2D clusters plot.

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.

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")