<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/may-new-package-picks/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="https://rviews.rstudio.com/2017/06/23/may-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> <br>
</p>
<p><br>
</p>
<p>Two hundred and twenty-nine new packages were submitted to CRAN in May. Here are my picks for the “Top 40”, organized into five categories: Data, Data Science and Machine Learning, Education, Miscellaneous, Statistics and Utilities.</p>
<div>
<h3>Data</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=angstroms" target="_blank">angstroms</a> v0.0.1: Provides helper functions for working with <a rel="nofollow" href="https://www.myroms.org/" target="_blank">Regional Ocean Modeling System</a> (ROMS) output.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=bikedata" target="_blank">bikedata</a> v0.0.1: Download and aggregate data from public bicycle systems from around the world. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/bikedata/vignettes/bikedata.html" target="_blank">vignette</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=Datasaurus" target="_blank">datasauRus</a><a rel="nofollow" href="https://cran.r-project.org/package=datasauRus" target="_blank">https://CRAN.R-project.org/package=datasauRus</a> v0.1.2: The Datasaurus Dozen is a set of datasets that have the same summary statistics, despite having radically different distributions. As well as being an engaging variant on the Anscombe’s Quartet, the data is generated in a novel way through a simulated annealing process. Look <a rel="nofollow" href="http://dl.acm.org/citation.cfm?doid=3025453.3025912" target="_blank">here</a> for details, and in the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/datasauRus/vignettes/Datasaurus.html" target="_blank">vignette</a> for examples.</p>
<p><a rel="nofollow" href="https://cran.rstudio.com/web/packages/dwapi/" target="_blank">dwapi</a> v0.1.1: Provides a set of wrapper functions for <a rel="nofollow" href="https://data.world/" target="_blank">data.world’s</a> REST API. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/dwapi/vignettes/quickstart.html" target="_blank">quickstart guide</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=HURDAT" target="_blank">HURDAT</a> v0.1.0: Provides datasets from the <a rel="nofollow" href="http://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html" target="_blank">Hurricane Research Division’s Hurricane Re-Analysis Project</a>, giving details for most known hurricanes and tropical storms for the Atlantic and northeastern Pacific ocean (northwestern hemisphere). The <a rel="nofollow" href="https://cran.r-project.org/web/packages/HURDAT/vignettes/hurdat.html" target="_blank">vignette</a> describes the datasets.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=neurohcp" target="_blank">neurohcp</a> v0.6: Implements an interface to the <a rel="nofollow" href="https://db.humanconnectome.org/app/template/Login.vm;jsessionid=B175D91C0ECA959E436B01A7A9AEC60C" target="_blank">Human Connectome Project</a>. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/neurohcp/vignettes/hcp.html" target="_blank">vignette</a> shows how it works.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=osmdata" target="_blank">osmdata</a> v0.0.3: Provides functions to download and import of <a rel="nofollow" href="https://www.openstreetmap.org/#map=5/51.500/-0.100" target="_blank">OpenStreetMap</a> data as ‘sf’ or ‘sp’ objects. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/osmdata/vignettes/osm-sf-translation.html" target="_blank">Introduction</a> and a vignette describing <a rel="nofollow" href="https://cran.rstudio.com/web/packages/osmdata/vignettes/osm-sf-translation.html" target="_blank">Translation to Simple Features</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=parlitools" target="_blank">parlitools</a> v0.0.4: Provides various tools for analyzing UK political data, including creating political cartograms and retrieving data. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/parlitools/vignettes/introduction.html" target="_blank">Introduction</a>, and vignettes on the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/parlitools/vignettes/bes-2015.html" target="_blank">British Election Study</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/parlitools/vignettes/mapping-local-authorities.html" target="_blank">Mapping Local Suthorities</a>, and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/parlitools/vignettes/using-cartograms.html" target="_blank">Using Cartograms</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=rerddap" target="_blank">rerddap</a> v0.4.2: Implements an R client to NOAA’s <a rel="nofollow" href="https://upwell.pfeg.noaa.gov/erddap/information.html" target="_blank">ERDDDAP</a> data servers. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/rerddap/vignettes/Using_rerddap.html" target="_blank">Introduction</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=soilcarbon" target="_blank">soilcarbon</a> v1.0.0: Provides tools for analyzing the <a rel="nofollow" href="https://powellcenter-soilcarbon.github.io/soilcarbon/" target="_blank">Soil Carbon Database</a> created by <a rel="nofollow" href="https://powellcenter.usgs.gov/" target="_blank">Powell Center Working Group</a>. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/soilcarbon/vignettes/launch_shiny.html" target="_blank">vignette</a> launches a local Shiny App.</p>
<div>
<img src="https://i1.wp.com/rviews.rstudio.com/post/2017-06-28-May-New-Package-Picks_files/soilcarbon.png?w=456&ssl=1" data-recalc-dims="1">
</div>
<p><a rel="nofollow" href="https://cran.r-project.org/package=suncalc" target="_blank">suncalc</a> v0.1: Implements an R interface to the ‘suncalc.js’ library, part of the <a rel="nofollow" href="http://suncalc.net/" target="_blank">SunCalc.net’s project</a> for calculating sun position, sunlight phases, moon position and lunar phase for the given location and time.</p>
</div>
<div>
<h3>Data Science and Machine Learning</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=EventStudy" target="_blank">EventStudy</a> v0.3.1: Provides an interface to the <a rel="nofollow" href="https://www.eventstudytools.com/" target="_blank">EventStudy API</a>. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/EventStudy/vignettes/introduction_eventstudy.html" target="_blank">Introduction</a>, and vignettes on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/EventStudy/vignettes/howto_eventstudy.html" target="_blank">Preparing EventStudy</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/EventStudy/vignettes/parameters_eventstudy.html" target="_blank">parameters</a>, and the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/EventStudy/vignettes/addin_eventstudy.html" target="_blank">RStudio Addin</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=kmcudaR" target="_blank">kmcudaR</a> v1.0.0: Provides a fast, drop-in replacement for the classic K-means algorithm based on <a rel="nofollow" href="https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/ding15.pdf" target="_blank">Yingyang K-Means</a>. Look <a rel="nofollow" href="https://cran.rstudio.com/web/packages/kmcudaR/README.html" target="_blank">here</a> for details.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=openEBGM" target="_blank">openEBGM</a> v0.1.0: Provides an implementation of <a rel="nofollow" href="http://www.tandfonline.com/doi/abs/10.1080/00031305.1999.10474456" target="_blank">DuMouchel’s Bayesian data mining method for the market basket problem</a>. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/openEBGM/vignettes/x1_introAndDataPrepVignette.html" target="_blank">Introduction</a>, and vignettes for <a rel="nofollow" href="https://cran.rstudio.com/web/packages/openEBGM/vignettes/x2_rawDataProcessingVignette.html" target="_blank">Processing Raw Data</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/openEBGM/vignettes/x3_hyperParameterVignette.html" target="_blank">Hyperparameter Estimation</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/openEBGM/vignettes/x4_posteriorCalculationVignette.html" target="_blank">Empirical Bayes Metrics</a>, and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/openEBGM/vignettes/x5_openEBGMObjectVignette.html" target="_blank">Objects and Class Functions</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=spacyr" target="_blank">spacyr</a> v0.9.0: Provides a wrapper for the Python <a rel="nofollow" href="https://spacy.io/" target="_blank">spaCy</a> Natural Language Processing library. Look <a rel="nofollow" href="https://cran.rstudio.com/web/packages/spacyr/README.html" target="_blank">here</a> for help with installation and use.</p>
</div>
<div>
<h3>Education</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=learnr" target="_blank">learnr</a> v0.9: Provides functions to create interactive tutorials for learning about R and R packages using R Markdown, using a combination of narrative, figures, videos, exercises, and quizzes. Look <a rel="nofollow" href="https://rstudio.github.io/learnr/" target="_blank">here</a> to get started.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=olsrr" target="_blank">olsrr</a> v0.2.0: Provides tools for teaching and learning ordinary least squares regression. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/olsrr/vignettes/intro.html" target="_blank">Introduction</a> and vignettes on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/olsrr/vignettes/heteroskedasticity.html" target="_blank">Heteroscedascitity</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/olsrr/vignettes/influence_measures.html" target="_blank">Measures of Influence</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/olsrr/vignettes/regression_diagnostics.html" target="_blank">Collinearity Diagnostics</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/olsrr/vignettes/residual_diagnostics.html" target="_blank">Residual Diagnostics</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/olsrr/vignettes/variable_selection.html" target="_blank">Variable Selection Methods</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=rODE" target="_blank">rODE</a> v0.99.4: Contains functions to show students how an ODE solver is made and how classes can be effective for constructing equations that describe natural phenomena. Have a look at the free book <a rel="nofollow" href="http://www.compadre.org/osp/items/detail.cfm?ID=7375" target="_blank">Computer Simulations in Physics</a>. There are several vignettes providing brief examples, including one on the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/rODE/vignettes/Pendulum.html" target="_blank">Pendulum</a> and another on <a rel="nofollow" href="https://cran.rstudio.com/web/packages/rODE/vignettes/Planet.html" target="_blank">Planets</a>.</p>
</div>
<div>
<h3>Miscelaneous</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=atlantistools" target="_blank">atlantistools</a> v0.4.2: Provides access to the <a rel="nofollow" href="http://atlantis.cmar.csiro.au/www/en/atlantis.html" target="_blank">Atlantis</a> framework for end-to-end marine ecosystem modelling. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/atlantistools/vignettes/package-demo.html" target="_blank">package demo</a> and vignettes for <a rel="nofollow" href="https://cran.rstudio.com/web/packages/atlantistools/vignettes/model-preprocess.html" target="_blank">model preprocessing</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/atlantistools/vignettes/model-calibration.pdf" target="_blank">model calibration</a>, <a rel="nofollow" href="https://cran.rstudio.com/web/packages/atlantistools/vignettes/model-calibration-species.pdf" target="_blank">species calibration</a>, and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/atlantistools/vignettes/model-comparison.pdf" target="_blank">model comparison</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=phylodyn" target="_blank">phylodyn</a> v0.9.0: Provides statistical tools for reconstructing population size from genetic sequence data. There are several vignettes including a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/phylodyn/vignettes/Simulation.html" target="_blank">Coalescent simulation of genealogies</a> and a case study using <a rel="nofollow" href="https://cran.rstudio.com/web/packages/phylodyn/vignettes/NewYorkInfluenza.html" target="_blank">New York Influenza</a> data.</p>
</div>
<div>
<h3>Statistics</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=adaptiveGPCA" target="_blank">adaptiveGPCA</a> v0.1: Implements the adaptive gPCA algorithm described in <a rel="nofollow" href="https://arxiv.org/abs/1702.00501" target="_blank">Fukuyama</a>. The <a rel="nofollow" href="https://cran.r-project.org/package=adaptiveGPCA" target="_blank">vignette</a> shows an example using data stored in a phyloseq object.</p>
<div>
<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-06-28-May-New-Package-Picks_files/adaptiveGPCA.png?w=456&ssl=1" data-recalc-dims="1">
</div>
<p><a rel="nofollow" href="https://cran.r-project.org/package=BayesNetBP" target="_blank">BayesNetBP</a> v1.2.1: Implements belief propagation methods for Bayesian Networks based on the <a rel="nofollow" href="http://www.jmlr.org/papers/volume6/cowell05a/cowell05a.pdf" target="_blank">paper by Cowell</a>. There is a function to invoke a Shiny App.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=RPEXE.RPEXT" target="_blank">RPEXE.RPEXT</a> v0.0.1: Implements the likelihood ration test and backward elimination procedure for the reduced piecewise exponential survival analysis technique described in described in Han et al. <a rel="nofollow" href="http://www.tandfonline.com/doi/abs/10.1080/19466315.2012.698945" target="_blank">2012</a> and <a rel="nofollow" href="http://onlinelibrary.wiley.com/doi/10.1002/sim.5915/abstract" target="_blank">2016</a>. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/RPEXE.RPEXT/vignettes/RPEXE.RPEXT.html" target="_blank">vignette</a> provides examples.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=sfdct" target="_blank">sfdct</a> v0.0.3: Provides functions to construct a constrained ‘Delaunay’ triangulation from simple features objects. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/sfdct/vignettes/sfdct.html" target="_blank">vignette</a>.</p>
<div>
<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-06-28-May-New-Package-Picks_files/sfdct.png?w=456&ssl=1" data-recalc-dims="1">
</div>
<p><a rel="nofollow" href="https://cran.r-project.org/package=simglm" target="_blank">simglm</a> v0.5.0: Provides functions to simulate linear and generalized linear models with up to three levels of nesting. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/simglm/vignettes/Intro.html" target="_blank">Introduction</a> and vignettes for simulating <a rel="nofollow" href="https://cran.rstudio.com/web/packages/simglm/vignettes/GeneralizedModels.html" target="_blank">GLMs</a> and <a rel="nofollow" href="https://cran.rstudio.com/web/packages/simglm/vignettes/Missing.html" target="_blank">Missing Data</a> performing <a rel="nofollow" href="https://cran.rstudio.com/web/packages/simglm/vignettes/Power.html" target="_blank">Power Analysis</a> and dealing with <a rel="nofollow" href="https://cran.rstudio.com/web/packages/simglm/vignettes/unbalanced.html" target="_blank">Unbalanced Data</a>.</p>
</div>
<div>
<h3>Utilities</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=checkarg" target="_blank">checkarg</a> v0.1.0: Provides utility functions that allow checking the basic validity of a function argument or any other value, including generating an error and assigning a default in a single line of code.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=CodeDepends" target="_blank">CodeDepends</a> v0.5-3: Provides tools for analyzing R expressions or blocks of code and determining the dependencies between them. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/CodeDepends/vignettes/intro.html" target="_blank">vignette</a> shows how to use them.</p>
<div>
<img src="https://i1.wp.com/rviews.rstudio.com/post/2017-06-28-May-New-Package-Picks_files/CodeDepends.png?w=456&ssl=1" data-recalc-dims="1">
</div>
<p><a rel="nofollow" href="https://cran.r-project.org/package=desctable" target="_blank">desctable</a> v0.1.0: Provides functions to create descriptive and comparative tables that are ready to be saved as csv, or piped to <code>DT::datatable()</code> or <code>pander::pander()</code> to integrate into reports. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/desctable/vignettes/desctable.html" target="_blank">vignette</a> to get you started.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=lifelogr" target="_blank">lifelogr</a> v0.1.0: Provides a framework for combining self-data from multiple sources, including fitbit and Apple Health. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/lifelogr/vignettes/summary.pdf" target="_blank">general introduction</a> as well as an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/lifelogr/vignettes/vignette_viz.pdf" target="_blank">introduction for visualization functions</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=processx" target="_blank">processx</a> v2.0.0: Portable tools to run system processes in the background.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=printr" target="_blank">printr</a> v0.1: Extends knitr generic function <code>knit_print()</code> to automatically print objects using an appropriate format such as Markdown or LaTeX. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/printr/vignettes/printr.html" target="_blank">vignette</a> provides an introduction.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=RHPCBenchmark" target="_blank">RHPCBenchmark</a> v0.1.0: Provides microbenchmarks for determining the run-time performance of aspects of the R programming environment, and packages that are relevant to high-performance computation. There is an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/RHPCBenchmark/vignettes/vignette.html" target="_blank">Introduction</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=rlang" target="_blank">rlang</a> v0.1.1: Provides a toolbox of functions for working with base types, core R features like the condition system, and core ‘Tidyverse’ features like tidy evaluation. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/rlang/vignettes/tidy-evaluation.html" target="_blank">vignette</a> explains R’s capabilities for creating Domain Specific Languages.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=readtext" target="_blank">readtext</a> v0.50: Provides functions for importing and handling text files and formatted text files with additional meta-data, including ‘.csv’, ‘.tab’, ‘.json’, ‘.xml’, ‘.pdf’, ‘.doc’, ‘.docx’, ‘.xls’, ‘.xlsx’ and other file types. There is a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/readtext/vignettes/readtext_vignette.html" target="_blank">vignette</a></p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=tangram" target="_blank">tangram</a> v0.2.6: Provides an extensible formula system to implements a grammar of tables for creating production-quality tables using a three-step process that involves a formula parser, statistical content generation from data, and rendering. There is a vignette introducing the <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tangram/vignettes/example.html" target="_blank">Grammar</a>, a <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tangram/vignettes/single-style.html" target="_blank">Global Style for Rmd</a>, and duplicating <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tangram/vignettes/sas-proc-tabulate.html" target="_blank">SAS PROC Tabulate</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=tatoo" target="_blank">tatoo</a> v1.0.6: Provides functions to combine data.frames and to add metadata that can be used for printing and xlsx export. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/tatoo/vignettes/tatoo.html" target="_blank">vignette</a> shows some examples.</p>
</div>
<div>
<h3>Visualizations</h3>
<p><a rel="nofollow" href="https://cran.r-project.org/package=ContourFunctions" target="_blank">ContourFunctions</a> v0.1.0: Provides functions for making contour plots. A <a rel="nofollow" href="https://cran.rstudio.com/web/packages/ContourFunctions/vignettes/Introduction_to_the_cf_R_package.html" target="_blank">vignette</a> introduces the package.</p>
<div>
<img src="https://i0.wp.com/rviews.rstudio.com/post/2017-06-28-May-New-Package-Picks_files/ContourFunctions.png?w=456&ssl=1" data-recalc-dims="1">
</div>
<p><a rel="nofollow" href="https://cran.r-project.org/package=mbgraphic" target="_blank">mbgraphic</a> v1.0.0: Implements a two-step process for describing univariate and bivariate behavior similar to the <a rel="nofollow" href="https://projecteuclid.org/download/pdf_1/euclid.aos/1043351250" target="_blank">cognostics</a> measures proposed by Paul and John Tuke. First, measures describing variables are computed and then plots are selected. The <a rel="nofollow" href="https://cran.rstudio.com/web/packages/mbgraphic/vignettes/vignette.html" target="_blank">vignette</a> describes the details.</p>
<div>
<img src="https://i2.wp.com/rviews.rstudio.com/post/2017-06-28-May-New-Package-Picks_files/mbgraphic.png?w=456&ssl=1" data-recalc-dims="1">
</div>
<p><a rel="nofollow" href="https://cran.r-project.org/package=polypoly" target="_blank">polypoly</a> v0.0.2: Provides tools for reshaping, plotting, and manipulating matrices of orthogonal polynomials. The vignette provides an <a rel="nofollow" href="https://cran.rstudio.com/web/packages/polypoly/vignettes/overview.html" target="_blank">overview</a>.</p>
<p><a rel="nofollow" href="https://cran.r-project.org/package=RJSplot" target="_blank">RJSplot</a> v2.1: Provides functions to create interactive graphs with ‘R’. It joins the data analysis power of R and the visualization libraries of JavaScript in one package There is a <a rel="nofollow" href="http://rjsplot.net/examples" target="_blank">tutorial</a>.</p>
</div>
<p> </p>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://rviews.rstudio.com/2017/06/23/may-new-package-picks/"> R Views</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/afCnNO9AwwM" height="1"></a></div>