R/heatmaps-taxAnnotation.R
anno_tax_box.Rd
Use this as an argument to taxAnnotation(), which itself is used by cor_heatmap and comp_heatmap as tax_anno argument.
anno_tax_box(
undetected = 0,
only_detected = TRUE,
trans = "compositional",
zero_replace = 0,
use_counts = TRUE,
size = grid::unit(30, "mm"),
border = TRUE,
gp = grid::gpar(fill = "#CCCCCC"),
ylim = NULL,
extend = 0.05,
outline = TRUE,
box_width = 0.6,
pch = 1,
pointsize = grid::unit(0.5, "mm"),
axis = TRUE,
...,
data = NULL,
taxa = NULL,
which = NULL
)
the value above which taxa are classed as detected/present in a sample
only plot values for samples where the taxon abundance is > undetected
name of transformation suitable for tax_transform, or a function calling tax_transform, and/or tax_scale, (a function must take a phyloseq or psExtra, and return one)
zero_replace value for for tax_transform, ignored if trans is a function
try to retrieve counts from data object?
width or height as a grid unit object
Wether draw borders of the annotation region?
Graphic parameters for the boxes. The length of the graphic parameters should be one or the number of observations.
Data ranges.
The extension to both side of ylim
. The value is a percent value corresponding to ylim[2] - ylim[1]
.
Whether draw outline of boxplots?
Relative width of boxes. The value should be smaller than one.
Point style.
size of outlier points, as grid::unit() object
Whether to add axis?
Arguments passed on to ComplexHeatmap::anno_boxplot
axis_param
parameters for controlling axis. See default_axis_param
for all possible settings and default parameters.
OPTIONAL phyloseq or psExtra, only set this to override use of same data as in heatmap
OPTIONAL selection vector of taxa (names, numbers or logical), only set this if providing data argument to override default
OPTIONAL indicating if it is a 'column' or a 'row' annotation, only set this if providing data argument to override default
function or ComplexHeatmap AnnotationFunction object
library("ComplexHeatmap")
data("ibd", package = "microViz")
psq <- tax_filter(ibd, min_prevalence = 5)
psq <- tax_mutate(psq, Species = NULL)
psq <- tax_fix(psq)
psq <- tax_agg(psq, rank = "Family")
taxa <- tax_top(psq, n = 15, rank = "Family")
# makes a function that takes data, taxa and which (at minimum)
fun <- anno_tax_box()
# manually specify the prevalence barplot function by giving it data etc.
heatmapAnnoFunction <- fun(data = psq, which = "column", taxa = taxa)
# draw the barplot without a heatmap, you will never normally do this!
vp <- viewport(width = 0.75, height = 0.75)
grid.newpage()
pushViewport(vp)
draw(heatmapAnnoFunction)
# let's change some style options and specify the data up front
grid::grid.newpage()
pushViewport(vp)
draw(anno_tax_box(
data = psq, taxa = taxa, which = "row", pointsize = grid::unit(1, "mm"),
gp = grid::gpar(fill = "red"), border = FALSE, box_width = 0.2
))
# clear drawings
grid::grid.newpage()