View source: R/helperfunctions_plots.R
fpc_plot_helper | R Documentation |
This function gives as an output the data set necessary to plot the eigenfunctions. It is meant to be general enough to also include more than two dimensions.
fpc_plot_helper(model, mcomp, component, dimlabels, two_d = FALSE,
multi = TRUE, m_fac = 2)
model |
The multifamm model from which to extract the estimates. |
mcomp |
The extracted model components as given by the internal function extract_components(). |
component |
Which FPC component to extract. Possible values ("B", "C", "E") |
dimlabels |
The dimensions of the model. |
two_d |
Is a two dimensional representation (e.g. x and y coordinate) a better representation for the data. Defaults to FALSE (one variable). |
multi |
Is the model a multifamm or a sparseFLMM model. Defaults to TRUE (multifamm model). |
m_fac |
Multiplication factor to represent the difference from the overall mean. |
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