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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
Introduction to R
================
### Moffitt Cancer Center
-----
:calendar: May 31 - July 19 2023
:alarm_clock: 3:00 - 4:00 pm
:office: via [Zoom](https://moffitt.zoom.us/j/94702569348)
:computer: [Moffitt](https://moffitt.org/)
-----
## Setup
The course will be hosted through Zoom with video recordings posted on Ponopto after.
Links to recorded lectures will be emailed out after class.
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* When you're done, put a green post-it on your computer.
* If you need help, put up a pink post-it.
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## Course material
All slides will be made available the day of the lecture with any live-coding notes
posted after the lecture.
All data used through out the course will be made available in the data folder.
Quizzes can be found in the class Moodle.
<!--
* Rewrite as links to slides on github once they are made
* [Name of talk](path/to/slides.pdf)
-->
## Questions?
Feel free to ask questions in the [GitHub Issues](https://github.com).
## Overview
This is an 8 week course designed to introduce future users to R and Rstudio.
We will cover data cleaning using the `tidyverse`, creating visuals with `ggplot`,
basic statistical analysis and writing documents with `Rmarkdown`. In the end
you should be able to:
<!--
Each instructor should provide a one sentence summary of what participants
will be able to do after thier lecture
-->
* import and manipulate data into different formats
* create new variables and recode existing ones
* plot data using the appropriate figure type
* perform basic statistics
* write Rmarkdown reports
## Who is this course designed for?
Have you never written any code in R or any other programming language? Are you
familiar with R, but hoping to bulk up your basic skills? Have you used R but are
new to the `tidyverse` framework?
## Materials
Materials will be made available on [GitHub](https://github.com/FridleyLab/Intro_to_R_2023/).
If you are using an organization-issued laptop, you may want to verify before you
arrive that you can access GitHub.
## Schedule and Links
* May 31 - [Basics of R/RStudio](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=2649cee7-8c62-4220-8606-b0130150775c)
* June 07 - [Data import and wrangling part I](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e8f7c87f-84a4-4366-87ea-b01a0155080b)
* June 14 - [Data wrangling part II](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6ac1fd03-e76f-4ef3-ad77-b02101541d07)
* June 21 - [Visualizations with `ggplot2` part I](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=450fa6c1-c6d5-4a41-8ce8-b028014df44c)
* June 28 - [Visualizations with `ggplot2` part II](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=726e0b9b-0a28-48ac-abf3-b02f015092cb)
* July 05 - [Statistics part I](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a00ea64b-ba04-4667-a576-b03601505ca7)
* July 12 - [Statistics part II](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f034f531-3453-41ff-92d5-b03d015383f1)
* July 19 - [`rmarkdown`](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=9382f60b-eb19-4eb4-9426-aed8014ac911)
## Instructors
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* add small blurbs/pictures for each instructor?
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This course is taught by members of Moffitt staff including Jordan
Creed, a data scientist in the Department of Health Informatics, Zachary
Thompson and Ram Thappa, biostatisticians in the Bioinformatics and
Biostatistics Core.
-----