{"id":27761,"date":"2021-12-09T06:00:00","date_gmt":"2021-12-09T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=27761"},"modified":"2021-12-11T10:07:56","modified_gmt":"2021-12-11T18:07:56","slug":"book-review-advanced-r-solutions","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/","title":{"rendered":"Book Review: Advanced R Solutions"},"content":{"rendered":"\n
\"\"<\/figure><\/div>\n\n\n\n

The book “Advanced R, 2nd Edition” by Hadley Wickham<\/a> (CRC Press) came out in 2019 with much fanfare. Wickham is an internationally recognized R guru, Chief Scientist at RStudio and a member of the R Foundation. He’s also responsible for bringing the Tidyverse suite of R packages to the global community of data scientists. Many of my colleagues have wholly adopted the “Tidyverse way” of coding when approaching data science projects. So when this book came out, it was an instant success. <\/p>\n\n\n\n

Advanced R is available for purchase, or you can access it for free HERE<\/a>. The book assists you in understanding how R works at a fundamental level. It’s designed for R coders who want to deepen their understanding of the language, and coders experienced in other languages who want to understand what makes R different and special. The book engages the reader with the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimizing your code.<\/p>\n\n\n\n

Wickham’s Advanced R book has many intriguing exercises that test your knowledge of deep operations of the R environment. The subject of this book review is a brand new title, “Advanced R Solutions” which is a well-crafted answer book containing all the solutions to each exercise appearing in Advanced R. <\/p>\n\n\n\n

So many parts of the R language are highlighted in the exercises and solutions, including important topics like: names and values, vectors, subsetting, flow of control, functions, plus large topics like functional programming, object-oriented programming, metaprogramming. Another couple of chapters deal with measuring and improving performance. <\/p>\n\n\n\n

Oddly, my favorite part of Advanced R solutions<\/em> is Section I on Fundamentals. This might be because I can use a lot of the techniques discussed to dazzle my Intro to Data Science<\/em> students with fun facts about the R language. For instance, from Q3 from Section 2.3 the diagram below illustrates memory usage when referencing a number of R objects – highly intuitive. <\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

I really like this sort of book because it matches my data science style of constantly toying with coding and doing various data experiments. I typically carry around my R-enabled laptop in my backpack, and when I have a few moments, I’ll whip it out and start coding away. I’ve already started playing around with the many solutions provided in this book to strengthen my own knowledge of all the weird things R can do. It’s been a lot of fun so far. And I’m sure I can convince many of my students to do the same.<\/p>\n\n\n\n

Advance R Solutions<\/em> is a great educational resource that I can recommend to my students. I take the 1st four weeks of my class to quickly get my students up to speed with R. This rapid paced segment only allows for a cursory look at the language and many students ask me for resources to do a deeper dive. “Advanced R, 2nd Edition” and the new Advanced R Solutions<\/em> constitute a dynamic duo for advancing my student’s knowledge in an orderly manner. <\/p>\n\n\n\n

I would say that if you’re a data scientists who uses R, then Advanced R Solutions<\/em> should be part of your professional library. Taking some time to explore the various solutions and expand on them with your own experiments, will only help you hone your skills and increase your knowledge. R is a great programming environment that I enjoy on a daily basis. Having yet another resource like this for deepening my knowledge can only lead to good things. <\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Contributed by Daniel D. Gutierrez, Editor-in-Chief and Resident Data Scientist for insideBIGDATA. In addition to being a tech journalist, Daniel also is a consultant in data scientist, author, educator and sits on a number of advisory boards for various start-up companies. <\/em><\/p>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

Join us on Twitter: @InsideBigData1 \u2013 https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Hadley Wickham’s popular “Advanced R” book has many intriguing exercises that test your knowledge of deep operations of the R environment. The subject of this book review is a brand new title, “Advanced R Solutions” which is a well-crafted answer book containing all the solutions to each exercise appearing in Advanced R. So many parts of the R language are highlighted in the exercises and solutions, including important topics like: names and values, vectors, subsetting, flow of control, functions, plus large topics like functional programming, object-oriented programming, metaprogramming. Another couple of chapters deal with measuring and improving performance. <\/p>\n","protected":false},"author":37,"featured_media":27762,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[92,182,87,180,56,1],"tags":[133,95],"acf":[],"yoast_head":"\nBook Review: Advanced R Solutions - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Book Review: Advanced R Solutions - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Hadley Wickham's popular "Advanced R" book has many intriguing exercises that test your knowledge of deep operations of the R environment. The subject of this book review is a brand new title, "Advanced R Solutions" which is a well-crafted answer book containing all the solutions to each exercise appearing in Advanced R. So many parts of the R language are highlighted in the exercises and solutions, including important topics like: names and values, vectors, subsetting, flow of control, functions, plus large topics like functional programming, object-oriented programming, metaprogramming. Another couple of chapters deal with measuring and improving performance.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2021-12-09T14:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-12-11T18:07:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/11\/Advanced-R-Solutions-book-cover.png\" \/>\n\t<meta property=\"og:image:width\" content=\"200\" \/>\n\t<meta property=\"og:image:height\" content=\"310\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/\",\"url\":\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/\",\"name\":\"Book Review: Advanced R Solutions - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2021-12-09T14:00:00+00:00\",\"dateModified\":\"2021-12-11T18:07:56+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Book Review: Advanced R Solutions\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\",\"name\":\"Daniel Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"caption\":\"Daniel Gutierrez\"},\"description\":\"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.\",\"sameAs\":[\"http:\/\/www.insidebigdata.com\",\"https:\/\/twitter.com\/@AMULETAnalytics\"],\"url\":\"https:\/\/insidebigdata.com\/author\/dangutierrez\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Book Review: Advanced R Solutions - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/","og_locale":"en_US","og_type":"article","og_title":"Book Review: Advanced R Solutions - insideBIGDATA","og_description":"Hadley Wickham's popular \"Advanced R\" book has many intriguing exercises that test your knowledge of deep operations of the R environment. The subject of this book review is a brand new title, \"Advanced R Solutions\" which is a well-crafted answer book containing all the solutions to each exercise appearing in Advanced R. So many parts of the R language are highlighted in the exercises and solutions, including important topics like: names and values, vectors, subsetting, flow of control, functions, plus large topics like functional programming, object-oriented programming, metaprogramming. Another couple of chapters deal with measuring and improving performance.","og_url":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2021-12-09T14:00:00+00:00","article_modified_time":"2021-12-11T18:07:56+00:00","og_image":[{"width":200,"height":310,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/11\/Advanced-R-Solutions-book-cover.png","type":"image\/png"}],"author":"Daniel Gutierrez","twitter_card":"summary_large_image","twitter_creator":"@AMULETAnalytics","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Daniel Gutierrez","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/","url":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/","name":"Book Review: Advanced R Solutions - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2021-12-09T14:00:00+00:00","dateModified":"2021-12-11T18:07:56+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2021\/12\/09\/book-review-advanced-r-solutions\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Book Review: Advanced R Solutions"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed","name":"Daniel Gutierrez","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g","caption":"Daniel Gutierrez"},"description":"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/11\/Advanced-R-Solutions-book-cover.png","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-7dL","jetpack-related-posts":[{"id":28197,"url":"https:\/\/insidebigdata.com\/2022\/01\/13\/book-review-modern-data-science-with-r-2nd-edition\/","url_meta":{"origin":27761,"position":0},"title":"Book Review: Modern Data Science with R, 2nd Edition","date":"January 13, 2022","format":false,"excerpt":"There's good reason why the word \"modern\" is in the title of this new title from CRC Press: \"Modern Data Science with R, 2nd,\" by 3 professors Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton - the goal of the text is to provide a solid guide for\u2026","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/01\/Modern-Data-Science-fig2.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":11009,"url":"https:\/\/insidebigdata.com\/2014\/08\/25\/hadley-wickham-interviewed-datascience-la-user\/","url_meta":{"origin":27761,"position":1},"title":"Data Science 101: An Interview with Hadley Wickham","date":"August 25, 2014","format":false,"excerpt":"RStudio's Chief Scientist Hadley Wickman was interviewed by DataScience.LA's Eduardo Arino de la Rubia during the useR!2014 conference at UCLA this past July.","rel":"","context":"In "Data Science 101"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":12496,"url":"https:\/\/insidebigdata.com\/2014\/12\/15\/data-science-101-expressing-r\/","url_meta":{"origin":27761,"position":2},"title":"Data Science 101: Expressing Yourself in R","date":"December 15, 2014","format":false,"excerpt":"Brought to you by our friends over at the Stanford Center for Professional Development is this compelling data science education resource: \"Expressing yourself in R\" - by Hadley Wickham, Rice University.","rel":"","context":"In "Data Science"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":15964,"url":"https:\/\/insidebigdata.com\/2016\/09\/09\/book-review-the-book-of-r-by-tilman-davies\/","url_meta":{"origin":27761,"position":3},"title":"Book Review: The Book of R by Tilman Davies","date":"September 9, 2016","format":false,"excerpt":"A fantastic new book just landed on my desk, \"The Book of R: A First Course in Programming and Statistics\" by Tilman M. Davies from No Starch Press. I've been looking for a book like this for some time - to use with the introductory data science and machine learning\u2026","rel":"","context":"In "Book Review"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14354,"url":"https:\/\/insidebigdata.com\/2016\/02\/12\/book-review-r-for-everyone-advanced-analytics-and-graphics\/","url_meta":{"origin":27761,"position":4},"title":"Book Review: R for Everyone – Advanced Analytics and Graphics","date":"February 12, 2016","format":false,"excerpt":"I'm frequently asked about educational resources for those making their entry into the data science and machine learning professions. There are plenty of good advanced books such as theoretical masterpieces. The book \"R for Everyone: Advanced Analytics and Graphics\" authored by Jared P. Lander covers the intermediate ground very well.","rel":"","context":"In "Book Review"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2016\/02\/R_for_Everyone.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":30739,"url":"https:\/\/insidebigdata.com\/2023\/02\/23\/book-review-tree-based-methods-for-statistical-learning-in-r\/","url_meta":{"origin":27761,"position":5},"title":"Book Review: Tree-based Methods for Statistical Learning in R","date":"February 23, 2023","format":false,"excerpt":"Here's a new title that is a \"must have\" for any data scientist who uses the R language. It's a wonderful learning resource for tree-based techniques in statistical learning, one that's become my go-to text when I find the need to do a deep dive into various ML topic areas\u2026","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/10\/Tree-based-Methods-book.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/27761"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=27761"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/27761\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/27762"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=27761"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=27761"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=27761"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}