All authors
Claude Skills by LeoLin990405
github.com/LeoLin990405307 skills2 installs489 views
- FuzzyjoinR fuzzyjoin package for fuzzy matching joins. Use for joining tables by inexact matching on strings, numbers, or distances.Votes: 0GitHub stars: 5
- JanitorR janitor package for data cleaning. Use for cleaning dirty data and creating tabulations.Votes: 0GitHub stars: 5
- LubridateR lubridate package for date-time manipulation. Use for parsing, extracting, and arithmetic with dates and times.Votes: 0GitHub stars: 5
- PurrrR purrr package for functional programming. Use for map, reduce, iteration, and list manipulation.Votes: 0GitHub stars: 5
- Reshape2R reshape2 package for data reshaping. Use for melting and casting data between wide and long formats.Votes: 0GitHub stars: 5
- StringiR stringi package for string processing. Use for fast, consistent string manipulation with ICU library.Votes: 0GitHub stars: 5
- StringrR stringr package for string manipulation. Use for pattern matching, extraction, replacement, and string operations.Votes: 0GitHub stars: 5
- TidyrR tidyr package for data tidying. Use for pivot_longer, pivot_wider, separate, unite, and handling missing values.Votes: 0GitHub stars: 5
- R Data ValidationR packages for data validation. Use for validating data quality and constraints.Votes: 0GitHub stars: 5
- AssertrR assertr package for assertion pipelines. Use for assertive programming with data frames.Votes: 0GitHub stars: 5
- PointblankR pointblank package for data quality. Use for data validation and quality reporting.Votes: 0GitHub stars: 5
- ValidateR validate package for data validation. Use for defining and checking data validation rules.Votes: 0GitHub stars: 5
- R DevR development packages. Use for package development, testing, documentation, code style, and IDE setup.Votes: 0GitHub stars: 5
- R Dev DocsR documentation with pkgdown, roxygen2, rmarkdown. Use for package websites and documentation.Votes: 0GitHub stars: 5
- R6R R6 package for OOP. Use for encapsulated object-oriented programming with reference semantics.Votes: 0GitHub stars: 5
- R Dev OopR OOP with R6, S3, S4. Use for object-oriented programming patterns.Votes: 0GitHub stars: 5
- R Dev PackageR package development with devtools, usethis, roxygen2. Use for creating and maintaining R packages.Votes: 0GitHub stars: 5
- BoxR box package for modular code. Use for creating reusable modules with explicit imports/exports.Votes: 0GitHub stars: 5
- CovrR covr package for test coverage. Use for measuring and reporting test coverage of R packages.Votes: 0GitHub stars: 5
- DevtoolsR devtools package for package development. Use for loading, documenting, testing, and building R packages.Votes: 0GitHub stars: 5
- LintrR lintr package for static code analysis. Use for checking R code style and finding potential issues.Votes: 0GitHub stars: 5
- PkgdownR pkgdown package for package websites. Use for generating documentation websites from R packages.Votes: 0GitHub stars: 5
- PryrR pryr package for R internals. Use for exploring R's internal workings and memory usage.Votes: 0GitHub stars: 5
- RcmdcheckR rcmdcheck package for R CMD check. Use for running R CMD check with better output.Votes: 0GitHub stars: 5
- RenvR renv package for dependency management. Use for creating isolated, reproducible R project environments.Votes: 0GitHub stars: 5
- Roxygen2R roxygen2 package for documentation. Use for in-source documentation with special comments.Votes: 0GitHub stars: 5
- StylerR styler package for code formatting. Use for automatically formatting R code to follow style guidelines.Votes: 0GitHub stars: 5
- TestthatR testthat package for unit testing. Use for writing and running unit tests for R packages.Votes: 0GitHub stars: 5
- UsethisR usethis package for workflow automation. Use for package setup, Git, GitHub, and project configuration.Votes: 0GitHub stars: 5
- R Dev ProfilingR packages for profiling and benchmarking. Use for measuring code performance and memory usage.Votes: 0GitHub stars: 5
- BenchR bench package for benchmarking. Use for high precision timing of R expressions.Votes: 0GitHub stars: 5
- LobstrR lobstr package for memory inspection. Use for understanding R object memory usage and structure.Votes: 0GitHub stars: 5
- MicrobenchmarkR microbenchmark package for precise timing. Use for sub-millisecond accurate timing of R expressions.Votes: 0GitHub stars: 5
- ProfvisR profvis package for interactive profiling. Use for visualizing R code profiling data.Votes: 0GitHub stars: 5
- R Dev TestingR testing with testthat, covr, mockery. Use for unit tests, coverage, and mocking.Votes: 0GitHub stars: 5
- MockeryR mockery package for mocking in tests. Use for stubbing functions and mocking dependencies.Votes: 0GitHub stars: 5
- RcppR Rcpp package for C++ integration. Use for seamless R and C++ integration.Votes: 0GitHub stars: 5
- R Language ApiR interfaces to other languages. Use for calling Python, Java, JavaScript, and other languages from R.Votes: 0GitHub stars: 5
- V8R V8 package for JavaScript integration. Use for running JavaScript code and using JS libraries from R.Votes: 0GitHub stars: 5
- Cpp11R cpp11 package for C++ integration. Use for modern C++11 integration with R.Votes: 0GitHub stars: 5
- ReticulateR reticulate package for Python integration. Use for calling Python from R, importing Python modules, and data exchange.Votes: 0GitHub stars: 5
- R LearningR learning and education packages. Use for interactive R tutorials and educational content.Votes: 0GitHub stars: 5
- LearnrR learnr package for interactive tutorials. Use for creating Shiny-based interactive R tutorials.Votes: 0GitHub stars: 5
- SwirlR swirl package for interactive learning. Use for learning R programming through interactive console tutorials.Votes: 0GitHub stars: 5
- R LoggingR logging packages for application logging. Use for structured logging, debugging, and monitoring R applications.Votes: 0GitHub stars: 5
- Futile.LoggerR futile.logger package for log4j-style logging. Use for hierarchical logging with layouts and appenders.Votes: 0GitHub stars: 5
- Log4rR log4r package for simple logging. Use for fast, simple log4j-style logging.Votes: 0GitHub stars: 5
- LoggingR logging package for Python-style logging. Use for logging with handlers and formatters.Votes: 0GitHub stars: 5
- R MlR machine learning packages. Use for classification, regression, clustering, deep learning, gradient boosting (xgboost, lightgbm), random forests, neural networks, and time series forecasting.Votes: 0GitHub stars: 5
- AnomalyDetectionR AnomalyDetection package from Twitter. Use for detecting anomalies in time series data.Votes: 0GitHub stars: 5