Ihaka lectures 2017: Expressing yourself with R Event as iCalendar

(Science Event Tags, Conferences, Lectures, Seminars, Department of Statistics)

08 March 2017

Venue: MLT1 Lecture Theatre, Ground Floor, Building 303, 38 Symonds Street, City Campus, Auckland Central

Location: Please join us for refreshments from 6pm in the foyer area of Building 302, 23 Symonds Street.

Host: Department of Statistics

Cost: Free - all welcome

Website: www.stats.auckland.ac.nz/ihaka-lectures

Speaker: Hadley Wickham, Chief Scientist, RStudio, Associate Professor, Department of Statistics, University of Auckland


Associate Professor Hadley Wickham
Associate Professor Hadley Wickham

Launching our 2017 Ihaka Lecture Series, Associate Professor Hadley Wickham (University of Auckland) will deliver the following lecture:

 

Expressing yourself with R

To carry out modern data analysis (also known as data science) you must use a computer, and if you’re working with data science every day, you should be using a programming language. Learning a new language (programming or human!) is hard work. But for data science, it’s a pay off because it gives you the ability to reproduce your analyses and to automate repetitive tasks.

In this talk, I’ll discuss R as a language, a medium of communication between you and the computer, and you and other programmers.

Communication is easiest if you have a shared vocabulary and common grammar. To that end, I’ll discuss some of my work which builds common idioms not just within a package, but across many packages.

Lecture commences at 6.30pm, MLT1 Lecture Theatre, Ground Floor, Building 303, 38 Princes Street.

Please join us for refreshments from 6pm in the foyer area of Building 302, 23 Symonds Street.

 

Biography:

Hadley Wickham is Chief Scientist at RStudio. It is difficult to over-emphasise the impact that Hadley’s work has had on modern statistics and computing. As well as being a prolific author, Hadley builds tools (computational and cognitive) that make data science easier, faster and more fun.

 

Find out more information on the Ihaka Lecture Series 2017.

 

If you cannot attend the lecture, you can watch it live on Wednesday 8 March from 6.30pm at the link below: