counts returns the most or least common unique value(s)
of a vector depending on whether ascending or descending sorting is used.
Also useful for identifying data entry errors or rare cases. For complex
use cases see describe.
counts(y, n = "all", order = c("d", "a", "i"), sep = "_", na.rm = TRUE)A vector/variable (required).
The number of unique values you want frequency counts for. Default is "all".
"d" for descending/decreasing order. "a" or "i" for ascending/increasing order.
A character string to use to separate unique values from their counts ("_" by default).
Should missing values be omitted (TRUE/FALSE)?
A character vector of the unique value frequency counts from the input vector sorted in the chosen order. Return values are structured as "value_count", where the "_" portion takes on the value of the sep argument. Returning a character vector makes subsequent manipulation with stringr and other tidyverse tools fairly easily.
#using a numeric vector
y <- c(1, 1, 2, 3, 4, 5, 6, 2, 3, 4, 2, 9, 5, 6, 7, 23, 5, 6, 7, 8, 3, 4, 5, 6)
counts(y) #all unique values of y in order of descending frequency \code{y}
#> [1] "5_4" "6_4" "2_3" "3_3" "4_3" "1_2" "7_2" "23_1" "8_1" "9_1"
counts(y, n = 1) #the most common value of \code{y}
#> [1] "5_4"
counts(y, n = 5) #the top 5 most common unique values of \code{y}
#> [1] "5_4" "6_4" "2_3" "3_3" "4_3"