spikein.dataframe: Function to create a data frame to be used for the GLM

In carinademel/RNAlife: Quantifying kinetic parameters to determine the RNA life cycle

Description

Function to create a data frame to be used for the GLM

Usage

spikein.dataframe(counts, spikeins = rownames(counts), spikein.lengths,
  spikein.labeling, samples = colnames(counts), conditions.labeling,
  debug = FALSE)

Arguments

counts	matrix with counts for each spike (rows) and each sample (columns)
spikeins	names of spike-ins, in same order as rownames of counts
spikein.lengths	length of spike-ins (vector ordered accoring to "spikes")
spikein.labeling	labeling status of spike-ins (vector ordered accoring to "spikes" consisting of "L" and "U")
samples	individual name for each sample, e.g. colnames of count table
conditions.labeling	labeling status of sample (vector consisting of "L" and "T")
debug	should debugging modus be used?

Value

dataframe containing all relevant information for the GLM

Author(s)

Carina Demel

carinademel/RNAlife documentation built on May 13, 2019, 12:43 p.m.