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Fit a linear model to EEG data

Source: R/glm_fitting.R
fit_glm.Rd

Fits a linear model to each timepoint separately for each electrode.

Usage

fit_glm(formula, data, ...)

# S3 method for class 'eeg_epochs'
fit_glm(formula, data, baseline = NULL, ...)

Arguments

formula

An object of class formula. Right-hand side A regression formula for a GLM. See ?formula and notes on use below

data

An eegUtils object.

...

Any other arguments passed to (LM/GLM)

baseline

Numeric vector of length 2 specifying time period to be used as a baseline.

Methods (by class)

  • fit_glm(eeg_epochs): GLM fitting for eeg_epochs

Notes On Usage

The fit_glm function will fit a linear model to each timepoint for each electrode in the input dataset.

The formula is a standard R formula. Specify only the right-hand side of the formula i.e. any predictors.

The function allows flexible fitting of a baseline covariate, recognising the term baseline in the specified formula.

Author

Matt Craddock, matt@mattcraddock.com

Examples

fit_glm(~epoch_labels, demo_spatial)
#> EEG Linear Model
#> 
#> Formula: ~ epoch_labels 
#> 
#> Number of fitted channels	:	 23 
#> Channel names			: Fp1 F3 F7 C3 T7 P3 P7 Oz Pz Fpz Fp2 Fz F4 F8 Cz C4 T8 P4 P8 EXG1 EXG2 EXG3 EXG4 
#> Epoch limits			: -0.301 - 0.488 seconds
fit_glm(~epoch_labels + baseline, demo_spatial, baseline = c(-.1, 0))
#> EEG Linear Model
#> 
#> Formula: ~ epoch_labels + baseline 
#> 
#> Number of fitted channels	:	 23 
#> Channel names			: Fp1 F3 F7 C3 T7 P3 P7 Oz Pz Fpz Fp2 Fz F4 F8 Cz C4 T8 P4 P8 EXG1 EXG2 EXG3 EXG4 
#> Epoch limits			: -0.301 - 0.488 seconds