mz_vis {MetNet} | R Documentation

## Visualize mass difference distribution

### Description

The function 'mz_vis' visualizes the mass difference distribution, which has been summarized by 'mz_summary'.

### Usage

    mz_vis(df, var = "group")

### Arguments

`df` | 'data.frame', previously generated by 'mz_summary'. Needs to contain the columns "transformation", "mass_difference" and "counts".
`var` | 'character(1)', the column in 'df' to visualize on the y-axis

### Details

Plots the mass difference distribution, summarized by 'mz_summary'. Visualization is performed using ggplot2

### Value

'ggplot' object and corresponding barplot for visualizations

### Author(s)

Liesa Salzer, liesa.salzer@helmholtz-muenchen.de and Thomas Naake, thomasnaake@googlemail.com

### Examples

    data("x_test", package = "MetNet")
    transformation <- rbind(
        c("Monosaccharide (-H2O)", "C6H10O5", "162.0528234315"),
        c("Disaccharide (-H2O)", "C12H20O11", "340.1005614851"),
        c("Trisaccharide (-H2O)", "C18H30O15", "486.1584702945"))
    transformation <- data.frame(group = transformation[, 1],
                                    formula = transformation[, 2],
                                    mass = as.numeric(transformation[, 3]))
    am_struct <- structural(x_test, transformation,
        var = c("group", "formula", "mass"), ppm = 5, directed = TRUE)
    mz_sum <- mz_summary(am_struct, var = "group")
    mz_vis(mz_sum)

[Package MetNet version 1.12.2 Index]