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wizaRdry (version 0.2.0)

A Magical Framework for Collaborative & Reproducible Data Analysis

Description

A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) .

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Install

install.packages('wizaRdry')

Monthly Downloads

238

Version

0.2.0

License

MIT + file LICENSE

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Repository

https://github.com/belieflab/wizaRdry

Maintainer

Joshua G. Kenney

Last Published

April 25th, 2025

Functions in wizaRdry (0.2.0)

Parse composite MongoDB collection into component data frames by variable prefix

Display table of available MongoDB collections

Alias for 'mongo'

Generate validated NDA submission templates created in the ./nda directory

Alias for 'qualtrics'

Create .csv file from a data frame

Fetch data from REDCap to be stored in a data frame

Filter data frame by superkey parameters, rows, and columns

Initialize the wizaRdry directory structure inside an R project

Create .rds file from a data frame

Create .sav SPSS file from a data frame

wizaRdry-package

wizaRdry: A Magical Framework for Collaborative & Reproducible Data Analysis

Display table of available REDCap instruments and their labels

Parse composite data frame into component data frames by variable prefix

Create NDA Submission Template

Fetch REDCap data dictionary to be stored in data frame

Parse composite Qualtrics survey into component data frames by variable prefix

qualtrics.index

Display table of available Qualtrics surveys

Fetch Qualtrics survey metadata to be stored in data frame

Alias for 'meld'

Alias for 'sift'

Display a file tree structure similar to the Unix tree command

Generate clean data frames from cleaning scripts created in the ./clean directory

Alias for 'to.sav'

Alias for 'to.csv'

Assign a Secret Value

Alias for 'clean'

Alias for 'to.rds'

Alias for 'redcap'

Merge two or more data frames magically according to their candidate key

Retrieve Survey Data from Qualtrics

Alias for 'nda'

Fetch data from MongoDB to be stored in a data frame