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Claude Skills by LeoLin990405
github.com/LeoLin990405307 skills2 installs264 views
- IgraphR igraph package for network analysis. Use for graph creation, analysis, centrality, community detection, and visualization.Votes: 0GitHub stars: 5
- NetworkR network package for network data. Use for creating and manipulating network objects.Votes: 0GitHub stars: 5
- SnaR sna package for social network analysis. Use for network statistics and visualization with statnet.Votes: 0GitHub stars: 5
- StatnetR statnet suite for network analysis. Use for statistical modeling of network data including ERGM.Votes: 0GitHub stars: 5
- TidygraphR tidygraph package for tidy graph manipulation. Use for dplyr-style operations on network data.Votes: 0GitHub stars: 5
- R Network DynamicR dynamic/temporal networks with ndtv, networkDynamic, tsna. Use for time-varying networks and network evolution.Votes: 0GitHub stars: 5
- NdtvR ndtv package for network animation. Use for visualizing and animating dynamic networks.Votes: 0GitHub stars: 5
- NetworkDynamicR networkDynamic package for temporal networks. Use for creating and manipulating dynamic/temporal networks.Votes: 0GitHub stars: 5
- TsnaR tsna package for temporal network analysis. Use for analyzing temporal paths and metrics in dynamic networks.Votes: 0GitHub stars: 5
- R Network VizR network visualization with ggraph, visNetwork. Use for graph layouts and interactive networks.Votes: 0GitHub stars: 5
- GgraphR ggraph package for network visualization. Use for grammar of graphics style network plots.Votes: 0GitHub stars: 5
- R NlpR natural language processing packages. Use for text mining, sentiment analysis, topic modeling, tokenization, and text vectorization.Votes: 0GitHub stars: 5
- R Nlp SentimentR sentiment analysis with tidytext, syuzhet, sentimentr. Use for sentiment scoring and emotion detection.Votes: 0GitHub stars: 5
- SentimentrR sentimentr package for sentence-level sentiment. Use for polarity-based sentiment analysis with valence shifters.Votes: 0GitHub stars: 5
- SyuzhetR syuzhet package for sentiment analysis. Use for extracting sentiment and emotion from text.Votes: 0GitHub stars: 5
- R Nlp TextR text mining with tidytext, tm, quanteda. Use for tokenization, TF-IDF, document-term matrices.Votes: 0GitHub stars: 5
- HunspellR hunspell package for spell checking. Use for spell checking and morphological analysis.Votes: 0GitHub stars: 5
- QuantedaR quanteda package for text analysis. Use for corpus management, tokenization, and document-feature matrices.Votes: 0GitHub stars: 5
- StringdistR stringdist package for string distance. Use for approximate string matching and distance metrics.Votes: 0GitHub stars: 5
- Text2vecR text2vec package for text vectorization. Use for word embeddings, GloVe, and efficient text processing.Votes: 0GitHub stars: 5
- TidytextR tidytext package for text mining. Use for tokenization, sentiment analysis, TF-IDF, and tidy text analysis.Votes: 0GitHub stars: 5
- TmR tm package for text mining. Use for classic text mining infrastructure and preprocessing.Votes: 0GitHub stars: 5
- TokenizersR tokenizers package for text tokenization. Use for fast, consistent tokenization of text.Votes: 0GitHub stars: 5
- LDAvisR LDAvis package for topic model visualization. Use for interactive visualization of LDA topic models.Votes: 0GitHub stars: 5
- R Nlp TopicR topic modeling with topicmodels, LDAvis, stm. Use for LDA, CTM, and topic visualization.Votes: 0GitHub stars: 5
- StmR stm package for structural topic models. Use for topic modeling with document-level covariates.Votes: 0GitHub stars: 5
- TopicmodelsR topicmodels package for topic modeling. Use for LDA and CTM topic models on document-term matrices.Votes: 0GitHub stars: 5
- R ParallelR parallel computing and high performance packages. Use for multi-core processing, distributed computing, Spark integration, and C++ acceleration with Rcpp.Votes: 0GitHub stars: 5
- RcppParallelR RcppParallel package for parallel C++. Use for multi-threaded C++ code with Intel TBB.Votes: 0GitHub stars: 5
- R Parallel CppR high-performance with Rcpp, RcppParallel, RcppArmadillo. Use for C++ integration and optimization.Votes: 0GitHub stars: 5
- R Parallel DistributedR distributed computing with sparklyr, future.batchtools. Use for cluster and cloud computing.Votes: 0GitHub stars: 5
- SparklyrR sparklyr package for Apache Spark. Use for distributed data processing with dplyr interface.Votes: 0GitHub stars: 5
- R Parallel LocalR local parallel computing with parallel, future, furrr. Use for multi-core processing.Votes: 0GitHub stars: 5
- DoParallelR doParallel package for parallel foreach backend. Use for registering parallel backends for foreach loops.Votes: 0GitHub stars: 5
- ForeachR foreach package for parallel loops. Use for parallel iteration with various backends.Votes: 0GitHub stars: 5
- FurrrR furrr package for parallel purrr. Use for future-powered map functions.Votes: 0GitHub stars: 5
- FutureR future package for parallel computing. Use for unified async and parallel evaluation.Votes: 0GitHub stars: 5
- ParallelR parallel package for parallel computing. Use for multicore and cluster-based parallel processing.Votes: 0GitHub stars: 5
- R ResourcesR learning resources. Use for finding books, courses, tutorials, cheat sheets, podcasts, and community resources.Votes: 0GitHub stars: 5
- R Resources BooksR learning books and references. Use for finding R programming books and documentation.Votes: 0GitHub stars: 5
- R Resources CommunityR community resources and help. Use for finding R community forums and support.Votes: 0GitHub stars: 5
- R Resources CoursesR learning courses and tutorials. Use for finding R programming courses.Votes: 0GitHub stars: 5
- R SpatialR spatial analysis packages. Use for geographic data, maps, GIS operations, and spatial statistics.Votes: 0GitHub stars: 5
- SpR sp package for spatial data. Use for spatial data classes and methods (legacy, see sf for modern approach).Votes: 0GitHub stars: 5
- SpatstatR spatstat package for spatial point patterns. Use for analyzing and modeling spatial point pattern data.Votes: 0GitHub stars: 5
- R Spatial MappingR mapping with tmap, leaflet, mapview. Use for static and interactive maps.Votes: 0GitHub stars: 5
- CartographyR cartography package for thematic mapping. Use for creating publication-quality thematic maps.Votes: 0GitHub stars: 5
- GgmapR ggmap package for maps with ggplot2. Use for Google Maps and Stamen tiles with ggplot2.Votes: 0GitHub stars: 5
- MapsfR mapsf package for thematic mapping. Use for creating thematic maps with sf objects.Votes: 0GitHub stars: 5
- MapviewR mapview package for quick interactive maps. Use for rapid spatial data exploration.Votes: 0GitHub stars: 5