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Please NOTE, you must register here (https://statsoc.org.au/event-4012234) to attend this event. RSVPing this event on meetup does not mean that you registered for the workshop. You must register at the above address. ---------------------- The Statistical Society of Australia warmly invites you to a workshop on Data Wrangling with R, taught by Dr. Emi Tanaka. Timetable Please note times are in AEDT. Day[masked]pm – 3.00pm (1.5 hours) Session[masked]pm – 3.30pm Break / networking over virtual afternoon tea 3.30pm – 5:00pm (1.5 hours) Session 2 Day[masked]pm – 3.00pm (1.5 hours) Session[masked]pm – 3:30pm Break / networking over virtual afternoon tea 3:30pm – 5:00pm (1.5 hours) Session 2 About the workshop: Data wrangling is one of the first key steps necessary before downstream analysis such as visualization or modelling. This workshop will teach you how to wrangle data in the statistical language R using the tidyverse suite of packages, i.e. dplyr, tidyr, stringr, lubridate and forcats. This will include learning about the concept of tidy data and learning the new verbs in dplyr v1.0.0 released early this year. The workshop will be hands-on with plenty of practical examples and time for participants to work through exercises to put what they learnt into practice. About the presenter: Emi Tanaka is a Lecturer in Statistics at Monash University and the Vice President of the SSA Victorian Branch. Her research interest is in producing useful statistical tools for practitioners, motivated primarily by applications in bioinformatics and agriculture. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on a variety of R-related workshops. Target audience: The workshop is suitable for those who know R but are not familiar or comfortable with using the tidyverse suite of R packages to do data wrangling. Learning objectives: · Transform messy data into tidy data using various R packages · Learn to pivot data from longer to wider format and vice versa using the tidyr R package · Complex data wrangling with the dplyr R package · All about factors and how to manipulate it easily using the forcats R package · Dealing with dates using the lubridate R package · Manipulating characters with the stringr R package Requirements: · Basic R knowledge (e.g. you have used R to load data, create simple visualisations, perform basic analyses and write simple functions or more specifically, you are familiar with concepts in Cookbook for R by Winston Chang) · Basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots) · Computer (with ability to install R and R-packages), microphone and web camera · Stable internet connection · Install the video conferencing software, Zoom and know how to use Zoom Desirable: · Know about tidy data · Some familiarity with tidyverse or ggplot2 · Know about regular expressions Expenses Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation. Member – $170.00 Member Early Bird – $150.00 Available until 2 Nov. Non-Member – $320.00 Non-Member Early Bird – $300.00 Available until 2 Nov. Student Member – $95.00 Student Member Early Bird – $75.00 Available until 2 Nov. Cancellation Policy Cancellations received prior to 6 Nov 2020 will be refunded, minus a $20 administration fee. From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to [masked].
This year because of the restriction of COVID-19 we decided to cancel the Annual Dinner 2020, but we are still holding our Annual Lecture 2020, well online though, obviously. This year, we are very happy to have Professor Gillian Heller from Clinical Trials Centre, University of Sydney, to talk about distributional regression. Please note for security reasons, you will need to register in advance for this meeting: https://uni-sydney.zoom.us/meeting/register/tZMsfuCrrzoqE9yC89nXrY8IeXqlzF9c-0iB After registering, you will receive a confirmation email containing information about joining the meeting. This register link is shared with the J. B. Douglas Awards, you only need to register once. Any questions, please feel free to contact: [masked] Date: Tue, 8th December 2020 Time: From 6pm. Presentation on Zoom The new normal: distributional regression Speaker: Professor Gillian Heller, Clinical Trials Centre, University of Sydney Abstract: Regression analysis has evolved almost beyond recognition in the last 40 years. Vastly increased flexibility has been gained at the cost of an increase in mathematical and interpretational complexity, enabled by the exponential increase in computational power over the same period. I will share my personal experiences in this area, and attempt to evaluate what we have lost and gained in the journey from the classical linear model to distributional regression. Biography: Professor Gillian Heller joined the CTC as Professor of Biostatistics in 2020. She coordinates the consulting and outreach activities of the biostatistics group, and is involved in design and analysis across multiple trials. Prior to that she was Professor in the Department of Statistics (more recently Department of Mathematics and Statistics) at Macquarie University. From 2014 to 2019, Gillian was Chair of the Biostatistics Collaboration of Australia, a multi-institutional body that offers a postgraduate program in Biostatistics, across Australia. She has over 30 years of experience as a biostatistician and academic statistician.