Introduction to R Programming

Introduction to R Programming

• start the course
• install R in Microsoft Windows
• install the RStudio IDE
• navigate the R Console within the RStudio IDE
• use the syntax for if-else, operators, loops, and the apply function in R
• create and manipulate basic data types including numeric and string variables
• use the vector and matrix types in R
• install and use packages from the Comprehensive R Archive Network (CRAN)
• create reusable user-defined functions in R
• use the random number generator in R to generate single random numbers, random samples, and other random variates using the norm and binom functions
• use traceback and debug to track down errors in your R code
• use the browser and recover functions to find bugs in R
• read input and format output using the Console in R
• import data from a CSV file in R
• import data from an Excel spreadsheet in R
• handle missing or unknown values in data problems in R
• use the built-in examples to understand R functions
• use the mean function in R
• use the median function in R
• use the mode function in R
• use R to measure the spread and dispersion in a dataset
• use R to measure the median absolute deviation
• use R to measure covariance and correlation between two different datasets
• use the R table function to cross tabulate data
• use R to create pie charts from datasets
• use R to create bar plots from datasets
• use R to create box plots from datasets
• use R to create histograms from datasets
• use R to create line plots from datasets
• use R to create scatter plots from datasets
• use R to export graphics such as charts and plots for use in other software
• understand the basics of the R statistical programming language