cell_sampler: Sample cells and apply function
In argschwind/dropseqr: Utilities for Drop-seq data processing

Sample a certain number of cells from a DGE data.frame and apply a specific function to the subset.

1 2	cell_sampler(dge, size, fun, groups = NULL, n = 1, simplify = TRUE, replace = TRUE, funArgs = list())

`dge`	A data.frame containing DGE data, with rows being genes and columns cells. The first column is assumed to provide the gene identifiers.
`size`	Number of cells that should be sampled. If different sizes should be sampled each specified group, `size` needs to be a vector of length `length(levels(groups))` providing sizes for each group of cells. If `groups` is used it's recommendend that `size` is a named vector with group ids as names, as this will ensure correct sizes per group.
`fun`	Function to apply to sampled cells. Needs to take a DGE data.frame as it's first positional argument.
`groups`	Optional; a factor of the same length as the number of cells providing group assignments for each cell in dge. If `groups = NULL` all cells are assigned to the same group.
`n`	Number of times a sample is drawn and the function is applied.
`simplify`	Logical or character string specifying if and how the output should be simplified. See help for sapply for more information.
`replace`	Should samples be drawn with replacement?
`funArgs`	Optional; a list with additional arguments for the applied function `fun`.

A list of output objects from each sampling iteration of the selected function fun if simplify = FALSE. If simplify = TRUE a vector, matrix, or, if simplify = "array", an array if appropriate.

argschwind/dropseqr documentation built on May 23, 2019, 4:24 p.m.