ssvSignalLineplotAgg {seqsetvis} | R Documentation

## aggregate line signals in a single line plot

### Description

aggregate line signals in a single line plot

### Usage

    ssvSignalLineplotAgg(bw_data, x_ = "x", y_ = "y", sample_ = "sample",
      color_ = sample_, group_ = sample_, agg_fun = mean,
      spline_n = NULL, return_data = FALSE)

### Arguments

`bw_data` | a GRanges or data.table of bigwig signal. As returned from `ssvFetchBam` and `ssvFetchBigwig`
`x_` | variable name mapped to x aesthetic, x by default.
`y_` | variable name mapped to y aesthetic, y by default.
`sample_` | variable name, along with region_ used to group by default,
`color_` | variable name mapped to color aesthetic, sample_ by default. change group_ to override.
`group_` | group aesthetic keeps lines of geom_path from mis-connecting. Most useful if you need to supply a variable to later facet upon. Defaults to value of sample_.
`agg_fun` | the aggregation function to apply by sample_ and x_, default is mean
`spline_n` | if not NULL, applySpline will be called with n = spline_n. default is NULL.
`return_data` | logical. If TRUE, return value is no longer ggplot and is instead the data used to generate that plot. Default is FALSE.

### Value

ggplot of signal aggregated with agg_fun() by sample.

### Examples

    bw_gr = CTCF_in_10a_profiles_gr
    ssvSignalLineplotAgg(bw_gr) +
        labs(title = "agg regions by sample.")
    ssvSignalLineplotAgg(CTCF_in_10a_profiles_gr, spline_n = 10) +
        labs(title = "agg regions by sample, with spline smoothing.")
    ssvSignalLineplotAgg(subset(bw_gr, bw_gr$id %in% seq_len(10)),
        sample_ = "id", color_ = "id") +
        labs(title = "agg samples by region id (weird)")
    ssvSignalLineplotAgg(subset(bw_gr, bw_gr$id %in% seq_len(10)), sample_ = "id",
        color_ = "id", spline_n = 10) +
        labs(title = "agg samples by region id (weird), with spline smoothing")

[Package seqsetvis version 1.6.0 Index]