GlobalEditing: Get Global Editing Values
In okg3/RNAEditingAnalysisTools: Conduct Differential RNA Editing Analysis

Description Usage Arguments Details Value Examples

GlobalEditing returns global editing values for each sample.

1	GlobalEditing(x, type = c("proportion", "count", "covered"), by = NULL)

`x`	An RNA editing data object which includes Annotation dataframe, Frequency matrix, and Coverage-q25 matrix at minimum
`type`	A character vector with values "proportion", "count", and/or "covered" specifying global editing measure to return. By default, returns all three.
`by`	A character vector with name of column in x$Annotation dataframe by which to split editing data

The input should be a list object which includes matrices named "Frequency" and "Coverage-q25". The function will return a vector, matrix, or list of vectors or matrices with options to report the following:

Proportion: Total proportion of edited reads over reads mapping to edited sites (EditedReads / Coverage)
Count: Total number of sites with editing present
Coverage: Total number of sites with coverage (recommended for normalization of counts above)

By default, calculates global values for all editing events combined. To split by region, subtype, or other annotation, supply name of column in Annotation data.frame to be used to split data.

A vector, matrix, or list of vectors or matrices with global editing values.

## Not run: 
GlobalEditing(RNAEdDataQCed)
GlobalEditing(RNAEdDataQCed, type = "proportion")
GlobalEditing(RNAEdDataQCed, type = "count", by = "SubType")

## End(Not run)