Project proposal for biostats course

lots of stuff to investigate the baseline phase....

draft and messy

Reference for analyses we plan to use for EM6

One of the final iterations of pupil preprocessing for the MC task

This might be, very close to, the final preprocessing steps for EM6

Just a super basic summary of what the pupil is doing during the times of interest for the EM6 pilot

Trying out the toster tests to see if they run AOK

Output for different types of power analyses for EM6

Plan as far as Feb 28 for preprocessing EM6 data, following as closely as possible Mathot's blinkreconstruct() function in Python (https://github.com/open-cogsci/datamatrix/blob/e7c832abd3f91ad0eb74e304333dd75378147bd3/datamatrix/_datamatrix/_blinkreconstruct.py)

INCOMPLETE. This is just helping me organize my thoughts as I go through each section of Mathot's pupil preprocessing code in python. 2/26/25

Most updated version of the preprocessing steps for the ET data in EM6's shopping game, 2/21/25

Raw, blink corrected, interpolated, smoothed, and baseline corrected pupil traces for every participant in the 2024 pilot of EM6's shopping game

2/17/25 overview of the pilot data for the mental calc task. Preprocessing and visualizations explained within

The first preprocessing step for EM6's eyetracking data.

EM6_process_ET_SG

EM6_ET_visualizations_pilot

EM6_pilot_models_ET

The visualization code for mental calculation ET data for the fall 2024 pilot.

Preprocessing the mental calc data from the fall 2024 EM6 pilot

Plottig graphs for the performance data for EM6 pilot

Visualizing ET data from EM6 pilot

Step 2 of preprocessing EM6 pilot eyetracking data

Preprocessing the eyetracking data from the hdf5 files for the EM6 pilot.

Markdown file explaining the preprocessing steps for the performance data of EM6

Slide deck for predictive text shiny app for Coursera!

Milestone for the text prediction capstone!

Leaflet Project Coursera Developing Data Products

Developing Data Products Course Project Presentation

Coursera submission for poject 2 of Reproducible Research