Advanced R Programming

RPROG-106 (4 Days)
4.5 out of 5 (53 reviews)  

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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

Most Accelebrate courses are taught as private, customized training for 3 or more attendees at our clients' sites worldwide. In addition, we offer live, private online classes for teams who may be in multiple locations or wish to save on travel costs. Please visit our client list for organizations for whom we have delivered onsite training. To receive a customized proposal and price quote for private on-site or online training, please contact us.

Advanced R Training Objectives

All students will learn how to:

  • 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

Advanced R Training Outline

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Advanced Regular Expressions in R
  • Using Perl-Style Regular Expressions in R
Machine Learning Approaches in R
  • Pre-processing Data
  • Feature Selection
  • Supervised Learning:
  • Unsupervised Learning:
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
  • Parametric Survival Models
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
Bayesian Inference Using R
  • Linear model
  • Logistic Model
  • Random Effects / Fixed effects model
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Lecture percentage

40%

Lecture/Demo

Lab percentage

60%

Lab

Course Number:

RPROG-106

Duration:

4 Days

Prerequisites:

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

Training Materials:

All Advanced R training students receive comprehensive courseware.

Software Requirements:

  • R 3.0 or later with console
  • IDE or text editor of your choice (RStudio recommended)
  • Related lab files that Accelebrate provides

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us Train For Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

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