tof_cluster_tibble: Cluster (ungrouped) high-dimensional cytometry data.

In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles

Cluster (ungrouped) high-dimensional cytometry data.

Description

This function is a wrapper around tidytof's tof_cluster_* function family and provides a low-level API for clustering ungrouped data frames. It is a subroutine of tof_cluster and shouldn't be called directly by users.

Usage

tof_cluster_tibble(tof_tibble, ..., augment = TRUE, method)

Arguments

tof_tibble	A 'tof_tbl' or 'tibble'.
...	Additional arguments to pass to the 'tof_cluster_*' function family member corresponding to the chosen method.
augment	A boolean value indicating if the output should column-bind the cluster ids of each cell as a new column in 'tof_tibble' (TRUE, the default) or if a single-column tibble including only the cluster ids should be returned (FALSE).
method	A string indicating which clustering methods should be used. Valid values include "flowsom", "phenograph", "kmeans", "ddpr", and "xshift".

Value

A 'tof_tbl' or 'tibble' If augment = FALSE, it will have a single column encoding the cluster ids for each cell in 'tof_tibble'. If augment = TRUE, it will have ncol(tof_tibble) + 1 columns: each of the (unaltered) columns in 'tof_tibble' plus an additional column encoding the cluster ids.

keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.