counts_all: Obtain the counts for unique values of all variables in a...

In bcgov/elucidate: Convenience Functions to Help Researchers Elucidate Patterns in Their Data

Obtain the counts for unique values of all variables in a data frame.

Description

counts_all is an extension of counts that returns the most or least common unique value(s) for each column vector of a data frame. Also useful for identifying data entry errors or rare cases. For complex use cases see describe_all.

Usage

counts_all(data, n = "all", order = c("d", "a", "i"), sep = "_", na.rm = TRUE)

Arguments

data	A data frame (required).
n	The number of unique values you want frequency counts for. Default is "all".
order	"d" for descending/decreasing order. "a" or "i" for ascending/increasing order.
sep	A character string to use to separate unique values from their counts ("_" by default).
na.rm	Should missing values be omitted (TRUE/FALSE)?

Value

A list of character vectors of the unique value frequency counts for each variable of the input data frame 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.

Author(s)

Craig P. Hutton, [e-mail]

See Also

table, sort, map

Examples

#using a numeric vector
data <- data(mtcars)

#all unique values of all variables in \code{data} in order of descending frequency
counts_all(data)

#the most common values of all variables in \code{data}
counts_all(data, n = 1)

#the top 5 most common unique values for all variables in  \code{data}
counts_all(data, n = 5)

bcgov/elucidate documentation built on Sept. 3, 2022, 7:16 p.m.