fmapr: Apply a function row-wise on a data frame with parallelism

In functionals: Functional Programming with Parallelism and Progress Tracking

Apply a function row-wise on a data frame with parallelism

Description

Applies a function '.f' to each row of a data frame '.df', with optional parallelism and progress bar. Each row is converted to a named list before being passed to '.f', enabling flexible access to variables by name.

Usage

fmapr(.df, .f, ncores = NULL, pb = FALSE, ...)

Arguments

.df	A data frame whose rows will be iterated over.
.f	A function applied to each row, which receives a named list.
ncores	Integer. Number of cores to use for parallel processing. Default is 'NULL' (sequential).
pb	Logical. Whether to display a progress bar. Default is 'FALSE'.
...	Additional arguments passed to '.f'.

Value

A list of results returned by applying '.f' to each row as a list.

Examples

df <- data.frame(name = c("Mister", "Hipster"), age = c(30, 25))

# Create personalized messages
fmapr(df, function(row) paste(row$name, "is", row$age, "years old"))

# Row-wise model formulas
formulas <- data.frame(
  response = c("y1", "y2"),
  predictor = c("x1", "x2"),
  stringsAsFactors = FALSE
)

fmapr(formulas, function(row) {
  reformulate(row$predictor, row$response)
})

functionals documentation built on Aug. 8, 2025, 7:32 p.m.