plot_psd: Plot Power Spectral Density
In kusumikakd/EEG: A collection of utilities for EEG analysis

Description Usage Arguments Details Methods (by class) Author(s) Examples

Calculate and plot the PSD for eeg_* objects. Output units are dB. The PSD is calculated using Welch's method.

plot_psd(data, freq_range = NULL, ...)

## S3 method for class 'eeg_epochs'
plot_psd(
  data,
  freq_range = NULL,
  n_fft = 256,
  seg_length = NULL,
  noverlap = NULL,
  ...
)

## S3 method for class 'eeg_data'
plot_psd(
  data,
  freq_range = NULL,
  n_fft = 2048,
  noverlap = NULL,
  seg_length = NULL,
  ...
)

## S3 method for class 'eeg_ICA'
plot_psd(
  data,
  freq_range = NULL,
  components = NULL,
  seg_length = NULL,
  noverlap = NULL,
  n_fft = 256,
  ...
)

## S3 method for class 'data.frame'
plot_psd(data, freq_range = NULL, ...)

## S3 method for class 'eeg_evoked'
plot_psd(
  data,
  freq_range = NULL,
  n_fft = 256,
  seg_length = NULL,
  noverlap = NULL,
  ...
)

`data`	Object of class `eeg_epochs`, `eeg_data`, or `eeg_ICA`.
`freq_range`	Vector of lower and upper frequencies to plot. (e.g. c(1, 40))
`...`	Additional parameters.
`n_fft`	Number of points to use for the underlying FFTs. Defaults to 256 for `eeg_epochs` or minimum of 2048 or the signal length for `eeg_data`.
`seg_length`	Length of individual segments. Defaults to n_fft. Must be <= n_fft.
`noverlap`	Amount of overlap between segments, in sampling points. Defaults to 50%.
`components`	Which components to compute the PSD for. Defaults to all.

Welch's method splits the data into multiple segments and then averages over those segments. For epoched data, Welch's FFT is calculated separately for each trial.

Specific parameters such as the number of FFT points and the amount of overlap between segments can be passed to Welch's FFT