plot.fpca: Plot the results of a functional PCA
In julia-wrobel/registr: Curve Registration for Exponential Family Functional Data

Description Usage Arguments Value Author(s) Examples

S3 plot method for class fpca. Plot FPCA results by visualizing the variation of the individual FPCs around the global mean. based on an object created with function fpca_gauss, bfpca or gfpca_twoStep.

The shares of explained variance are included in the plot titles if x contains an element evalues_sum.

## S3 method for class 'fpca'
plot(
  x,
  plot_FPCs = 1:x$npc,
  sd_factor = 2,
  response_function = NULL,
  add_symbols = TRUE,
  subtitle = TRUE,
  xlim = NULL,
  ylim = NULL,
  xlab = "t [registered]",
  ylab = "y",
  ...
)

`x`	Object of class `"fpca"`.
`plot_FPCs`	Optional index vector of the FPCs to be plotted. Defaults to all FPCs contained in `x`.
`sd_factor`	Numeric factor with which the standard deviations of each FPC's scores are multiplied to display its variation in the plots. Defaults to 2.
`response_function`	Optional response function to be applied before plotting the curves. Defaults to `NULL`, i.e. the identity function if `x$family` is one of `c("gaussian","binomial")` or `exp()` if `x$family` is one of `c("gamma","poisson")`.
`add_symbols`	Indicator if '+' and '-' symbols should be added to the plot to highlight the direction of the displayed FPCs. Defaults to TRUE.
`subtitle`	If TRUE (default) the parameter `sd_factor` is displayed in the plot subtitle.
`xlim, ylim`	Optional numeric vectors with limits for the x and y axis.
`xlab, ylab`	Optional titles for the x and y axis.
`...`	Additional arguments passed to `theme`.

@return If multiple FPCs are plotted, returns a grid of ggplot plots, created with cowplot::plot_grid. If only one FPC is plotted, returns a single ggplot plot.

Alexander Bauer alexander.bauer@stat.uni-muenchen.de

data(growth_incomplete)

fpca_obj = fpca_gauss(Y = growth_incomplete, npc = 2)
if (requireNamespace("ggplot2", quietly = TRUE) &&
requireNamespace("cowplot", quietly = TRUE)) {
library(ggplot2)
plot(fpca_obj)
}