Calculate weighted frequencies — funky

Use this function to calculate simple weighted frequencies. You can also specify a grouping variable by which you want to calculate the frequencies.

The x, group, and wt arguments can either be strings or symbols (meaning they can have quotes or no quotes). The benefit of this is that it makes it really easy to iterate this function over a list or vector of variables with other functions like purrr::map() purrr::map() or purrr::walk() purrr::walk() that are found in the purrr package.

Usage

funky_freqs(data, x, group, wt, drop_zero = FALSE, decimals = 3, na.rm = TRUE)

Arguments

data: An object of type data.frame or tibble. If piping the data into the function, this is not required.
x: Either a character string or symbol. The variable with which want to get the frequencies.
group: <tidy-select> A selection of columns to group the data by in addition to treats. This operates very similarly to .by from dplyr (for more info on that see ?dplyr_by).
wt: Weights. Add if you have a weighting variable and want to get weighted frequencies.
drop_zero: Logical. Determines if rows with 0 should be removed Default is FALSE.
decimals: Number of decimals each number should be rounded to. Default is 3.
na.rm: Logical. Determines if NAs should be kept or removed Default is TRUE.