barplot_data {MACSQuantifyR} | R Documentation

## Generate barplots

### Description

Uses the informations stored in the statistic tables of the MACSQuant object to generate barplots for the specified conditions. Plots can also be saved in the form of a png file in the output_MQ directory.

### Usage

    barplot_data(MACSQuant,plt.col=NULL,plt.conditions=NULL, plt.flavour=NULL,
    plt.labels = NULL, plt.combo=FALSE,plt.3D.only = NULL,...)

### Arguments

`MACSQuant` | object of class MACSQuant resulting of the function load_maxQuant(). Contains the original data table
`plt.col` | In case of manual run is used to define the bar colors. (must be the same for all conditions)
`plt.conditions` | user defined vector of conditions to plot (example: plt.conditions=c(1:9))
`plt.flavour` | Which barplot to produce, cell count or percentage of fluorochrome (i.e: "counts","percent")
`plt.labels` | xlabels of the plot
`plt.combo` | Does the experiment involves multiple variables (i.e some condition are a drug combination screening)
`plt.3D.only` | Whether to plot 3D barplot alone
`...` | params for lattice cloud namely z and x for parameter screen default for z and x are c(-110,-70) and argument xlab and ylab

### Value

returns a barplot of the data

### Examples

    drugs_R_image <- system.file("extdata",
        "drugs.RDS",
        package = "MACSQuantifyR")
    MACSQuant <- readRDS(drugs_R_image)
    flavour <- "counts"
    number_of_conditions <-
        slot(MACSQuant, "param.experiment")$number_of_conditions
    plt.col <- c(rep(2, number_of_conditions), 1)
    barplot_data(MACSQuant,
        plt.col = plt.col,
        plt.conditions = NULL,
        plt.flavour = flavour,
        plt.labels = NULL,
        plt.combo = FALSE)

[Package MACSQuantifyR version 1.0.1 Index]