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Other useful features and function
The following functions could be called as standalone function, we find them quite useful in some occasions.
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iMap4/imap_utilities/rdmfixmap.mIt computes the representational dissimilarity matrix of smoothed fixation map basic on Mahalanobis distance.
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iMap4/imap_utilities/imsqrmat.mPublication ready figure output of square/nearly square matrix.
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iMap4/imap_utilities/CategoricalName.mIt extracts the catigorical predictors from model betas
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iMap4/imap_utilities/CIforFixed.mIt outputs the 95% Confidence intervel map. If bootstrap spatial clustering is applied as statistics it also output bootstrapped 95% CI.
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iMap4/GUI/descriptive_part.mIt outputs the descriptive result.
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