dimarPlotFacetHist: dimarPlotFacetHist

In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R

dimarPlotFacetHist

Description

Plots a faceted histogram displaying the percentage of missing values for separate intensity intervals. For this the median protein intensity values calculated across all samples are used. # Addapted from:

Usage

dimarPlotFacetHist(mtx, nbins = 20, savePlot = FALSE, width = 13, height = 5)

Arguments

mtx	Numeric matrix
nbins	Amount of intensity intervals the range of intensity values should be split into.
savePlot	Logical. If TRUE, the histogram is saved as pdf to working directory.
width	Width of pdf to which plot is saved if savePlot = TRUE.
height	Height of pdf to which plot is saved if savePlot = TRUE.

Value

None

Examples

library(DIMAR)
library(openxlsx)
filename <- "Test2.xlsx"
filepath <- system.file("extdata", filename, package = "DIMAR")
df <- read.xlsx(filepath, sheet="Sheet1", startRow = 2)
row.names(df) <- paste(c(1:nrow(df)), df$`Protein.(Uniprot.ID)`, sep = "_")
df <- df[, grepl("^AD\\d|^C\\d", names(df))]
mtx <- as.matrix(df)
dimarPlotFacetHist(mtx)

kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.