View source: R/heatmaps-taxAnnotation.R
anno_tax_box | R Documentation |
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
)
undetected |
the value above which taxa are classed as detected/present in a sample |
only_detected |
only plot values for samples where the taxon abundance is > undetected |
trans |
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 |
zero_replace value for for tax_transform, ignored if trans is a function |
use_counts |
try to retrieve counts from data object? |
size |
width or height as a grid unit object |
border |
Wether draw borders of the annotation region? |
gp |
Graphic parameters for the boxes. The length of the graphic parameters should be one or the number of observations. |
ylim |
Data ranges. |
extend |
The extension to both side of |
outline |
Whether draw outline of boxplots? |
box_width |
Relative width of boxes. The value should be smaller than one. |
pch |
Point style. |
pointsize |
size of outlier points, as grid::unit() object |
axis |
Whether to add axis? |
... |
Arguments passed on to
|
data |
OPTIONAL phyloseq or psExtra, only set this to override use of same data as in heatmap |
taxa |
OPTIONAL selection vector of taxa (names, numbers or logical), only set this if providing data argument to override default |
which |
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()
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