{"product_id":"using-r-and-rstudio-for-data-management-statistical-analysis-and-graphics-9781482237368","title":"Using R and RStudio for Data Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eImprove Your Analytical Skills\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003eIncorporating the latest R packages as well as new case studies and applications, \u003cstrong\u003eUsing R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition\u003c\/strong\u003e covers the aspects of R most often used by statistical analysts. New users of R will find the bookâs simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information. \u003c\/p\u003e\u003cp\u003e\u003cem\u003eNew to the Second Edition\u003c\/em\u003e\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eThe use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows\u003c\/li\u003e \u003cli\u003eNew chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, scraping data from the web, mining text files, and generating dynamic graphics\u003c\/li\u003e \u003cli\u003eNew chapter on special topics that describes key features, such as processing by group, and explores importan\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"The second edition of the book preserves the many good points of the first, and makes some improvements to the structure, e.g., on the graphical compendium. It also contains added material on more recent possibilities…is a good buy, if the goal is to have a reference book which allows to quickly find a way of accomplishing a task at hand in R, be it with or without RStudio.\"\u003cbr\u003e— Ulrike Grömping, Beuth University of Applied Sciences Berlin, \u003ci\u003eJournal of Statistical Software\u003c\/i\u003e, November 2015\u003c\/p\u003e\n\u003cp\u003e\"… the book is easy to use. I have had it on my desk for the past few weeks and it has become invaluable. For those, like me, who find themselves regularly switching between R, MATLAB, and Python—or similar packages—it can save a lot of time.\"\u003cbr\u003e—\u003ci\u003eSignificance Magazine\u003c\/i\u003e, February 2016 \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePraise for the First Edition:\u003c\/strong\u003eThis book is an excellent reference resource. Used this way, it can be helpful for years to come for both experienced and novice users. The organization of the material makes it easy to find the relevant piece of information either by topic (from the table of contents) or using one of the indexes. The task entries are self-contained. Users with experience in technical computing may use it as a quick starter in R, as well.\u003cbr\u003e—Georgi N. Boshnakov, \u003cem\u003eJournal of Applied Statistics\u003c\/em\u003e, June 2012\u003c\/p\u003e\n\u003cp\u003eThis book provides a concise reference and annotated examples for R … . It is needed because R does not come with a coordinated manual … It is much easier to find information in Horton and Kleinman’s book because of their more detailed indices and table of contents. … Horton and Kleinman have succeeded very well in their goal of providing a concise reference manual and annotated examples. If you know the statistics (or can look them up) and have some experience using R, it is an extremely useful reference, and it has become my most consulted R book. … it would be an excellent reference for those wanting look up the syntax\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eData Input and Output. Data Management. Statistical and Mathematical Functions. Programming and Operating System Interface. Common Statistical Procedures. Linear Regression and ANOVA. Regression Generalizations and Modeling. A Graphical Compendium. Graphical Options and Configuration. Simulation. Special Topics. Case Studies. Appendices.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":51019933024599,"sku":"9781482237368","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781482237368.jpg?v=1750781785","url":"https:\/\/bookcurl.com\/products\/using-r-and-rstudio-for-data-management-statistical-analysis-and-graphics-9781482237368","provider":"Book Curl","version":"1.0","type":"link"}