rank_vars: Rank the data of numeric variables

In iNZightTools: Tools for 'iNZight'

Rank the data of numeric variables

Description

Rank the values of numeric variables, for example, in descending order, and then returns the result along with tidyverse code used to generate it. See row_number and percent_rank.

Usage

rank_vars(data, vars, rank_type = c("min", "dense", "percent"))

Arguments

data	a dataframe with the variables to rank
vars	a character vector of numeric variables in data to rank
rank_type	either "min", "dense" or "percent", see row_number, percent_rank

Value

the original dataframe containing new columns with the ranks of the variables in vars with tidyverse code attached

Author(s)

Zhaoming Su

See Also

code

Examples

ranked <- rank_vars(iris, vars = c("Sepal.Length", "Petal.Length"))
cat(code(ranked))
head(ranked)

iNZightTools documentation built on Oct. 12, 2023, 5:06 p.m.