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R in a Nutshell Preface

“It’s been over 10 years since I was first introduced to R. Back then, I was a young product development manager at DoubleClick, a company that sold advertising software for managing online ad sales. I was working on inventory R prediction: estimating the number of ad impressions that could be sold for a given search term, web page, or demographic characteristic. I wanted to play with the data myself, but we couldn’t afford a piece of expensive software like SAS or MATLAB. I looked around for a little while, trying to find an open-source statistics package, and stumbled on R. Back then, R was a bit rough around the edges and was missing a lot of the R features it has today (like fancy R graphics and R statistics functions). But R was R intuitive and R easy to use; I was hooked. Since that time, I’ve used R to do many different things: R estimate credit risk, R analyze baseball statistics, and look for Internet R security threats. I’ve learned a lot about R data and matured a lot as a R data analyst.” (RNuts 2012)

”R, too, has R matured a great deal over the past decade. R is used at the world’s largest technology companies (including R Google, R Microsoft, and R Facebook), the largest pharmaceutical companies (including Johnson & Johnson, Merck, and Pfizer), and at hundreds of other companies. It’s used in statistics classes at universities around the world and by R statistics researchers to try new R techniques and R algorithms.“ (RNuts 2012)

SYI LU SENG E MU CHYWE YE. NAN. WEI LA YE. WEI LA YE. SA WA HE.