tf_morlet: Perform Morlet time-frequency analysis
In neuroconductor-devel-releases/eegUtils: A collection of utilities for EEG analysis
View source: R/frequency_analysis.R
Description
Internal function for performing Morlet wavelet transforms using convolution
in frequency domain
Usage
1
Arguments
data
Data in eeg_epochs format.
foi
Frequencies of interest. Scalar or character vector of the lowest
and highest frequency to resolve.
n_freq
Number of frequencies to be resolved.
n_cycles
Number of cycles at each frequency.
keep_trials
Keep single trials or average over them before returning.
output
Sets whether output is power, phase, or fourier coefficients.
downsample
Downsampling factor (integer)
neuroconductor-devel-releases/eegUtils documentation built on May 5, 2020, 3:49 a.m.
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View source: R/frequency_analysis.R
Description
Internal function for performing Morlet wavelet transforms using convolution in frequency domain
Usage
1 |
Arguments
data |
Data in |
foi |
Frequencies of interest. Scalar or character vector of the lowest and highest frequency to resolve. |
n_freq |
Number of frequencies to be resolved. |
n_cycles |
Number of cycles at each frequency. |
keep_trials |
Keep single trials or average over them before returning. |
output |
Sets whether output is power, phase, or fourier coefficients. |
downsample |
Downsampling factor (integer) |
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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