interaction plots
raincloud plots
slopegraphs

Plot continuous variables for categorical variables

Plotting x-y data: time series

module 8
week 13
beeswarm
jitter
model fitting
time series

Plot continuous variables over sequential variables

Plotting x-y data: associations

module 8
week 13
bubble charts
correlation plots
heatmaps
scatterplots

Plot paired x-y data to illustrate associations

Plotting distributions: boxplots

module 8
week 12
boxplot
ggplot
outliers
violin plot

Plot boxplots and violin plots

Plotting distributions: histograms

module 8
week 12
density plot
frequency polygon
ggplot
histogram

Plot histograms and density plots

Design and themes

module 7
week 11
design
fonts
grid lines
legends
themes

Adjust overall plot design with themes

Grammar of graphics II

module 7
week 11
aesthetics
facets
ggplot
grammar of graphics
statistical transformations

Use the grammar of graphics to organize plot creation

Functions

module 6
week 10
conditional statements
functions
messages

Create your own functions to work with data

Factors

module 5
week 9
collapse
factors
labels
levels
recode

Work with categorical variables (factors)

Matching patterns

module 5
week 7
characters
patterns
regular expressions
strings

Match patterns in character strings

Strings

module 5
week 7
characters
paste
strings

Work with character strings

Numbers

module 5
week 7
count
numeric
rounding

Parse and transform numbers

Merging rows

module 4
week 6
bind
filtering joins
join
merge
rows
set operations

Merge rows with filtering joins

Merging columns

module 4
week 6
columns
join
merge
mutating joins

Merge columns with mutating joins

Separating data

module 4
week 6
coalesce
complete
expand
fill
missing data
nesting
separate
unite

Separate or unite values in columns

Summarizing rows

module 3
week 5
across
count
group_by
slice
summarise

Aggregate row values

Filtering rows

module 3
week 5
arrange
conditional statements
filter
missing data
rows

Remove rows based on data values

Piping

module 3
week 4
mutate
pipes
select

Pipes let us combine chains of functions

Mutating columns

module 3
week 4
across
case_when
columns
conditional statements
ifelse
mutate
rowwise

Change and create data in columns

Selecting columns

module 3
week 4
columns
relocate
rename
select

Select, move, and rename columns

Validating data

module 2
week 3
codebooks
data types
duplicates
missing data
validate

Tools for ensuring your data are valid

Importing data

module 2
week 3
CSV
Excel
export
import
Qualtrics

Import and export data from different sources

Data types

module 2
week 2
characters
coercion
dates
factors
logicals
missing data
numerics

Create and convert numerics, character strings, logicals, factors, and dates.

Workflows

module 1
week 2
file systems
paths
RStudio Projects
working directories

Access file systems with paths and set working directories with RStudio Projects

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