The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
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")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 2These 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.
Health stats visible at Monitor.