Datathief to digitize12/3/2022 ![]() ![]() Users can extract single figures (if this is all they have) using the metaDigitise() function with a path name to the directory with the file. The metaDigitise package is quite flexible. Datathief to digitize update#This makes sharing figure digitisation and reproducing the work of others simple and easy and allows meta-analysts to update existing studies more easily. It has functions that allow users to redraw their digitisations on figures, correct anything and access the raw calibration data which is written automatically for each figure that is digitised into a special caldat folder within the directory. metaDigitise has also been built for reproducibility in mind. This makes it easy to add new figures at anytime. ![]() Conveniently, when needing to process many figures at different times metaDigitise will only import figures not already completed within a directory. ![]() Summaries will condense multiple figures into data frames or lists (depending on the type of figure) and these objects can easily be exported from R, or if using the raw data, analysed in any way the user desires. It also provides users with options to conduct the necessary calculations on raw data immediately after extraction so that comparable summary statistics can be obtained quickly. 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 the output from these are handled separately from the analysis package, making this process more laborious than it needs to be given that resulting output still requires substantial downstream processing to acquire the relevant statistics of interest. MetaDigitise is an R package that provides functions for extracting raw data and summary statistics from figures in primary research papers. ![]()
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