Showing 22 of total 22 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 3 days ago.
3.7k stars 23.51 score 230k scripts 4.6k dependents
tidyverse
purrr:Functional Programming Tools
A complete and consistent functional programming toolkit for R.
Maintained by Hadley Wickham. Last updated 2 months ago.
1.3k stars 22.12 score 59k scripts 6.9k dependents
bioc
EBImage:Image processing and analysis toolbox for R
EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.
Maintained by Andrzej Oleś. Last updated 5 months ago.
visualizationbioinformaticsimage-analysisimage-processingcpp
71 stars 12.77 score 1.5k scripts 33 dependents
bioc
SpatialFeatureExperiment:Integrating SpatialExperiment with Simple Features in sf
A new S4 class integrating Simple Features with the R package sf to bring geospatial data analysis methods based on vector data to spatial transcriptomics. Also implements management of spatial neighborhood graphs and geometric operations. This pakage builds upon SpatialExperiment and SingleCellExperiment, hence methods for these parent classes can still be used.
Maintained by Lambda Moses. Last updated 2 months ago.
datarepresentationtranscriptomicsspatial
49 stars 9.40 score 322 scripts 1 dependents
gdemin
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
leonawicz
tabr:Music Notation Syntax, Manipulation, Analysis and Transcription in R
Provides a music notation syntax and a collection of music programming functions for generating, manipulating, organizing, and analyzing musical information in R. Music syntax can be entered directly in character strings, for example to quickly transcribe short pieces of music. The package contains functions for directly performing various mathematical, logical and organizational operations and musical transformations on special object classes that facilitate working with music data and notation. The same music data can be organized in tidy data frames for a familiar and powerful approach to the analysis of large amounts of structured music data. Functions are available for mapping seamlessly between these formats and their representations of musical information. The package also provides an API to 'LilyPond' (<https://lilypond.org/>) for transcribing musical representations in R into tablature ("tabs") and sheet music. 'LilyPond' is open source music engraving software for generating high quality sheet music based on markup syntax. The package generates 'LilyPond' files from R code and can pass them to the 'LilyPond' command line interface to be rendered into sheet music PDF files or inserted into R markdown documents. The package offers nominal MIDI file output support in conjunction with rendering sheet music. The package can read MIDI files and attempts to structure the MIDI data to integrate as best as possible with the data structures and functionality found throughout the package.
Maintained by Matthew Leonawicz. Last updated 7 months ago.
guitar-tablaturelilypondlilypond-apimusic-analysismusic-datamusic-notationmusic-programmingmusic-syntaxmusic-transcriptionsheet-music
132 stars 7.87 score 94 scripts
rmheiberger
HH:Statistical Analysis and Data Display: Heiberger and Holland
Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Maintained by Richard M. Heiberger. Last updated 2 months ago.
3 stars 6.42 score 752 scripts 5 dependents
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
cmann3
eList:List Comprehension and Tools
Create list comprehensions (and other types of comprehension) similar to those in 'python', 'haskell', and other languages. List comprehension in 'R' converts a regular for() loop into a vectorized lapply() function. Support for looping with multiple variables, parallelization, and across non-standard objects included. Package also contains a variety of functions to help with list comprehension.
Maintained by Chris Mann. Last updated 4 years ago.
2 stars 4.48 score 9 scripts 1 dependents
gaborcsardi
simplegraph:Simple Graph Data Types and Basic Algorithms
Simple classic graph algorithms for simple graph classes. Graphs may possess vertex and edge attributes. 'simplegraph' has no dependencies and it is written entirely in R, so it is easy to install.
Maintained by Gabor Csardi. Last updated 2 years ago.
2 stars 4.19 score 26 scripts 1 dependents
cran
optimbase:R Port of the 'Scilab' Optimbase Module
Provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constraints, the cost function, the logging system, various termination criteria, etc...
Maintained by Sebastien Bihorel. Last updated 3 years ago.
4.02 score 7 dependents
bbuchsbaum
multivarious:Extensible Data Structures for Multivariate Analysis
Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.
Maintained by Bradley Buchsbaum. Last updated 3 months ago.
3.53 score 17 scriptscran
siren:Hybrid FA-CFA for Controlling Acquiescence in Restricted Factorial Solutions
Performs hybrid multi-stage factor analytic procedure for controlling acquiescence in restricted solutions (Ferrando & Lorenzo-Seva, 2000 <https://www.uv.es/revispsi/articulos3.00/ferran7.pdf>).
Maintained by David Navarro-Gonzalez. Last updated 17 days ago.
2.30 scorecran
EFA.MRFA:Dimensionality Assessment Using Minimum Rank Factor Analysis
Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also includes the option to compute minimum rank factor analysis by itself, as well as the greater lower bound calculation.
Maintained by David Navarro-Gonzalez. Last updated 4 years ago.
1.95 score 3 dependentscran
tropAlgebra:Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In tropical algebra, the tropical sum of two numbers is their minimum and the tropical product of two numbers is their ordinary sum. For more information see also I. Simon (1988) Recognizable sets with multiplicities in the tropical semi ring: Volume 324 Lecture Notes I Computer Science, pages 107-120 <doi: 10.1007/BFb0017135>.
Maintained by Muhammad Kashif Hanif. Last updated 7 years ago.
2 stars 1.30 scorecran
ORIONZ.G:EAP Scoring in Exploratory FA Solutions with Correlated Residuals
Obtaining Bayes Expected A Posteriori (EAP) individual score estimates based on linear and non-linear extended Exploratoy Factor Analysis solutions that include a correlated-residual structure.
Maintained by David Navarro-Gonzalez. Last updated 8 months ago.
1.00 scorecran
unival:Assessing Essential Unidimensionality Using External Validity Information
Assess essential unidimensionality using external validity information using the procedure proposed by Ferrando & Lorenzo-Seva (2019) <doi:10.1177/0013164418824755>. Provides two indices for assessing differential and incremental validity, both based on a second-order modelling schema for the general factor.
Maintained by David Navarro-Gonzalez. Last updated 4 years ago.
1.00 scorecran
InDisc:Obtaining and Estimating Unidimensional and Multidimensional IRT Dual Models
Performs a unified approach for obtaining and estimating unidimensional and multidimensional Item Response Theory (IRT) Dual Models (DMs), proposed by Ferrando (2019 <doi:10.1177/0146621618817779>).
Maintained by David Navarro-Gonzalez. Last updated 4 years ago.
1.00 scorecran
vampyr:Factor Analysis Controlling the Effects of Response Bias
Vampirize the response biases from a dataset! Performs factor analysis controlling the effects of social desirability and acquiescence using the method described in Ferrando, Lorenzo-Seva & Chico (2009) <doi:10.1080/10705510902751374>.
Maintained by David Navarro-Gonzalez. Last updated 4 years ago.
1.00 score