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https://github.com/karthik/esa_data_viz
ESA 2013, Data Visualization in R workshop
https://github.com/karthik/esa_data_viz
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ESA 2013, Data Visualization in R workshop
- Host: GitHub
- URL: https://github.com/karthik/esa_data_viz
- Owner: karthik
- Created: 2013-01-18T00:31:37.000Z (almost 12 years ago)
- Default Branch: master
- Last Pushed: 2019-02-01T22:57:49.000Z (almost 6 years ago)
- Last Synced: 2024-10-12T19:10:52.828Z (3 months ago)
- Language: R
- Homepage:
- Size: 6.17 MB
- Stars: 3
- Watchers: 4
- Forks: 12
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# ESA 2013 workshop on Data Visualization using R.
Welcome to the GitHub repository for the [data visualization workshop](http://eco.confex.com/eco/2013/webprogram/Session9052.html).
**Location and time:** 101B, Minneapolis Convention Center.
Sunday, August 4th 2013, 0800 - 11:30 am
*Note: Room has no wi-fi.*
## Organizers
[Naupaka Zimmerman](http://www.stanford.edu/~naupaka/), [Karthik Ram](http://nature.berkeley.edu/~kram) ([blog](http://inundata.org)), and [Andrew Tredennick](http://warnercnr.colostate.edu/~atredenn/).
---
## Pre workshop instructions
**Important:** There will be no wifi in conference rooms this year so please plan on spending 10 minutes on Saturday night (or from the conference lobby on Sunday morning) to install the packages listed below and also download a local copy of this repository (see instructions below).
### Installing R
If you don't already have R set up with a suitable code editor, we recommend downloading and installing [R](http://cran.cnr.berkeley.edu) and [RStudio Desktop](http://www.rstudio.com/ide/download/) for your platform. Once installed, open RStudio and install the following packages. Simply paste these commands into your prompt.
### Installing packages
```coffee
install.packages("ggplot2", dependencies = TRUE)
install.packages("plyr")
install.packages("ggthemes")
install.packages("reshape2")
install.packages("gridExtra")
install.packages("devtools")
install.packages('cshapes')
# Then a few packages to acquire data from the web to visualize
install.packages("rfisheries")
install.packages("rgbif")
install.packages("taxize")
# optional
devtools::install_github("rWBclimate", "ropensci")
```
### Downloading code/data from this repository
If you're already familiar with `Git`, then simply clone this repo. If you're not familiar with Git, simply hit the **Download ZIP** button on the right side of this page. If you're not sure where to save it, just download and unzip to your Desktop.
*Please wait until Saturday afternoon to this so you are able to download the latest changes. Otherwise do another git pull or replace your donwloaded copy with a newer one.*
If you're having any trouble with these steps please drop us an [email](mailto:[email protected]). We'll also strive to have local copies if you forget to install any of these tools.
See you Sunday!
---