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Analysis using codes: example 2
Using iMap4, we created the single-trial 2D fixation duration map and smoothed at 1° of visual angle. Importantly, to keep in line with Miellet, et al (2012), spatial normalization was performed by Z-scoring the fixation map across all pixels independently for each trial (the result is identical without spatial normalization in this example). We also applied a mask generated with the default option. No down sampling was performed. We then applied a full model on the single-trial fixation duration map made used of the “single-trial” option in iMap4:
Pixel_Intensity ~ Observer culture + Blindspot size + Observer culture * Blindspot size + (1 | subject)
Only the predictor of subject was treated as random effects and the model was fitted with maximum likelihood estimation (ML).
This wiki is adapted from the original iMap4 guidebook.
If you have any questions about the iMap4 usage, please email [email protected]
Getting started
Theory
- Linear Mixed Models
- Pixel Wise Modeling and non-parametric statistics
- Family-wise error rate (FWER) under H0
- Power analysis of iMap4
Data structures and function usage
- Core functions
- Input Matrix
- LMMmap
- StatMap, Posthoc and figure outputs
- Other useful features and function
Example 1 (GUI)
- Background of Example 1
- Using the GUI (1): Import Data and label columns
- Using the GUI (2): Parameters and Conditions
- Using the GUI (3): Create smoothed fixation matrix
- Using the GUI (4): Optional for preprocessing
- Using the GUI (5): Descriptive Statistics Report
- Using the GUI (6): Spatial Mapping Using Linear Mixed Models
- Using the GUI (7): Hypothesis testing and Display results
- Using the GUI (8): Post-hoc analysis
Example 2 (Code)
Example 3 (Code)
Example 4 (Code)
Future development
Additional information