Dividing the range of an age variable x into intervals is a frequent task. The commonly used function cut has unfavourable default values for this.
CutAge() is a convenient wrapper for cutting age variables in groups
of e.g. 10 years with more suitable defaults.
CutGen yields the generation of a person based on the year of birth.
CutAge(x, from = 0, to = 90, by = 10, right = FALSE, ordered_result = TRUE, ...)
CutGen(vintage)A factor is returned, unless labels = FALSE which results in an integer vector of level codes.
Values which fall outside the range of breaks are coded as NA, as are NaN and NA values.
continuous variable.
the starting and (maximal) end values of the sequence.
number: increment of the sequence. Default is 10, alternatives could be 5 or 20.
logical, indicating if the intervals should be closed on the right (and open on the left) or vice versa. Default is FALSE - unlike in cut!
logical: should the result be an ordered factor? Default is TRUE - unlike in cut!
the dots are passed on to the underlying function cut(). Use these for e.g. change the labels.
year of birth
Andri Signorell <andri@signorell.net>
The generations are defined as:
1946-1964 Babyboomer
1965-1979 Generation X
1980-1995 Generation Y – also known as Millennials
1996-2010 Generation Z
2011-.... Generation Alpha
Desc(CutAge(sample(100, 100)))
Run the code above in your browser using DataLab