plot_vg: Generate gene variance plots
In AllenInstitute/scrattch.hicat: Hierarchical Iterative Clustering Analysis for Transcriptomic data
plot_vg R Documentation
Generate gene variance plots
Description
Generate gene variance plots
Usage
plot_vg(gene_var_stats, plots = "all", loess_fit = NULL)
Arguments
gene_var_stats
a data.frame of statistics generated by compute_vg_stats()
plots
a character vector specifying one or more of the following options (Default is "all"):
qq_z_plot
qq_loess.z_plot
z_density_plot
loess.z_density_plot
dispersion_fit_plot
all
loess_fit
a loess fit object as generated by gene_loess_fit(). This is required only for the dispersion_fit_plot.
Value
a list object with multiple ggplot2 plot objects depending on the plots parameter
AllenInstitute/scrattch.hicat documentation built on Oct. 20, 2023, 6:55 a.m.
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| plot_vg | R Documentation |
Generate gene variance plots
Description
Generate gene variance plots
Usage
plot_vg(gene_var_stats, plots = "all", loess_fit = NULL)
Arguments
gene_var_stats |
a data.frame of statistics generated by compute_vg_stats() |
plots |
a character vector specifying one or more of the following options (Default is "all"):
|
loess_fit |
a loess fit object as generated by gene_loess_fit(). This is required only for the dispersion_fit_plot. |
Value
a list object with multiple ggplot2 plot objects depending on the plots parameter
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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