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Using the GUI (2): Parameters and Conditions
You need to specify the following parameters:
Screen resolution in your experiment (x and y), in the current example is 1280×1024.
The resolution of the presented stimuli during experiment (in pixel), here is also 1280×1024.
Screen size in centimeters, in this case 37×30 cm.
Participant distance to the screen (83 cm).
The parameters are mandatory to be filled before proceeding.Please note: the fixation X and Y from your input file should be a relative fixation location in reference with the stimuli. See below as an example.
First specify the columns that refer to Subject, Trial, fixation X, Y and Duration.
iMap4 will then ask for the predictors you would like to include in the modeling (your experiment conditions – fixed effects, and random covariance you would like to control – random effects). The selected variables will be saved in PredictorM.mat as one of the output files.
Please note: verify carefully whether you would like to treat your predictors as continuous (e.g., subjective rating) or categorical (e.g., gender). By default, the type of predictor is set to categorical if it has less than 5 levels.
A pop-up window will appear for you to specify the fixation map type (the value on the map represents either fixation durations or fixation numbers). Moreover, you could include or exclude specific fixation (e.g., exclude the first fixation).
Now you can proceed to the next step in the GUI: Smoothing Methods
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