InfoGuides: Software: Learn R: Exploration & Teaching

Packages

DescTools
inspectdf
SmartEDA
dlookr
ggquickeda - Best if you have categorical variables and would like to modify them before creating visuals.
- Only imports csv files within the interface, or can specify dataset when starting.
- Includes many tools to modify categorical data, like creating factors and merging groups.
- Many options to create plots, though the interface is cluttered and not always intuitive. Can also create Descriptive Statistics tables
ExPanDar - Point-and-Click Interface (can import SPSS files)
- Nice looking, but not customizable. Further, no code is produced, but you can make data changes such as: change variables, filter cases, group by factor levels, remove some outliers, and create new variables through formulas. Can save and restore settings, and can right click to save images (as png).
- Designed for time series, but datasets with any unique numeric variable will work

summarytools - Creates SPSS-like tables such as frequency, descriptive, and crosstabs
DataExplorer - Focuses on plots and reporting, also includes some data cleaning/prep functions ("feature engineering").

MOSAIC - Package to simplify functions for basic statistics
- created through an NSF-funded project with the motto “Less Volume, More Creativity”
- See Start Teaching With R and other Project Mosaic Little Books
- Labs for OpenIntro Statistics using R with the MOSAIC package
lessR / lessR Website - Easier-to-type functions with enhanced output
- package and book by David Gerbing
- book: R Data Analysis without Programming (not at Mason)
ggformula - uses formula notation and ggplot for ease of teaching graphing
jmv - The package that powers the jamovi point-and-click software

Learning Statistics with...
- Learning Statistics with R by Danielle Navarro
- Learning Statistics with Jamovi by Danielle Navarro and David Foxcroft
- Textbooks available in pdf; Written for students in psychology
Passion-Driven Statistics with R