lyman.glm.condition_to_regressors¶
-
lyman.glm.condition_to_regressors(name, condition, hrf_model, n_tp, tr, res, shift)[source]¶ Generate design matrix columns from information about event occurrence.
- Parameters
- namestring
Condition name.
- conditiondataframe
Event information corresponding to a single condition. Must have onset (in seconds), duration (in seconds), and value (in arbitrary units) columns; and should correspond to event occurrences.
- hrf_modelHRFModel object
Object that implements .transform() to return a basis set for the predicted response.
- n_tpint
Number of time points in the final output.
- trfloat
Time resolution of the output regressor, in seconds.
- resfloat
Sampling resolution at which to construct the regressor and perform convolution with the HRF model.
- shiftfloat
Proportion of the TR to shift the predicted response when downsampling to the output resolution.
- Returns
- regressorscolumn(s)
One or more output regressors that will form columns in the design matrix corresponding to this event type.