Dealing with ordinal data

  • Dealing with ordinal data
  • A description of why ordinal regressions are useful and how to use them.
  • Code for producing useful visualisations of ordinal data.

Statistics for Linguists with R

Data Viz/Analysis Workshop

  • Data Viz/Analysis Workshop
  • “Visualisation and analysis of linguistic data, using R”
  • University of Leeds, 28 February 2019.
  • Blank workbook to be filled out during the workshop.
  • Event website

RfficeHours

  • RfficeHours
  • Information about my drop-in R seminars, being trialed in September 2018.

Adventures in R

Setting up RStudio

  • Setting up RStudio
  • A very introductory description of how to get RStudio set up in advance of a tutorial or workshop.

Reporting statistics in prose

  • Reporting statistics in prose
  • A tutorial on how to find the numbers one typically needs to report when conducting certain statistical tests.
  • Includes examples of wording for writing about statistical tests in academic prose.

Using and graphing prop.test()

  • Using and graphing prop.test()
  • Some quick snippets and instructions for performing 1-sample proportions tests.
  • Base graphics code for producing stacked proportions bar charts with error bars (CI 95%).

Processing Ibex Farm output

Eye-tracking workflow

  • Eye-tracking workflow
  • Documentation for how to take .EDF files exported from EyeTrack and turn them into an analyzable dataset
  • Includes workflow for using:
    1. fix_align_v0p92.R
    2. Robodoc.py and associated scripts
    3. SideEye (beta)
    4. Failed attempts and depricated code

Just for fun

• Snail races

  • A quick and dirty analysis of how people respond to Twitter “snail races”.
  • Can be used to compensate for order effects in 4-point multiple choice questions (MCQs).

• Blaseball datacrimes

• Life in the UK timeline

  • A supplementary study guide to visualise the order in which events took place.
  • Based on the Official Life in the UK Test handbook.