R/dataprep.time.R

In nealhaddaway/predicter: A Tool to Estimates the Time Needed to Conduct a Systematic Review or Systematic Map

#' Time needed to prepare extracted data from all included records
#'
#' 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.

dataprep.time <- function(dataextr.number=76.12213,dprep.day=24,dprep.checked=0){
  dprep <- dataextr.number / dprep.day * ( 1 + ( dprep.checked / 100 ) )
  return(dprep)
}