Tools to support literature review and evidence synthesis in R, including import, de-duplication and interactive display of bibliographic data.
For a complete introduction to revtools you can check out the user manual; but to get started now you can download revtools either from this site (development version) or CRAN (stable version) as follows:
install.packages("revtools") # install from CRAN devtools::install_github("mjwestgate/revtools") # install from GitHub library(revtools) # load
Once you've installed & loaded revtools, you can use any of the inbuilt apps by loading them and drag-and-dropping the data you want to analyse. All the apps export to csv format so you don't need to use R to investigate their results if you'd prefer not to. The apps available in revtools are:
screen_duplicates()to investigate potential duplicates within a dataset
screen_titles()to screen articles by title
screen_abstracts()to screen articles by abstract
screen_topics()to run topic models on bibliographic data
If you're a keen to investigate your data in the R workspace, revtools is designed to make data import as straightforward as possible. It does this by using a single function to import bibliographic data from bib, ris, ciw or csv formats:
file_location <- system.file("extdata", "avian_ecology_bibliography.ris", package = "revtools") # to import bibliographic information into a data.frame data <- read_bibliography(file_location)
Then you can pass these data to your apps as you would with any other function:
screen_topics(data) # runs using your data # you can save progress to the workspace by specifying an object: result <- screen_topics(data) # or save to a file within the app, and reload that saved file: y <- readRDS("saved_object.rds") screen_topics(y)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.