plot_samples {lipidr}R Documentation

Informative plots to investigate samples

Description

lipidr supports two types of plots for sample quality checking.

tic plots a bar chart for total sample intensity.

boxplot plots a boxplot chart to examine the distribution of values per sample.

Usage

plot_samples(data, type = c("tic", "boxplot"), measure = "Area",
  log = TRUE)

Arguments

data

SkylineExperiment object created by read_skyline().

type

plot type, either tic or boxplot. Default is tic.

measure

Which measure to use as intensity, usually Area, Area.Normalized or Height. Default is Area

log

Whether values should be log2 transformed. Default is TRUE

Value

A ggplot object.

Examples

data(data_normalized)

plot_samples(data_normalized, type = "tic", "Area", log = TRUE)
plot_samples(data_normalized, type = "tic", "Background", log = FALSE)
plot_samples(
  data_normalized[, data_normalized$group == "QC"],
  type = "boxplot",
  measure = "Retention.Time", log = FALSE
)

[Package lipidr version 1.0.0 Index]