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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 25 days ago.
4.8k stars 24.68 score 659k scripts 7.8k dependents
thomasp85
tidygraph:A Tidy API for Graph Manipulation
A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. 'tidygraph' provides an approach to manipulate these two virtual data frames using the API defined in the 'dplyr' package, as well as provides tidy interfaces to a lot of common graph algorithms.
Maintained by Thomas Lin Pedersen. Last updated 2 months ago.
graph-algorithmsgraph-manipulationigraphnetwork-analysistidyversecpp
553 stars 14.74 score 4.6k scripts 136 dependents
gergness
srvyr:'dplyr'-Like Syntax for Summary Statistics of Survey Data
Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Maintained by Greg Freedman Ellis. Last updated 2 months ago.
215 stars 13.88 score 1.8k scripts 15 dependents
dieghernan
tidyterra:'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Maintained by Diego Hernangómez. Last updated 4 days ago.
terraggplot-extensionr-spatialrspatial
190 stars 13.59 score 1.9k scripts 25 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
statisfactions
simpr:Flexible 'Tidyverse'-Friendly Simulations
A general, 'tidyverse'-friendly framework for simulation studies, design analysis, and power analysis. Specify data generation, define varying parameters, generate data, fit models, and tidy model results in a single pipeline, without needing loops or custom functions.
Maintained by Ethan Brown. Last updated 9 months ago.
43 stars 6.89 score 30 scripts
tesselle
nexus:Sourcing Archaeological Materials by Chemical Composition
Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.
Maintained by Nicolas Frerebeau. Last updated 24 days ago.
archaeologyarchaeological-sciencearchaeometrycompositional-dataprovenance-studies
5.21 score 26 scripts 1 dependents
stocnet
ERPM:Exponential Random Partition Models
Simulates and estimates the Exponential Random Partition Model presented in the paper Hoffman, Block, and Snijders (2023) <doi:10.1177/00811750221145166>. It can also be used to estimate longitudinal partitions, following the model proposed in Hoffman and Chabot (2023) <doi:10.1016/j.socnet.2023.04.002>. The model is an exponential family distribution on the space of partitions (sets of non-overlapping groups) and is called in reference to the Exponential Random Graph Models (ERGM) for networks.
Maintained by Marion Hoffman. Last updated 10 months ago.
10 stars 4.78 score
bioc
plyinteractions:Extending tidy verbs to genomic interactions
Operate on `GInteractions` objects as tabular data using `dplyr`-like verbs. The functions and methods in `plyinteractions` provide a grammatical approach to manipulate `GInteractions`, to facilitate their integration in genomic analysis workflows.
Maintained by Jacques Serizay. Last updated 5 months ago.
4.75 score 14 scripts
r-forge
pems.utils:Portable Emissions (and Other Mobile) Measurement System Utilities
Utility functions for the handling, analysis and visualisation of data from portable emissions measurement systems ('PEMS') and other similar mobile activity monitoring devices. The package includes a dedicated 'pems' data class that manages many of the quality control, unit handling and data archiving issues that can hinder efforts to standardise 'PEMS' research.
Maintained by Karl Ropkins. Last updated 3 months ago.
3.06 score 19 scripts