Description Usage Arguments Details Value Examples
View source: R/plot_hexbin_meta_plus.R
Plot of meta data with annotation of single cell data in bivariate hexagon cells.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
sce |
A |
col1 |
A string referring to the name of one column in the meta data of sce by which to make the outlines. Note that this should be a factor or a character. |
col2 |
A string referring to the name of one column in the meta data of sce specifying what to color hexagons by. |
action |
A string specifying how meta data as specified in col2 of
observations in binned hexagon cells are to be summarized. Possible
actions are |
no |
An integer specifying which level to plot of the column. Only in
effect when |
colors |
A vector of strings specifying which colors to use for plotting the different levels in the selected column of the meta data. |
title |
A string containing the title of the plot. |
xlab |
A string containing the title of the x axis. |
ylab |
A string containing the title of the y axis. |
expand_hull |
A numeric value determining the expansion of the line marking different clusters. |
na.rm |
Logical indicating whether NA values should be removed. |
... |
Additional arguments passed on to
|
This function plots any meta data in the hexagon cell
representation calculated with make_hexbin
as well as at the
same time representing outlines of clusters. The chosen gene
expression is summarized by one of four actions prop_0
,
mode
, mean
and median
:
prop
Returns the proportion of each level or unique character in the bin. The associated meta data column needs to be a factor or character.
mode
Returns the mode of the observations in the bin. The associated meta data column needs to be numeric.
mean
Returns the mean of the observations in the bin. The associated meta data column needs to be numeric.
median
Returns the median of the observations in the bin. The associated meta data column needs to be numeric.
A ggplot2{ggplot}
object.
1 2 3 4 5 6 7 8 9 | #' # For Seurat object
library(Seurat)
data("pbmc_small")
pbmc_small <- make_hexbin(pbmc_small, 10, dimension_reduction = "PCA")
pbmc_small$RNA_snn_res.0.8 <- as.factor(pbmc_small$RNA_snn_res.0.8)
plot_hexbin_meta_plus(pbmc_small, col1="RNA_snn_res.0.8",
col2="nCount_RNA", action="mean")
plot_hexbin_meta_plus(pbmc_small, col1="RNA_snn_res.0.8",
col2="groups", action="prop", no=1)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.