featurePlot {MatrixQCvis}

R Documentation

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", 1:10), paste("sample", 1:10)))
x2 <- x1 + 5
x3 <- x2 + 10
l <- list(x1 = x1, x2 = x2, x3 = x3)
df <- createDfFeature(l, "feature 1")
featurePlot(df)

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