Plot projection of reconstructed dataset

Share:

Description

Plot projection of reconstructed dataset

Usage

1
2
3
4
5
6
7
## S3 method for class 'reconstructedDataset'
projection(r, transform = identity.transform,
  axisdir = cbind(phi = 90, lambda = 0), projection = azimuthal.equalarea,
  proj.centre = cbind(phi = 0, lambda = 0), lambdalim = c(-180, 180),
  datapoints = TRUE, datapoint.means = TRUE, datapoint.contours = TRUE,
  grouped = FALSE, grouped.contours = FALSE, landmarks = TRUE,
  ids = getIDs(r), ...)

Arguments

r

ReconstructedDataset object

transform

Transform function to apply to spherical coordinates before rotation

axisdir

Direction of axis (North pole) of sphere in external space

projection

Projection in which to display object, e.g. azimuthal.equalarea or sinusoidal

proj.centre

Location of centre of projection as matrix with column names phi (elevation) and lambda (longitude).

lambdalim

Limits of longitude (in degrees) to display

datapoints

If TRUE, display data points

datapoint.means

If TRUE, display Karcher mean of data points.

datapoint.contours

If TRUE, display contours around the data points generated using Kernel Density Estimation.

grouped

If TRUE, dipslay grouped data.

grouped.contours

If TRUE, display contours around the grouped data generated using Kernel Regression.

landmarks

If TRUE, dipslay landmarks.

ids

IDs of groups of data within a dataset, returned using getIDs.

...

Graphical parameters to pass to plotting functions

Author(s)

David Sterratt

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.