Comparison of CV values before and after normalization

Usage

plot_cv_normalization(
  data = NULL,
  filter_data,
  qc_type,
  var_before = c("intensity"),
  var_after = c("norm_intensity"),
  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
qc_type: QC type to use for plot.
var_before: Variable of QC metrics table used for x axis
var_after: Variable of QC metrics table used for y axis
cv_treshhold: Threshold 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