createDfFeature {MatrixQCvis} | R Documentation

## Create data frame of (count/intensity) values for a selected feature along data processing steps

### Description

The function 'createDfFeature' takes as input a list of matrices and returns the row 'feature' of each matrix as a column of a 'data.frame'. The function 'createDfFeature' provides the input for the function 'featurePlot'.

### Usage

    createDfFeature(l, feature)

### Arguments

`l` | 'list' containing matrices at different processing steps
`feature` | 'character', element of 'rownames' of the matrices in 'l'

### Details

Internal usage in 'shinyQC'

### Value

'data.frame'

### 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)
    createDfFeature(l, "feature 1")

[Package MatrixQCvis version 1.0.0 Index]