kwr_prune: Removes unwanted queries according to YAML recipes
In MarekProkop/keywordr: Research and classify search engine queries in R!

kwr_prune

R Documentation

Removes unwanted queries according to YAML recipes

Description

If the status of the kwresearch object is 'data', it changes to 'pruned' and pruned data is created from clean data. I pruned data already exists (i.e. status = 'pruned') then pruned data are pruned again.

Usage

kwr_prune(kwr, recipe_file, quiet = FALSE)

Arguments

`kwr`	A `kwresearch` object to be pruned.
`recipe_file`	A path to a recipe file in YAML format.
`quiet`	If TRUE prints no messages.

Value

A kwresearch object with pruned data and status = 'pruned'.

Examples

queries <- data.frame(
  query = c("seo", "keyword research", "nonsense"),
  volume = c(1000, 500, 10)
)
kwr <- kwresearch(queries)

recipe_file <- file.path(tempdir(), "my-recipes.yml")
kwr_add_pattern(
  pattern = "nonsense",
  recipe_file = recipe_file,
  recipe_type = "remove"
)
kwr <- kwr_prune(kwr, recipe_file)

file.remove(recipe_file)

MarekProkop/keywordr documentation built on Nov. 6, 2022, 11:31 a.m.