group_age: Age Classes

In microbiome/microbiome: Microbiome Analytics

Age Classes

Description

Cut age information to discrete factors.

Usage

group_age(
  x,
  breaks = "decades",
  n = 10,
  labels = NULL,
  include.lowest = TRUE,
  right = FALSE,
  dig.lab = 3,
  ordered_result = FALSE
)

Arguments

x	Numeric vector (age in years)
breaks	Class break points. Either a vector of breakpoints, or one of the predefined options ("years", "decades", "even").
n	Number of groups for the breaks = "even" option.
labels	labels for the levels of the resulting category. By default, labels are constructed using "(a,b]" interval notation. If labels = FALSE, simple integer codes are returned instead of a factor.
include.lowest	logical, indicating if an ‘x[i]’ equal to the lowest (or highest, for right = FALSE) ‘breaks’ value should be included.
right	logical, indicating if the intervals should be closed on the right (and open on the left) or vice versa.
dig.lab	integer which is used when labels are not given. It determines the number of digits used in formatting the break numbers.
ordered_result	logical: should the result be an ordered factor?

Details

Regarding the breaks arguments, the "even" option aims to cut the samples in groups with approximately the same size (by quantiles). The "years" and "decades" options are self-explanatory.

Value

Factor of age groups.

Author(s)

Contact: Leo Lahti [e-mail]

References

See citation('microbiome')

See Also

base::cut

Examples

data(atlas1006)
age.numeric <- meta(atlas1006)$age
age.factor <- group_age(age.numeric)

microbiome/microbiome documentation built on Aug. 22, 2023, 7:12 a.m.