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Using the GUI (5): Descriptive Statistics Report
Before proceeding to Linear Mixed Model, you can get a sense of your dataset by visualizing the descriptive statistics.
For each of the categorical condition, iMap4 output the mean fixation map for each level. Descriptive statistics for the following eye movement measurements will be plot in a histogram or boxplot:
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Number of fixations
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Sum of fixation duration (Total viewing time)
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Mean fixation duration
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Total path length (total eye movement path length in pixel)
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Mean path length
Moreover, you can save the descriptive statistics for all possible combinations of a set of selected conditions.
The output figures including the following:
Numeral output and description of the figure could be found in a text file “Info_*.txt”. You could find all the saved figure and information under folder ‘./Descriptive_STAT’ and its subfolders. Further statistical analysis on these eye movement measurements could be performed by loading the DescriptvM matrix.
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