add_label: Adds useful labels to colData.
In hesselberthlab/scrunchy: Single Cell Reconstruction of Functional Heterogeneity

Description Usage Arguments Value Examples

Can be used to add cell types to cluster numbers

1	add_label(fsce, labels, by = NULL, expt = "rnaseq")

`fsce`	An object of class `FunctionalSingleCellExperiment`
`labels`	dataframe of new labels. Must contain at least one column of matching variables (e.g. cell_id or k_cluster)
`by`	column name labels to match in colData of `expt`. If NULL, will match by all matching column names
`expt`	Data to use for match labels (default is `rnaseq`). Must be present in `names(fsce)`.

fsce with all labels in expt colData.

# Add cell_type labels to PBMC data

labels <- data.frame(k_cluster = as.factor(c("1", "2", "3", "4", "5", "6")),
label = c("MC", "NK", "NK+T", "MC", "MK", "CD4/8 T"))

fsce <- add_label(fsce_small, labels)

SingleCellExperiment::colData(fsce[["rnaseq"]])