This lesson shows how to use The Carpentries
lesson template. The materials below assume familiarity with tools such as GitHub, Markdown, and Jekyll. For more guidance, please visit the Technological introductions section of The Carpentries Curriculum Development Handbook.
What is an object?
What is a function and how can we pass arguments to functions?
How can values be initially assigned to variables of different data types?
How can a vector be created What are the available data types?
How can subsets be extracted from vectors?
How does R treat missing values?
How can we deal with missing values in R?
What is a data.frame?
How can I read a complete csv file into R?
How can I get basic summary information about my dataset?
How can I change the way R treats strings in my dataset?
Why would I want strings to be treated differently?
How are dates represented in R and how can I change the format?
How can I select specific rows and/or columns from a data frame?
How can I combine multiple commands into a single command?
How can create new columns or remove existing columns from a data frame?
How can I reformat a dataframe to meet my needs?
What are the components of a ggplot?
How do I create scatterplots, boxplots, and barplots?
How can I change the aesthetics (ex. colour, transparency) of my plot?
How can I create multiple plots at once?
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.