<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/nov-2017-new-package-picks/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="https://rviews.rstudio.com/2017/12/22/nov-2017-new-package-picks/"> R Views</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Two hundred thirty-seven new packages made it to CRAN in November. Here are my picks for the “Top 40” organized into the categories: Computational Methods, Data, Data Science, Science, Social Science, Utilities and Visualizations.</p>
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<h3>Computational Methods</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=CVXR" target="_blank">CVXR</a> v0.94-4: Implements an object-oriented modeling language for disciplined convex programming (DCP) which allows users to formulate and solve convex optimization problems. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/CVXR/vignettes/cvxr_intro.html" target="_blank">vignette</a> introduces the package. Look <a rel="nofollow" href="https://cvxr.rbind.io/" target="_blank">here</a> for examples and theory.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=PreciseSums" target="_blank">PreciseSums</a> v0.1: Implements <a rel="nofollow" href="doi:10.1145/363707.363723" target="_blank">the Kahan (1965) sum</a>, <a rel="nofollow" href="doi:10.1002/zamm.19740540106" target="_blank">Neumaier (1974) sum</a>, <a rel="nofollow" href="doi:10.1137/070679946" target="_blank">pairwise-sum</a> adapted from ‘NumPy’ and <a rel="nofollow" href="http://www.cs.berkeley.edu/~jrs/papers/robustr.pdf" target="_blank">arbitrary precision sum</a>.</p>
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<h3>Data</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=ballr" target="_blank">ballr</a> v0.1.1: Provides functions for accessing data/tables from <a rel="nofollow" href="http://www.basketball-reference.com/" target="_blank">basketball-reference.com</a>. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ballr/vignettes/use-ballr.html" target="_blank">vignette</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=biofiles" target="_blank">biofiles</a> v1.0.0: Provides functions to parse <a rel="nofollow" href="https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html" target="_blank">GenBank/GenPept</a> records into native R objects, access and manipulate the sequence and annotation information. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/biofiles/vignettes/IntroBiofiles.pdf" target="_blank">Introduction</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=ipumsr" target="_blank">ipumsr</a> v0.1.1: Enables users to import census, survey and geographic data from <a rel="nofollow" href="https://ipums.org/" target="_blank">IPUMS</a>. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ipumsr/vignettes/ipums.html" target="_blank">Introduction</a> and vignettes on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ipumsr/vignettes/ipums-cps.html" target="_blank">CPS Extraction</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ipumsr/vignettes/ipums-geography.html" target="_blank">Geographic Data</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ipumsr/vignettes/ipums-nhgis.html" target="_blank">NHDIS Datasets</a> and on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ipumsr/vignettes/value-labels.html" target="_blank">Using Value Labels</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=proPubBills" target="_blank">proPubBills</a> v0.1: Implements an API wrapper around the <a rel="nofollow" href="https://projects.propublica.org/api-docs/congress-api/%3E%20for%20U.S.%20Congressional%20Bills" target="_blank">ProPublica API</a>. The brief <a rel="nofollow" href="https://cran.rstudio.com/web/packages/proPubBills/vignettes/proPublicaBillsAPIWrapper.html" target="_blank">vignette</a> shows how to use it.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=Rpolyhedra" target="_blank">Rpolyhedra</a> v0.1.0: Contains a 142 polyhedra database scraped from <a rel="nofollow" href="http://paulbourke.net/dataformats/phd/" target="_blank">PHD files</a> as R6 objects, and provides <code>rgl</code> visualizing capabilities. The PHD format was created to describe the geometric <a rel="nofollow" href="http://www.netlib.org/polyhedra/" target="_blank">polyhedra definitions derived mathematically</a> by Andrew Hume and by the Kaleido program of Zvi Har’El. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/Rpolyhedra/vignettes/Rpolyhedra.html" target="_blank">vignette</a> will get you started.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=voteogram" target="_blank">voteogram</a> v0.2.0: Provides tools to retrieve United States Congressional voting data from <a rel="nofollow" href="https://projects.propublica.org/represent/" target="_blank">ProPublica</a>, prepare the data for plotting with <code>ggplot2</code> and create vote cartograms and themes. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/voteogram/vignettes/intro_to_voteogram.html" target="_blank">vignette</a> provides examples.</p>
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<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/voteogram.png?w=456&ssl=1" data-recalc-dims="1">
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<h3>Data Science</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=imbalance" target="_blank">imbalance</a> v0.1.1: Provides algorithms to treat unbalanced datasets. See the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/imbalance/vignettes/imbalance.pdf" target="_blank">vignette</a> for details.</p>
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<img src="https://i2.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/imbalance.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=intrinsicDimension" target="_blank">intrinsicdimension</a> v1.1.0: Implements a variety of methods for estimating intrinsic dimension of data sets (i.e the manifold or Hausdorff dimension of the support of the distribution that generated the data) as reviewed in <a rel="nofollow" href="doi:10.1109/TPAMI.2014.2343220" target="_blank">Johnsson et al.(2015)</a>. The vignette provides an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/intrinsicDimension/vignettes/intrinsic-dimension-estimation.html" target="_blank">Overview</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=ppclust" target="_blank">ppclust</a> v0.1.0: Implements probabilistic clustering algorithms for partitioning datasets including <a rel="nofollow" href="doi:10.1080/01969727308546047" target="_blank">Fuzzy C-Means (Bezdek, 1974)</a>, <a rel="nofollow" href="doi:10.1109/91.227387" target="_blank">Possibilistic C-Means (Krishnapuram &amp; Keller, 1993)</a>, <a rel="nofollow" href="doi:10.1109/TFUZZ.2004.840099" target="_blank">Possibilistic Fuzzy C-Means (Pal et al, 2005)</a>, <a rel="nofollow" href="doi:10.1016/j.patcog.2005.07.005" target="_blank">Possibilistic Clustering Algorithm (Yang et al, 2006)</a>, <a rel="nofollow" href="doi:10.1007/3-540-31662-0_6" target="_blank">Possibilistic C-Means with Repulsion (Wachs et al, 2006)</a> and the other variants. There are vignettes on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ppclust/vignettes/fcm.html" target="_blank">Fuzzy C-Means</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ppclust/vignettes/pcm.pdf" target="_blank">Probabilistic C-Means</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ppclust/vignettes/pfcm.html" target="_blank">Probabilistic Fuzzy C-Means</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ppclust/vignettes/upfc.html" target="_blank">Unsupervised Probabilistic Fuzzy C-Means</a>.</p>
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<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/ppclust.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=textrank" target="_blank">textrank</a> v0.2.0: Implements the textrank algorithm, an extension of the Pagerank algorithm for text. See the paper <a rel="nofollow" href="http://www.aclweb.org/anthology/W04-3252" target="_blank">Mihalcea &amp; Tarau (2004)</a> and the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/textrank/vignettes/textrank.html" target="_blank">vignette</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=TrajDataMining" target="_blank">TrajDataMining</a> v0.1.4: Contains a set of methods for trajectory data preparation, such as filtering, compressing and clustering, and for trajectory pattern discovery. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/TrajDataMining/vignettes/TrajDataMining.html" target="_blank">vignette</a> provides examples.</p>
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<h3>Science</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=benthos" target="_blank">benthos</a> v1.3-4: Provides preprocessing tools and biodiversity measures for analyzing marine benthic data. See <a rel="nofollow" href="doi:10.1016/j.seares.2015.05.002" target="_blank">Van Loon et al. (2015)</a> for an application and the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/benthos/vignettes/benthos.html" target="_blank">vignette</a> for an introduction to the package.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=nlmixr" target="_blank">nlmixr</a> v0.9.0-1: Provides functions to fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics. See <a rel="nofollow" href="doi:10.1007/s10928-015-9409-1" target="_blank">Almquist et al. (2015)</a>. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/nlmixr/vignettes/running_nlmixr.html" target="_blank">vignette</a> shows how to use the package.</p>
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<img src="https://i2.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/nlmixr.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=PCRedux" target="_blank">PCRedux</a> v0.2.5-1: Provides functions to extract Polymerase Chain Reactions (qPCR) amplification curve data for machine learning purposes. For details see <a rel="nofollow" href="doi:10.1016/j.bdq.2014.08.002" target="_blank">Pabinger et al.(2014)</a> and the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/PCRedux/vignettes/PCRedux.pdf" target="_blank">vignette</a>. <img alt="Clustering via Hausdorff distance" src="https://i2.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/PCRedux.png?w=456&ssl=1" data-recalc-dims="1"></p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=PDN" target="_blank">PDN</a> v0.1.0: Provides tools for building patient level networks for predicting medical outcomes based on the paper by <a rel="nofollow" href="http://circ.ahajournals.org/content/134/Suppl_1/A14957" target="_blank">Cabrera et al. (2016)</a>. See the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/PDN/vignettes/vignette.htmlPDN.png" target="_blank">vignette</a> for an introduction.</p>
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<img src="https://i2.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/PDN.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=Rraven" target="_blank">Rraven</a> v1.0.0: Provides a tool to exchange data between R and <a rel="nofollow" href="http://www.birds.cornell.edu/brp/raven/RavenOverview.html" target="_blank">Raven</a> sound analysis software. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/Rraven/vignettes/Rraven.html" target="_blank">vignette</a> shows how to use the software.</p>
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<img src="https://i1.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/Rraven.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=spew" target="_blank">spew</a> v1.3.0: Provides tools for generating Synthetic Populations and Ecosystems. See <a rel="nofollow" href="arxiv:1701.02383" target="_blank">Gallagher et al. (2017)</a> for details and the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/spew/vignettes/spew-quickstart.html" target="_blank">vignette</a> for a brief tour.</p>
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<h3>Social Science</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=EvolutionaryGames" target="_blank">EvolutionaryGames</a> v0.1.0: Provides a set of tools to illustrate the core concepts of evolutionary game theory, such as evolutionary stability or various evolutionary dynamics, for teaching and academic research. See the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/EvolutionaryGames/vignettes/UsingEvolutionaryGames.html" target="_blank">vignette</a> for details.</p>
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<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/EvolutionaryGames.png?w=456&ssl=1" data-recalc-dims="1">
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<h3>Statistics</h3>
<p>[bang(<a rel="nofollow" href="https://cran.r-project.org/package=bang" target="_blank">https://CRAN.R-project.org/package=bang</a>)] v1.0.0: Provides functions for the Bayesian analysis of some simple common models, without using Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/bang/vignettes/bang-vignette.html" target="_blank">Introduction</a> and vignettes on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/bang/vignettes/bang-anova-vignette.html" target="_blank">Hierarchical 1-way ANOVA</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/bang/vignettes/bang-hef-vignette.html" target="_blank">Conjugate Hierarchical Models</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/bang/vignettes/bang-ppc-vignette.html" target="_blank">Posterior Predictive Checking</a>.</p>
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<img src="https://i2.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/bang.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=beast" target="_blank">beast</a> v1.0: Provides a method for the Bayesian estimation of change-points in the slope of multivariate time series. See <a rel="nofollow" href="arxiv:1709.06111" target="_blank">Papastamoulis et al (2017)</a> for a detailed presentation of the method.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=CorShrink" target="_blank">CorShrink</a> v0.1.1: Offers functions to perform adaptive shrinkage of correlation and covariance matrices using a mixture model prior over the Fisher z-transformation of the correlations. See <a rel="nofollow" href="doi:10.1093/biostatistics/kxw041" target="_blank">Stephens (2016)</a> for details. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/CorShrink/vignettes/corshrink.html" target="_blank">vignette</a> contains examples.</p>
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<img src="https://i1.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/CorShrink.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=dvmisc" target="_blank">dvmisc</a> v1.1.1: Provides faster versions of base R functions (e.g. mean, standard deviation, covariance, weighted mean), mostly written in C++, along with other miscellaneous functions.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=inlabru" target="_blank">inlabru</a> v2.1.2: Facilitates spatial modeling using integrated nested Laplace approximation via the <a rel="nofollow" href="http://www.r-inla.org/" target="_blank">INLA package</a> and also implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes. <a rel="nofollow" href="arxiv:1604.06013" target="_blank">Yuan et al. (2017)</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=outbreaker2" target="_blank">outbreaker2</a> v1.0-0: Allows users to reconstruct disease outbreaks using epidemiological and genetic information. See <a rel="nofollow" href="doi:10.1371/journal.pcbi.1003457" target="_blank">Jombart et al. (2014)</a> for the details. There is a package <a rel="nofollow" href="https://cran.rstudio.com/web/packages/outbreaker2/vignettes/overview.html" target="_blank">Overview</a> as well as an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/outbreaker2/vignettes/introduction.html" target="_blank">Introduction</a> and vignettes on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/outbreaker2/vignettes/customisation.html" target="_blank">Using Custom Priors</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/outbreaker2/vignettes/Rcpp_API.html" target="_blank">The Rcpp API</a>.</p>
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<img src="https://i1.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/outbreaker2.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=probout" target="_blank">probout</a> v1.0: Provides functions to estimate unsupervised outlier probabilities for multivariate numeric data with many observations from a nonparametric outlier statistic. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/probout/vignettes/probout.html" target="_blank">vignette</a>.</p>
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<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/probout.png?w=456&ssl=1" data-recalc-dims="1">
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<p><a rel="nofollow" href="https://cran.r-project.org/package=quokar" target="_blank">quokar</a> v0.1.0: Provides diagnostics for quantile regression models including detecting influential observations, robust distance methods, generalized Cook’s distance and Q-function distance (see <a rel="nofollow" href="arxiv:1509.05099v1" target="_blank">Benites et al. (2015)</a>) and mean posterior probability and Kullback–Leibler divergence methods (see <a rel="nofollow" href="arxiv:1601.07344v1" target="_blank">Santos &amp; Bolfarine (2016)</a>). The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/quokar/vignettes/quokar.html" target="_blank">vignette</a> introduces the package.</p>
<p><img alt="Robust Distance-Residual Plot" src="https://i2.wp.com/rviews.rstudio.com/post/2017-12-17-Nov-Pkgs_files/quokar.png?w=456&ssl=1" data-recalc-dims="1"> </p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=tidyposterior" target="_blank">tidyposterior</a> v0.0.1: This memorably named package implements a Bayesian approach for examining the differences between models and aims to answer the question: “When looking at resampling results, are the differences between models real?” The methods included are similar to those described in <a rel="nofollow" href="http://jmlr.org/papers/v18/16-305.html" target="_blank">Benavoli et al (2017)</a>. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tidyposterior/vignettes/Getting_Started.html" target="_blank">Getting Started Guide</a> and a vignette on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tidyposterior/vignettes/Different_Bayesian_Models.html" target="_blank">Bayesian Models</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=trialr" target="_blank">trialr</a> v0.0.1: Offers a showcase of Bayesian clinical trial designs, implemented in <code>RStan</code> and R including some designs implemented in R for the first time (e.g. <a rel="nofollow" href="https://biostatistics.mdanderson.org/softwaredownload/SingleSoftware.aspx?Software_Id=2" target="_blank">EffTox’ by Thall &amp; Cook (2004)</a>. There are vignettes on the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/trialr/vignettes/BEBOP.html" target="_blank">BEBOP Design</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/trialr/vignettes/EffTox.html" target="_blank">EffTox</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/trialr/vignettes/HierarchicalBayesianResponse.html" target="_blank">Hierarchical Bayesian Models for Binary Responses</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=tvReg" target="_blank">tvReg</a> v0.2.1: Provides functions for fitting simultaneous equations with time varying coefficients, for both independent and correlated equations. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tvReg/vignettes/tvReg-vignette.html" target="_blank">vignette</a> contains examples.</p>
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<h3>Utilities</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=cli" target="_blank">cli</a> v1.0.0: Implements a suite of tools designed to build attractive command line interfaces. Includes tools for drawing rules, boxes, trees, and ‘Unicode’ symbols with ‘ASCII’ alternatives. See <a rel="nofollow" href="https://cran.rstudio.com/web/packages/cli/README.html" target="_blank">README</a> for details.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=float" target="_blank">float</a> v0.1-1: Extends R’s linear algebra facilities to include 32-bit float (single precision) data. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/float/vignettes/float.pdf" target="_blank">vignette</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=mudata2" target="_blank">mudata2</a> v1.0.0: Offers functions and data structures designed to easily organize and visualize spatiotemporal data. There are vignettes for <a rel="nofollow" href="https://cran.rstudio.com/web/packages/mudata2/vignettes/mudata.html" target="_blank">usinng</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/mudata2/vignettes/mudata_create.html" target="_blank">creating</a> mudata2 objects.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=rhub" target="_blank">rhub</a> v1/0.2: Provides an interface to the <a rel="nofollow" href="https://builder.r-hub.io/" target="_blank">R-Hub</a> package build system sponsored by the <a rel="nofollow" href="https://github.com/r-hub" target="_blank">R Consortium</a>. Run <code>R CMD check</code> on <code>Windows</code>, <code>macOS</code>, <code>Solari</code> and various <code>Linux</code> distributions.</p>
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<h3>Visualizations</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=ALEPlot" target="_blank">ALEPlot</a> v1.0: Offers functions to visualizes the main effects of individual predictor variables and their second-order interaction effects in black-box supervised learning models. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ALEPlot/vignettes/AccumulatedLocalEffectPlot.pdf" target="_blank">vignette</a> contains several examples.</p>
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<p><a rel="nofollow" href="https://cran.r-project.org/package=dbplot" target="_blank">dbplot</a> v0.1.1: Leverages <code>dplyr</code> to process the calculations for a plot inside a database. Helper functions abstract the work at three levels: outputs the <code>ggplot</code>, the calculations and the formula needed to calculate bins. See <a rel="nofollow" href="https://cran.rstudio.com/web/packages/dbplot/README.html" target="_blank">README</a> to get started.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=ggalluvial" target="_blank">ggalluvial</a> v0.5.0: Implements <code>ggplot2</code> <code>stat</code> and <code>geom</code> layers for alluvial diagrams, charts that use x-splines (alluvia and flows), sometimes augmented with stacked bars (lodes or strata), to visualize incidence structures derived from several data types. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ggalluvial/vignettes/ggalluvial.html" target="_blank">vignette</a> provides examples.</p>
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<p><a rel="nofollow" href="https://cran.r-project.org/package=shinyaframe" target="_blank">shinyaframe</a> v1.0.1: Enables users to make R data available in Web-based virtual reality experiences for immersive, cross-platform data visualizations. It provides functions to create 3-dimensional data visualizations with <a rel="nofollow" href="https://aframe.io/" target="_blank">Mozilla A-Frame</a>. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/shinyaframe/vignettes/scatterplot3d.html" target="_blank">vignette</a> shows how.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=tactile" target="_blank">tactile</a> v0.1.0: Extends <code>lattice</code>, providing new high-level functions, methods for existing functions, panel functions, and a theme. There are vignettes for <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tactile/vignettes/new-high-level-functions.html" target="_blank">New High-Level Functions</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tactile/vignettes/new-methods.html" target="_blank">New Methods for Lattice</a> and the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tactile/vignettes/tactile-theme.html" target="_blank">tactile Theme</a>.</p>
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