Skip to content

The metRscreen shiny app - screening for meta-analysis and systematic reviews in R

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md
Notifications You must be signed in to change notification settings

EIvimeyCook/metRscreen

Repository files navigation

metRscreen

The metRscreen shiny app allows you to screen papers via their abstracts and titles along with highlighting keywords in multiple colours. It currently works best using references exported as a .csv from Zotero. However it should work with most references given in a .csv format - be sure that your data matches the arguments in the app:

Title of MS = "Title"
Authors of MS = "Author"
Year of MS = "Publication.Year'
Publishing Journal = "Publication.Title"
Abstract of MS = "Abstract"
Keywords of MS = "Manual.Tags"

Installation

Currently the metRscreen package is not on CRAN, but you can install the development version from GitHub using the devtools package:

install.packages("devtools")
devtools::install_github("EIvimeyCook/metRscreen")
library(metRscreen)

Running metRscreen

The only function metRscreen is metRscreen(). The most important argument is "screen.file". Be sure to provide the full file path (e.g., shown in import dataset).

library(metRscreen)
metRscreen(screen.file = "~/Desktop/Example.csv")

metRscreen arguments

You can give specific rejection reasons as a vector with "reject.vec = c()".

metRscreen(screen.file = "~/Desktop/Example.csv", reject.vec = c("no control", "wrong study system"))

The .rds file that's produced allows for reloading of previous screening decisions. This will be automatically reloaded the next instance metRscreen is run and will return screening to the same state (i.e. with the same reject list, hidden or showing paper components, and any previous screening decisions).

Coming Soon

Adding a new argument which allows for non-simultaneous collaborative screening ("collab.names = c()")

About

The metRscreen shiny app - screening for meta-analysis and systematic reviews in R

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages