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R for Pharmacometrics Course
The R for Pharmacometrics course provides a practical introduction to the R environment to enable attendees to rapidly achieve confidence and proficiency in R.
As with all Mango courses, attendees are provided with comprehensive training manuals complete with detailed examples and laminated tip sheets for future reference.
now to discuss your training requirements.
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Course details:
Introduction to the R language and the R community
- Introduction to R
- Comparisons with S-PLUS
- Online resources (such as R-Help and the R community)
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The R Environment
- R Objects
- Search path, Working Directory
- Assigning and masking R objects
- Packages, Task Views
- Using the R help system
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R data objects
- R data types
- Single mode structures: Vectors, Matrices and Arrays
- The relationship between single mode structures
- Multi mode structures: Lists and Data frames
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R Functions
- Importing and Exporting data
- The structure of a function
- Calling R functions
- Basic reporting and statistical functions
- The "apply" family of functions
- Operating on lists: lapply and sapply
- Operating on vectors: sapply
- The "by" statement: tapply and by
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R Graphics
- Graphic devices
- High level graphical functions and arguments
- Low level graphical functions
- Graphic parameters (the par function)
- Lattice Graphics
- Using the grid system
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Typical Pharmacometric/PK Graphics
- Histograms with density lines of demographic variables
- Boxplots (age by gender, or by gender and dose)
- Concentration vs. Time
- The Lattice Package
- Spaghetti plot
- Mean plot by dose or by dose and study
- IPRED/PRED vs. DV plots
- WRES vs. TIME/PRED plots
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Working with NONMEM
- Creating and importing a NONMEM dataset
- Graphing NONMEM results
- Mango’s NONMEM module
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R Simulation
- Creating simulated trial data
- Analyzing simulated trial data
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Bootstrap
- The homemade bootstrap (using sample)
- Using the boot package
- Diagnostic plots
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