View source: R/plotMeanGamma-2.R
plot2 | R Documentation |
This function can be used to visualize the mean probability of response – that is, the probability that there is a difference in response between samples subjected to the 'treatment' condition, and samples subjected to the 'control' condition.
plot2(
x,
y,
subset,
threshold = 0.01,
minimum_dof = 1,
maximum_dof = Inf,
must_express = NULL,
row_annotation = NULL,
palette = NA,
show_rownames = FALSE,
show_colnames = FALSE,
...
)
x |
An object of class |
y |
An object of class |
subset |
An R expression, evaluated within the metadata, used to determine which individuals should be kept. |
threshold |
A numeric threshold for filtering under-expressed
categories. Any categories with mean score < |
minimum_dof |
The minimum degree of functionality for the categories to be plotted. |
maximum_dof |
The maximum degree of functionality for the categories to be plotted. |
must_express |
A character vector of markers that should be included
in each subset plotted. For example, |
row_annotation |
A vector of names, pulled from the metadata, to be used for row annotation. |
palette |
The colour palette to be used. |
show_rownames |
Boolean; if |
show_colnames |
Boolean; if |
... |
Optional arguments passed to |
The plot as a grid
object (grob
). It can be redrawn
with e.g. grid::grid.draw()
.
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