Loading Events

« All Events

  • This event has passed.
Apr 13

Solutions for messy data and recipes for robust data analysis in R

13 April 2023 @ 10:00 am - 14 April 2023 @ 2:00 pm

Colorful software or web code on a computer monitor

Are you frustrated by Excel, the cumbersome process of copy-pasting information from one file to another, or how difficult it can be to select the right data to plot? Do you care about reproducibility and open science? Are you often unsure about what statistical analysis to use and how to interpret results?

With R you can automatically combine Excel files and easily apply summary statistics on multiple data sets. You can produce beautiful plots with custom font sizes ready for publications and posters. You can sort your processing and analysis pipeline in a way that is easy to read and ready to share.  Also, performing inferential statistics is as easy as one line of code.

In this two-day workshop, we will go through data wrangling and the organization of multiple Excel files downloaded from an online platform used to collect data from surveys and experiments. We will discuss the basics of data cleaning, organization, and available plots to show different types of relationships between variables. During the second session, we will move on to discuss statistical tests, such as t-tests, ANOVAs, and linear regression.

Depending on demand, we will cover more advanced topics such as logistic regression and mixed effects models or will stick to basics and focus on perfecting essential skills. So, independent if you have never touched R before, or have compiled a violing plot or two, you are welcome.

Also, this event is a great opportunity for those who have not started data collection yet, because it is essential to know what the possibilities of data analysis are in order to plan and collect data efficiently.

This event will run from 10:00 – 14:00 on 13/04/2023 and 9:00 – 14:00 14/04/2023, with a Q & A session from 14:00 – 16:00.

Details

Start:
13 April 2023 @ 10:00 am
End:
14 April 2023 @ 2:00 pm
Event Category:

Venue

Online

Organiser

Ralitsa Kostova
Email
Ralitsa Kostova (PGR)
Attendance: 21 / 60