Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Reproducible Research with R and R Studio (Chapman & Hall/CRC The R Series)

Buy

Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the presentation of results.

With straightforward examples, the book takes you through a reproducible research workflow, showing you how to use:

  • R for dynamic data gathering and automated results presentation
  • knitr for combining statistical analysis and results into one document
  • LaTeX for creating PDF articles and slide shows, and Markdown and HTML for presenting results on the web
  • Cloud storage and versioning services that can store data, code, and presentation files; save previous versions of the files; and make the information widely available
  • Unix-like shell programs for compiling large projects and converting documents from one markup language to another
  • RStudio to tightly integrate reproducible research tools in one place

Whether you’re an advanced user or just getting started with tools such as R and LaTeX, this book saves you time searching for information and helps you successfully carry out computational research. It provides a practical reproducible research workflow that you can use to gather and analyze data as well as dynamically present results in print and on the web. Supplementary files used for the examples and a reproducible research project are available on the author’s website.

(HTML tags aren't allowed.)

A Handbook of Statistical Analyses Using R, Second Edition
A Handbook of Statistical Analyses Using R, Second Edition

A Proven Guide for Easily Using R to Effectively Analyze Data

Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical...

Wireless Ad Hoc Networking: Personal-Area, Local-Area, and the Sensory-Area Networks
Wireless Ad Hoc Networking: Personal-Area, Local-Area, and the Sensory-Area Networks
The rapid progress of mobile/wireless communication and embedded microsensing MEMS technologies leads us toward the dream “Ubiquitous/Pervasive Computing.” Wireless local-area networks (WLANs) have been widely deployed in many cities and have become a requisite tool to many people in their daily lives. Wireless personal-area networks...
WebSphere Application Server 7.0 Administration Guide
WebSphere Application Server 7.0 Administration Guide
As an administrator you need a secure, scalable, resilient application infrastructure to support the developers building and managing J2EE applications and Service Oriented Architecture services. WebSphere application server, a product from IBM, is optimized to ease administration and improve runtime performance. It helps you run applications and...

OGRE 3D 1.7 Beginner's Guide
OGRE 3D 1.7 Beginner's Guide

This book is an example-driven introduction to OGRE 3D. Each example shows some new features and you learn step-by-step to create complex scenes with different effects using OGRE 3D. After several examples discussing one topic there is a do-it-yourself part where you will be challenged to solve problems on your own. If you have ever wanted to...

Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline...
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
©2020 LearnIT (support@pdfchm.net) - Privacy Policy