Depth median — depth_median • gggda

Compute the depth median of a data set.

Usage

depth_median(x, notion = "zonoid", ...)

Arguments

x: Matrix of data whose depth median is to be calculated; see ddalpha::depth.().
notion: The name of the depth notion (shall also work with a user-defined depth function named "depth.<name>").
...: Additional parameters passed to the depth functions.

Value

A one-row matrix of depth median coordinates.

Details

This function is called internally by stat_bagplot() and can be passed to stat_center() but is also exported directly for data analysis.

Examples

# sample median
iris %>% 
  subset(select = -Species) %>% 
  depth_median()
#> Sepal.Length  Sepal.Width Petal.Length  Petal.Width 
#>          6.0          2.9          4.5          1.5 
# groupwise medians
iris %>% 
  split(~ Species) %>% 
  lapply(subset, select = -Species) %>% 
  lapply(depth_median) %>% 
  simplify2array() %>% t() %>% as.data.frame()
#>            Sepal.Length Sepal.Width Petal.Length Petal.Width
#> setosa              5.0         3.4          1.5         0.2
#> versicolor          5.7         2.8          4.1         1.3
#> virginica           7.1         3.0          5.9         2.1