Transform EDA Data

Applies a mathematical transformation to EDA signal data. Common transformations include log and square root (to reduce skewness of SCR amplitudes), z-score standardization, and range normalization. Transformation parameters are stored in metadata so that edaUntransform can reverse the operation.

Usage

edaTransform(
  x,
  method = c("log", "sqrt", "zscore", "range"),
  assay_name = NULL,
  output_assay = NULL
)

Arguments

x

A PhysioExperiment object containing EDA data.

method

Transformation method: "log", "sqrt", "zscore", or "range".

assay_name

Name of the input assay. If NULL, uses defaultAssay(x).

output_assay

Name for the output assay. If NULL, defaults to "{method}_transformed".

Value

A modified PhysioExperiment with the transformed assay added and transformation parameters stored in metadata(x)$eda_transform.

References

Boucsein, W. (2012). Electrodermal Activity. 2nd ed. Springer. doi:10.1007/978-1-4614-1126-0

See also

edaUntransform for reversing the transformation, edaFeatures for feature extraction, edaDecompose for tonic/phasic decomposition