barplot_samples_memi {MatrixQCvis} | R Documentation

## Barplot of number of measured/missing features of samples

### Description

'barplot_samples_memi' plots the number of measured/missing features of samples as a barplot. The function will take as input the returned 'tbl' of 'samples_memi'.

### Usage

    barplot_samples_memi(tbl, measured = TRUE)

### Arguments

`tbl` | 'tbl' object
`measured` | 'logical', should the number of measured or missing values be plotted

### Value

'gg' object from 'ggplot2'

### Examples

    ## create se
    a <- matrix(1:100, nrow = 10, ncol = 10,
                dimnames = list(1:10, paste("sample", 1:10)))
    a[c(1, 5, 8), 1:5] <- NA
    set.seed(1)
    a <- a + rnorm(100)
    cD <- data.frame(name = colnames(a), type = c(rep("1", 5), rep("2", 5)))
    rD <- data.frame(spectra = rownames(a))
    se <- SummarizedExperiment::SummarizedExperiment(assay = a,
        rowData = rD, colData = cD)

    ## create the data.frame with information on number of measured/missing
    ## values
    tbl <- samples_memi(se)

    ## plot number of measured values
    barplot_samples_memi(tbl, measured = TRUE)

    ## plot number of missing values
    barplot_samples_memi(tbl, measured = FALSE)

[Package MatrixQCvis version 1.0.0 Index]