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StatMap, Posthoc and figure outputs
A Matlab structure outputed from imapLMMcontrast or imapLMMmcc. It contains the following fields:
{opt}
Matlab structure, carries information about the statistical values
- opt.type - model/fixed/random/model beta/predictor beta
- opt.alpha - default 0.05
- opt.c - for coefficients and Catepredictors only, cell array containing contrast vector/matrix
- opt.h - for coefficients and Catepredictors only, cell array containing hypothesis vector/matrix
- opt.onetail - option to do onetail test, perform on two tail threshold for convenience (alpha/2)
- opt.name - for coefficients and Catepredictors only, name of each contrast (for plotting)
{Pmap}
P-value map of the preformed linear contrast, not applied when opt.type=model.
{Pmask}
Statistical significant map of the preformed linear contrast, not applied when opt.type=model.
{F/Tmap}
Statistical value map of the preformed linear contrast, not applied when opt.type=model.
{betamap(optional)}
Beta value map of the preformed linear contrast, only applied when the linear contrast is a vector (i.e., Rank=1)
{labels of the maps}
Names of different linear contrasts.
A Matlab structure outputed from imapLMMposthoc. It contains the following fields:
{SelectCluster} A binary map of the data-driven ROI
{DF} degrees of freedom
{beta} A square matrix of all possible pair-wise contrast for Categorical predictors.
{Tval} Statistics (t-value) of the above contrast.
{pval} Statistics (p-value) of the above contrast.
All output from imapLMMdisplay are saved automatically as .eps files. Other format could be saved manually as the figures will remain open.
Figure output from descriptive_part are saved as .png files.
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