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Workshop: Mini-Course – R Fundamentals
July 11, 2017 @ 9:00 am - 12:00 pm
Instructor: Dr. Duncan Temple Lang
Dates: July 11, 13, 18, 20
Time: 9am – noon
Location: DataLab classroom (Shields Library room 360)
Description:
The aim of this course is to help participants understand the
relatively small but fundamental computational model underlying the R
language. This will help you reason about code before you write
and run it, and to debug it if it doesn’t do what you want. A sound
understanding of this computational model makes programming in R much
easier and more productive. Basically, we want you to understand how
the R interpreter works.
Prerequisites:
This is not an introductory course. Participants are expected to have an
elementary understanding and prior experience using R, be comfortable
with basic R syntax, and to have it pre-installed and running on their laptops.
This course is appropriate for motivated beginners as well as intermediate
to advanced users who want a better understanding of base R. It is open
to UC Davis faculty, graduate students, postdocs, staff, and undergraduates;
DSI affiliates will receive priority registration. Not sure if this course is
appropriate for you? Contact us (datascience@ucdavis.edu).
Learner objectives:
- What is a REPL
- The Global workspace/environment
- Variables and Assignment (=, <- )
- Basic data types – vectors
- Hierarchy of data types and implicit coercion
- Querying an object: class, typeof, length, dim, names, str
- Subsetting rules
- Categorical data – factors
- Aggregate functions – sum, mean, summary, table,
- Vectorized functions
- Apply functions
- How function calls work
- Lists
- Data Frames
- Subsetting in 2-Dimensions
- Scoping Rules
- Writing Functions
- Debugging