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This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To alleviate that challenge, Professor Gerbing developed lessR. LessR extensions remove the need to program. By introducing R through less R, readers learn how to organize data for analysis, read the data into R, and produce output without performing numerous functions and programming exercises first. With lessR, readers can select the necessary procedure and change the relevant variables without programming. The text reviews basic statistical procedures with the lessR enhancements added to the standard R environment. Through the use of lessR, R becomes immediately accessible to the novice user and easier to use for the experienced user. Highlights of the book include: Quick Starts that introduce readers to the concepts and commands reviewed in the chapters. Margin notes that highlight,define,illustrate,and cross-reference the key concepts.When readers encounter a term previously discussed, the margin notes identify the page number to the initial introduction. Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input and an interpretation of the resulting output. Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate how to interpret results. Two data sets provided on the website and analyzed multiple times in the book, provide continuity throughout. End of chapter worked problems help readers test their understanding of the concepts. A website at www.lessRstats.com that features the lessR program, the books data sets referenced in standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, PDF slides for each chapter, solutions to the books worked problems, links to R/lessR videos to help readers better understand the program, and more. An ideal supplement for graduate or advanced undergraduate courses in statistics, research methods, or any course in which R is used, taught in departments of psychology, business, education, and other social and health sciences, this book is also appreciated by researchers interested in using R for their data analysis. Prerequisites include basic statistical knowledge. Knowledge of R is not assumed. R data analysis without programming - WorldCat R data analysis without programming Chapter 1 R for Data Analysis --Chapter 2 Read/Write Data --Chapter 3 Edit Data --Chapter 4 Categorical Variables R Data Analysis Without Programming - ebooksdownloadsxyz r data analysis without programming Download r data analysis without programming or read online here in PDF or EPUB Please click button to get r data analysis lessR R Data Analysis without Programming The purpose is to show that data analysis with the lessR functions within the standard R environment is no more difficult that R Data Analysis without Programming (Paperback) - Routledge R Data Analysis without Programming By David W Gerbing By introducing R through less R readers learn how to organize data for analysis read the data into R R data analysis without programming in SearchWorks R data analysis without programming Responsibility David W Gerbing read the data into R and produce output without performing numerous functions and R Data Analysis without Programming - Books on Google Play R Data Analysis without Programming David W Gerbing December 13 2013 Routledge Buy as Gift Add to Wishlist Adding Added to Wishlist Remove Removing R Data Analysis without Programming - Kobocom Read R Data Analysis without Programming by David W Gerbing with Kobo this book is also appreciated by researchers interested in using R for their data analysis R Data Analysis without Programming 1 David W Gerbing R Data Analysis without Programming "This book is a straightforward resource for students or data analysts who would like to use R without investing valuable : R Data Analysis without Programming : R Data Analysis without Programming (0000415657202): this book is also appreciated by researchers interested in using R for their data analysis R data analysis without programming (eBook 2013 R data analysis without programming Chapter 1 R for Data Analysis --Chapter 2 Read/Write Data --Chapter 3 Edit Data --Chapter 4 Categorical Variables
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