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rank

Rank provides a customizable alternative to the built-in rank() function. The package offers the following features:

Frequency-based ranking of categorical variables: choose whether to rank based on alphabetic order or element frequency.
Control over sorting order: Use desc=TRUE to rank based on descending or ascending order.

Installation

To install rank from CRAN run:

install.packages("rank")

You can install the development version of rank like so:

# install.packages('remotes')
remotes::install_github("selkamand/rank")

Usage

library(rank)

fruits <- c("Apple", "Orange", "Apple", "Pear", "Orange")

## CATEGORICAL INPUT -----------------------

# rank alphabetically
smartrank(fruits)
#> [1] 1.5 3.5 1.5 5.0 3.5


# rank based on frequency
smartrank(fruits, sort_by = "frequency")
#> smartrank: Sorting a categorical variable by frequency: ignoring ties.method
#> [1] 2 3 2 1 3


# rank based on descending order of frequency
smartrank(fruits,sort_by = "frequency", desc = TRUE)
#> smartrank: Sorting a categorical variable by frequency: ignoring ties.method
#> [1] 1 2 1 3 2



## NUMERICAL INPUT -----------------------

# rank numerically
smartrank(c(1, 3, 2))
#> [1] 1 3 2


# rank numerically based on descending order
smartrank(c(1, 3, 2), desc = TRUE)
#> [1] 3 1 2


# always rank numerically, irrespective of sort_by
smartrank(c(1, 3, 2), sort_by = "frequency")
#> smartrank: Sorting a non-categorical variable. Ignoring `sort_by` and sorting numerically
#> [1] 1 3 2

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.