Introduction to statistical modelling for psychologists in R (IPSY02) (GLASGOW, SCOTLAND)
https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/

and

An exploration of R for psychologists: from data handling to multilevel modelling (XPLR01) (NSW, AUSTRALIA)
https://www.psstatistics.com/course/an-exploration-of-r-for-psychologists-from-data-handling-to-multilevel-modelling-xplr01/

FULL DETAILS OF BOTH BELOW

Introduction to statistical modelling for psychologists in R (IPSY02)
https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/

Delivered by Dr. Dale Barr and Dr. Luc Bussiere from the 1st - 5th April 2019, Glasgow

Course Overview:
This course will provide an introduction to working with real-life data typical of those encountered in the field of psychology. The course will be delivered by Dr. Dale Barr and Dr. Luc Bussière, who are practicing academics in the fields of psychology and evolutionary biology respectively, with many years of expertise with R and statistical modelling as both scientists and instructors.  This five-day course will consist of series of modules (each lasting roughly half a day) covering topics including the basic ‘canon’ of psychological statistics (t-test, correlation/regression, ANOVA) presented within the framework of general linear models, and building up to logistic regression and linear mixed-effects modelling. Along the way you will gain in-depth experience in data wrangling using the R ‘tidyverse’, data and model visualisation and plotting, as well as exploring and understanding model diagnostics. Classes will consist of a mixture of lectures and practical exercises designed to either build required skills for future modules or to perform a family of analyses that is frequently encountered in the psychological literature.

AND
 
An exploration of R for psychologists: from data handling to multilevel modelling (XPLR01)
https://www.psstatistics.com/course/an-exploration-of-r-for-psychologists-from-data-handling-to-multilevel-modelling-xplr01/r 

Delivered by Dr. Sean Murphy from the 6th - 10th May 2019, Australia

Course Overview:
This five-day course workshop aims to provide a hands-on introduction to the statistical software package R, with the aim of enabling interested researchers to transition to using R instead of existing software packages (such as SPSS).
R is a very powerful tool that allows you to perform almost any analysis imaginable, easily grapple with the messiest data, and produce beautiful plots and reports. Because using R involves coding (there is no point-and-click interface), it can take some effort to learn. However, this initial investment will pay constant dividends, as you will be able to meet any future analytic or data-cleaning challenges.
Over the course of five days, we’ll use real datasets from psychology to master data cleaning, manipulation, and plotting within R, using the tidyverse, a set of powerful and easy-to-use packages. We’ll then move on to cover how to perform common analyses (e.g. t-tests, regressions, anova, moderation), as well as covering a variety of multilevel models (longitudinal, nested groups, dyadic and round-robin data). Datasets will be provided for these purposes but you’ll also be welcome to bring your own.
A small amount of familiarity with R (loading the software, reading in data, installing packages) will be required before the course starts. Students with no prior experience with R should complete this short DataCamp course, and the Setup instructions listed here, in order to fulfil this pre-requisite.

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