Plot all (three) fingerprints of reduced time-series
Source:R/plot_fingerprints.R
plot_fingerprints.RdThis function is under active development. It is meant to depict the three eigenvectors/loadings/weights of components obtained by reducing pupillary time-series, as to ease interpretation. Note that the components and their names are re-ordered according to their explained variance by default, and so are their names, so that results may differ from the original scores. Be mindful!
Usage
plot_fingerprints(data, order = "var", flip = c(1, 1, 1))Arguments
- data
An object as returned by, e.g., 'reduce_PCA'.
- order
A character, defaults to "var" for reordering the fingerprints by their share of explained variance. Else "none" or "peak", to order by latency of the peak value.
- flip
A vector of numbers indicating the component(s) to flip in sign (e.g., c(1,1,-1))