Getting the most out of R

Dates

ONLINE, 7-10 February 2022 

 

Due to the COVID-19 outbreak, this course will be held online

 

Course overview

Many scientists start using R for very specific purposes with little training in computer science, data organization, and software development. Even advanced users may bypass important tools and abstractions which can ultimately lead to bad habits and wasting time. Get the most of R by exploring topics that usually fall outside of data analysis and visualization curricula.
This course will cover blind spots in existing materials by working through the intermediate steps in various pairs of problems and solutions that often get overlooked because of assumed knowledge.

Target audience

R users in scientific fields with a moderate amount of R and RStudio experience, for the most part self-taught, overwhelmed by the amount of resources, and interested in becoming more efficient.

Program

 

Monday– Classes from 2-8 PM Berlin time


Syntax quirks and idiosyncrasies


Navigating R ‘dialects’


Major changes and milestones in R through time (tidyverse, pipes, native pipes, stringsAsFactors)

Project and workflow organization


Directory structures, file paths and names (storing files in a particular location, with intentional and meaningful names)


Using the {fs} package to work with the file system


Using projects and the {here} package and relative paths


Project templates and organization

 



Tuesday– Classes from 2-8 PM Berlin time -

Organizing data in spreadsheets


Principles of rectangular data


Tools for data rectangling (tidyverse-oriented)


Data types and missing values

 



Wednesday– Classes from 2-8 PM Berlin time

Increasing efficiency


Iteration, writing loops and using {purrr} and {furrr}


Apply functions to many things at once


Reading many files at once


Modifying and exporting multiple objects


Useful RStudio (and VSCode) addins and helpers


Regular expressions for working with text strings




Thursday– Classes from 2-8 PM Berlin time

 

Overcoming errors, understanding what’s wrong and getting unstuck


Friendly online resources


Building web searches to solve common problems


Identifying the best solutions


Creating reproducible examples with the {reprex} package

 

 


Cost overview

Package 1

 

430 €


Should you have any further questions, please send an email to info@physalia-courses.org

Cancellation Policy:

 

> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.

 

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.