easyalluvial: manip_bin_numerics – R documentation

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manip_bin_numerics

bin numerical columns

Description

centers, scales and Yeo Johnson transforms numeric variables in a dataframe before binning into n bins of equal range. Outliers based on boxplot stats are capped (set to min or max of boxplot stats).

Usage

manip_bin_numerics(
  x,
  bins = 5,
  bin_labels = c("LL", "ML", "M", "MH", "HH"),
  center = T,
  scale = T,
  transform = T,
  round_numeric = T,
  digits = 2,
  NA_label = "NA"
)

Arguments

`x`	dataframe with numeric variables, or numeric vector
`bins`	number of bins for numerical variables, passed to cut as breaks parameter, Default: 5
`bin_labels`	labels for the bins from low to high, Default: c("LL", "ML", "M", "MH", "HH"). Can also be one of c('mean', 'median', 'min_max', 'cuts'), the corresponding summary function will supply the labels.
`center`	logical, Default: T
`scale`	logical, Default: T
`transform`	logical, apply Yeo Johnson Transformation, Default: T
`round_numeric,`	logical, rounds numeric results if bin_labels is supplied with a supported summary function name.
`digits,`	integer, number of digits to round to
`NA_label`	character vector, define label for missing data, Default: 'NA'

Value

dataframe

Examples

summary( mtcars2 )
summary( manip_bin_numerics(mtcars2) )
summary( manip_bin_numerics(mtcars2, bin_labels = 'mean'))
summary( manip_bin_numerics(mtcars2, bin_labels = 'cuts'
  , scale = FALSE, center = FALSE, transform = FALSE))

easyalluvial

Generate Alluvial Plots with a Single Line of Code

v0.3.0

CC0

Authors

Bjoern Koneswarakantha [aut, cre] (<https://orcid.org/0000-0003-4585-7799>)

Initial release