ca_3Dplot | R Documentation |
Plots the first 3 dimensions of the rows and columns in the same plot.
ca_3Dplot(
obj,
xdim = 1,
ydim = 2,
zdim = 3,
princ_coords = 1,
row_labels = NULL,
col_labels = NULL,
...
)
## S4 method for signature 'cacomp'
ca_3Dplot(
obj,
xdim = 1,
ydim = 2,
zdim = 3,
princ_coords = 1,
row_labels = NULL,
col_labels = NULL,
...
)
## S4 method for signature 'Seurat'
ca_3Dplot(
obj,
xdim = 1,
ydim = 2,
zdim = 3,
princ_coords = 1,
row_labels = NULL,
col_labels = NULL,
...,
assay = SeuratObject::DefaultAssay(obj),
slot = "counts"
)
## S4 method for signature 'SingleCellExperiment'
ca_3Dplot(
obj,
xdim = 1,
ydim = 2,
zdim = 3,
princ_coords = 1,
row_labels = NULL,
col_labels = NULL,
...,
assay = "counts"
)
obj |
An object of class "cacomp", or alternatively an object of class "Seurat" or "SingleCellExperiment" with a dim. reduction named "CA" saved. |
xdim |
Integer. The dimension for the x-axis. Default 1. |
ydim |
Integer. The dimension for the y-axis. Default 2. |
zdim |
Integer. The dimension for the z-axis. Default 3. |
princ_coords |
Integer. If 1 then principal coordinates are used for the rows, if 2 for the columns. Default 1 (rows). |
row_labels |
Numeric vector. Indices for the rows for which a label should be added (label should be stored in rownames). Default NULL. |
col_labels |
Numeric vector. Indices for the columns for which a label should be added (label should be stored in colnames). Default NULL (no columns). |
... |
Further arguments. |
assay |
SingleCellExperiment assay to obtain counts from. |
slot |
Seurat slot from assay to get count matrix from. |
Depending on whether 'princ_coords' is set to 1 or 2 either the principal coordinates of either the rows (1) or the columns (2) are chosen. For the other the standardized coordinates are plotted (assymetric biplot). Labels for rows and columns should be stored in the row- and column names respectively.
Plot of class "plotly".
# Simulate counts
cnts <- mapply(function(x){rpois(n = 500, lambda = x)},
x = sample(1:100, 50, replace = TRUE))
rownames(cnts) <- paste0("gene_", 1:nrow(cnts))
colnames(cnts) <- paste0("cell_", 1:ncol(cnts))
# Run correspondence analysis
ca <- cacomp(obj = cnts, princ_coords = 3)
ca_3Dplot(ca)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.