Yes. You are allowed to discuss how to do the Homework with your
classmates.
No. But you have to write your own solution.
Final project
Wrap up a R package/R Shiny app
Complete documentation of all your functions.
Apply R package to real data or synthetic data.
Report using R markdown, include how to use the package.
Pass all warning and error checks.
How to make an outstanding R package?
Calling c++
Make nice vignette
A comprehensive package
Host the package on GitHub
Instructions: will be released on Tuesday Oct 3rd.
Can work alone, or work in group with less than 3.
Trouble shooting
You may ask questions during in class.
You may ask questions during office hours
Caleb: Monday 3:00-4:30pm, CTRB 5230
You may ask/answer questions in the canvas discussion section.
If you have a question, other students are likely to have similar
questions, so posting your question in the canvas discussion section
will benefit other students.
The instructor will also frequently check the canvas discussions.
And please email the instructor if you didn’t get response within one
day.
The instructor will not answer questions by email, canvas discussion
is preferred.
Other Policy
Attendance
Attendance is encouraged but not required.
Recorded lecture video
The lecture will be recorded via zoom.
The recorded videos are available upon reasonable request
(sick)
Should only be used to review the lecture by yourself.
Should not be distributed for any other purpose
Any question about administration?
What software do we need?
R is a programming language for statistical computing
R Studio is an integrated development environment (IDE) for R
programming
R Markdown is a markup language for combining R code with text
Python is widely used for data science and machine learning
Anaconda is an integrated development environment (IDE) for Python
programming
Jupyter is a markup language for combining Python code with
text
All of these are free
Installing R
R can be downloaded from the ``Comprehensive R Archive Network”
(CRAN).
R can be installed on Windows, Mac or Linux operating systems.
In this course, the instructors will run R on Mac.
To install R, visit the R website, http://www.r-project.org and follow
the installation directions (see the FAQ section for more details).
R version 4.2 and above are required for this class.
R Console
open R console
RStudio
RStudio is a free and open source integrated development environment
(IDE) designed specifically for R. http://www.rstudio.com
RESTRICTED DATA I also certify that using restricted data and
software on the HPC resources requires extra steps described at UFRC
Policies and at UFRC Export Policies, and that I will notify both my
account sponsor and the Office of Research (Research Compliance) and
Research Computing at support.rc.ufl.edu when I am working with such
data.
R markdown (demonstration)
Anaconda and jupyter notebook (demonstration)
Create a new environment
Since different packages have different dependency, the
project-specific environment help avoid conflicts
