Man pages for dmirman-zz/gazer
Tools for Processing Eye Tracking Data
| assign_aoi | Assign coordinates to areas of interest |
| baseline_correction_pupil | Performs linear (substraction) baseline correction relative... |
| behave_pupil | culls important behavioral data from the sample report |
| binify_fixations | Convert fixation list into time bins |
| calc_mad | calculates the median absoulte deviation (MAD) and sets the... |
| code_poly | Build polynomial predictor variables |
| CohortRhyme | Cohort and rhyme competition during spoken word recognition |
| compare_groups | Compare groups on a set of variables. |
| count_missing_pupil | Calculate percent missing data by subject and by trial |
| Crawford_Howell | Crawford-Howell (1998) t-test for case-control comparisons. |
| cursive_new | Judgments to cursive vs. type-print words in LDT |
| downsample_pupil | Downsample pupil data |
| extend_blinks | Extends blinks if not already done in SR Data Viewer |
| FunctTheme | Fixation of semantically related objects during spoken word... |
| FunctThemePts | Fixation of semantically related objects during spoken word... |
| gazer | Tools for Processing Eye Tracking Data |
| get_gaze_diagnostics | Calculate gaze track diagnostics |
| get_pvalues | Get p-values for a multilevel regression model |
| get_ranef | Get random effects for individual effect size quantification |
| hanning_filter | Perfroms hanning smoothing on pupil data |
| interpolate_pupil | Turns pupil sizes with blinks NA and linearly interpolates... |
| legend_positioning | Set legend position |
| merge_pupil | Merge pupil files from a folder |
| moving_average_pupil | Moving average function |
| NamingRecovery | Picture naming during aphasia treatment |
| onset_pupil | Zero Time Index to Event Onset |
| read_fixation_report | Read EyeDataViewer fixation report |
| speed_pupil | Calculates max absoulte dilation speed as suggested in Kret &... |
| TargetFix | Target fixation data from a typical "visual world paradigm"... |
| WordLearnEx | Effect of transitional probability on novel word learning |
