Lesson 2: R Basics for PMx


Part 1

Part 2


Certara.R School Lesson 2 will demonstrate common R functionality needed to perform pharmacometric workflows. For example, how to import and merge data, create new columns, generate descriptive summary statistics and perform Exploratory Data Analysis (EDA). In addition, best practices for data structure of datasets to work with RsNLME will be discussed.

Webinar Overview

In the webinar we will cover the following topics:

  • PK data overview
    • Recap importing/exporting different file types e.g., csv, xls, txt
    • RsNLME data structure
  • Create RsNLME dataset from SDTM:
    • Data manipulation with dplyr
  • Descriptive Statistics
    • Mean concentration by time
    • Demography summary
  • Introduction to Exploratory Data Analysis (EDA) with ggplot2
    • Concentration time by subject
    • Mean concentration-time by dose group
  • Best practices for writing and documenting R scripts

Webinar Resources