clean_keywords: Remove duplicate studies and punctuation
In elizagrames/litsearchr: Automated Search Term Selection and Search Strategy for Systematic Reviews
Description
Usage
Arguments
Value
Examples
View source: R/import_and_clean_data.R
Description
Replaces all miscellaneous punctuation marks used to separate keywords and replaces them with a semicolon so that keywords properly separate in later steps.
Usage
1
clean_keywords(keywords)
Arguments
keywords
a character vector containing keywords to clean
Value
a data frame with keyword punctuation standardized
Examples
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terms <- c("Picoides arcticus [Breeding season / / ] [Nests / / ]",
"[Forest and and woodland / Coniferous forest / ]",
"[Fire / Extreme wildfire / ] and [California / Sierra Nevada Mountains / ].")
clean_keywords(terms)
extract_terms(keywords=terms, method="tagged", min_freq = 1, ngrams = FALSE)
elizagrames/litsearchr documentation built on April 14, 2021, 3:42 p.m.
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Description Usage Arguments Value Examples
View source: R/import_and_clean_data.R
Description
Replaces all miscellaneous punctuation marks used to separate keywords and replaces them with a semicolon so that keywords properly separate in later steps.
Usage
1 | clean_keywords(keywords)
|
Arguments
keywords |
a character vector containing keywords to clean |
Value
a data frame with keyword punctuation standardized
Examples
1 2 3 4 5 6 7 | terms <- c("Picoides arcticus [Breeding season / / ] [Nests / / ]",
"[Forest and and woodland / Coniferous forest / ]",
"[Fire / Extreme wildfire / ] and [California / Sierra Nevada Mountains / ].")
clean_keywords(terms)
extract_terms(keywords=terms, method="tagged", min_freq = 1, ngrams = FALSE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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