R: Calculate boxplot values

compute_boxplot {ggvis} | R Documentation

## Calculate boxplot values

### Description

Calculate boxplot values

### Usage

    compute_boxplot(x, var = NULL, coef = 1.5)

### Arguments

`x` | Dataset-like object to compute boxplot values. There are built-in methods for data frames, grouped data frames, and ggvis visualisations.
`var` | Name of variable for which to compute boxplot values. The variable must be continuous.
`coef` | The maximum length of the whiskers as multiple of the inter-quartile range. Default value is 1.5.

### Value

A data frame with columns:

`min_` | Lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR
`lower_` | Lower hinge (25th percentile)
`median_` | Median (50th percentile)
`upper_` | Upper hinge (75th percentile)
`max_` | Upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR
`outliers_` | A vector of values that are outside of the min and max

### See Also

`layer_boxplots`

### Examples

    mtcars %>% compute_boxplot(~mpg)
    mtcars %>% group_by(cyl) %>% compute_boxplot(~mpg)

[Package ggvis version 0.4.3 Index]