model_plot: Outlier visualization

In gbedwell/rigrag: Identification of Recurrently Targeted Genes and Recurrently Avoided Genes During HIV-1 Infection

Description

Generates separate plots of genic integration frequency vs. gene length for each sample being analyzed. Depicts model boundaries within gray shaded areas and colors upper and lower outliers blue and red, respectively.

Usage

model_plot(
  df,
  output.type = c("single", "combo"),
  labels = NULL,
  label.size = NULL,
  write.out = c("yes", "no"),
  num.col = NULL,
  h = NULL,
  w = NULL,
  output.dir = NULL,
  file.name = NULL
)

Arguments

df	The dataframe generated with random_frag_model()
output.type	If a grid of plots is desired define as "combo", if individual plots are desired define as "single".
labels	The labels to be assigned to each panel. Use "AUTO" to automatically assign alphabetical labels starting with "A". For custom labels, enter them as a character vector.
label.size	The size of the labels on the combined plot output.
write.out	Determines whether or not to save the generated plot. To save the plots, define as "yes".
num.col	The desired number of columns in the cowplot output
h	The desired height of the generated plot
w	The desired width of the generated plot
output.dir	The directory in which the files will be output. If the working directory is the desired directory, enter NULL.
file.name	The name of the output file. Enter as a character string.

Examples

model_plot()

gbedwell/rigrag documentation built on June 23, 2021, 10:32 p.m.