R for data science cookbook : over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /
R for data science /
R data analysis projects : build end to end analytics systems to get deeper insights from your data /
R programming fundamentals : deal with data using various modeling techniques /
R data mining : implement data mining techniques through practical use cases and real-world datasets /
Mastering predictive analytics with R : machine learning techniques for advanced models /
Mastering R for quantitative finance : use R to optimize your trading strategy and build up your own risk management system /
A Primer in Biological Data Analysis and Visualization Using R
A Primer in Biological Data Analysis and Visualization Using R.
R Programming By Example : Practical, hands-on projects to help you get started with R.
R Graph essentials : use R's powerful graphing capabilities to design and create professional-level graphics /
Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale.
A primer in biological data analysis and visualization using R /
Modern R programming cookbook : recipes to simplify your statistical applications /
RStudio for R statistical computing cookbook : over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature /
Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots /
Learning Predictive Analytics with R.
Empezando a usaR una guia paso a paso.
Practical data science with Python : learn tools and techniques from hands-on examples to extract insights from data /
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R /
Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems /
Shin kango, rihabiri, fukushi no tame no Excel to R o tsukatta tōkeigaku /
Seimei kagaku, seibutsu kōgaku no tame no machigai kara manabu jissen tōkei kaiseki : R, Python ni yoru dēta shori kotohajime /
Ecological models and data in R /
Learning Quantitative Finance with R.
A step-by-step guide to exploratory factor analysis with R and Rstudio /