# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bulkreadr" in publications use:' type: software license: MIT title: 'bulkreadr: The Ultimate Tool for Reading Data in Bulk' version: 1.1.1 doi: 10.32614/CRAN.package.bulkreadr abstract: Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata. authors: - family-names: Ogundepo given-names: Ezekiel email: gbganalyst@gmail.com orcid: https://orcid.org/0000-0003-3974-2733 repository: https://ropensci-champions.r-universe.dev repository-code: https://github.com/gbganalyst/bulkreadr commit: 782408235b13ca4d1d196cf77c6d565088807d8f url: https://gbganalyst.github.io/bulkreadr/ contact: - family-names: Ogundepo given-names: Ezekiel email: gbganalyst@gmail.com orcid: https://orcid.org/0000-0003-3974-2733