R-universe search: exports:unpack

Showing 15 of total 15 results (show query)

tidyverse

tidyr:Tidy Messy Data

Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).

Maintained by Hadley Wickham. Last updated 25 days ago.

tidy-data cpp

1.4k stars 22.88 score 168k scripts 5.5k dependents

r-forge

Matrix:Sparse and Dense Matrix Classes and Methods

A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.

Maintained by Martin Maechler. Last updated 19 days ago.

openblas

1 stars 17.23 score 33k scripts 12k dependents

winvector

wrapr:Wrap R Tools for Debugging and Parametric Programming

Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.

Maintained by John Mount. Last updated 2 years ago.

137 stars 11.11 score 390 scripts 12 dependents

nacnudus

unpivotr:Unpivot Complex and Irregular Data Layouts

Tools for converting data from complex or irregular layouts to a columnar structure. For example, tables with multilevel column or row headers, or spreadsheets. Header and data cells are selected by their contents and position, as well as formatting and comments where available, and are associated with one other by their proximity in given directions. Functions for data frames and HTML tables are provided.

Maintained by Duncan Garmonsway. Last updated 2 months ago.

excel pivot-tables spreadsheet

186 stars 10.35 score 368 scripts 3 dependents

reconverse

incidence2:Compute, Handle and Plot Incidence of Dated Events

Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted.

Maintained by Tim Taylor. Last updated 17 days ago.

17 stars 7.67 score 104 scripts 1 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

bioc

GenomicFiles:Distributed computing by file or by range

This package provides infrastructure for parallel computations distributed 'by file' or 'by range'. User defined MAPPER and REDUCER functions provide added flexibility for data combination and manipulation.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

genetics infrastructure dataimport sequencing coverage

6.86 score 89 scripts 16 dependents

merck

pkglite:Compact Package Representations

A tool, grammar, and standard to represent and exchange R package source code as text files. Converts one or more source packages to a text file and restores the package structures from the file.

Maintained by Nan Xiao. Last updated 5 months ago.

clinical-trials ectd packaging-tool pharmaverse

29 stars 6.75 score 12 scripts

jakobraymaekers

cellWise:Analyzing Data with Cellwise Outliers

Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access) Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1080/00401706.2019.1677270> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1007/s10994-021-05960-5> (open access), Raymaekers and Rousseeuw (2021) <doi:10.52933/jdssv.v1i3.18> (open access), Raymaekers and Rousseeuw (2022) <arXiv:2207.13493> (open access) Rousseeuw (2022) <doi:10.1016/j.ecosta.2023.01.007> (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples", and "cellwise_weights_examples".

Maintained by Jakob Raymaekers. Last updated 1 years ago.

openblas cpp openmp

2 stars 6.06 score 54 scripts 16 dependents

mingdeyu

dgpsi:Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations

Interface to the 'python' package 'dgpsi' for Gaussian process, deep Gaussian process, and linked deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). The implementations follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and Ming, Williamson, & Guillas (2023) <doi:10.1080/00401706.2022.2124311> and Ming & Williamson (2023) <doi:10.48550/arXiv.2306.01212>. To get started with the package, see <https://mingdeyu.github.io/dgpsi-R/>.

Maintained by Deyu Ming. Last updated 3 days ago.

deep-gaussian-processes emulation gaussian-processes surrogate-models

6.03 score 76 scripts

bergsmat

metaplot:Data-Driven Plot Design

Designs plots in terms of core structure. See 'example(metaplot)'. Primary arguments are (unquoted) column names; order and type (numeric or not) dictate the resulting plot. Specify any y variables, x variable, any groups variable, and any conditioning variables to metaplot() to generate density plots, boxplots, mosaic plots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot() to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide' are honored, producing fully annotated plots with minimal effort. Attribute 'guide' is typically units, but may be encoded() to provide interpretations of categorical values (see '?encode'). Utility unpack() transforms scalar column attributes to row values and pack() does the reverse, supporting tool-neutral storage of metadata along with primary data. The package supports customizable aesthetics such as such as reference lines, unity lines, smooths, log transformation, and linear fits. The user may choose between trellis and ggplot output. Compact syntax and integrated metadata promote workflow scalability.

Maintained by Tim Bergsma. Last updated 1 years ago.

2 stars 4.49 score 52 scripts 1 dependents

joshuaulrich

pack:Convert values to/from raw vectors

Functions to easily convert data to binary formats other programs/machines can understand.

Maintained by Josh Ulrich. Last updated 8 years ago.

1 stars 4.14 score 44 scripts 1 dependents

hongyuanjia

rdyncall:Improved Foreign Function Interface and Dynamic Bindings to C Libraries

Provides a cross-platform framework for dynamic binding of C libraries using a flexible Foreign Function Interface ('FFI'). The FFI supports almost all fundamental C types, multiple calling conventions, symbolic access to foreign C 'struct'/'union' data types and wrapping of R functions as C callback function pointers. Dynamic bindings to shared C libraries are data-driven by cross-platform binding specification using a compact plain text format; an initial repository of bindings to a couple of common C libraries ('OpenGL', 'SDL2', 'Expat', 'glew', 'CUDA', 'OpenCL', 'ODE', 'R') comes with the package. The package includes a variety of technology demos and OS-specific notes for installation of shared libraries.

Maintained by Hongyuan Jia. Last updated 2 years ago.

6 stars 3.84 score 23 scripts

davidbuch

gretel:Generalized Path Analysis for Social Networks

The social network literature features numerous methods for assigning value to paths as a function of their ties. 'gretel' systemizes these approaches, casting them as instances of a generalized path value function indexed by a penalty parameter. The package also calculates probabilistic path value and identifies optimal paths in either value framework. Finally, proximity matrices can be generated in these frameworks that capture high-order connections overlooked in primitive adjacency sociomatrices. Novel methods are described in Buch (2019) <https://davidbuch.github.io/analyzing-networks-with-gretel.html>. More traditional methods are also implemented, as described in Yang, Knoke (2001) <doi:10.1016/S0378-8733(01)00043-0>.

Maintained by David Buch. Last updated 5 years ago.

cpp

1 stars 3.70 score 6 scripts

joshuaraytanzer

brxx:Bayesian Test Reliability Estimation

When samples contain missing data, are small, or are suspected of bias, estimation of scale reliability may not be trustworthy. A recommended solution for this common problem has been Bayesian model estimation. Bayesian methods rely on user specified information from historical data or researcher intuition to more accurately estimate the parameters. This package provides a user friendly interface for estimating test reliability. Here, reliability is modeled as a beta distributed random variable with shape parameters alpha=true score variance and beta=error variance (Tanzer & Harlow, 2020) <doi:10.1080/00273171.2020.1854082>.

Maintained by Joshua Ray Tanzer. Last updated 4 years ago.

1.70 score