interpretation_plot — interpretation

Provide a graphical representation of the functional data with a focus on the detected periods with the Bliss method.

interpretation_plot(data, Bliss_estimate, q = 1, centered = FALSE, cols = NULL)

Arguments

data

a list containing:

y: a numerical vector, the outcomes.
x: a list of matrices, the qth matrix contains the observations of the qth functional covariate at time points given by grids.
grids: a list of numerical vectors, the qth vector is the grid of time points for the qth functional covariate.

Bliss_estimate

a numerical vector, the Bliss estimate.

q

an integer (optional), the index of the functional covariate to plot.

centered

a logical value (optional), If TRUE, the functional data are centered.

cols

a numerical vector of colours (optional).

Examples

data(data1)
data(param1)
# result of res_bliss1 <- fit_Bliss(data=data1,param=param1,verbose=TRUE)
data(res_bliss1)
interpretation_plot(data=data1,Bliss_estimate=res_bliss1$Bliss_estimate,q=1)

interpretation_plot(data=data1,Bliss_estimate=res_bliss1$Bliss_estimate,q=1,centered=TRUE)