value_count: Value Count for a Dataframe

In meerapatelmd/rubix: rubix Package

Description

Depivot a dataframe and retrieve unique counts for each column with the option of grouping the counts with a 'grouper' column.

Usage

value_count(
  data,
  names_to = "Variable",
  values_to = "Value",
  desc = TRUE,
  grouper
)

Arguments

data	A dataframe or tibble.
names_to	Passed to 'tidyr::pivot_longer()'.
values_to	Passed to 'tidyr::pivot_longer()'.
desc	If TRUE, the output is arranged in descending order. Otherwise it is arranged in ascending order.
grouper	(Optional) Group by column.

See Also

pivot_longer reexports,count,tidyeval-compat,arrange

Other summarize functions: summarize_max()

Examples

library(tidyverse)
test_data <- 
        tibble(
                Group = sample(c("Apple", "Pear"), size = 10, replace = TRUE),
                A     = sample(c(NA_integer_, 1:3), size = 10, replace = TRUE),
                B     = sample(c(NA_integer_, 4:6), size = 10, replace = TRUE),
                C     = sample(c(NA_real_, seq(from = 6.01, to = 6.09, by = 0.01)), size = 10, replace = TRUE)
        )


summarize_variables(data = test_data,
                    incl_num_calc = FALSE)

summarize_variables(data = test_data,
                    incl_num_calc = TRUE)

summarize_variables(data = test_data,
                    incl_num_calc = TRUE,
                    grouper = Group)

summarize_variables(data = test_data,
                    incl_num_calc = FALSE,
                    grouper = Group)


observation_count(data = test_data)


value_count(data = test_data)
value_count(data = test_data,
            grouper = Group)

meerapatelmd/rubix documentation built on Sept. 5, 2021, 8:30 p.m.