statistical analysis and data: How personality shapes gaze behavior without compromising subtle emotion recognition.

CODE:
script_gca_X.R: scripts used for the growth curve analysis fits
script_fits_brms_no_tb.r: script containing the fits (except those related to the crowth curve analysis).
inpact_script_contrasts.r: contrasts of every fits (call inpact_script_plot.r and inpact_script_save.r)
inpact_script_plot.r: plots
inpact_script_save: save contrasts to csv and xlsx files

DATA:
cluster_df.Rda: personality 
neutral.Rda: neutral trials
sdtg.Rda: signal detection theory parameters
resp_emo.Rda : raw data to emotional trials
df_et4_propn.Rda: eye tracking data, first exposure phase of the emotional trials (0-1000ms)
df_et4_prop.Rda: eye tracking data, second exposure phase of the emotional trials (1000-2000ms)
df_n4_propn.Rda: eye tracking data, first exposure phase of the neutral trials (0-1000ms)
df_n4_prop.Rda: eye tracking data, second exposure phase of the neutral trials (1000-2000ms)

gca_e_contrast.Rda: contrasts of the growth curve analysis fit for the eye Area of Interest (AOI)
gca_n_contrast.Rda: contrasts of the growth curve analysis fit for the nose AOI
gca_m_contrast.Rda: contrasts of the growth curve analysis fit for the mouth AOI

X.rds: fits


STIMULI:
- videos of the neutral and emotional facial expressions
- backward masks