Showing 15 of total 15 results (show query)
rdatatable
data.table:Extension of `data.frame`
Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Maintained by Tyson Barrett. Last updated 2 days ago.
3.7k stars 23.51 score 230k scripts 4.6k dependents
gdemin
expss:Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Maintained by Gregory Demin. Last updated 12 months ago.
excellabelslabels-supportmsexcelpivot-tablesrecodespssspss-statisticstablesvariable-labelsvlookup
84 stars 11.00 score 1.8k scripts 4 dependents
crunch-io
crunch:Crunch.io Data Tools
The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Maintained by Greg Freedman Ellis. Last updated 8 days ago.
9 stars 10.47 score 200 scripts 2 dependents
hope-data-science
tidyfst:Tidy Verbs for Fast Data Manipulation
A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Maintained by Tian-Yuan Huang. Last updated 6 months ago.
100 stars 10.06 score 118 scripts 4 dependents
hauselin
ollamar:'Ollama' Language Models
An interface to easily run local language models with 'Ollama' <https://ollama.com> server and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets you run open-source large language models locally on your machine.
Maintained by Hause Lin. Last updated 5 days ago.
89 stars 9.32 score 74 scripts 5 dependentsgdemin
maditr:Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.
Maintained by Gregory Demin. Last updated 5 months ago.
61 stars 8.98 score 248 scripts 7 dependents
drjphughesjr
hash:Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries
Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.
Maintained by John Hughes. Last updated 2 years ago.
1 stars 7.54 score 4.0k scripts 50 dependents
dfriend21
quadtree:Region Quadtrees for Spatial Data
Provides functionality for working with raster-like quadtrees (also called “region quadtrees”), which allow for variable-sized cells. The package allows for flexibility in the quadtree creation process. Several functions defining how to split and aggregate cells are provided, and custom functions can be written for both of these processes. In addition, quadtrees can be created using other quadtrees as “templates”, so that the new quadtree's structure is identical to the template quadtree. The package also includes functionality for modifying quadtrees, querying values, saving quadtrees to a file, and calculating least-cost paths using the quadtree as a resistance surface.
Maintained by Derek Friend. Last updated 2 years ago.
19 stars 6.34 score 58 scriptshope-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
mhahsler
rEMM:Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.
Maintained by Michael Hahsler. Last updated 7 months ago.
clusteringdata-streamsequence-analysis
2 stars 3.79 score 31 scripts
rogiersbart
rui:A simple set of UI functions
This package provides a wrapper around different cli and usethis functions, aiming at providing a small but consistent set of verbs to construct a simple R package UI.
Maintained by Bart Rogiers. Last updated 9 months ago.
3.48 score 2 dependents
yannrichet-asnr
rlibkriging:Kriging Models using the 'libKriging' Library
Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Maintained by Yann Richet. Last updated 2 months ago.
3.40 score 126 scripts
rbgramacy
dynaTree:Dynamic Trees for Learning and Design
Inference by sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential design and optimization, fully online learning with drift, variable selection, and sensitivity analysis of inputs. Illustrative examples from the original dynamic trees paper (Gramacy, Taddy & Polson (2011); <doi:10.1198/jasa.2011.ap09769>) are facilitated by demos in the package; see demo(package="dynaTree").
Maintained by Robert B. Gramacy. Last updated 7 months ago.
2 stars 1.66 score 23 scripts
cran
spectralGP:Approximate Gaussian Processes Using the Fourier Basis
Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes in one and two dimensions using the Fourier basis approximation: simulation and plotting of processes, calculation of coefficient variances, calculation of process density, coefficient proposals (for use in MCMC). It uses R environments to store GP objects as references/pointers.
Maintained by Chris Paciorek. Last updated 10 years ago.
1 stars 1.00 score