This website and workshop was created by Aleeza Gerstein as a two- or
three-day workshop for microbiology graduate students. The overarching
goal was to provide an introduction to the R programming language
(including the tidyverse
) functions and to provide some
instruction in data visualization and statistical analysis.
The workshop will be fully hands-on. You will need your own computer.
Download R AND R Studio before the workshop from here
R and RStudio require separate installations. R is the underlying statistical computing environment. RStudio is a graphical integrated development environment (IDE). You can think of R as the engine, and RStudio as the car. You need to install R before you install RStudio. R and RStudio should both be installed prior to attending the workshop. I have not budgeted any workshop time for assisting with installation issues and we will begin promptly at 9:30am on the first day.
Download Code 1 Handout here
here
package doesread_csv
to read.csv
Download theCode 2 Handout here
Download the full code handout here
Attribution for each lesson is provided on each page. The first lesson was heavily based on material from five lessons were heavily based on material from the Reproducible Science Workshop and Reproducible Science Curriculum. The four R lessons are based on Data Carpentry, primarily the Ecology and Genomics lessons. Inspiration and some components were taken from the Modern Dive textbook.
The lesson on exploratory data analysis is based on a microbiological dataset that compares drug resistance measured in disk diffusion and broth microdilution assays.
All materials are made available under the Creative Commons Attribution license. License.