Hi all,
I wanted to let you know about some exciting upcoming workshops in R being offered by the Library. For those who are not familiar, R is a computer program that has become an important text-mining tool for digital humanities research.
For those interested in learning more about text mining, Ted Underwood has written a nice introduction here.
Information about the workshops below.
R WORKSHOPS
Title: Intro to R
Date: Tuesday, November 8, 2016
Time: 9:00am 12:00pm
Presenter: Reid Otsuji & Tim Dennis
Location: Biomed: Classroom 4
Categories: Data Services, R Registration: Registration is required for this event.
Description: This 3 hour course includes a basic introduction to the R syntax, data structures, and language constructs.
We will also cover using RStudio, a tool to help manage R projects and write R scripts. Following the basics, we will cover how to import
data into R and how to work with R’s most used data structure, a dataframe. This course is geared to participants who are new to R.
Title: Data Cleaning, Preparation and Analysis in R
Date: Thursday, November 10, 2016
Time: 9:00am 12:00pm
Presenter: Reid Otsuji & Tim Dennis
Location: Biomed: Classroom 4
Categories: Data Services, R
Registration: Registration is required for this event.
Description: This workshop is geared to researchers wanting to use R for basic data manipulation and analysis. It will introduce participants to the basics of data tidying and manipulation (notably using tidyr & dplyr), how to set up data processing pipelines, and briefly cover working with a database. We will be using a genomics dataset for this course. This workshop is designed for novices, but we would like you to have some experience with R or have attended the Intro to R course on 11/8.
Title: Introduction to text mining in R
Date: Wednesday, November 16, 2016
Time: 9:00am 12:00pm
Presenter: Tim Dennis
Location: Biomed: Classroom 4
Categories: Data Services, R
Registration: Registration is required for this event.
Description: This workshop will introduce you to text analysis techniques in R, an open source programming language. Some familiarity with R is expected as a requirement to attend this course. You can attend the Intro to Rcourse we provide or take this online tutorial https://www.datacamp.com/courses/freeintroductiontorfrom DataCamp.
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