911±¬ÁÏÍø

Overview

Organised by CASC, delivered by R-studio certified and industry expert:ÌýÌý

Course content

Day 1: {tidyverse} 11th October 2024Ìý

• Ìý Ìý Ìý Ìý What is a framework package and the packages within tidyverse.
• Ìý Ìý Ìý ÌýÌýLearn and use the verb functions of {dplyr} (select, filter, arrange, mutate, group by and summarise)
• Ìý Ìý Ìý Ìý Improve your R code workflow with the pipe operator.
• Ìý Ìý Ìý Ìý String manipulationsÌýusing {stringr}
• Ìý Ìý Ìý Ìý Learn about factors and how to manipulate them using the {forcats} package
• Ìý Ìý Ìý Ìý A brief intro to {tidyr} and the pivot_longer and pivot_wider functions.

Ìý

Day 2: {ggplot2} 18th October 2024

• Introduce the main components needed to create a graphical object using the ggplot function.
• Explain the aesthetic mapping approach and what are geometry layers such as geom_point, geom_line etc.
• How do we add colour, transparency, change the size and shape.
• Circle back to how tidyverse functions help us prepare our data for visualisations.
• Dependent on timeÌýa brief intro to the theme function and other areas of customisation of the plot such as the labels, title and caption.

* Ìýbonus item: demo of shiny and highlight its benefits.

Eligibility

The course is suitable for those who wish to gain an introductory understanding intoÌý{tidyverse} and {ggplot2}.

Cost and concessions

The fees are:

• External Students (Non UCL) -ÌýÌý£350
• UCL Staff, Students and 911±¬ÁÏÍøÌý- £175
• ICH/GOSH and Doctoral Students - £175

* valid UCL email address and/or UCL alumni number required upon registration.

Certificates

You can request a certificate of attendance for all of our courses once you've completed it. Please send your request to ich.statscou@ucl.ac.uk

Include the following in your email:

• the name of the completed course for which you'd like a certificate
• how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)

Cancellations

Read the cancellation policy for this course on the ICH website. Please send all cancellation requestsÌýtoÌýich.statscou@ucl.ac.uk

Find out about CASC's other statistics courses

CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.

Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)

Course team

Dr Eirini Koutoumanou

Eirini has a BSc in Statistics from Athens University of Economics and Business and an MSc in Statistics from Lancaster University (funded by the Engineering and Physical Sciences Research Council). She joined UCL GOS Institute of Child Health in 2008 to develop a range of short courses for anyone interested in learning new statistical skills. Soon after, CASC was born. In 2014, she was promoted to Senior Teaching Fellow. In 2019, she successfully passed her PhD viva on the topic of Copula models and their application within paediatric data. Since early 2020 she has been co-directing CASC with its founder, Emeritus Professor Angie Wade, and has been the sole Director of CASC since January 2022.

Dr Chibueze Ogbonnaya

Since joining the teaching team at CASC in February 2019, Chibueze has contributed to the teaching and development of short courses. He currently leads and co-leads short courses on MATLAB, missing data, regression analysis and survival analysis. Chibueze has a BSc in Statistics from the University of Nigeria, where he briefly worked as a teaching assistant after graduation. He then moved to the University of Nottingham for his MSc and PhD in Statistics. His research interests include functional data analysis, applied machine learning and distribution theory.

Dr Catalina Rivera Suarez

Catalina has been an Associate Lecturer (Teaching) at CASC since January 2021. She has a PhD in Psychology and an MSc in Applied Statistics from Indiana University. She’s passionate about teaching courses in research methods, statistics, and statistical software. Catalina’s research focuses on studying how caregivers support the development of children's attentional control and language. She implements multilevel modeling techniques to investigate the moment-to-moment dynamics of shared joint visual engagement, as well as the quality of the language input, influencing infant learning and sustained attention at multiple timescales.

Dr Manolis Bagkeris

Manolis has a BSc in Statistics and Actuarial-Financial Mathematics from the University of the Aegean and an MSc in Medical Statistics from the Athens University of Economics and Business (AUEB). He’s worked as a research assistant at University of Crete, UCL and Imperial College London. He’s been working at CASC since November 2021, providing short courses in research methods and statistics for people who want to develop or enhance their knowledge in interpreting and undertaking their own research. His interests include paediatric epidemiology, clinical and population health, HIV, mental health and development. He was awarded a PhD from UCL in 2021 on the topic of frailty, falls, bone mineral density and fractures among HIV-positive and HIV-negative controls in England and Ireland.

Course information last modified: 20 Aug 2024, 16:21