preproc: Optional preprocessing step for regressing out noise...
In mgampe/detectR: Change Point Detection
Description
Usage
Arguments
Value
Description
This function saves the residuals after regressing the user-defined
noise variables from the user-defined "signal" variables. Noise variables can
be nuisance regressors (such as cebral spinal fluid in fMRI), time vectors,
or any other vector that the user wishes to regress out.
Usage
1
preproc(Y, noise, signal)
Arguments
Y
data: Y = length*dim
noise
string vector indicating which variables (columns) are regressors
signal
string vector indicating which variables to regress out the noise variables from
Value
signalmatrix
mgampe/detectR documentation built on Feb. 18, 2021, 2:23 a.m.
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Description Usage Arguments Value
Description
This function saves the residuals after regressing the user-defined noise variables from the user-defined "signal" variables. Noise variables can be nuisance regressors (such as cebral spinal fluid in fMRI), time vectors, or any other vector that the user wishes to regress out.
Usage
1 | preproc(Y, noise, signal)
|
Arguments
Y |
data: Y = length*dim |
noise |
string vector indicating which variables (columns) are regressors |
signal |
string vector indicating which variables to regress out the noise variables from |
Value
signalmatrix
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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