2020/05/10 by Federico Marotta, Marotta, Federico
Computer Science · Decision Sciences · #Big data #Computation (stat.CO) #Computer science #Data Analysis with R #Data Mining Algorithms and Applications #Data mining #Data science #FOS: Computer and information sciences #Scientific Computing and Data Management
paper · pdf · doi:10.48550/arxiv.2005.04711
openalex publication_date 2020/05/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present fplyr, a new package for the R language to deal with big files. It allows users to easily implement the split-apply-combine strategy for files that are too big to fit into the available memory, without relying on data bases nor introducing non-native R classes. A custom function can be applied independently to each group of observations, and the results may be either returned or directly printed to one or more output files.