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Installation and running the GUI
iMap4 requires Matlab 2013b (version 8.2) or above with the Image Processing Toolbox and the Statistics Toolbox. If your Matlab environment is equipped with the Parallel Computing Toolbox, some function will launch in parallel to speed up the computation.
To installation iMap4, simply unzip the .zip file, direct to ./Matlab_Installation_Package and double click the iMap4.mlappinstall. Or you can download iMap4.mlappinstall directly.
iMap 4 is then installed on your Matlab software as an application. You can now click on the Apps tab on Matlab main window to locate the app. You can also find the content of iMap4 under your default Matlab search path: ./MATLAB/Apps/iMap4
Launch iMap4 GUI simply by clicking the app or type >>iMAP in your command window
You can click on the ? to open this wiki
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