Lesson 2: R Basics for PMx
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
- Recap importing/exporting different file types e.g.,
- Create RsNLME dataset from SDTM:
- Data manipulation with
dplyr
- Data manipulation with
- 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