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. Documentation reproduced from package msmtools, version 1.3, License: GPL-3 Community examples. Looks like there are no examples yet. Post a new example: Submit your example. API documentation R package. Created by DataCamp.com. Download Visual Studio Community, Professional, and Enterprise. Try Visual Studio IDE, Code or Mac for free today. Survplot is an add-on package for the R statistical environment. This package provides functions to complement the 'survival' package, which is included in the standard R distribution. The current version is 0.0.7 (2012-04-04). Download survplot0.0.7.tar.gz (source package). Download survplot0.0.7.zip (Windows package). If the object contains a cumulative hazard curve, then fun='cumhaz' will plot that curve, otherwise it will plot -log(S) as an approximation. Theoretically, S = log(-H) where S is the survival and H is the cumulative hazard. The same relationship holds for estimates of S and H only in special cases, but the approximation is often close. When the survfit function creates a multi-state.
Inspired by R and its community
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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. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing.
Managing Packages
Mozilla firefox 27 download for mac. 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. https://betstree171.weebly.com/blog/halo-3-download-mac-full-version. Create stunning multi-layered graphics with ease.
dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster and has a more consistent API.
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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.
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Model & 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.
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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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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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Databases using R
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