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README.Rmd
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README.Rmd
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---
output: github_document
---
# Intermediate R
### Course Description
Welcome to Intermediate R\! This short course builds onto the [Intro to R](https://github.com/uc-r/Intro-R) course and provides a hands-on
approach to using the R programming language for data science
applications. In this course you will learn about various workflow approaches,
scoped variable transformation, control flow, iteration with loops, iteration
with functional programming, and how to write _good_ functions. The
following is an outline of the material covered in this training:
**Day 1**
| Topic | Time |
| :----------------------------------------------------------------------------- | :-----------: |
| Breakfast / Social time | 8:00 - 9:00 |
| [Introductions](https://uc-r.github.io/Intermediate-R/day-1a-intro.html) | 9:00 - 9:30 |
| [Scoped variable transformations](https://uc-r.github.io/Intermediate-R/day-1b-scoped-dplyr.html) | 9:30 - 10:45 |
| Break | 10:45 - 11:00 |
| [Control statements](https://uc-r.github.io/Intermediate-R/day-1c-control-flow.html) | 11:00 - 12:00 |
| Lunch | 12:00 - 1:00 |
| [Workflow](https://uc-r.github.io/Intermediate-R/day-1d-workflow.html) | 1:00 - 2:30 |
| Break | 2:30 - 2:45 |
| [Case study](https://uc-r.github.io/Intermediate-R/day-1e-case-study.html) | 2:45 - 4:00 |
| Q\&A | 4:00 - 4:30 |
**Day 2**
| Topic | Time |
| :---------------------------------------------------------------------------- | :-----------: |
| Breakfast / Social time | 8:00 - 9:00 |
| [Review](https://uc-r.github.io/Intermediate-R/day-2a-intro.html) | 9:00 - 9:30 |
| [Iteration with loops](https://uc-r.github.io/Intermediate-R/day-2b-loops.html) | 9:30 - 10:30 |
| Break | 10:30 - 10:45 |
| [Iteration with functional programming](https://uc-r.github.io/Intermediate-R/day-2c-fp.html) | 10:45 - 12:00 |
| Lunch | 12:00 - 1:00 |
| [Writing functions](https://uc-r.github.io/Intermediate-R/day-2d-functions.html) | 1:00 - 2:30 |
| Break | 2:30 - 2:45 |
| [Case study](https://uc-r.github.io/Intermediate-R/day-2e-case-study.html) | 2:45 - 4:00 |
| Q\&A | 4:00 - 4:30 |
### Course Preparation
To prepare for this course please complete the following ***prior*** to
the day of class:
1. Download the class material [here](https://www.dropbox.com/sh/cafgzwtd7hbpz50/AABxrvnAqAwVU0rCCy55omg2a?dl=1).
This will provide you with the data and scripts to follow along
during class. Be sure to unzip the file otherwise you will have run issues.
2. All slides are available via the hyperlinks in the schedule above so
that you can follow along.
3. Please have the following versions of R and RStudio installed. If
you have an earlier version of R that is at least version 3.4.5 or
later you should be ok but its best to be as current as possible.
- R: 3.5.2 \[[download latest
version](https://cran.r-project.org/)\]
- RStudio: 1.1.463 \[[download latest
version](https://www.rstudio.com/products/rstudio/download/#download)\]
4. Run the `00-run-this-script-first.R` script to make sure you have all the
required packages for this course. If you run into any problems just let me
know.
5. This course makes some assumptions about your prior knowledge. To ensure your
success, be sure that you have reviewed and are comfortable with the material
covered in the [Intro to R](https://github.com/uc-r/Intro-R) course.
If you have any specific questions prior to the class you can reach out to me
(Brad Boehmke) directly at [bradleyboehmke@gmail.com](mailto:bradleyboehmke@gmail.com).