Convert numeric variables to weighted factors by group

This function converts a numeric column in a data frame to a factor variable, allowing for custom break points and grouping.

Usage

cut3(tbl, var_name, breaks, groups = NULL, bf_args = list(), .inf = FALSE, ...)

Arguments

tbl

data.frame: The data frame containing the data to be converted.

var_name

character: The name of the numeric variable to convert to a factor.

breaks

numeric: Break points defining factor levels. See See Also section for more details.

groups

character: The name of the variable for grouping data before conversion.

bf_args

list: Additional arguments to be passed to the break function.

.inf

logical: Whether to extend break points with -Inf and Inf.

...

Additional arguments passed to base::cut.

Value

A data frame identical to the input tbl, with var_name converted to a factor.

See also

base::cut, for the underlying cut function used. vignette("cut3", package = "Dmisc"), for examples and extended usage.

Examples

datos <- data.frame(edad = seq(1:100))
dplyr::count(cut3(datos, "edad", 5), edad)
#>           edad  n
#> 1 (0.901,20.8] 20
#> 2  (20.8,40.6] 20
#> 3  (40.6,60.4] 20
#> 4  (60.4,80.2] 20
#> 5   (80.2,100] 20