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)

[Package MatrixQCvis version 1.0.0 Index]