getRelevantCol

col.names

potential column names or partial names that may exist
in col.names

col.options

type of column information the function is searching for,
used in construction of error messages. Default is NULL.

col.type

if multiple matches are found then return indices,
else spit an error out. Default is TRUE.

multiple.ok

The function finds relevant column(s) of interest from a vector of column
names derived from a dataframe. If no usable column is found, the function
spits out a relevant error or returns the index of the usable column(s).
This is an assistant function called by functions listed in the
see also section.

hiAnnotator contains set of functions which allow users to
    annotate a GRanges object with custom set of annotations. The
    basic philosophy of this package is to take two GRanges
    objects (query & subject) with common set of seqnames (i.e.
    chromosomes) and return associated annotation per seqnames and rows
    from the query matching seqnames and rows from the subject (i.e.
    genes or cpg islands). The package comes with three types of annotation
    functions which calculates if a position from query is: within a feature,
    near a feature, or count features in defined window sizes. Moreover, each
    function is equipped with parallel backend to utilize the foreach package.
    In addition, the package is equipped with wrapper functions, which finds
    appropriate columns needed to make a GRanges object from a
    common data frame.

getRelevantCol: Find the column index of interest given the potential choices.

Description

Usage

Arguments

Value

See Also

Examples