plot_control_means: Function to create single plots by control probe category
In HCGB-IGTP/HCGB.IGTP.DAnalysis: Useful in-house functions for multiple analysis
View source: R/meffil_functions.R
plot_control_means R Documentation
Function to create single plots by control probe category
Description
Function to create single plots by control probe category
Usage
plot_control_means(
data_plot,
vect_categories,
metadata,
col_2_color,
col_of_interest
)
Arguments
data_plot
Dataframe from the original ggplot in meffil qc.summary (qc.summary_given$controlmeans.summary)
vect_categories
Vector containing list of categories to plot
metadata
Dataframe with metadata associated to each sample
col_2_color
Column to color ggplot points
col_of_interest
Columns from metadata of interest
HCGB-IGTP/HCGB.IGTP.DAnalysis documentation built on April 13, 2025, 12:03 a.m.
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View source: R/meffil_functions.R
| plot_control_means | R Documentation |
Function to create single plots by control probe category
Description
Function to create single plots by control probe category
Usage
plot_control_means(
data_plot,
vect_categories,
metadata,
col_2_color,
col_of_interest
)
Arguments
data_plot |
Dataframe from the original ggplot in meffil qc.summary (qc.summary_given$controlmeans.summary) |
vect_categories |
Vector containing list of categories to plot |
metadata |
Dataframe with metadata associated to each sample |
col_2_color |
Column to color ggplot points |
col_of_interest |
Columns from metadata of interest |
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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