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README.Rmd
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---
output: github_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
![ATS2020](images/ats2020.png)
# ATS2020_PG9
This is a guide for acquiring the course materials for ATS 2020 PG9: A HANDS-ON INTRODUCTION TO STUDYING THE LUNG MICROBIOME
# Pre-course preparation
Prior to starting the section entitled Hands-On: A Crash Course in Microbiome Analysis: Part 1 several pieces of software need to be acquired. Completing these first three steps is required in order to be able to follow along during the live hands-on presentation. It should take between 15-30 minutes to complete these preparatory tasks.
## I. R
First you'll need to acquire R itself. This can be done directly from [CRAN](https://cran.r-project.org/). If R is already installed, we recommend updating to the current version. You can check your R verison with `getRversion()`.
## II. RStudio
Secondly, install the free desktop version of [RStudio](https://rstudio.com/products/rstudio/download/#download). We also recommend updating RStudio if a prior installation exists.
## III. Course Materials
Next, the course materials need to be acquired and loaded. First, locate the green **Clone or download** button at the top right of this page, then download the ZIP contents. From your Downloads folder, extract the files from **ATS2020_PG9-master.zip**. We recommend moving this unzipped/extracted directory either to your desktop or preferred workspace. You will need to navigate to this extracted directory in the next step.
Next, launch RStudio. Then create a new project, by clicking **File > New Project**, in the upper left of the RStudio interface. Click on **Existing Directory** and then browse to find the **ATS2020_PG9-master** directory that was extracted. Finally, left click the file entitled **PG9_Lung_Microbiome_Tutorial.Rmd** from the lower right pane in the RStudio inferface.
This extracted directory includes all of the data and code necessary to follow along during the hands-on session, though the only file you'll need to directly interact with is **PG9_Lung_Microbiome_Tutorial.Rmd**. Completing these first three steps is required in order to be able to follow along with the hands-on presentation. It should take between 15-30 minutes to complete these tasks.
If you wish to explore at your own pace, you can review the code and run it chunk by chunk, or create the report for a more guided experience (see Step V. below).
## IV. Introduction to R (optional: 90-120 minutes)
It would also be highly beneficial to be familiar with the basics of R programming prior to participating in the course, though it is not required. A great resource is [R for Data Science](https://r4ds.had.co.nz/). Reading chapters 1 through 5 will familiarize you with the R design philosophy and syntax you'll see during the hands-on presentation.
## V. Knit the Tutorial (optional: < 5 minutes)
Finally, the .Rmd filed included with these course materials can be assembled into an html report by cliking the Knit button inside RStudio.
![Knit](images/knit.png)