In this course you will learn how to program in R and how to use R for
effective data analysis. You will learn how to install and configure software
necessary for a statistical programming environment, discuss generic programming
language concepts as they are implemented in a high-level statistical language.
The course covers practical issues in statistical computing which includes
programming in R, reading data into R, creating informative data graphics,
accessing R packages, creating R packages with documentation, writing R
functions, debugging, and organizing and commenting R code. Topics in statistical
data analysis and optimization will provide working examples.
A student who has completed this course is able to:
- Read formatted data into R
- Subset, remove missing values from, and clean tabular data
- Write custom functions in R to implement new functionality and making use of control structures such as loops and conditionals
- Use the R code debugger to identify problems in R functions
- Make a scatterplot/boxplot/histogram/image plot and modify a plot with custom annotations
- Define a new data class in R and write methods for that class