Showing 51 of total 51 results (show query)
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.
httphttpsapiweb-servicesgithubgithub apigistgistscodescriptsnippetapi-wrappergithub-apigithub-gist
11.0 match 104 stars 8.30 score 42 scripts 2 dependents
oobianom
quickcode:Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Maintained by Obinna Obianom. Last updated 14 days ago.
8.8 match 5 stars 7.76 score 7 scripts 6 dependents
doccstat
fastcpd:Fast Change Point Detection via Sequential Gradient Descent
Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Maintained by Xingchi Li. Last updated 4 hours ago.
change-point-detectioncppcustom-functiongradient-descentlassolinear-regressionlogistic-regressionofflinepeltpenalized-regressionpoisson-regressionquasi-newtonstatisticstime-serieswarm-startfortranopenblascppopenmp
8.0 match 22 stars 7.00 score 7 scripts
thomazbastiaanssen
kronos:Microbiome Oriented Circadian Rhythm Analysis Toolkit
The goal of 'kronos' is to provide an easy-to-use framework to analyse circadian or otherwise rhythmic data using the familiar R linear modelling syntax, while taking care of the trigonometry under the hood.
Maintained by Thomaz Bastiaanssen. Last updated 2 years ago.
13.3 match 8 stars 3.86 score 18 scripts
kingaa
pomp:Statistical Inference for Partially Observed Markov Processes
Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Maintained by Aaron A. King. Last updated 1 months ago.
abcb-splinedifferential-equationsdynamical-systemsiterated-filteringlikelihoodlikelihood-freemarkov-chain-monte-carlomarkov-modelmathematical-modellingmeasurement-errorparticle-filtersequential-monte-carlosimulation-based-inferencesobol-sequencestate-spacestatistical-inferencestochastic-processestime-seriesopenblas
4.0 match 115 stars 11.81 score 1.3k scripts 4 dependents
yonicd
texPreview:Compile and Preview Snippets of 'LaTeX'
Compile snippets of 'LaTeX' directly into images from the R console to view in the 'RStudio' viewer pane, Shiny apps and 'RMarkdown' documents.
Maintained by Jonathan Sidi. Last updated 1 years ago.
5.4 match 52 stars 7.83 score 72 scripts
miracum
DIZtools:Lightweight Utilities for 'DIZ' R Package Development
Lightweight utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
Maintained by Jonathan M. Mang. Last updated 1 years ago.
10.0 match 3 stars 4.13 score 2 scripts 3 dependents
alexander-pastukhov
BiDimRegression:Calculates the Bidimensional Regression Between Two 2D Configurations
Calculates the bidimensional regression between two 2D configurations following the approach by Tobler (1965).
Maintained by Alexander Pastukhov. Last updated 3 years ago.
9.3 match 4.00 score 20 scripts
rstudio
pointblank:Data Validation and Organization of Metadata for Local and Remote Tables
Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
Maintained by Richard Iannone. Last updated 9 days ago.
data-assertionsdata-checkerdata-dictionariesdata-framesdata-inferencedata-managementdata-profilerdata-qualitydata-validationdata-verificationdatabase-tableseasy-to-understandreporting-toolschema-validationtesting-toolsyaml-configuration
3.5 match 932 stars 10.59 score 284 scripts
eddelbuettel
tidyCpp:Tidy C++ Header-Only Definitions for Parts of the C API of R
Core parts of the C API of R are wrapped in a C++ namespace via a set of inline functions giving a tidier representation of the underlying data structures and functionality using a header-only implementation without additional dependencies.
Maintained by Dirk Eddelbuettel. Last updated 4 months ago.
5.2 match 39 stars 6.67 score 2 dependents
rpruim
fastR2:Foundations and Applications of Statistics Using R (2nd Edition)
Data sets and utilities to accompany the second edition of "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2017), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet() function.
Maintained by Randall Pruim. Last updated 1 years ago.
5.6 match 13 stars 5.85 score 108 scripts
fdetsch
Orcs:Omnidirectional R Code Snippets
I tend to repeat the same code chunks over and over again. At first, this was fine for me and I paid little attention to such redundancies. A little later, when I got tired of manually replacing Linux filepaths with the referring Windows versions, and vice versa, I started to stuff some very frequently used work-steps into functions and, even later, into a proper R package. And that's what this package is - a hodgepodge of various R functions meant to simplify (my) everyday-life coding work without, at the same time, being devoted to a particular scope of application.
Maintained by Florian Detsch. Last updated 2 years ago.
5.0 match 5 stars 5.87 score 98 scripts
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 6 months ago.
guitar-tablaturelilypondlilypond-apimusic-analysismusic-datamusic-notationmusic-programmingmusic-syntaxmusic-transcriptionsheet-music
3.6 match 132 stars 7.87 score 94 scripts
mhealthgroup
MIMSunit:Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)
The MIMS-unit algorithm is developed to compute Monitor Independent Movement Summary Unit, a measurement to summarize raw accelerometer data while ensuring harmonized results across different devices. It also includes scripts to reproduce results in the related publication (John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).
Maintained by Qu Tang. Last updated 3 years ago.
6.7 match 12 stars 3.98 score 16 scripts
jonasrieger
ldaPrototype:Prototype of Multiple Latent Dirichlet Allocation Runs
Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs. LDA runs are specified by its assignments leading to estimators for distribution parameters. Repeated runs lead to different results, which we encounter by choosing the most representative LDA run as prototype.
Maintained by Jonas Rieger. Last updated 2 years ago.
latent-dirichlet-allocationldamodel-selectionmodelselectionreliabilitytext-miningtextdatatopic-modeltopic-modelstopic-similaritiestopicmodelingtopicmodelling
6.0 match 8 stars 4.44 score 23 scripts 1 dependents
hughjonesd
codesamples:R Code Samples From Various Sources
Contains a database of code snippets from Github and Stack Overflow.
Maintained by David Hugh-Jones. Last updated 9 months ago.
8.3 match 11 stars 3.04 score 2 scriptsjonasrieger
rollinglda:Construct Consistent Time Series from Textual Data
A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <doi:10.18653/v1/2021.findings-emnlp.201>. By a sequential approach, it enables the construction of LDA-based time series of topics that are consistent with previous states of LDA models. After an initial modeling, updates can be computed efficiently, allowing for real-time monitoring and detection of events or structural breaks.
Maintained by Jonas Rieger. Last updated 1 years ago.
consistencylatent-dirichlet-allocationldamodel-selectionreliabilitytext-miningtextdatatopic-modeltopic-modelstopicmodeltopicmodelingtopicmodelling
5.6 match 12 stars 4.03 score 18 scripts
lorenzwalthert
precommit:Pre-Commit Hooks
Useful git hooks for R building on top of the multi-language framework 'pre-commit' for hook management. This package provides git hooks for common tasks like formatting files with 'styler' or spell checking as well as wrapper functions to access the 'pre-commit' executable.
Maintained by Lorenz Walthert. Last updated 5 hours ago.
2.0 match 257 stars 9.72 score 10 scripts
spatpomp-org
spatPomp:Inference for Spatiotemporal Partially Observed Markov Processes
Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2024) <doi:10.48550/arXiv.2101.01157> for further description of the package.
Maintained by Edward Ionides. Last updated 4 months ago.
2.3 match 2 stars 7.38 score 93 scripts
zumbov2
findR:Find Code Snippets, R Scripts, R Markdown, PDF and Text Files with Pattern Matching
Scans all directories and subdirectories of a path for code snippets, R scripts, R Markdown, PDF or text files containing a specific pattern. Files found can be copied to a new folder.
Maintained by David Zumbach. Last updated 5 years ago.
3.2 match 8 stars 4.28 score 16 scripts 1 dependents
davisvaughan
treesitter:Bindings to 'Tree-Sitter'
Provides bindings to 'Tree-sitter', an incremental parsing system for programming tools. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited. It also includes a robust error recovery system that provides useful parse results even in the presence of syntax errors.
Maintained by Davis Vaughan. Last updated 6 months ago.
2.0 match 37 stars 6.62 score 18 scripts 2 dependents
matrix-profile-foundation
tsmp:Time Series with Matrix Profile
A toolkit implementing the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
Maintained by Francisco Bischoff. Last updated 3 years ago.
algorithmmatrix-profilemotif-searchtime-seriescpp
1.7 match 72 stars 7.29 score 179 scripts 1 dependents
jcrodriguez1989
rco:The R Code Optimizer
Automatically apply different strategies to optimize R code. 'rco' functions take R code as input, and returns R code as output.
Maintained by Juan Cruz Rodriguez. Last updated 4 months ago.
compilerfastgcchpcoptimizationoptimizer
1.8 match 82 stars 6.73 score
brodieg
vetr:Trust, but Verify
Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Maintained by Brodie Gaslam. Last updated 9 months ago.
argument-checksinput-validation
1.6 match 79 stars 7.50 score 67 scripts 1 dependents
terminological
ggrrr:Addressing Annoyances and Irritations
Visualisation hacks, tabular data helpers, fonts, caching, tidy data functions. It is an swiss army knife, jack of all trades.
Maintained by Robert Challen. Last updated 9 months ago.
4.0 match 1 stars 2.74 score 11 scripts
bodkan
slendr:A Simulation Framework for Spatiotemporal Population Genetics
A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the 'Python' module 'tskit' by Kelleher et al. (2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.
Maintained by Martin Petr. Last updated 12 days ago.
popgenpopulation-geneticssimulationsspatial-statistics
1.1 match 56 stars 9.15 score 88 scripts
scholaempirica
reschola:The Schola Empirica Package
A collection of utilies, themes and templates for data analysis at Schola Empirica.
Maintained by Jan Netík. Last updated 5 months ago.
2.0 match 4 stars 4.83 score 14 scripts
gadenbuie
js4shiny:Companion Package for JavaScript for Shiny Users
Companion Package for JavaScript for Shiny Users.
Maintained by Garrick Aden-Buie. Last updated 12 months ago.
2.0 match 54 stars 4.43 score 1 scripts
usaid-oha-si
gophr:Utility functions related to working with the MER Structured Dataset
This packages contains a number of functions for working with the PEPFAR MSD.
Maintained by Aaron Chafetz. Last updated 4 months ago.
1.3 match 1 stars 6.21 score 182 scripts 1 dependents
dipterix
shidashi:A Shiny Dashboard Template System
A template system based on 'AdminLTE3' (<https://adminlte.io/themes/v3/>) theme. Comes with default theme that can be easily customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Maintained by Zhengjia Wang. Last updated 1 years ago.
1.8 match 10 stars 4.72 score 35 scripts 1 dependents
tidyverse
reprex:Prepare Reproducible Example Code via the Clipboard
Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Maintained by Jennifer Bryan. Last updated 6 months ago.
githubreproducibilityrmarkdownstackoverflow
0.5 match 744 stars 15.58 score 498 scripts 127 dependents
liserman
handcodeR:Text Annotation App
Shiny-App that allows to annotate vectors of texts to predefined categories by hand.
Maintained by Lukas Isermann. Last updated 1 years ago.
1.8 match 18 stars 4.03 score 12 scripts
geobosh
Rdpack:Update and Manipulate Rd Documentation Objects
Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Maintained by Georgi N. Boshnakov. Last updated 11 hours ago.
bibtexbibtex-referencescitationsdocumentationrd-formatroxygen2
0.5 match 30 stars 13.76 score 73 scripts 2.3k dependents
katilingban
pakete:Utilities for Package Development
Tools and utilities for package development currently not available from usual development tools. These are mostly linked to personal preferences during the development process. They assist in making routine and repetitive tasks easily implementable.
Maintained by Ernest Guevarra. Last updated 6 days ago.
1.7 match 2 stars 3.78 score 4 scripts
cran
ravepipeline:Reproducible Pipeline Infrastructure for Neuroscience
Defines the underlying pipeline structure for reproducible neuroscience, adopted by 'RAVE' (reproducible analysis and visualization of intracranial electroencephalography); provides high-level class definition to build, compile, set, execute, and share analysis pipelines. Both R and 'Python' are supported, with 'Markdown' and 'shiny' dashboard templates for extending and building customized pipelines. See the full documentations at <https://rave.wiki>; to cite us, check out our paper by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or run citation("ravepipeline") for details.
Maintained by Zhengjia Wang. Last updated 3 days ago.
3.8 match 1.70 score
marc-hofmann
lmSubsets:Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Hofmann et al. (2020) <10.18637/jss.v093.i03>.
Maintained by Marc Hofmann. Last updated 5 years ago.
1.5 match 4 stars 3.98 score 24 scripts
bmcclintock
multimark:Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive "marks", such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks. See McClintock (2015) <doi:10.1002/ece3.1676> and Maronde et al. (2020) <doi:10.1002/ece3.6990>.
Maintained by Brett T. McClintock. Last updated 2 years ago.
1.5 match 1 stars 3.65 score 30 scripts
sbissantz
elisr:Exploratory Likert Scaling
An alternative to Exploratory Factor Analysis (EFA) for metrical data in R. Drawing on characteristics of classical test theory, Exploratory Likert Scaling (ELiS) supports the user exploring multiple one-dimensional data structures. In common research practice, however, EFA remains the go-to method to uncover the (underlying) structure of a data set. Orthogonal dimensions and the potential of overextraction are often accepted as side effects. As described in Müller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these problems. As a result, 'elisr' provides the platform to fully exploit the exploratory potential of the multiple scaling approach itself.
Maintained by Steven Bißantz. Last updated 4 years ago.
1.5 match 1 stars 3.70 score 4 scripts
skranz
glueformula:String interpolation to build regression formulas
Has the main function gl that is a variant of glue. It is useful for building regression formulas given vectors of variable names.
Maintained by Sebastian Kranz. Last updated 5 months ago.
regressionstring-interpolation
1.6 match 8 stars 3.08 score 10 scripts 1 dependents
tidymodels
usemodels:Boilerplate Code for 'Tidymodels' Analyses
Code snippets to fit models using the tidymodels framework can be easily created for a given data set.
Maintained by Max Kuhn. Last updated 5 months ago.
0.5 match 84 stars 6.88 score 128 scripts
spedygiorgio
mbbefd:Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignette shows code snippets to fit the distribution to empirical data. See, e.g., Bernegger (1997) <doi:10.2143/AST.27.1.563208> freely available on-line.
Maintained by Christophe Dutang. Last updated 22 days ago.
actuarialdestruction-rate-modelingreinsurancecpp
0.5 match 15 stars 7.05 score 99 scripts
juanv66x
qvirus:Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy
Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.
Maintained by Juan Pablo Acuña González. Last updated 11 days ago.
0.5 match 5.43 score 15 scripts
modesto-escobar
wikiTools:Tools for Wikidata and Wikipedia
A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Maintained by Modesto Escobar. Last updated 8 months ago.
0.5 match 2 stars 5.08 score 2 scripts
shapenaji
midas:Turn HTML 'Shiny'
Contains functions for converting existing HTML/JavaScript source into equivalent 'shiny' functions. Bootstraps the process of making new 'shiny' functions by allowing us to turn HTML snippets directly into R functions.
Maintained by Nicholas Jhirad. Last updated 7 years ago.
0.5 match 5 stars 4.35 score 3 scripts
dmolitor
jetty:Execute R in a 'Docker' Context
The goal of 'jetty' is to execute R functions and code snippets in an isolated R subprocess within a 'Docker' container and return the evaluated results to the local R session. 'jetty' can install necessary packages at runtime and seamlessly propagates errors and outputs from the 'Docker' subprocess back to the main session. 'jetty' is primarily designed for sandboxed testing and quick execution of example code.
Maintained by Daniel Molitor. Last updated 2 months ago.
0.5 match 7 stars 4.38 score 23 scripts
federiva
highlighter:Code Syntax Highlighting using the 'Prism.js' Library
Code Syntax Highlighting made easy for code snippets or complete files. Whether you're documenting your data analysis or creating interactive 'shiny' apps.
Maintained by Federico Rivadeneira. Last updated 1 years ago.
0.5 match 2 stars 4.18 score 15 scripts
sigbertklinke
stranslate:Simple Translation Between Different Languages
Message translation is often managed with 'po' files and the 'gettext' programme, but sometimes another solution is needed. In contrast to 'po' files, a more flexible approach is used as in the Fluent <https://projectfluent.org/> project with R Markdown snippets. The key-value approach allows easier handling of the translated messages.
Maintained by Sigbert Klinke. Last updated 1 years ago.
0.5 match 4.18 score 3 scripts 1 dependents
matt-dray
blogsnip:Misc RStudio Addins to Help R Markdown
Assorted RStudio addins for personal use that insert code snippets to help me write R Markdown documents, particularly {blogdown} posts.
Maintained by Matt Dray. Last updated 3 years ago.
0.5 match 3 stars 3.18 score
stefanedwards
AzureAppInsights:Include Azure Application Insights in Shiny apps.
Imports Azure Application Insights for web pages into Shiny apps via Microsoft's JS snippet. Allows app developers to submit page tracking and submit events.
Maintained by Stefan McKinnon Høj-Edwards. Last updated 4 years ago.
application-insightsshiny-apps
0.5 match 2.70 score 2 scripts
tylerpittman
BiostatsUHNplus:Nested Data Summary, Adverse Events and REDCap
Tools and code snippets for summarizing nested data, adverse events and REDCap study information.
Maintained by Tyler Pittman. Last updated 1 months ago.
0.5 match 2.18 score 6 scripts
ateshkoul
PredPsych:Predictive Approaches in Psychology
Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
Maintained by Atesh Koul. Last updated 6 years ago.
0.5 match 1.60 score 9 scripts