plotNBParam: Visualize
In bvieth/powsim: Power Simulations
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function plots the results of the parameter estimation. This includes the absolute and relative sequencing depth (i.e. library size factor). Also the mean-dispersion relationship with loess fit for simulations is visualized. Lastly the mean-dropout rate is presented as a smooth scatter plot.
Usage
1
plotNBParam(estParam.out, annot=TRUE)
Arguments
estParam.out
The output of estimateNBParam or a string specifying the name of precalculated estimates (see details).
annot
A logical vector. If TRUE, a short figure legend is included.
Details
Precalculated negative binomial parameters for simulations are available on .
Value
A ggplot object.
Author(s)
Beate Vieth
Examples
1
2
3
4
## Not run:
## for example see \code{\link{insilicoNBParam}}
## End(Not run)
bvieth/powsim documentation built on May 13, 2019, 9:04 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This function plots the results of the parameter estimation. This includes the absolute and relative sequencing depth (i.e. library size factor). Also the mean-dispersion relationship with loess fit for simulations is visualized. Lastly the mean-dropout rate is presented as a smooth scatter plot.
Usage
1 | plotNBParam(estParam.out, annot=TRUE)
|
Arguments
estParam.out |
The output of |
annot |
A logical vector. If |
Details
Precalculated negative binomial parameters for simulations are available on .
Value
A ggplot object.
Author(s)
Beate Vieth
Examples
1 2 3 4 | ## Not run:
## for example see \code{\link{insilicoNBParam}}
## End(Not run)
|
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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