We recommend the finest software for performing statistical analysis. Open source goodness at its best.
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We recommend the finest software for performing statistical analysis. Open source goodness at its best.
Read moreThis roundup picks the finest software which lets you access R from within a Python program.
Read moreThis roundup picks the finest software which lets you access Python from R.
Read morebasilisk provides a standardized mechanism for handling Python dependencies within Bioconductor packages.
Read morepyRserve is a Python client for Rserve (network layer to remote R server).
Read morePypeR provides a lightweight interface to use R in Python by pipe.
Read moreThe reticulate package provides a comprehensive set of tools for interoperability between Python and R.
Read morerpy2 is an interface to R running embedded in a Python process.
Read moreTo provide an insight into the quality of software that is available, we have compiled a list of 3 best R static site generators.
Read moreggplot2 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.
Read moreThe goal of the blogdown package is to provide a powerful and customizable website output format for R Markdown.
Read morebookdown is an R package for authoring books and technical documents with R Markdown.
Read moreThe rmarkdown package helps you create dynamic analysis documents that combine code, rendered output (such as figures), and prose.
Read moreBioconductor is a software project which provides tools for the analysis and comprehension of high-throughput genomic data.
Read moretidytext is text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
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