colMeans-Seurat-method: Row and Column Sums and Means

In SeuratObject: Data Structures for Single Cell Data

Row and Column Sums and Means

Description

Calculate rowSums, colSums, rowMeans, and colMeans on Seurat objects

Usage

## S4 method for signature 'Seurat'
colMeans(x, na.rm = FALSE, dims = 1, ..., slot = "data")

## S4 method for signature 'Seurat'
colSums(x, na.rm = FALSE, dims = 1, ..., slot = "data")

## S4 method for signature 'Seurat'
rowMeans(x, na.rm = FALSE, dims = 1, ..., slot = "data")

## S4 method for signature 'Seurat'
rowSums(x, na.rm = FALSE, dims = 1, ..., slot = "data")

Arguments

x	A Seurat object
na.rm	logical. Should missing values (including NaN) be omitted from the calculations?
dims	completely ignored by the Matrix methods.
...	potentially further arguments, for method <-> generic compatibility.
slot	Name of assay expression matrix to calculate column/row means/sums on

Value

colMeans: the column (cell-wise) means of slot

colSums: the column (cell-wise) sums of slot

rowMeans: the row (feature-wise) means of slot

rowSums: the row (feature-wise) sums of slot

See Also

Seurat

Examples

head(colMeans(pbmc_small))

head(colSums(pbmc_small))

head(rowMeans(pbmc_small))

head(rowSums(pbmc_small))

SeuratObject documentation built on May 29, 2024, 12:31 p.m.