plot.depthgram: Specialized method to plot 'depthgram' objects
In roahd: Robust Analysis of High Dimensional Data

Description Usage Arguments Value References Examples

This function plots the three 'DepthGram' representations from the output of the depthgram function.

## S3 method for class 'depthgram'
plot(
  x,
  limits = FALSE,
  ids = NULL,
  print = FALSE,
  plot_title = "",
  shorten = TRUE,
  col = NULL,
  pch = 19,
  sp = 2,
  st = 4,
  sa = 10,
  text_labels = "",
  ...
)

`x`	An object of class `depthgram` as output by the `depthgram` function.
`limits`	A boolean specifying whether the empirical limits for outlier detection should be drawn. Defaults to `FALSE`.
`ids`	A character vector specifying labels for individual observations. Defaults to `NULL`, in which case observations will named by their id number in order of appearance.
`print`	A boolean specifying whether the graphical output should be optimized for printed version. Defaults to `FALSE`.
`plot_title`	A character string specifying the main title for the plot. Defaults to `""`, which means no title.
`shorten`	A boolean specifying whether labels must be shorten to 15 characters. Defaults to `TRUE`.
`col`	Color palette used for the plot. Defaults to `NULL`, in which case a default palette produced by the `hcl` function is used.
`pch`	Point shape. See `plotly` for more details. Defaults to `19`.
`sp`	Point size. See `plotly` for more details. Defaults to `2`.
`st`	Label size. See `plotly` for more details. Defaults to `4`.
`sa`	Axis title sizes. See `plotly` for more details. Defaults to `10`.
`text_labels`	A character vector specifying the labels for the individuals. It is overridden if `limits = TRUE`, for which only outliers labels are shown. See `plotly` for more details. Defaults to `""`.
`...`	Other arguments to be passed to the base `plot` function. Unused.

A list with the following items:

p: list with all the interactive (plotly) depthGram plots;
out: outliers detected;
colors: used colors for plotting.

Aleman-Gomez, Y., Arribas-Gil, A., Desco, M. Elias-Fernandez, A., and Romo, J. (2021). "Depthgram: Visualizing Outliers in High Dimensional Functional Data with application to Task fMRI data exploration".

N <- 50
P <- 50
grid <- seq(0, 1, length.out = P)
Cov <- exp_cov_function(grid, alpha = 0.3, beta = 0.4)

Data <- list()
Data[[1]] <- generate_gauss_fdata(
  N,
  centerline = sin(2 * pi * grid),
  Cov = Cov
)
Data[[2]] <- generate_gauss_fdata(
  N,
  centerline = sin(2 * pi * grid),
  Cov = Cov
)
names <- paste0("id_", 1:nrow(Data[[1]]))
DG <- depthgram(Data, marginal_outliers = TRUE, ids = names)
plot(DG)