unnecessary_lambda_linter: Block usage of anonymous functions in iteration functions...

In r-lib/lintr: A 'Linter' for R Code

Block usage of anonymous functions in iteration functions when unnecessary

Description

Using an anonymous function in, e.g., lapply() is not always necessary, e.g. lapply(DF, sum) is the same as lapply(DF, function(x) sum(x)) and the former is more readable.

Usage

unnecessary_lambda_linter(allow_comparison = FALSE)

Arguments

allow_comparison

Logical, default FALSE. If TRUE, lambdas like function(x) foo(x) == 2, where foo can be extracted to the "mapping" function and == vectorized instead of called repeatedly, are linted.

Details

Cases like ⁠lapply(x, \(xi) grep("ptn", xi))⁠ are excluded because, though the anonymous function can be avoided, doing so is not always more readable.

Tags

best_practices, configurable, efficiency, readability

See Also

linters for a complete list of linters available in lintr.

Examples

# will produce lints
lint(
  text = "lapply(list(1:3, 2:4), function(xi) sum(xi))",
  linters = unnecessary_lambda_linter()
)

lint(
  text = "sapply(x, function(xi) xi == 2)",
  linters = unnecessary_lambda_linter()
)

lint(
  text = "sapply(x, function(xi) sum(xi) > 0)",
  linters = unnecessary_lambda_linter()
)

# okay
lint(
  text = "lapply(list(1:3, 2:4), sum)",
  linters = unnecessary_lambda_linter()
)

lint(
  text = 'lapply(x, function(xi) grep("ptn", xi))',
  linters = unnecessary_lambda_linter()
)

lint(
  text = "lapply(x, function(xi) data.frame(col = xi))",
  linters = unnecessary_lambda_linter()
)

lint(
  text = "sapply(x, function(xi) xi == 2)",
  linters = unnecessary_lambda_linter(allow_comparison = TRUE)
)

lint(
  text = "sapply(x, function(xi) sum(xi) > 0)",
  linters = unnecessary_lambda_linter(allow_comparison = TRUE)
)

lint(
  text = "sapply(x, function(xi) sum(abs(xi)) > 10)",
  linters = unnecessary_lambda_linter()
)

lint(
  text = "sapply(x, sum) > 0",
  linters = unnecessary_lambda_linter()
)

r-lib/lintr documentation built on Dec. 20, 2024, 7:24 p.m.