Contrast two variables from QC metrics table for all features per feature class

Usage

plot_x_vs_y(
  data = NULL,
  filter_data,
  x_variable,
  y_variable,
  cv_treshhold = 25,
  only_quantifier = TRUE,
  xlim = c(0, NA),
  ylim = c(0, NA),
  ncol = 5,
  point_size = 1,
  point_alpha = 0.5,
  scale_factor = 1,
  font_base_size = 8
)

Arguments

data: MidarExperiment object
filter_data: Use all (default) or qc-filtered data
x_variable: Variable of QC metrics table used for x axis
y_variable: Variable of QC metrics table used for y axis
cv_treshhold: Treshhold values shown in plot as dashed lines
only_quantifier: Show only quantifier
xlim: Lower and upper limits of the x axis as vector
ylim: Lower and upper limits of the y axis as vector
ncol: Number of facet columns
point_size: size of points. Default is 2
point_alpha: transparency of points
scale_factor: Scale factor for text labels
font_base_size: Base font size for plot text elements

Value

ggplot2 object