dataprep.time: Time needed to prepare extracted data from all included...
In nealhaddaway/predicter: A Tool to Estimates the Time Needed to Conduct a Systematic Review or Systematic Map
View source: R/dataprep.time.R
dataprep.time R Documentation
Time needed to prepare extracted data from all included records
Description
This function calculates the time needed to prepare extracted data
for synthesis (i.e. calculating effect sizes and variability estimates,
like standard error) from all relevant records in a systematic review,
based on the inputs of the number of records passing the full data
extraction stage ('dataextr.number', see 'dataextr.number' function), the
number of studies whose data can be prepared per day ('dprep.day'),
and the percentage of all studies that are double checked for consistency
of data preparation ('dprep.checked'). Where full dual screening of all
records is used, this will equal a percentage of 100 abstracts
being checked. 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.time(dataextr.number = 76.12213, dprep.day = 24,
dprep.checked = 0)
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/dataprep.time.R
| dataprep.time | R Documentation |
Time needed to prepare extracted data from all included records
Description
This function calculates the time needed to prepare extracted data for synthesis (i.e. calculating effect sizes and variability estimates, like standard error) from all relevant records in a systematic review, based on the inputs of the number of records passing the full data extraction stage ('dataextr.number', see 'dataextr.number' function), the number of studies whose data can be prepared per day ('dprep.day'), and the percentage of all studies that are double checked for consistency of data preparation ('dprep.checked'). Where full dual screening of all records is used, this will equal a percentage of 100 abstracts being checked. 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.time(dataextr.number = 76.12213, dprep.day = 24, dprep.checked = 0)
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.