Overview

dta provides simple and efficient tools for data management and manipulation, including functions to clean, transform, and format datasets using popular data-handling methods. It aims to simplify common data-wrangling tasks. These include:

• dta_bmi() computes the Body Mass Index (BMI) given weight and height columns in a data frame or tibble.
• dta_freq_mrq() Frequency table for multiple response questions.
• dta_mrq() Split multiple response question column into binary columns.
• dta_recode_auto() Automatically recode categorical variables in a data frame.
• dta_recode() Recode variables in a data frame based on a dictionary.
• dta_transpose() Transpose a data frame with specified column as variable names.

Among others. The full list of functions is available on the documentation

Installation

install.packages("devtools")
devtools::install_github("stemxresearch/dta")

Usage

To use the dta package, you must start by loading it using the library() function as shown below.

library(dta)

Getting started

Click the Get Started link on the top menu or follow the link Getting started for a quick tutorial on the dta library.

Documentation

The Reference menu on the top menu or this page provides a list of all the functions available in the dta package with help documentation including syntax and examples.

Getting help

If you encounter a clear bug, please file an issue with a minimal reproducible example on GitHub.

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.