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READER Á DOC R for Everyone Advanced Analytics and Graphics

PDF R for Everyone Advanced Analytics and Graphics

READER Á DOC R for Everyone Advanced Analytics and Graphics ´ ❮Reading❯ ➸ R for Everyone Advanced Analytics and Graphics Author Jared Lander – Feedmarkformulate.co.uk Statistical Computation for Programmers Scientists uants Excel Users and Other ProfessionalsUsing the open source R language youStatistical Computation for Programmers Scientists uants Excel Users and Other ProfessionalsUsing the open source R language you can build powerful statistical models to answer many of your most challenging uestions R has traditionally been difficult for non statisticians to learn and most R books assume far too much knowledge to be of help R for Everyone Second Edition is the solutionDrawing 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 Organized 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 tasksLander’s self contained chapters start with the absolute basics offering extensive hands on practice and sample code You’ll download and install R; n

MOBI Á R for Everyone Advanced Analytics and Graphics ↠ Jared Lander

Avigate and use the R environment; master basic program control data import manipulation and visualization; 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 techniues After all this you’ll make your code reproducible with LaTeX RMarkdown and ShinyBy 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 mostCoverage includes Explore R RStudio and R packages Use R for math variable types vectors calling functions andExploit data structures including dataframes matrices and lists Read many different types of data Create attractive intuitive statistical graphics Write user defined functions Control program flow with if ifelse and complex checks Improve program efficiency with group

Jared Lander ↠ R for Everyone Advanced Analytics and Graphics PDF

R for Everyone Advanced Analytics and GraphicsManipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal binomial and Poisson probability distributions Build linear generalized linear and nonlinear models Program basic statistics mean standard deviation and t tests Train machine learning models Assess the uality of models and variable selection Prevent overfitting and perform variable selection using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K means and hierarchical clustering Prepare reports slideshows and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informitcomregister for convenient access to downloads updates and corrections as they become available