MWAS_scatterplotMS {MWASTools} | R Documentation

## Visualize MWAS results in MS-based scatter plot

### Description

This function creates a MS-based scatter plot (rt vs mz) based on the output from "MWAS_stats()". MS-features are filtered according to a given significance threshold and only significant features are represented in the scatter plot. The color of the marker representing each significant MS feature indicates the direction of the association (i.e. downregulation or upregulation) and the size of the marker indicates the strength of the association (i.e. -log10(p-value)).

### Usage

    MWAS_scatterplotMS (rt, mz, MWAS_matrix, alpha_th = 0.05, xlab = "rt",
                        ylab = "mz", pch = 20, scale_color = c("cornflowerblue", "red"),
                        xlim = NULL, ylim = NULL, size_axis = 10, size_lab = 10,
                        legend_position = "bottom")

### Arguments

`rt` | numeric vector of retention time values.
`mz` | numeric vector of mz values.
`MWAS_matrix` | numeric matrix resulting from the function "MWAS_stats()". The dimensions of this matrix must be consistent with the length of rt and mz
`alpha_th` | numeric value indicating the significance threshold. Only variables with p-value (corrected for multiple-testing) below alpha_th will be plotted.
`xlab` | character vector specifying a title for the x-axis.
`ylab` | character vector specifying a title for the y-axis.
`pch` | value specifying the symbol used to represent each MS feature in the scatter plot. To see all possible symbols, check "plot()" options.
`scale_color` | character vector corresponding to the 2-color scale that will be used to represent the association results. The first color of the scale indicates "downregulation", and the second color indicates "upregulation".
`xlim` | numeric vector containing the minimum and maximum values of the x-axis.
`ylim` | numeric vector containing the minimum and maximum values of the y-axis.
`size_axis` | numeric value indicating the font size of x- and y-axis title.
`size_lab` | numeric value indicating the font size of x- and y-axis labels.
`legend_position` | character vector indicating the position of the legend: "top", "bottom", "right", "left", "none".

### Value

A MS-based scatter plot where MS features are represented according to MWAS_results.

### Examples

    ## Load data
    data(MS_data)
    rt <- MS_data[, 1]
    mz <- MS_data[, 2]

    ## Simulate MWAS data
    set.seed(100)
    estimates <- runif(length(rt), -1, 1)
    pvalues <- rbeta(length(estimates), 0.5, 1)
    pFDR <- p.adjust(pvalues, method = "BH")
    MWAS_matrix <- cbind(estimates, pvalues, pFDR)

    ## MS-based scatter plot
    MWAS_scatterplotMS(rt, mz, MWAS_matrix)
    MWAS_scatterplotMS(rt, mz, MWAS_matrix, alpha_th = 0.01)
    MWAS_scatterplotMS(rt, mz, MWAS_matrix, alpha_th = 0.01,
                      scale_color = c("yellow", "blue"))

[Package MWASTools version 1.6.0 Index]