hist_feature {MatrixQCvis} | R Documentation

## Histogram for measured value per feature

### Description

The function 'hist_compound' creates a histogram with the number of measured/missing values per feature.

### Usage

    hist_feature(x, measured = TRUE, ...)

### Arguments

`x` | 'matrix' containing intensities. Missing values are encoded as 'NA'.
`measured` | 'logical', should the measured values ('measured = TRUE') or missing values ('measured = FALSE') be taken
`...` | additional parameters passed to 'geom_histogram', e.g. 'binwidth'.

### Value

'plotly' object from 'ggplotly'

### Examples

    x <- matrix(c(c(1, 1, 1), c(1, NA, 1), c(1, NA, 1),
        c(1, 1, 1), c(NA, 1, 1), c(NA, 1, 1)), byrow = FALSE, nrow = 3)
    colnames(x) <- c("A_1", "A_2", "A_3", "B_1", "B_2", "B_3")
    hist_feature(x, binwidth = 1)

[Package MatrixQCvis version 1.2.4 Index]