plot_cumulative_features: Plots a line depicting the number of features ( or any...

In Benjamin-Vincent-Lab/binfotron: Binfotron Bioinformatics Analysis Tools Suite

Plots a line depicting the number of features ( or any categorical variable ) that are below the pvalue ( or any categorical variable )

Description

Intended to depict how many features are below pvalues with vertical lines representing the typical cutoffs for significance ( .05, .01, .001 )

Usage

plot_cumulative_features(
  plot_df,
  gg_add_on = theme_minimal(),
  lab_x = "P-Value ( Log10 )",
  lab_y = "Cumulative Feature Count ( Log10 )",
  max_features = NA,
  max_pvalue = NA,
  output_path = NA,
  plot_title = "Cumulative Features Below P-Value",
  pvalue_clm = "pValue",
  size_height = 5,
  size_width = 5.5
)

Arguments

plot_df	Dataframe containing at a minimum pvalue data
gg_add_on	ggplot elements to add on to plot. Defaults to theme_minimal()
lab_x	String for labeling x axis
lab_y	String for labeling y axis
max_features	integer representing the maximum number of features to plot. Values above this will be dropped from the plot_df
max_pvalue	double representing the highest pvalue to be plotted. Values above this will be dropped from the plot_df
output_path	Output path for plot
plot_title	String for plot title
pvalue_clm	column name in plot_df corresponding to pvalues
size_height	Numeric to specify plot height
size_width	Numeric to specify plot width

Value

Returns ggplot object with graphed line and vertical lines at significance intervals

Benjamin-Vincent-Lab/binfotron documentation built on Oct. 1, 2024, 8:33 p.m.