Manual básico de uso da linguagem estatística R no RStudio.
Este libro es para ti si quieres aprender a programar en R.Este libro es para ti si quieres analizar datos con R.Usa el mismo material desarrollado como parte del curso en Ciencia de Datos con R de la plataforma Udemy.
Available as PDF+Code Files or on Amazon, Bio/Recursion explores computer science and bioinformatics via examples in the R programming language. Along the way, over 100 color illustrations, 150 code blocks, and dozens of exercises illuminate the text.
The next time you look at an matrimonial advertisement in a news paper or a web age, your brain is going to break down the text and give you social insights and understand the direction the society is headed to. Here is your opportunity to learn and experiment not just on text mining but also web parsing. Get your hands dirty now.
Want to quickly build dashboards to get insight from your data, but don't want to spend on expensive software? Do you need a data-driven app that helps your business? Do you have a general interest in web development, but don't know were to start? Shiny can do this and more for you. This book helps you get started to get your work done.
This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. (Printed copies coming soon!)
Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations.
Understanding the dynamics of biological systems is becoming indispensable knowledge for biologists. The Dynamics of Life will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.
Coding Genetics teaches programming in R by discussing key concepts of the dynamics and statistics of genes. You can use it as an introduction to programming or as a textbook of population genetics.
Information is what we want, but data are what we've got. Data Computing introduces wrangling and visualization, the techniques for turning data into information. Showing how to condense and combine data from multiple sources to present them in a way that informs discovery and decision making, Data Computing is based on new components of R that let even beginners exploit the power of professional-level tools.
This book will help you master R plots the easy way. We have spent a long time creating R plots with different tools (base, lattice and ggplot2) during different academic and working positions. If you want to create highly customised plots in R, including replicating the styles of XKCD, The Economist or FiveThirtyEight, this is your book.
Want a quick start way of generating those reports you've been asked for about the performance of your FutureLearn course? Or maybe fancy the idea of pulling together a simple dashboard to review course progress? This recipe book should get you started...
The Bioconductor project is a widely used open source and open development platform for software for computational biology. It is a leading platform for doing data science in Genomics. This book covers the core functionality needed to deploy Bioconductor on modern datasets, and will lay the foundation for you to learn and explore parts of the project devoted to specific application domains.
This book includes detailed analyses of cricket performances of top cricket players in the world based on ESPN Cricinfo Statsguru. An R package cricketr (which I authored), now in CRAN, was used for this analysis for Test, ODI and Twenty20 cricket. The book contains details on how to use R package cricketr for analysis of other players