spatialLIBD
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[BUG] `sort_clusters` creates arbitary numeric seqences as legend labels in `vis_grid_clus` plots.
Thanks for the nice package!
I've been using vis_grid_clus
to plot multiple samples together. I noticed the legends representing levels of clustervar
are always turning to numbers instead of showing their original labels even when I manually set up with colors
. With some debugging, I realize the function sort_clusters
might be the culprit for it.
library(spatialLIBD)
spe <- fetch_data("spatialDLPFC_Visium_example_subset")
spe$spd <- sprintf("SpD_%02d", spe$BayesSpace_harmony_10)
table(spe$spd)
# SpD_01 SpD_02 SpD_03 SpD_04 SpD_05 SpD_06 SpD_07 SpD_08 SpD_09 SpD_10
# 139 755 1932 2137 1882 688 1805 1511 591 667
sort_clusters(spe$spd) |> table()
# 1 2 3 4 5 6 7 8 9 10
# 2137 1932 1882 1805 1511 755 688 667 591 139
As an end results for vis_grid_clus
plots, I'm getting plots with no color filled spots and warning messages 1: No shared levels found between
names(values) of the manual scale and the data's fill values.
when running the following line.
k <- unique(spe$spd) |> length()
vis_grid_clus(
spe,
"spd",
return_plots = TRUE,
colors = set_names(
Polychrome::palette36.colors(k),
unique(spe$spd) |> sort()
)
)
This is because sort_clusters
is employed with the default option of sort_clust = TRUE
.
https://github.com/LieberInstitute/spatialLIBD/blob/77a5303f91edb7b9ffb1ce00b4193dae5d16a8a1/R/vis_grid_clus.R#L69-L72
The problem is metigated by making sort_clust = FALSE
as well as providing colors option.
vis_grid_clus(
spe,
"spd",
return_plots = TRUE,
sort_clust = FALSE,
colors = set_names(
Polychrome::palette36.colors(k),
unique(spe$spd) |> sort()
)
)
R Session Information
─ Session info ────────────────────────────────────────────────────────────────────────────────
setting value
version R version 4.3.2 (2023-10-31)
os macOS Sonoma 14.2.1
system aarch64, darwin20
ui X11
language (EN)
collate en_US.UTF-8
ctype en_US.UTF-8
tz America/New_York
date 2024-04-23
pandoc 3.1.12.1 @ /opt/homebrew/bin/pandoc
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