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721 | No comment | R , R programming , eBook No note
The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R’s quirks and shows how some... [Read more]

An Introduction to Applied Multivariate Analysis with R

2317 | No comment | Multivariate Analysis , R No note

An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Applied Predictive Modeling

1755 | No comment | R , Predictive modeling , Machine learning No note

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems.

Build a Website with Pkgdown

671 | No comment | R , pkgdown No note
This guide describes how to build a website for your R package using pkgdown.


1) Prerequisites to create an R package using devtools

2) Use pkgdown:build_site() to create a bare-bones website

3)... [Read more]

R for Data Science

2208 | No comment | Data mining , R , Best seller , eBook No note

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.