downsample_matrix {clustifyr} | R Documentation |
downsample matrix by cluster or completely random
downsample_matrix( mat, n = 1, keep_cluster_proportions = TRUE, metadata = NULL, cluster_col = "cluster" )
mat |
expression matrix |
n |
number per cluster or fraction to keep |
keep_cluster_proportions |
whether to subsample |
metadata |
data.frame or vector containing cluster assignments per cell. Order must match column order in supplied matrix. If a data.frame provide the cluster_col parameters. |
cluster_col |
column in metadata with cluster number |
new smaller mat with less cell_id columns
set.seed(42) mat <- downsample_matrix( mat = pbmc_matrix_small, metadata = pbmc_meta$classified, n = 10, keep_cluster_proportions = TRUE ) mat[1:3, 1:3]