plotDistribution {psichomics} | R Documentation

## Plot distribution through a density plot

### Description

The tooltip shows the median, variance, max, min and number of non-NA samples of each data series.

### Usage

    plotDistribution(data, groups = NULL, rug = TRUE, vLine = TRUE, ...,
      title = NULL, psi = NULL, rugLabels = FALSE)

### Arguments

`data` | Numeric, data frame or matrix: data for one gene or alternative splicing event
`groups` | List of characters (list of groups containing data identifiers) or character vector (group of each value in `data`); if `NULL` or a character vector of length 1, all data points will be considered of the same group
`rug` | Boolean: include rug plot to better visualise data distribution
`vLine` | Boolean: include vertical plot lines to display descriptive statistics for each group
`...` | Extra parameters passed to `density` to create the kernel density estimates
`title` | Character: plot title
`psi` | Boolean: are data composed of PSI values? Automatically set to `TRUE` if all `data` values are between 0 and 1
`rugLabels` | Boolean: plot names or colnames of `data` in the rug?

### Value

Highcharter object with density plot

### Examples

    data   <- sample(20, rep=TRUE)/20
    groups <- paste("Group", c(rep("A", 10), rep("B", 10)))
    label  <- paste("Sample", 1:20)
    plotDistribution(data, groups, label=label)

[Package psichomics version 1.10.2 Index]