Repitools (version 1.18.0)

plotClusters: Plot Scores of Cluster Regions

Description

Given an annotation of gene positions that has a score column, the function will make a series of bar chart plots, one for each cluster.

Usage

"plotClusters"(x, s.col = NULL, non.cl = NULL, ...) "plotClusters"(x, s.col = NULL, non.cl = NULL, ...)

Arguments

x

A summary of genes and their statistical score, and the cluster that they belong to. Either a data.frame or a GRanges. If a data.frame, then (at least) columns chr, start, end, strand, name and cluster. Also a score column, with the column name describing what type of score it is. If a GRanges, then the elementMetadata should have a DataFrame with a score column, and columns named "cluster" and "name".

s.col

The column number of the data.frame when data is a data.frame, or the column number of the DataFrame when data is a GRanges object. The name of this column is used as the y-axis label in the plot.

non.cl

The value in the cluster column that represents genes that are not in any cluster

...

Further parameters to be passed onto plot.

Value

A plot for each cluster is made. Therefore, the PDF device should be opened before this function is called.

Examples

  library(GenomicRanges)
  g.summary <- GRanges("chr1",
                       IRanges(seq(1000, 10000, 1000), width = 100),
                       rep(c('+', '-'), 5),
                       `t-statistic` = rnorm(10, 8, 2),
                       cluster = c(0, 0, 0, 0, 0, 1, 1, 1, 1, 0),
                       name = paste("Gene", 1:10))
  plotClusters(g.summary, 1, 0, ylim = c(4, 12), lwd = 5)