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README.Rmd
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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: 2023
:alarm_clock: ??
:office: via [Zoom](https://moffitt.zoom.us/j/99031977384)
: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.
<!--
* 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
* June 01 - [Basics of R/RStudio](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ef316a92-1a87-4ae8-a788-aea70150dd19)
* June 08 - [Data import and wrangling part I](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d525ac17-661c-44f4-9ad3-aeae0153744a)
* June 15 - [Data wrangling part II](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c9dcb86c-d5fe-4662-bfbf-aeb5014a74bb)
* June 22 - [Visualizations with `ggplot2` part I](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=59d650c7-fb6d-45b7-9146-aebc014f764c)
* June 22 - [Visualizations with `ggplot2` part II](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=77afb363-11d7-40c5-beff-aec3014a604f)
* July 06 - [Statistics part I](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=88550b82-b60b-42e3-bba4-aeca0151967b)
* July 13 - [Statistics part II](https://moffitt.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3ba6f5c1-a058-4d93-85f8-aed1014d746f)
* July 20 - [`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.
-----