4/19/2023 0 Comments Datathief alternative![]() However, often many figures need extracting from a single paper or set of papers and, so, bulk_digitise helps expedite this situation preventing users from having to constantly specify the directories were files are stored. Users can extract single figures (if this is all they have) using the extract_points function with a path name to the specific file needing extraction. The package is quite flexible and is currently being made even more flexible. Installation will make the primary functions for data extraction extract_points and bulk_digitise accessible to users along with their help files. To install metaDigitise enter the following code in R: install.packages("devtools")ĭevtools::install_github("daniel1noble/metaDigitise") It also provides users with options to conduct the necessary calculations from raw data immediately after extraction and will condense multiple figures into data frames or lists (depending on the type of figure) and these objects can easily be exported from R. metaDigitise allows users to extract information from a figure or set of figures all within the R environment making data extraction, analysis and export more streamlined. ![]() Often third party applications are used to do this (e.g., graphClick or dataThief), but often the output from these are handled separately from the analysis package, making this process more laborious than it needs to me. ![]() ![]() MetaDigitise is an R package that provides functions for extracting data and summary statistics from figures in primary research papers. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |