plot_CV_density: Density plot

In mpwR: Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics

Density plot

Description

Plot cumulative density for precision results

Usage

plot_CV_density(
  input_list,
  xaxes_limit = 50,
  cv_col = c("RT", "Pep_quant", "PG_quant")
)

Arguments

input_list	A list with data frames and respective information on quantitative or retention time precision.
xaxes_limit	Numeric. Limit of x-axes in plot.
cv_col	Character string. Choose between "RT", "Pep_quant", "PG_quant" for corresponding precision category. Default is RT for retention time precision. Pep_quant equals quantitative precision on peptide-level. PG_quant equals quantitative precision on proteingroup-level.

Details

Quantitative or retention time precision are plotted as cumulative density.

Value

This function returns a density plot.

Author(s)

Oliver Kardell

Examples

# Load libraries
library(dplyr)
library(comprehenr)
library(tibble)

# Example data
set.seed(123)
data <- list(
  "A" = tibble::tibble(
    Analysis_mpwR = rep("A", times = 10),
    CV_Retention.time_mpwR = sample(1:20, 10),
    CV_Peptide_LFQ_mpwR = sample(1:30, 10),
    CV_ProteinGroup_LFQ_mpwR = sample(1:30, 10)),
 "B" = tibble::tibble(
     Analysis_mpwR = rep("B", times = 10),
     CV_Retention.time_mpwR = sample(1:20, 10),
     CV_Peptide_LFQ_mpwR = sample(1:30, 10),
     CV_ProteinGroup_LFQ_mpwR = sample(1:30, 10))
)

# Plot
plot_CV_density(
  input_list = data,
  cv_col = "Pep_quant"
)

mpwR documentation built on June 8, 2025, 10:47 a.m.