Found 465 results

Sort: relevance | popular | newest
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Last Release on Oct 5, 2024
Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Last Release on Nov 4, 2024
An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
Last Release on Sep 17, 2024
A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to ...
Last Release on Feb 15, 2021
Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Last Release on Jun 4, 2024
Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.
Last Release on Nov 4, 2024
Flexibly restructure and aggregate data using just two functions: melt and cast.
Last Release on Feb 16, 2021
A set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of 'plyr' has been generously supported by 'Becton Dickinson'.
Last Release on May 30, 2024
Convert statistical analysis objects from R into tidy data frames, so that they can more easily be combined, reshaped and otherwise processed with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three S3 generics: tidy, which summarizes a model's statistical findings such as coefficients of a regression; augment, which adds columns to the original data such as predictions, residuals and cluster assignments; and glance, which provides a one-row summary of model-level statistics.
Last Release on May 1, 2022
Provides a set of functions for data manipulation with list objects, including mapping, filtering, grouping, sorting, updating, searching, and other useful functions. Most functions are designed to be pipeline friendly so that data processing with lists can be chained.
Last Release on Feb 14, 2021