Open AccessBook
R in Action: Data Analysis and Graphics with R
TLDR
R in Action, Second Edition is a language tutorial focused on practical problems that follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients.Abstract:
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task It runs on all important platforms and provides thousands of useful specialized modules and utilities This makes R a great way to get meaningful information from mountains of raw data R in Action, Second Edition is a language tutorial focused on practical problems Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients Purchase of the print book comes with an offer of a free PDF eBook from Manning Also available is all code from the bookread more
Citations
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Journal ArticleDOI
Food waste from Danish households: Generation and composition
TL;DR: Most Danish households could avoid or at least reduce how much they generate food waste, and avoidable and unavoidable food waste was more likely to be found in houses containing more than one person than in households with only one occupant.
Journal ArticleDOI
The Authenticity of Heritage Sites, Tourists’ Quest for Existential Authenticity, and Destination Loyalty:
TL;DR: In this article, the authors empirically explore existential authenticity from the perspectives of visitors, given that existentialism invites people to examine the authenticity of their personal lives, and the aim of their study was to explore existential realism from the perspective of visitors.
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Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms
TL;DR: The research shows that the recursive strategy is a better solution to multi-step ahead forecasting than the direct strategy with respect to accuracy, prediction stability, and modeling process.
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Heterogeneous Data and Big Data Analytics
TL;DR: The benefits of the confluences among Big Data analytics, deep learning, high performance computing (HPC), and heterogeneous computing are presented and challenges of dealing with heterogeneous data and Big data analytics are discussed.
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Improving malicious URLs detection via feature engineering: Linear and nonlinear space transformation methods
TL;DR: The results showed that the proposed methods significantly improved the efficiency and performance of certain classifiers, such as k-Nearest Neighbor, Support Vector Machine, and neural networks.
References
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Book
ggplot2: Elegant Graphics for Data Analysis
TL;DR: This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.
Book
Mixed Effects Models and Extensions in Ecology with R
TL;DR: In this paper, the authors apply additive mixed modelling on phyoplankton time series data and show that the additive model can be used to estimate the age distribution of small cetaceans.
Journal ArticleDOI
mice: Multivariate Imputation by Chained Equations in R
TL;DR: Mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs.
Journal ArticleDOI
Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box
TL;DR: The mi package in R has features that allow the user to get inside the imputation process and evaluate the reasonableness of the resulting models and imputations, and uses Bayesian models and weakly informative prior distributions to construct more stable estimates of imputation models.
Book
The Grammar of Graphics
TL;DR: The Grammar of Graphics (GOG) as mentioned in this paper denotes a system with seven orthogonal components, i.e., there are seven graphical component sets whose elements are aspects of the general system and every combination of aspects in the product of all these sets is meaningful.