{"product_id":"r-for-everyone","title":"R for Everyone","description":"Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organised to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. \u003cbr\u003e \u003cbr\u003e Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualisation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. \u003cbr\u003e \u003cbr\u003e By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. \u003cbr\u003e \u003cbr\u003e Coverage includes \u003cul\u003e  \u003cli\u003eExplore R, RStudio, and R packages \u003c\/li\u003e  \u003cli\u003eUse R for math: variable types, vectors, calling functions, and more \u003c\/li\u003e  \u003cli\u003eExploit data structures, including data.frames, matrices, and lists \u003c\/li\u003e  \u003cli\u003eRead many different types of data \u003c\/li\u003e  \u003cli\u003eCreate attractive, intuitive statistical graphics \u003c\/li\u003e  \u003cli\u003eWrite user-defined functions \u003c\/li\u003e  \u003cli\u003eControl program flow with if, ifelse, and complex checks \u003c\/li\u003e  \u003cli\u003eImprove program efficiency with group manipulations \u003c\/li\u003e  \u003cli\u003eCombine and reshape multiple datasets \u003c\/li\u003e  \u003cli\u003eManipulate strings using R’s facilities and regular expressions \u003c\/li\u003e  \u003cli\u003eCreate normal, binomial, and Poisson probability distributions \u003c\/li\u003e  \u003cli\u003eBuild linear, generalised linear, and nonlinear models \u003c\/li\u003e  \u003cli\u003eProgram basic statistics: mean, standard deviation, and t-tests \u003c\/li\u003e  \u003cli\u003eTrain machine learning models \u003c\/li\u003e  \u003cli\u003eAssess the quality of models and variable selection \u003c\/li\u003e  \u003cli\u003ePrevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods \u003c\/li\u003e  \u003cli\u003eAnalyse univariate and multivariate time series data \u003c\/li\u003e  \u003cli\u003eGroup data via K-means and hierarchical clustering \u003c\/li\u003e  \u003cli\u003ePrepare reports, slideshows, and web pages with knitr \u003c\/li\u003e  \u003cli\u003eDisplay interactive data with RMarkdown and htmlwidgets \u003c\/li\u003e  \u003cli\u003eImplement dashboards with Shiny \u003c\/li\u003e  \u003cli\u003eBuild reusable R packages with devtools and Rcpp \u003c\/li\u003e \u003c\/ul\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":45998723039470,"sku":"9780134546926","price":61.07,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/013454692X.jpg?v=1733540028","url":"https:\/\/bookland.com.au\/products\/r-for-everyone","provider":"Book Land AU","version":"1.0","type":"link"}