make.a.tidy.dataset: make a tidy dataset

In robinmeyers/niboR: Useful functions by Robin | niboR

Description

Takes a list of matrices with similar row and column names and runs tidyr::gather across each to make a "long" dataset with a column of values for each matrix in the list.

Usage

make.a.tidy.dataset(
  datasets,
  na.rows = TRUE,
  na.cols = FALSE,
  use.dims = NULL,
  dim.names = c("Gene", "Sample")
)

Arguments

datasets	list of matrices (columns are samples, rows are genes)
na.rows	if TRUE, add NAs for missing rows, otherwise they are removed
na.cols	if TRUE, add NAs for missing columns, otherwise they are removed
use.dims	either an integer or character vector of length 1
dim.names	character vector of length two - these become the column labels in the tidy dataset for the rownames and colnames of the original matrices

Value

a tidy dataframe

robinmeyers/niboR documentation built on Dec. 5, 2019, 8:50 p.m.