plotAggregateCoverage.SimpleRleList.RdA function to plot aggregated signals (from a SimpleRleList) over sets of GRanges
# S3 method for SimpleRleList plotAggregateCoverage(bw, granges, colors = rep(c("#991919", "#1232D9", "#3B9B46", "#D99B12", "#7e7e7e", "#D912D4", "#9E7FCC", "#B0E797", "#D1B3B3", "#23A4A3", "#000000"), 5), xlab = "Center of elements", ylab = "Score", xlim = NULL, ylim = NULL, quartiles = c(0.025, 0.975), verbose = FALSE, bin = 1, plot_central = TRUE, runInParallel = TRUE, split_by_granges = FALSE, norm = "none", ...)
| bw | a single signal track (SimpleRleList class) |
|---|---|
| granges | a GRanges object or a list of GRanges |
| colors | a vector of colors |
| xlab | x axis label |
| ylab | y axis label |
| xlim | y axis limits |
| ylim | y axis limits |
| quartiles | Which quantiles to use to determine y scale automatically? |
| verbose | Boolean |
| bin | Integer Width of the window to use to smooth values by zoo::rollMean |
| plot_central | Boolean Draw a vertical line at 0 |
| runInParallel | Boolean Should the plots be computed in parallel using mclapply? |
| split_by_granges | Boolean Facet plots over the sets of GRanges |
| norm | character Should the signal be normalized ('none', 'zscore' or 'log2')? |
A plot of aggregated signals