Showing 9 of total 9 results (show query)
tidyverse
dplyr:A Grammar of Data Manipulation
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Maintained by Hadley Wickham. Last updated 26 days ago.
4.8k stars 24.68 score 659k scripts 7.8k dependents
sebkrantz
collapse:Advanced and Fast Data Transformation
A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.
Maintained by Sebastian Krantz. Last updated 7 days ago.
data-aggregationdata-analysisdata-manipulationdata-processingdata-sciencedata-transformationeconometricshigh-performancepanel-datascientific-computingstatisticstime-seriesweightedweightscppopenmp
672 stars 16.68 score 708 scripts 99 dependents
nathaneastwood
poorman:A Poor Man's Dependency Free Recreation of 'dplyr'
A replication of key functionality from 'dplyr' and the wider 'tidyverse' using only 'base'.
Maintained by Nathan Eastwood. Last updated 1 years ago.
base-rdata-manipulationgrammar
342 stars 10.79 score 156 scripts 27 dependents
fastverse
fastverse:A Suite of High-Performance Packages for Statistics and Data Manipulation
Easy installation, loading and management, of high-performance packages for statistical computing and data manipulation in R. The core 'fastverse' consists of 4 packages: 'data.table', 'collapse', 'kit' and 'magrittr', that jointly only depend on 'Rcpp'. The 'fastverse' can be freely and permanently extended with additional packages, both globally or for individual projects. Separate package verses can also be created. Fast packages for many common tasks such as time series, dates and times, strings, spatial data, statistics, data serialization, larger-than-memory processing, and compilation of R code are listed in the README file: <https://github.com/fastverse/fastverse#suggested-extensions>.
Maintained by Sebastian Krantz. Last updated 1 months ago.
ccppdata-aggregationdata-manipulationdata-sciencedata-transformationhigh-performancelow-dependencypanel-datastatistical-computingtime-seriesweights
266 stars 8.98 score 222 scripts
bouldercodehub
RWDataPlyr:Read and Manipulate Data from 'RiverWare'
A tool to read and manipulate data generated from 'RiverWare'(TM) <http://www.riverware.org/> simulations. 'RiverWare' and 'RiverSMART' generate data in "rdf", "csv", and "nc" format. This package provides an interface to read, aggregate, and summarize data from one or more simulations in a 'dplyr' pipeline.
Maintained by Alan Butler. Last updated 2 years ago.
4 stars 5.66 score 77 scripts
psolymos
mefa4:Multivariate Data Handling with S4 Classes and Sparse Matrices
An S4 update of the 'mefa' package using sparse matrices for enhanced efficiency. Sparse array-like objects are supported via lists of sparse matrices.
Maintained by Peter Solymos. Last updated 6 months ago.
data-manipulationecologysparse-matrices
5.34 score 368 scripts 2 dependents
daranzolin
hacksaw:Additional Tools for Splitting and Cleaning Data
Move between data frames and lists more efficiently with precision splitting via 'dplyr' verbs. Easily cast variables to different data types. Keep rows with NAs. Shift row values.
Maintained by David Ranzolin. Last updated 4 years ago.
34 stars 4.84 score 41 scripts
zajichek
cheese:Tools for Working with Data During Statistical Analysis
Contains tools for working with data during statistical analysis, promoting flexible, intuitive, and reproducible workflows. There are functions designated for specific statistical tasks such building a custom univariate descriptive table, computing pairwise association statistics, etc. These are built on a collection of data manipulation tools designed for general use that are motivated by the functional programming concept.
Maintained by Alex Zajichek. Last updated 2 years ago.
data-manipulationstatistical-analysis
4.00 score 2 scripts
petrbouchal
purrrow:Out-of-memory data collation into Arrow datasets
Iterate over a function and collate its output into an Arrow dataset, without loading the whole result set into memory.
Maintained by Petr Bouchal. Last updated 4 years ago.
arrowdata-manipulationdata-storage
6 stars 2.48 score 2 scripts