Building an R package

Date:

28/03/2017

Organised by:

Jumping Rivers ltd

Presenter:

Dr Colin Gillespie/Dr Jamie Owen

Level:

Intermediate (some prior knowledge)

Contact:

Esther Gillespie, esther@jumpingrivers.com, 07740285328

Map:

View in Google Maps  (WC1E 7HU)

Venue:

University of London, Senate House, University of London, Malet St, London WC1E 7HU

Description:

London at University of London Senate House - This is a one day intensive course on building an package. This course will be a mixture of lectures and computer practicals. The main focus will be getting a working R package ready for distribution. It is assumed that all applicants have a basic knowledge of R.

COURSE OUTLINE:

Participants can bring their own code or they can use the provided example code to write a fully functional R package.

  • Why create an R package.
  • What is in an R package.
  • Writing documentation with roxygen2.
  • Creating packages with RStudio.
  • Distributing your package.

Participants will need to bring their own laptop.

COURSE STRUCTURE

This course will be structured as follows:

  • 9:00 – 9:30 Registration and coffee
  • 9:30 – 12:15: Lecture & practical session
  • 12:15 – 1:15 Lunch (not provided)
  • 1:15 – 2:40 Lecture & practical
  • 2:40 – 3:00: Coffee break
  • 3:00 – 4:30: Practical session

These times are intended to give a flavour of how the course is run and are subject to change.

Cost:

£450 + Vat (25% discount to academics & charity)

Website and registration:

Region:

Greater London

Keywords:

Secondary Analysis, Digital Social Research, Mixed Methods, Data Collection (other), Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, ICT and Software, R, Research Skills, Communication and Dissemination, Data Visualisation, Creating graphs and charts, Interactive data visualisation, Workshops, Training research methods teachers

Related publications and presentations:

Secondary Analysis
Digital Social Research
Mixed Methods
Data Collection (other)
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
ICT and Software
R
Research Skills, Communication and Dissemination
Data Visualisation
Creating graphs and charts
Interactive data visualisation
Workshops
Training research methods teachers

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