output | ||||
---|---|---|---|---|
|
Here are the support files for the EmuR Workshop at the CoEDL Summer School 2019
This is a gentle introduction to Emu R and using R studio for speech science and phonetics. This document will help you install R, Rstudio and EmuR which are pre-requisites for this course.
If you don't have R and R studio installed, please follow the steps described in this document (and see the wiki for further info).
- The first step is to install R from this url: https://cran.ms.unimelb.edu.au
- Download the correct binary for your platform:
- Follow the installation instructions (Install RTools if you are on Windows)
We require the open source version of RStudio Desktop.
https://rstudio.com/products/rstudio/download/#download
If you don't already have EmuR Installed you can install it using:
# install.packages('devtools')
install.packages('tidyverse') # Required for emu
install.packages('emuR')
# If we want the development version of emuR we can use the following code:
# library(devtools)
# install_github("IPS-LMU/emuR")
Please open the Code
folder and goto 01_emu_basics.R
and then to 02_emu_further_plotting.R
.
Once you have worked through those files then you can take a look at the import and export instructions in the Docs
folder. All of these files will open in RStudio.
For further information and guides on how to add formants and fundamental frequency information, take a look at the Wiki (https://github.com/Hywel-Stoakes/EmuRSummerSchool/wiki)
For further information see the Emu SDMS Manual by Raphael Winkelmann: https://ips-lmu.github.io/The-EMU-SDMS-Manual/
A great general resource for using R for Data Science is R for Data Science by Garrett Grolemund and Hadley Wickham (read online at: https://r4ds.had.co.nz)
Please contact me if you have any questions: hstoakes at unimelb dot edu.au