plot_background_model: Quality control plots for background model estimation
In ilia-kats/RiboSeqTools: Tools for analysis of selective ribosome profiling (SeRP) data
Description
Usage
Arguments
Details
Value
See Also
Description
Creates one plot per sample and replicate in a faceted display.
Usage
1
plot_background_model(data, type = c("density", "ratio"))
Arguments
data
A serp_data object.
type
Type of plot, one of density or ratio.
Details
In density mode, plots a histogram of sample1/(sample1 + sample2)
overlaid with the probability density function of a Beta distribution using the
parameters estimated by fit_background_model.
In ratio mode, plots a scatterplot of sample1/(sample1 + sample2)
over sample2 overlaid with points randomly drawn from a beta-binomial distribution using
the parameters estimated by fit_background_model.
Value
A ggplot object.
See Also
ilia-kats/RiboSeqTools documentation built on Oct. 5, 2020, 7:41 p.m.
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Description Usage Arguments Details Value See Also
Description
Creates one plot per sample and replicate in a faceted display.
Usage
1 | plot_background_model(data, type = c("density", "ratio"))
|
Arguments
data |
A |
type |
Type of plot, one of |
Details
In density mode, plots a histogram of sample1/(sample1 + sample2)
overlaid with the probability density function of a Beta distribution using the
parameters estimated by fit_background_model.
In ratio mode, plots a scatterplot of sample1/(sample1 + sample2)
over sample2 overlaid with points randomly drawn from a beta-binomial distribution using
the parameters estimated by fit_background_model.
Value
A ggplot object.
See Also
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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