plot_2D: 2D clusters plot.

In caravagn/VIBER: VIBER - Variational Inference for Binomial mixtures

2D clusters plot.

Description

Plot the fit for two dimensions, one against the other. Colour each point (defined as the ratio of sucesses over trail) according to the clustering assignments.

Usage

plot_2D(
  x,
  d1,
  d2,
  cex = 1,
  alpha = 0.3,
  cut_zeroes = TRUE,
  binning_n = NA,
  binning_b = NA,
  downsample = Inf,
  colors = NA,
  bin_params = FALSE
)

Arguments

x	An object of class 'vb_bmm'.
d1	The name of the dimension to plot (x-axis).
d2	The name of the dimension to plot (y-axis).
cex	Cex of the points and the overall plot.
alpha	Alpha of the points.
binning_n	This parameter goes with binning_b. If both NA, no binnig is computed. If an integer value points are binned in a grid of size defined by binning_b, and up to binning_n points are sampled per bin according to each cluster whose points map inside the bin.
binning_b	This parameter goes with binning_n. If both NA, no binning is computed. If a real valuem points are binned in a grid of size binning_b by binning_b.
downsample	Maximun number of points to plot. Default is Inf, no downsampling.
colors	Optional vector of colors, default (NA) are ggplot colors.
bin_params	If TRUE it adds also a point to show the fit Binomial success probabilities.
cut_zeros	If TRUE, remove points that are 0 in both dimensions.

Value

A ggplot object.

Examples

data(fit_mvbmm_example)

# Sample names are "S1" and "S2" for this dataset
plot_2D(fit_mvbmm_example, "S1", "S2")

caravagn/VIBER documentation built on July 16, 2022, 1:23 a.m.