dataprep.number: Number of records remaining after data preparation
In nealhaddaway/predicter: A Tool to Estimates the Time Needed to Conduct a Systematic Review or Systematic Map
View source: R/dataprep.number.R
dataprep.number R Documentation
Number of records remaining after data preparation
Description
This function calculates the number of records remaining after data preparation
(i.e. calculating effect sizes and variability estimates, like standard error)
in a systematic review, based on the inputs of the number of records remaining
after full data extraction ('dataextr.number', see 'dataextr.number'
function) and the percentage of records retained through this data preparation
stage ('ca.retained'). 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
dataprep.number(dataextr.number = 76.12213, dprep.retained = 59.2)
nealhaddaway/predicter documentation built on Aug. 3, 2022, 11:40 a.m.
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View source: R/dataprep.number.R
| dataprep.number | R Documentation |
Number of records remaining after data preparation
Description
This function calculates the number of records remaining after data preparation (i.e. calculating effect sizes and variability estimates, like standard error) in a systematic review, based on the inputs of the number of records remaining after full data extraction ('dataextr.number', see 'dataextr.number' function) and the percentage of records retained through this data preparation stage ('ca.retained'). 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
dataprep.number(dataextr.number = 76.12213, dprep.retained = 59.2)
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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