A Tiny Handbook Of R
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A Tiny Handbook Of R
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Author : Mike Allerhand
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-25
A Tiny Handbook Of R written by Mike Allerhand and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-25 with Computers categories.
This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.
A Beginner S Guide To R
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Author : Alain Zuur
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-24
A Beginner S Guide To R written by Alain Zuur and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-24 with Computers categories.
Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.
Hands On Machine Learning With R
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Author : Brad Boehmke
language : en
Publisher: CRC Press
Release Date : 2019-11-07
Hands On Machine Learning With R written by Brad Boehmke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Business & Economics categories.
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Book Of R
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Author : Tilman Davies M.
language : en
Publisher:
Release Date : 2016
Book Of R written by Tilman Davies M. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
A Handbook Of Statistical Analyses Using R Second Edition
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Author : Torsten Hothorn
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2009-07-20
A Handbook Of Statistical Analyses Using R Second Edition written by Torsten Hothorn and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-20 with Mathematics categories.
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 background, along with appropriate references. New to the Second Edition New chapters on graphical displays, generalized additive models, and simultaneous inference A new section on generalized linear mixed models that completes the discussion on the analysis of longitudinal data where the response variable does not have a normal distribution New examples and additional exercises in several chapters A new version of the HSAUR package (HSAUR2), which is available from CRAN This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.
The Small Talk Handbook
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Author : Melissa Wadsworth
language : en
Publisher: Simon and Schuster
Release Date : 2012-08-18
The Small Talk Handbook written by Melissa Wadsworth and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-18 with Self-Help categories.
Small talk with anyone! There's a difference between communicating effectively and making small talk. Even if you have no fear of public speaking, you might still stumble over simple conversation when chatting with your superior, unexpectedly running into a friend, or breaking the ice with someone you just met. The Small Talk Handbook lays down the basics to engaging chitchat and teaches you how to enliven your personal and professional communication - no matter where you are. It offers the necessary tools to focus on verbal strengths, minimize weaknesses, and leave the best impression. So whether you're hosting a client dinner, attending a friend's cocktail party, or participating in a fundraising event for your children's school, you will always know just what to say with The Small Talk Handbook.
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Multivariate Methods Of Representing Relations In R For Prioritization Purposes
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Author : Wayne L. Myers
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-24
Multivariate Methods Of Representing Relations In R For Prioritization Purposes written by Wayne L. Myers and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-24 with Mathematics categories.
This monograph is multivariate, multi-perspective and multipurpose. We intend to be innovatively integrative through statistical synthesis. Innovation requires capacity to operate in ways that are not ordinary, which means that conventional computations and generic graphics will not meet the needs of an adaptive approach. Flexible formulation and special schematics are essential elements that must be manageable and economical.
Statistical Geoinformatics For Human Environment Interface
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Author : Wayne L. Myers
language : en
Publisher: CRC Press
Release Date : 2012-07-27
Statistical Geoinformatics For Human Environment Interface written by Wayne L. Myers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-27 with Mathematics categories.
Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of viciniti
A Concise Guide To Statistics
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Author : Hans-Michael Kaltenbach
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-18
A Concise Guide To Statistics written by Hans-Michael Kaltenbach and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-18 with Mathematics categories.
The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations.