Course Number: RPROG-106

Duration: 4 days (26 hours)

Format: Live, hands-on

Advanced R Training Overview

Accelebrate's Advanced R course teaches students more sophisticated R skills, including using advanced regular expressions, machine learning, random effects modeling, Bayesian Inference, advanced R time series, and much more.

Important Note: We have listed more topics here than could be covered in 4 days and we would tailor the selection of topics covered to your specific needs. Please contact us for a quote and to arrange a discussion with one of our senior R instructors about customizing this class to your experience and goals.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Objectives

  • Use advanced regular expressions in R
  • Apply advanced missing data techniques
  • Work with advanced R time series
  • Use data.table for big data
  • Work with linear models
  • Extend R to time to event and survival analyses
  • Work with Bayesian Inference using R

Prerequisites

All students should have attended Accelebrate's Introduction to R Programming course, or have equivalent knowledge.

Outline

Expand All | Collapse All

Advanced Regular Expressions in R
  • Using Perl-Style Regular Expressions in R
Machine Learning Approaches in R
  • Pre-processing Data
  • Feature Selection
  • Supervised Learning:
    • Classification Models
    • Regression Models
  • Unsupervised Learning:
    • Clustering
Advanced Missing Data Techniques
  • Understanding the different types of Missing Data
  • Implications for Analysis
  • The AMELIA package
  • Multiple Imputation
Advanced R Time Series
  • The ts class
  • The zoo package
  • The xts class
  • Lubridate for advanced date handling
  • Autocorrelation Plots
  • Seasonal, trend, and noise plots
  • Financial Charting with R
Using data.table for Big Data
  • Why do we need data.table?
  • Why is it
  • The i and the j arguments in data.table
  • Merging data with data.table
  • Group-by functions with data.table
  • Using data.table in functions
Generalized Linear Models
  • Logistic Regression
  • Poisson Regression
  • Gamma Regression
Extend R to Time to Event or Survival Analyses
  • Visualizing Hazards Across Time
  • Understanding the Log Rank Test
  • Cox Proportional Hazards Modeling
    • Understand Time Varying Covariates
    • Understand Time Dependent Covariates
    • Understanding the Hazard Ratio
    • Implement Frailty Models for Clustered Data
  • Parametric Survival Models
    • Weibull Model
    • Exponential Model
    • Predicting Failure Times
Random Effects Modeling in Linear Regression
  • Random effects introduction
  • Covariance structures
  • Interpreting random effects in models
  • Longitudinal Data
  • Clustered Data
  • Prediction in Random Effects
Extension: Random Effects Modeling in Logistic Regression
  • Random effects introduction
  • Covariance structures
  • Interpreting random effects in models
  • Marginal versus Conditional Models
    • Stratified Logistic regression
    • GEE Models in Logistic Regression
Bayesian Inference Using R
  • Linear model
  • Logistic Model
  • Random Effects / Fixed effects model

Training Materials:

All Advanced R training students receive comprehensive courseware.

Software Requirements:

  • R 3.5 or later with console
  • IDE or text editor of your choice (RStudio recommended)


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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