Showing 12 of total 12 results (show query)
tidyverse
readr:Read Rectangular Text Data
The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Maintained by Jennifer Bryan. Last updated 8 months ago.
1.0k stars 20.06 score 132k scripts 2.1k dependents
dynverse
anndata:'anndata' for R
A 'reticulate' wrapper for the Python package 'anndata'. Provides a scalable way of keeping track of data and learned annotations. Used to read from and write to the h5ad file format.
Maintained by Robrecht Cannoodt. Last updated 23 days ago.
44 stars 9.47 score 772 scripts 3 dependents
ropengov
retroharmonize:Ex Post Survey Data Harmonization
Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
Maintained by Daniel Antal. Last updated 2 months ago.
10 stars 7.62 score 59 scripts
hope-data-science
tidyft:Fast and Memory Efficient Data Operations in Tidy Syntax
Tidy syntax for 'data.table', using modification by reference whenever possible. This toolkit is designed for big data analysis in high-performance desktop or laptop computers. The syntax of the package is similar or identical to 'tidyverse'. It is user friendly, memory efficient and time saving. For more information, check its ancestor package 'tidyfst'.
Maintained by Tian-Yuan Huang. Last updated 6 months ago.
35 stars 6.25 score 34 scripts
fvafrcu
fritools:Utilities for the Forest Research Institute of the State Baden-Wuerttemberg
Miscellaneous utilities, tools and helper functions for finding and searching files on disk, searching for and removing R objects from the workspace. Does not import or depend on any third party package, but on core R only (i.e. it may depend on packages with priority 'base').
Maintained by Andreas Dominik Cullmann. Last updated 1 months ago.
5.82 score 4 scripts 6 dependents
jinkim3
kim:A Toolkit for Behavioral Scientists
A collection of functions for analyzing data typically collected or used by behavioral scientists. Examples of the functions include a function that compares groups in a factorial experimental design, a function that conducts two-way analysis of variance (ANOVA), and a function that cleans a data set generated by Qualtrics surveys. Some of the functions will require installing additional package(s). Such packages and other references are cited within the section describing the relevant functions. Many functions in this package rely heavily on these two popular R packages: Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.
Maintained by Jin Kim. Last updated 1 months ago.
7 stars 4.62 score 3 scripts
bupaverse
daqapo:Data Quality Assessment for Process-Oriented Data
Provides a variety of methods to identify data quality issues in process-oriented data, which are useful to verify data quality in a process mining context. Builds on the class for activity logs implemented in the package 'bupaR'. Methods to identify data quality issues either consider each activity log entry independently (e.g. missing values, activity duration outliers,...), or focus on the relation amongst several activity log entries (e.g. batch registrations, violations of the expected activity order,...).
Maintained by Niels Martin. Last updated 3 years ago.
6 stars 3.78 score 9 scripts
kwb-r
kwb.fakin:Functions Used in Our Fakin Project
This package contains all functions and evaluations related to KWB project "FAKIN". Set the Subversion setting 'enable-auto-props' to 'yes' so that the 'auto-probs' options are considered.
Maintained by Hauke Sonnenberg. Last updated 3 years ago.
project-fakinresearch-data-management
1 stars 3.40 score 1 scriptskwb-r
dwc.wells:A Package for Condition Predictions for Drinking Water Wells
This package allows to predict the condition of a drinking water well based on ML models. The models are trained with results from pump tests and a large set of input variables e.g. the well material, the age and the number of regenerations.
Maintained by Michael Rustler. Last updated 3 years ago.
3.00 score 7 scripts
villegar
splash:Simple Process-Led Algorithms for Simulating Habitats
This program calculates bioclimatic indices and fluxes (radiation, evapotranspiration, soil moisture) for use in studies of ecosystem function, species distribution, and vegetation dynamics under changing climate scenarios. Predictions are based on a minimum of required inputs: latitude, precipitation, air temperature, and cloudiness. Davis et al. (2017) <doi:10.5194/gmd-10-689-2017>.
Maintained by Roberto Villegas-Diaz. Last updated 2 years ago.
1 stars 2.70 score 10 scriptskwb-r
sema.berlin.utils:Utillity Functions Used in sema.berlin Packages
This package provides utility functions that are used in sema.berlin.* packages.
Maintained by Hauke Sonnenberg. Last updated 3 years ago.
2.18 score 1 dependents