"FOR INSTRUCTORS WHO ARE NEW TO R Please allow me to begin with a brief personal note that is pertinent to instructors who have not yet used R: With years of experience conducting research and teaching statistics in SPSS, I was offered an opportunity to teach statistics at a university using R, which I'd only heard of from a few enthusiasts. I was concerned that I'd need to master R prior to the classes beginning, enabling me to prepare lessons and proficiently answer questions. I reasoned that since I already knew ...
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"FOR INSTRUCTORS WHO ARE NEW TO R Please allow me to begin with a brief personal note that is pertinent to instructors who have not yet used R: With years of experience conducting research and teaching statistics in SPSS, I was offered an opportunity to teach statistics at a university using R, which I'd only heard of from a few enthusiasts. I was concerned that I'd need to master R prior to the classes beginning, enabling me to prepare lessons and proficiently answer questions. I reasoned that since I already knew statistics, all I'd need to learn was how to communicate with the R processor and locate the numbers of interest in the output reports. The professor who hired me took me on a 30-minute guided tour of R, demonstrating how to set up R and how to load and process data by entering lines of R code. It all made sense. Over the next few days, I read the relevant chapters and drafted reference notes consisting of the lines of R code necessary to run each statistical test, enabling me to copy and paste lines of R code from that document into R; by editing the file name and variable names, every analysis ran perfectly. I presented the prototype document to this kind professor, who affirmatively referred to it as a nice cheat sheet. I've evolved this document into the R Syntax Guide, the essential copy and paste resource referenced throughout this book that I use to teach all of my statistics courses. While you may opt to step through this book starting from the beginning, since you already understand statistics, you may consider a more rapid approach to learning R:"-- Provided by publishe
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