This workshop will introduce the basics of how to program in R, including data management techniques, simple analyses (e.g., t-tests, correlations, ANOVA) and visualization of data. By the end of the workshop, participants will be more familiar with how to import data files, use R to clean their own data (e.g., recode, rename, delete, add data), conduct simple analyses, and plot their data. All code, materials, and examples will be provided for you to keep after the workshop. This workshop is suitable for all beginners, including undergraduates looking to conduct their own analyses for honours thesis projects and independent research projects, as well as graduate students and faculty looking to get a better understanding and familiarity with R to use in their research.
Instructor:
Ronda Lo, MA. Ronda is a 4th year PhD student in the Social-Personality program within the Department of Psychology at York University, and is completing the Quantitative Methods Diploma. She has been using R for over 4 years, and has practical knowledge of R through both formal course work as well as in her own research. She is familiar with different types of data in order to investigate the influence of culture on visual attention (reaction time and accuracy data), biology (genetic data), values and beliefs (survey and qualitative data), and social behaviours (behavioural data).
