stat_reduce {ggbio} | R Documentation

## Reduce an object.

### Description

Reduce `GRanges`, `IRanges` or `TxDb` object.

### Usage

    ## S4 method for signature 'GRanges'
    stat_reduce(data, ...,
               xlab, ylab, main,
               drop.empty.ranges = FALSE,
               min.gapwidth = 1L,
               facets = NULL, geom = NULL)

    ## S4 method for signature 'IRanges'
    stat_reduce(data, ...,
               xlab, ylab, main,
               drop.empty.ranges = FALSE,
               min.gapwidth = 1L,
               with.inframe.attrib=FALSE,
               facets = NULL, geom = NULL)

    ## S4 method for signature 'TxDbOREnsDb'
    stat_reduce(data, ...)

### Arguments

`data` | `GRanges`, `IRanges` or `TxDb` object.
`...` | passed to aesthetics mapping.
`xlab` | x label.
`ylab` | y label.
`main` | title.
`drop.empty.ranges` | pass to `reduce` function.
`min.gapwidth` | pass to `reduce` function.
`with.inframe.attrib` | pass to `reduce` function.
`facets` | pass to `reduce` function.
`geom` | geometric type.

### Value

a ggplot object.

### Author(s)

Tengfei Yin

### See Also

`reduce`.

### Examples

    set.seed(1)
    N <- 1000
    library(GenomicRanges)

    gr <- GRanges(seqnames =
                  sample(c("chr1", "chr2", "chr3"),
                         size = N, replace = TRUE),
                  IRanges(
                          start = sample(1:300, size = N, replace = TRUE),
                          width = sample(70:75, size = N,replace = TRUE)),
                  strand = sample(c("+", "-", "*"), size = N,
                    replace = TRUE),
                  value = rnorm(N, 10, 3), score = rnorm(N, 100, 30),
                  sample = sample(c("Normal", "Tumor"),
                    size = N, replace = TRUE),
                  pair = sample(letters, size = N,
                    replace = TRUE))

    ggplot(gr) + stat_reduce()
    autoplot(gr, stat = "reduce")
    strand(gr) <- "*"
    ggplot(gr) + stat_reduce()

    library(TxDb.Hsapiens.UCSC.hg19.knownGene)
    data(genesymbol, package = "biovizBase")
    txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene
    ## made a track comparing full/reduce stat.
    ggplot(txdb) + stat_reduce(which = genesymbol["RBM17"])

[Package ggbio version 1.36.0 Index]