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The RStudio team contributes code to many R packages and projects. R users are doing some of the most innovative and important work in science, education, and industry. https://Gucci-Mane-Droptopwop-Free-Download.peatix.com/. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing.
Inspired by R and its communityManaging Packages
Open an internet browser and go to www.r-project.org. Click the 'download R' link in the middle of the page under 'Getting Started.' Select a CRAN location (a mirror site) and click the corresponding link. Click on the 'Download R for (Mac) OS X' link at the top of the page. Click on the file containing the latest version of R under 'Files.' This directory contains binaries for a base distribution and packages to run on Mac OS X (release 10.6 and above). Mac OS 8.6 to 9.2 (and Mac OS X 10.1) are no longer supported but you can find the last supported release of R for these systems (which is R 1.7.1) here.Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory.
If keeping up with the growing number of packages you use is challenging, consider RStudio Package Manager.
Analyse & Explore
The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying philosophy and common APIs.
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ggplot 2 is an enhanced data visualization package for R. Create stunning multi-layered graphics with ease.
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dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster and has a more consistent API. Download endnote for mac 2011.
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tidyr makes it easy to “tidy” your data. Tidy data is data that’s easy to work with: it’s easy to munge (with dplyr), visualise (with ggplot2 or ggvis) and model (with R’s hundreds of modelling packages).
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purrr enhances R’s functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors.
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A consistent, simple and easy-to-use set of wrappers around the fantastic 'stringi' package.
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Communicate & Interact
Shiny makes it incredibly easy to build interactive web applications with R. Shiny has automatic “reactive” binding between inputs and outputs and extensive pre-built widgets.
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rmarkdown lets you insert R code into a markdown document. R then generates a final document, in a wide variety of formats, that replaces the R code with its results.
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Use flexdashboard to publish groups of related data visualizations as a dashboard.
R Plm IndexProject Site LinkModel & Predict
TensorFlow™ is an open-source software library for Machine Intelligence. The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API.
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The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. Openconnect mac os x download.
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Sparklyr provides bindings to Spark’s distributed machine learning library. Together with sparklyr’s dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R.
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Connect & Integrate
Sparklyr is an R interface to Apache Spark, a fast and general engine for big data processing. This package connects to local and remote Apache Spark clusters, a ‘dplyr’ compatible back-end, and an interface to Spark’s ML algorithms.
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Plumber enables you to convert your existing R code into web APIs by merely adding a couple of special comments.
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The reticulate package provides a comprehensive set of tools for interoperability between Python and R.
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Additional Resources![]()
Ursa Labs is an industry-funded development group specializing in open source data science tools. It is dedicated to advancing the state of the art in high-productivity, high-performance, cross-language software for data scientists.
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How To Update Plms
Databases using R
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December 2020
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