Written Words
Shaping words to thoughts is no simple task. The art of writing requires nurture and support. I find reading the best authors to be quite helpful – they create beautiful collections of words that are well done. As an aside, I’ve recently started to explore text mining statistics – the great writers' works are not only philosophically beautiful, they’re mathematically breath-taking. Time spent writing quietly can pay rich dividends in the most unexpected of places. From writing compliance narratives, to composing an email to a hard-worked student, to sharing my love of data, I enjoy shaping narratives both informative and approachable.
Beginning R4
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). View GitHub Code.
Read MoreData Programming and the Cloud 2nd Ed.
Advanced R 4 Data Programming and the Cloud 2nd Edition is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks. This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboard such as Shiny. View GitHub Code.
Read MoreStatistical Programming and Data Models 1st Ed.
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results. View GitHub Code.
Read MoreData Programming and the Cloud 1st Ed.
Now updated - see above!This book will show you how to manipulate data in modern R structures and includes connecting R to data bases such as SQLite, PostgeSQL, and MongoDB. The book closes with a hands-on section to get R running in the cloud. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. View GitHub Code.
Read MoreReviewed Book
This extraordinarily well-crafted resource provides accessible pseudocode along with rigorous proofs, and of course C++ implementations, of highly relevant and modern assessment of prediction and classification efficacy.
Read MoreReviewed Book
"I really like how quickly Eric gets his readers into k-nearest neighbours and cross-validation." Read MoreWith experience in R, C++, SQL, and community college assessment, accreditation, administration, and student engagement, I enjoy writing, consulting, and reviewing technical texts for current practicioners.