bys_funcs: Vectorised approach to group operations.

In diyar: Record Linkage and Epidemiological Case Definitions in 'R'

Vectorised approach to group operations.

Description

Vectorised approach to group operations.

Usage

bys_count(by)

bys_rank(..., by = NULL, from_last = FALSE)

bys_position(val, by = NULL, from_last = FALSE, ordered = TRUE)

bys_val(..., val, by = NULL, from_last = FALSE)

bys_nval(..., val, by = NULL, from_last = FALSE, n = 1, nmax = FALSE)

bys_min(val, by = NULL, na.rm = TRUE)

bys_max(val, by = NULL, na.rm = TRUE)

bys_sum(val, by = NULL, na.rm = TRUE)

bys_prod(val, by = NULL, na.rm = TRUE)

bys_cummin(val, by = NULL, na.rm = TRUE)

bys_cummax(val, by = NULL, na.rm = FALSE)

bys_cumsum(val, by = NULL, na.rm = TRUE)

bys_cumprod(val, by = NULL, na.rm = TRUE)

bys_lag(val, by = NULL, n = 1)

bys_lead(val, by = NULL, n = 1)

Arguments

by	[atomic]. Groups.
...	[atomic]. Sort levels
from_last	[logical] Sort order - TRUE (descending) or FALSE (ascending).
val	[atomic]. Value
ordered	If TRUE, values are sequential.
n	[integer] Position.
nmax	[logical] If TRUE, use length([by]) when n is greater than the number of records in a group.
na.rm	If TRUE, remove NA values

Value

[atomic]

Examples

x <- data.frame(
  group = c(2, 2, 1, 2, 1, 1, 1, 2, 1, 1),
  value = c(13, 14, 20, 9, 2, 1, 8, 18, 3, 17))

bys_count(x$group)
bys_position(x$value, by = x$group, from_last = TRUE)
bys_rank(by = x$group, val = x$value, from_last = TRUE)
bys_val(x$value, by = x$group, val = x$value, from_last = TRUE)
bys_nval(x$value, by = x$group, val = x$value, from_last = TRUE, n = 2)
bys_min(by = x$group, val = x$value)
bys_max(by = x$group, val = x$value)
bys_sum(by = x$group, val = x$value)
bys_prod(by = x$group, val = x$value)
bys_cummin(by = x$group, val = x$value)
bys_cummax(by = x$group, val = x$value)
bys_cumsum(by = x$group, val = x$value)
bys_cumprod(by = x$group, val = x$value)
bys_lag(by = x$group, val = x$value)
bys_lead(by = x$group, val = x$value)

diyar documentation built on Nov. 13, 2023, 1:08 a.m.