A brief intro to the why and what for machine learning
Introduction to using Python in R and the reticulate package
Introduction to dealing with large data in R.
Introduction to SQL basics in R
Introduction to working with character strings and regular expressions inR
Introduction to lubridate for dates and times in R.
Introduction to S3, S4, or reference class with generics and methods.
Introduction to building and documenting R packages.
Help! What's wrong with my code???
Implement exception handling routines in R functions
Introduction to understand how much time is spent on different parts of your R code (i.e. profiling).
Introduction to writing functions in R.
Introduction to vectorization and loop functionals.
Introduction to control the flow of execution of a series of R expressions.
Introduction to data types and objects in R.
An overview of the ggplot2 plotting system in R with qplot().
An overview of the ggplot2 plotting system in R with ggplot().
Introduction to relational data and join functions in the dplyr R package.
Introduction to tidy data and how to convert between wide and long data with the tidyr R package.
Overview of three plotting systems in R
An introduction to data frames in R and the managing them with the dplyr R package.
How to get data in and out of R using relative paths
Introduction to literate statistical programming tools including R Markdown.
How to use citations and incorporate references from a bibliography in R Markdown.
Introduction to reproducible research covering some basic concepts and ideas that are related to reproducible reporting
Version control is a game changer; or how I learned to love git/GitHub
Let's dig into the R programming language and the RStudio integrated developer environment
Overview course information for students enrolled in JHSPH Biostatistics 140.776 in Fall 2021
A new article created using the Distill format.
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