plot.cytoeffect_poisson_mcle: Plot point estimates for MCLE fit

In ChristofSeiler/cytoeffect: Regression Models with Multivariate Outcomes for Mass Cytometry Experiments

Plot point estimates for MCLE fit

Description

Plot point estimates for MCLE fit

Usage

## S3 method for class 'cytoeffect_poisson_mcle'
plot(x, type = "beta", selection = x$protein_names, ...)

Arguments

x	Object of class cytoeffect_poisson computed using poisson_lognormal
type	A string with the parameter to plot: type = "beta", type = "sigma", or type = "Cor"
selection	A vector of strings with a selection of protein names to plot
...	Other parameters

Value

ggplot2 object

Examples

set.seed(1)
df = simulate_data(n_cells = 10)
str(df)
fit = poisson_lognormal_mcle(df,
                             protein_names = names(df)[3:ncol(df)],
                             condition = "condition",
                             group = "donor",
                             ncores = 1)
plot(fit, type = "beta")

ChristofSeiler/cytoeffect documentation built on Jan. 11, 2023, 1:05 p.m.