Introduction to R for biologists (IRFB02)

Glasgow from 29th October - 1st November 2018

Course overview:
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.

Monday 29th
1. Data visualisation using ggplot2
2. Packages, names, data types
3. Read, write, access, manipulate data

Tuesday 30th
1. Scripts and projects
2. Probability distributions, parameter estimation, conīŦdence intervals
3. Null hypothesis testing

Wednesday 31st
1. Control statements
2. Writing R Functions
3. Simple linear regression

Thursday 1st
1. Multiple linear regression (Estimation of model parameters, Ordinary and 
standardized regression coefficients, Multicollinearity, Hypothesis testing)
2. Model and variable selection


Check out our sister sites,
** <>
 (Ecology and Life Sciences)
** <>
 (Bioinformatics and data science)
** <>
 (Behaviour and cognition)

Oliver Hooker PhD.
PR statistics

2018 publications -

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 

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