R-universe search: exports:delete

Showing 22 of total 22 results (show query)

truecluster

ff:Memory-Efficient Storage of Large Data on Disk and Fast Access Functions

The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf class not unlike data.frames and import/export filters for csv files. ff objects store raw data in binary flat files in native encoding, and complement this with metadata stored in R as physical and virtual attributes. ff objects have well-defined hybrid copying semantics, which gives rise to certain performance improvements through virtualization. ff objects can be stored and reopened across R sessions. ff files can be shared by multiple ff R objects (using different data en/de-coding schemes) in the same process or from multiple R processes to exploit parallelism. A wide choice of finalizer options allows to work with 'permanent' files as well as creating/removing 'temporary' ff files completely transparent to the user. On certain OS/Filesystem combinations, creating the ff files works without notable delay thanks to using sparse file allocation. Several access optimization techniques such as Hybrid Index Preprocessing and Virtualization are implemented to achieve good performance even with large datasets, for example virtual matrix transpose without touching a single byte on disk. Further, to reduce disk I/O, 'logicals' and non-standard data types get stored native and compact on binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE and NA. Beyond basic access functions, the ff package also provides compatibility functions that facilitate writing code for ff and ram objects and support for batch processing on ff objects (e.g. as.ram, as.ff, ffapply). ff interfaces closely with functionality from package 'bit': chunked looping, fast bit operations and coercions between different objects that can store subscript information ('bit', 'bitwhich', ff 'boolean', ri range index, hi hybrid index). This allows to work interactively with selections of large datasets and quickly modify selection criteria. Further high-performance enhancements can be made available upon request.

Maintained by Jens Oehlschlägel. Last updated 3 months ago.

cpp

27 stars 12.01 score 764 scripts 71 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

trinker

qdap:Bridging the Gap Between Qualitative Data and Quantitative Analysis

Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.

Maintained by Tyler Rinker. Last updated 5 years ago.

qdap quantitative-discourse-analysis text-analysis text-mining text-plotting openjdk

176 stars 9.61 score 1.3k scripts 3 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.

ai api llm llms ollama ollama-api

89 stars 9.32 score 74 scripts 5 dependents

ropensci

gistr:Work with 'GitHub' 'Gists'

Work with 'GitHub' 'gists' from 'R' (e.g., <https://en.wikipedia.org/wiki/GitHub#Gist>, <https://docs.github.com/en/github/writing-on-github/creating-gists/>). A 'gist' is simply one or more files with code/text/images/etc. This package allows the user to create new 'gists', update 'gists' with new files, rename files, delete files, get and delete 'gists', star and 'un-star' 'gists', fork 'gists', open a 'gist' in your default browser, get embed code for a 'gist', list 'gist' 'commits', and get rate limit information when 'authenticated'. Some requests require authentication and some do not. 'Gists' website: <https://gist.github.com/>.

Maintained by Scott Chamberlain. Last updated 2 years ago.

http https api web-services github github api gist gists code script snippet api-wrapper github-api github-gist

104 stars 8.28 score 42 scripts 2 dependents

dbosak01

libr:Libraries, Data Dictionaries, and a Data Step for R

Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.

Maintained by David Bosak. Last updated 3 months ago.

cpp

27 stars 8.27 score 48 scripts 2 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

bioc

sevenbridges:Seven Bridges Platform API Client and Common Workflow Language Tool Builder in R

R client and utilities for Seven Bridges platform API, from Cancer Genomics Cloud to other Seven Bridges supported platforms.

Maintained by Phil Webster. Last updated 5 months ago.

software dataimport thirdpartyclient api-client bioconductor bioinformatics cloud common-workflow-language sevenbridges

35 stars 7.40 score 24 scripts

vgherard

r2r:R-Object to R-Object Hash Maps

Implementation of hash tables (hash sets and hash maps) in R, featuring arbitrary R objects as keys, arbitrary hash and key-comparison functions, and customizable behaviour upon queries of missing keys.

Maintained by Valerio Gherardi. Last updated 5 months ago.

data-structures hashtable

3 stars 7.36 score 82 scripts 28 dependents

rpahl

container:Extending Base 'R' Lists

Extends the functionality of base 'R' lists and provides specialized data structures 'deque', 'set', 'dict', and 'dict.table', the latter to extend the 'data.table' package.

Maintained by Roman Pahl. Last updated 3 months ago.

container data-structures deque dict sets

16 stars 7.13 score 140 scripts

syncrosim

rsyncrosim:The R Interface to 'SyncroSim'

'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).

Maintained by Katie Birchard. Last updated 22 days ago.

9 stars 7.09 score 189 scripts

lawremi

restfulr:R Interface to RESTful Web Services

Models a RESTful service as if it were a nested R list.

Maintained by Michael Lawrence. Last updated 3 years ago.

2 stars 6.90 score 8 scripts 482 dependents

calvagone

campsismod:Generic Implementation of a PK/PD Model

A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read/write a pharmacometric model from/to files and adapt it further on the fly in the R environment. For this purpose, this package provides an intuitive API to add, modify or delete equations, ordinary differential equations (ODE's), model parameters or compartment properties (like infusion duration or rate, bioavailability and initial values). Finally, this package also provides a useful export of the model for use with simulation packages 'rxode2' and 'mrgsolve'. This package is designed and intended to be used with package 'campsis', a PK/PD simulation platform built on top of 'rxode2' and 'mrgsolve'.

Maintained by Nicolas Luyckx. Last updated 12 days ago.

5 stars 6.82 score 42 scripts 1 dependents

rickhelmus

patRoon:Workflows for Mass-Spectrometry Based Non-Target Analysis

Provides an easy-to-use interface to a mass spectrometry based non-target analysis workflow. Various (open-source) tools are combined which provide algorithms for extraction and grouping of features, extraction of MS and MS/MS data, automatic formula and compound annotation and grouping related features to components. In addition, various tools are provided for e.g. data preparation and cleanup, plotting results and automatic reporting.

Maintained by Rick Helmus. Last updated 8 days ago.

mass-spectrometry non-target cpp openjdk

65 stars 6.24 score 43 scripts

gwidgets3

gWidgets2:Rewrite of gWidgets API for Simplified GUI Construction

Re-implementation of the 'gWidgets' API. The API is defined in this package. A second, toolkit-specific package is required to use it. At this point only 'gWidgets2tcltk' is viable.

Maintained by John Verzani. Last updated 3 years ago.

3 stars 6.00 score 78 scripts 9 dependents

ltrr-arizona-edu

burnr:Forest Fire History Analysis

Tools to read, write, parse, and analyze forest fire history data (e.g. FHX). Described in Malevich et al. (2018) <doi:10.1016/j.dendro.2018.02.005>.

Maintained by Steven Malevich. Last updated 3 years ago.

citation dendrochronology ecology forestfire plot scientific statistics

15 stars 5.95 score 59 scripts

dleutnant

influxdbr:R Interface to InfluxDB

An R interface to the InfluxDB time series database <https://www.influxdata.com>. This package allows you to fetch and write time series data from/to an InfluxDB server. Additionally, handy wrappers for the Influx Query Language (IQL) to manage and explore a remote database are provided.

Maintained by Dominik Leutnant. Last updated 5 years ago.

database influxdb tidyverse timeseries

94 stars 5.90 score 28 scripts

anthonypileggi

casino:Play Casino Games

Play casino games in the R console, including poker, blackjack, and a slot machine. Try to build your fortune before you succumb to the gambler's ruin!

Maintained by Anthony Pileggi. Last updated 6 years ago.

10 stars 4.81 score 13 scripts

milesmcbain

capsule:A streamlined inversion of `renv`

A `capsule` is a stable local package library that you consciously choose to execute code within. Think of it as representing 'production', while your normal interactive R session represents 'development'.

Maintained by Miles McBain. Last updated 25 days ago.

156 stars 4.19 score 5 scripts

henrikbengtsson

R.huge:Methods for Accessing Huge Amounts of Data [deprecated]

DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system. This way the size limit of the data is set by the file system and not the memory.)

Maintained by Henrik Bengtsson. Last updated 1 years ago.

3.88 score 2 scripts 5 dependents