featurePlot: Create a plot of (count/intensity) values over the samples

In tnaake/MatrixQCvis: Shiny-based interactive data-quality exploration for omics data

Create a plot of (count/intensity) values over the samples

Description

The function featurePlot creates a plot of (count/intensity) values for different data processing steps (referring to columns in the data.frame) over the different samples (referring to rows in the data.frame).

Usage

featurePlot(df)

Arguments

df	data.frame

Details

Internal usage in shinyQC.

Value

gg object from ggplot2

Examples

set.seed(1)
x1 <- matrix(rnorm(100), ncol = 10, nrow = 10, 
    dimnames = list(paste("feature", seq_len(10)), 
        paste("sample", seq_len(10))))
x2 <- x1 + 5
x3 <- x2 + 10
l <- list(x1 = x1, x2 = x2, x3 = x3)
df <- createDfFeature(l, "feature 1")
featurePlot(df)

tnaake/MatrixQCvis documentation built on May 6, 2024, 8:19 p.m.