Health Science Statistics Using R and R Commander book PDF, MOBI, DJV
9781907904318 English 190790431X "Health Science Statistics using R and R Commander "has been written for students, researchers and professionals who need a practical guide to the subject. R is an open source statistical package that is finding favour in a wide variety of statistics applications. Initially R was the preserve of trained statisticians. However, it is increasingly being used with non-specialist audiences, at both postgraduate and senior undergraduate levels. The book focuses on the graphical user interface, R Commander, which helps make R more user-friendly for the uninitiated. However, throughout the book, the R code behind R Commander is provided to allow the reader to program directly if required. The book provides both the practical skills and essential knowledge to enable the reader to perform their own statistical analyses in R and to interpret the results appropriately. The book starts with introductory chapters which demonstrate how to install and run R and R Commander effortlessly. It then builds from introductory statistics chapters (calculating correlations and t tests) through to more complex areas (structural equation modelling, log linear regression etc.). Each chapter begins with a thorough introduction to the statistical technique under discussion. Then, working through real-life data, the reader is shown how to do their own analysis using R Commander, followed by a demonstration of how to do this analysis in R directly. The later chapters also show how to write up findings in the correct format. For specific analyses other free applications are introduced to supplement R (OpenEpi, Gpower and nyx). Throughout, the reader is given essential tips and advice to help get to grips with carrying out the analysis and intelligently reflecting on the output. "Health Science Statistics using R and R Commander "is accompanied by an array of web-based material including: additional online chapters discussion board R code for each chapter multiple choice questions links to other resources including websites, blogs and tutorials "Health Science Statistics using R and R Commander "is a comprehensive introduction to statistics in the health sciences combined with a hands-on practical guide to R (and related free software).", Ris an open source statistical package that is finding favour in a wide varietyof statistics applications. Initially Rwas the preserve of trained statisticians. However, it is increasingly beingused with non-specialist audiences, at both postgraduate and seniorundergraduate levels. Statistics for the Health and Medical Sciences covers the core information that non-specialists need to knowto be able to use and understand R in their research and studies. The book isnot a heavyweight user manual for all aspects of R; instead it has been writtenfor non-specialists to help them get up to speed with the software quickly andeasily. The book describes all of thecommon statistical analyses and shows how to perform these analyses in R. The book features numerous examples and applications from the fields of health andlife science to really help the reader understand R and how to use R for theirspecific data sets. With screen shotsand step-by-step instructions throughout, the book provides an easy andthorough introduction to the subject, especially for non-specialists.
9781907904318 English 190790431X "Health Science Statistics using R and R Commander "has been written for students, researchers and professionals who need a practical guide to the subject. R is an open source statistical package that is finding favour in a wide variety of statistics applications. Initially R was the preserve of trained statisticians. However, it is increasingly being used with non-specialist audiences, at both postgraduate and senior undergraduate levels. The book focuses on the graphical user interface, R Commander, which helps make R more user-friendly for the uninitiated. However, throughout the book, the R code behind R Commander is provided to allow the reader to program directly if required. The book provides both the practical skills and essential knowledge to enable the reader to perform their own statistical analyses in R and to interpret the results appropriately. The book starts with introductory chapters which demonstrate how to install and run R and R Commander effortlessly. It then builds from introductory statistics chapters (calculating correlations and t tests) through to more complex areas (structural equation modelling, log linear regression etc.). Each chapter begins with a thorough introduction to the statistical technique under discussion. Then, working through real-life data, the reader is shown how to do their own analysis using R Commander, followed by a demonstration of how to do this analysis in R directly. The later chapters also show how to write up findings in the correct format. For specific analyses other free applications are introduced to supplement R (OpenEpi, Gpower and nyx). Throughout, the reader is given essential tips and advice to help get to grips with carrying out the analysis and intelligently reflecting on the output. "Health Science Statistics using R and R Commander "is accompanied by an array of web-based material including: additional online chapters discussion board R code for each chapter multiple choice questions links to other resources including websites, blogs and tutorials "Health Science Statistics using R and R Commander "is a comprehensive introduction to statistics in the health sciences combined with a hands-on practical guide to R (and related free software).", Ris an open source statistical package that is finding favour in a wide varietyof statistics applications. Initially Rwas the preserve of trained statisticians. However, it is increasingly beingused with non-specialist audiences, at both postgraduate and seniorundergraduate levels. Statistics for the Health and Medical Sciences covers the core information that non-specialists need to knowto be able to use and understand R in their research and studies. The book isnot a heavyweight user manual for all aspects of R; instead it has been writtenfor non-specialists to help them get up to speed with the software quickly andeasily. The book describes all of thecommon statistical analyses and shows how to perform these analyses in R. The book features numerous examples and applications from the fields of health andlife science to really help the reader understand R and how to use R for theirspecific data sets. With screen shotsand step-by-step instructions throughout, the book provides an easy andthorough introduction to the subject, especially for non-specialists.