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Input Matrix
Junpeng Lao edited this page Feb 2, 2016
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Matrix. size -> total number of items × xSize × ySize
Matrix. size -> total number of items × xSize × ySize
It's the smoothed RawMap
Dataset or table. size -> total number of items × number of predictor.
Categorical column must set to nominal
Dataset or table. size -> total number of items × number of predictor.
Categorical column must set to nominal
2D binary matrix. size -> xSize × ySize
Mask==1 are the pixels being modeled.
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