https://github.com/zkamvar/presentation-aps2015

Code and notes for Zhian Kamvar's APS 2015 presentation: Evidence for at least two introductions of the sudden oak death pathogen into Oregon forests
https://github.com/zkamvar/presentation-aps2015

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Code and notes for Zhian Kamvar's APS 2015 presentation: Evidence for at least two introductions of the sudden oak death pathogen into Oregon forests

• Host: GitHub
• URL: https://github.com/zkamvar/presentation-aps2015
• Owner: zkamvar
• Created: 2015-08-03T16:58:36.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-08-03T18:12:42.000Z (over 9 years ago)
• Last Synced: 2024-06-11T18:25:02.964Z (5 months ago)
• Language: TeX
• Size: 31.6 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Evidence for at least two introductions of the sudden oak death pathogen into Oregon forests

[**PDF of presentation**](https://github.com/zkamvar/Presentation-APS2015/blob/master/beamer_presi/Kamvar_2015-08-02_APS.pdf)

## About

This repository contains code for my presentation on August 2nd, 2015 at the 

American Phytopathological Society annual conference in Pasadena, CA. This is

rendered via the R package knitr and requires the [Sudden Oak Death In Oregon 

Forests repository](https://github.com/zkamvar/Sudden_Oak_Death_in_Oregon_Forests)

to work. The file `beamer_presi/session_information.txt` contains the 

information about packages used for this presentation.

At th current moment, this is not complete. I will add more detailed notes for

the slides.

## Setup

You will need LaTeX and a few R packages for this to work correctly.

```r

# install these packages

install.packages(c("knitr", "devtools", "dplyr", "ggmap", "cowplot", "rgdal", "poppr"))

devtools::install_github("zkamvar/Sudden_Oak_Death_in_Oregon_Forests/PramCurry")

```

Make sure to change the 9th line in the first R chunk in `beamer\_presi/Kamvar\_2015-08-02\_APS.Rnw` to the correct path of the Sudden Oak Death Repository.

You should be able to render this to PDF in Rstudio.