whichmax over each view...
In genoset: A RangedSummarizedExperiment with methods for copy number analysis

Description Usage Arguments Value See Also

Loop over the Rle objects in an RleDataFrame, calculate the appropriate statistic for each view. If simplify == FALSE, this function returns a vector for each Rle. If simplify == TRUE, it returns a vector for the case of a single view, otherwise, a matrix. Rownames for the matrix are taken from the names of the argument bounds.

1 2	.do_rledf_views(x, bounds, na.rm = FALSE, simplify = TRUE, RLEFUN, FUN.TYPE = c("numeric", "double", "integer", "logical"))

`x`	RleDataFrame
`bounds`	IRanges or matrix, views on every Rle. If `bounds` is a matrix, it is converted to an IRanges using the first two columns as the starts and stops. Names for the IRanges are taken from the rownames of the matrix. Such a matrix can be constructed with `boundingIndicesByChr`.
`na.rm`	scalar logical, ignore NAs in calculations?
`simplify`	scalar logical, simplify result? For a single view, a vector, otherwise a matrix with one row per view.
`RLEFUN`	function, internal rle view summary function like .rle_view_means
`FUN.TYPE`	scalar character, the storage mode for the returned vector or matrix (when simplify==TRUE).

With simplify == TRUE, a vector for single view or a matrix otherwise. When simplify == FALSE, a list of vectors length ncol(x) where each element is of length nrows(bounds).

RleDataFrame boundingIndicesByChr

Other views: .do_rledf_range_summary

genoset documentation built on Nov. 8, 2020, 6:07 p.m.