inst/doc/multiblock-profiles-and-external-validity.R

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = FALSE)
library(eyeprocess)

## -----------------------------------------------------------------------------
# blocks <- process_feature_blocks(
#   person_data,
#   blocks = list(
#     Psychometric = c("theta_hat", "mean_accuracy"),
#     Gaze = c("mean_rt_ms", "mean_dwell_ms", "mean_revisits", "mean_aoi_entropy"),
#     Pupil = c("mean_pupil_peak", "mean_pupil_auc"),
#     Quality = c("mean_valid_gaze_prop", "mean_valid_pupil_prop")
#   ),
#   id = "person_id"
# )
# 
# mfa <- fit_multiblock_process_map(blocks)
# multiblock_person_coordinates(mfa)
# multiblock_variable_coordinates(mfa)
# multiblock_contributions(mfa)
# plot(mfa, type = "individuals")
# plot(mfa, type = "variables")

## -----------------------------------------------------------------------------
# profiles <- fit_process_profile_mixture(
#   person_data,
#   variables = c("mean_dwell_ms", "mean_pupil_peak", "mean_aoi_entropy", "mean_revisits"),
#   k = 3
# )
# process_profile_summary(profiles)
# process_profile_probabilities(profiles)
# plot(profiles, type = "profiles")

## -----------------------------------------------------------------------------
# valid <- audit_process_external_validity(
#   person_data,
#   criterion = "independent_task_score",
#   predictors = c("theta_hat", "mean_pupil_peak", "mean_dwell_ms", "mean_aoi_entropy"),
#   baseline_predictors = c("age")
# )
# 
# process_criterion_associations(valid)
# incremental_process_validity(valid)
# plot(valid, type = "associations")
# plot(valid, type = "incremental")