ajstewartlang
Professor of Cognitive Science, University of Manchester. Fellow of the Software Sustainability Institute.
University of ManchesterManchester, UK
Pinned Repositories
Affective-Theory-of-Mind-Inferences
R code and data for Stewart, S.L.K., Schepman, A., Haigh, M., McHugh, R., & Stewart, A.J. (2019). Affective theory of mind inferences contextually influence the recognition of emotional facial expressions. Cognition & Emotion, 33, 272-287.
ajstewartlang.github.io
It-s-hard-to-write-a-good-article
R code and data for Stewart, A.J., Wood, J.S., Le-luan, E., Yao, B., & Haigh, M. (2018). “It’s hard to write a good article.” The online comprehension of excuses as indirect replies. Quarterly Journal of Experimental Psychology, 71, 1265-1269.
Keele_R_Course
Keele R Course 2018
MRes_BIOL63101
Website fo BIOL63101 Advanced Data Skills, Open Research, and Reproducibility Unit
MSci_Reproducible_Data_Science
Content for 2019/20 Semester 1 MSci Reproducible Data Science unit (BIOL33031)
open_intro_to_python
Open course on introduction to Python for Psychologists
r_open_research_reproducibility
SIPS_presentation
SIPS workshop on R, data viz, and Binder
ajstewartlang's Repositories
ajstewartlang/ajstewartlang.github.io
ajstewartlang/01_open_research_and_reproducibility
Workshop on Open Research and Reproducibility
ajstewartlang/09_glm_regression_pt1
ajstewartlang/MRes_BIOL63101
Website fo BIOL63101 Advanced Data Skills, Open Research, and Reproducibility Unit
ajstewartlang/open_intro_to_python
Open course on introduction to Python for Psychologists
ajstewartlang/r_open_research_reproducibility
ajstewartlang/12_glm_anova_pt2
https://ajstewartlang.github.io/12_glm_anova_pt2/knitted_workshop/12_glm_anova_pt2
ajstewartlang/23_introduction_to_binder
ajstewartlang/99_establishing_your_digital_presence
ajstewartlang/ASC_small
ajstewartlang/ausdex
A Python package for adjusting Australian dollars for inflation
ajstewartlang/BCEA
Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
ajstewartlang/cc_by_images
ajstewartlang/dalle-mini
DALL·E Mini - Generate images from a text prompt
ajstewartlang/demo_binder
ajstewartlang/dump1090
Dump1090 is a simple Mode S decoder for RTLSDR devices
ajstewartlang/flight_tracker
ajstewartlang/glottospace
Geospatial analysis of linguistic data
ajstewartlang/MRes_BIOL63112
ajstewartlang/MSci_BIOL33031
ajstewartlang/old_r_example
ajstewartlang/paul_r_course_day_one
ajstewartlang/paul_r_course_day_one_pre_workshop
ajstewartlang/paul_r_course_day_two
ajstewartlang/pytket
Python module for interfacing with CQC's core TKET library
ajstewartlang/size_and_scatterplots
live working repo for the IEEE vis 23 submission
ajstewartlang/size_opacity_and_scatterplots
Repo for CHI 2024 Paper
ajstewartlang/ukrn_otrp
This is the UK Reproducibility Network's Open and Transparent Research Practices survey analysis tool.
ajstewartlang/Visualisation_Project
ajstewartlang/website
my_website