Skip to contents

Easy function for splitting numeric variable in quantiles

Source: R/quantile_cut.R
quantile_cut.Rd

Using base/stats functions cut() and quantile().

Usage

quantile_cut(
  x,
  groups,
  y = NULL,
  na.rm = TRUE,
  group.names = NULL,
  ordered.f = FALSE,
  inc.outs = FALSE,
  detail.list = FALSE
)

Arguments

x

Variable to cut.

groups

Number of groups.

y

alternative vector to draw quantile cuts from. Limits has to be within x. Default is NULL.

na.rm

Remove NA's. Default is TRUE.

group.names

Names of groups to split to. Default is NULL, giving intervals as names.

ordered.f

Set resulting vector as ordered. Default is FALSE.

inc.outs

Flag to include min(x) and max(x) as borders in case of y!=NULL.

detail.list

flag to include details or not

Value

vector or list with vector and details (length 2)

Examples

aa <- as.numeric(sample(1:1000,2000,replace = TRUE))
x <- 1:450
y <- 6:750
summary(quantile_cut(aa,groups=4,detail.list=FALSE)) ## Cuts quartiles
#>     [1,240]   (240,505]   (505,768] (768,1e+03] 
#>         500         501         500         499