plotCounts: Plot a bar chart of the number of interactions supported by...
In GenomicInteractions: Utilities for handling genomic interaction data
Description
Usage
Arguments
Value
Examples
View source: R/plotSummaryStats.R
Description
Plot a bar chart of the number of interactions supported by different numbers of reads in your data.
Usage
1
plotCounts(GIObject, normalise = FALSE, cut = 10)
Arguments
GIObject
A GInteractions object.
normalise
Logical. If TRUE, plots proportion of total reads instead of count.
cut
Numeric, can be NULL. Default: 10. All interactions with counts > cut are consolidated into a single category.
Value
A ggplot2 plot
Examples
1
2
3
data(hic_example_data)
plotCounts(hic_example_data)
plotCounts(hic_example_data, normalise=TRUE)
GenomicInteractions documentation built on Nov. 8, 2020, 8:19 p.m.
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Description Usage Arguments Value Examples
View source: R/plotSummaryStats.R
Description
Plot a bar chart of the number of interactions supported by different numbers of reads in your data.
Usage
1 | plotCounts(GIObject, normalise = FALSE, cut = 10)
|
Arguments
GIObject |
A GInteractions object. |
normalise |
Logical. If TRUE, plots proportion of total reads instead of count. |
cut |
Numeric, can be NULL. Default: 10. All interactions with counts > cut are consolidated into a single category. |
Value
A ggplot2 plot
Examples
1 2 3 | data(hic_example_data)
plotCounts(hic_example_data)
plotCounts(hic_example_data, normalise=TRUE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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