generateCINoise: Generate classification image noise pattern based on set of...
In rcicr: Reverse-Correlation Image-Classification Toolbox
Description
Usage
Arguments
Value
Description
Generate classification image noise pattern based on set of stimuli (matrix: trials, parameters), responses (vector), and sinusoid
Usage
1
generateCINoise(stimuli, responses, p)
Arguments
stimuli
Matrix with one row per trial, each row containing the 4092 parameters for the original stimulus
responses
Vector containing the response to each trial (1 if participant selected original , -1 if participant selected inverted;
this can be changed into a scale)
p
3D patch matrix (generated using generateNoisePattern())
Value
The classification image as pixel matrix
rcicr documentation built on May 2, 2019, 5:24 p.m.
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Description Usage Arguments Value
Description
Generate classification image noise pattern based on set of stimuli (matrix: trials, parameters), responses (vector), and sinusoid
Usage
1 | generateCINoise(stimuli, responses, p)
|
Arguments
stimuli |
Matrix with one row per trial, each row containing the 4092 parameters for the original stimulus |
responses |
Vector containing the response to each trial (1 if participant selected original , -1 if participant selected inverted; this can be changed into a scale) |
p |
3D patch matrix (generated using |
Value
The classification image as pixel matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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