topicmodels provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM)
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topicmodels provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM)
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tokenizers is an R package offers functions with a consistent interface to convert natural language text into tokens.
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textclean is a collection of tools to clean and normalize text. Many of these tools have been taken from the qdap package
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This article recommends free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R. Many of the books are open source.
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We recommend the finest software for performing statistical analysis. Open source goodness at its best.
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This roundup picks the finest software which lets you access R from within a Python program.
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This roundup picks the finest software which lets you access Python from R.
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basilisk provides a standardized mechanism for handling Python dependencies within Bioconductor packages.
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pyRserve is a Python client for Rserve (network layer to remote R server).
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PypeR provides a lightweight interface to use R in Python by pipe.
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The reticulate package provides a comprehensive set of tools for interoperability between Python and R.
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rpy2 is an interface to R running embedded in a Python process.
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To provide an insight into the quality of software that is available, we have compiled a list of 3 best R static site generators.
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ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics, the idea that you can build every graph from the same few components.
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The goal of the blogdown package is to provide a powerful and customizable website output format for R Markdown.
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bookdown is an R package for authoring books and technical documents with R Markdown.
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The rmarkdown package helps you create dynamic analysis documents that combine code, rendered output (such as figures), and prose.
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Bioconductor is a software project which provides tools for the analysis and comprehension of high-throughput genomic data.
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tidytext is text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
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quanteda (Quantitative Analysis of Textual Data) is an R package for managing and analyzing text.
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