uniqart.number: Number of unique articles after duplicate removal
In nealhaddaway/predicter: A Tool to Estimates the Time Needed to Conduct a Systematic Review or Systematic Map
View source: R/uniqart.number.R
uniqart.number R Documentation
Number of unique articles after duplicate removal
Description
This function calculates the number of unique articles remaining in
a systematic review after results have been mergened across resources
and duplicates have been removed, based on the inputs of the total
number of search results across all resources ('original.articles')
and the percentage of results that are unique ('percent.unique').
The value of 'percent.unique' can be calculated easily from the inverse
of the duplication rate (i.e. 100 - duplication.rate). Default values are
provided based on the empirical study of environmental systematic reviews
by Haddaway and Westgate (2018) https://doi.org/10.1111/cobi.13231.
Usage
uniqart.number(orig.articles = 11786, percent.unique = 72.1)
nealhaddaway/predicter documentation built on Aug. 3, 2022, 11:40 a.m.
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.
View source: R/uniqart.number.R
| uniqart.number | R Documentation |
Number of unique articles after duplicate removal
Description
This function calculates the number of unique articles remaining in a systematic review after results have been mergened across resources and duplicates have been removed, based on the inputs of the total number of search results across all resources ('original.articles') and the percentage of results that are unique ('percent.unique'). The value of 'percent.unique' can be calculated easily from the inverse of the duplication rate (i.e. 100 - duplication.rate). Default values are provided based on the empirical study of environmental systematic reviews by Haddaway and Westgate (2018) https://doi.org/10.1111/cobi.13231.
Usage
uniqart.number(orig.articles = 11786, percent.unique = 72.1)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.