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Introduction to R for biologists (IRFB01)
7th December 2015 - 10th December 2015
The course will consist of a series of 8 modules each lasting roughly half a day, and designed to build required skills for subsequent modules and more advanced courses. At its conclusion, participants will have acquired basic skills in coding with R, and will be able to perform and interpret simple analyses, and critically evaluate similar analyses from the scientific literature and technical reports.
The course is aimed at biologists with no experience using the software R and no understanding or exposure to statistics.
A mixture of lectures and hands-on practical’s. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.
Assumed quantitative knowledge
No quantitative understanding of statistics is required.
Assumed computer background
No experience in the software R is required but some computer experience is preferred.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links.
It is essential that you come with all necessary software and packages already installed (you will be sent a list of packages prior to the course) internet access may not always be available.
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Meet at the Tullie Inn, Balloch at approximately 18:30 before being taken by minibus to SCENE (Download directions PDF).
Monday 7th – Classes from 09:00 to 17:00
Module 1: coding in the R language.
Module 2: graphics using R.
Tuesday 8th – Classes from 09:00 to 17:00
Module 3: probability theory and distributions.
Module 4: null hypothesis testing and parameter estimation.
Wednesday 9th – Classes from 09:00 to 17:00
Module 5: univariate regression.
Module 6: multiple regression.
Thursday 10th – Classes from 09:00 to 17:00
Module 7: categorical variables.
Module 8: case study: linear models in stock assessment.