Package: metaDigitise 1.0.2

metaDigitise: Extract and Summarise Data from Published Figures

High-throughput, flexible and reproducible extraction of data from figures in primary research papers. metaDigitise() can extract data and / or automatically calculate summary statistics for users from box plots, bar plots (e.g., mean and errors), scatter plots and histograms.

Authors:Joel Pick [aut], Shinichi Nakagawa [aut], Daniel Noble [aut, cre]

metaDigitise_1.0.2.tar.gz
metaDigitise_1.0.2.zip(r-4.7)metaDigitise_1.0.2.zip(r-4.6)metaDigitise_1.0.2.zip(r-4.5)
metaDigitise_1.0.2.tgz(r-4.6-any)metaDigitise_1.0.2.tgz(r-4.5-any)
metaDigitise_1.0.2.tar.gz(r-4.7-any)metaDigitise_1.0.2.tar.gz(r-4.6-any)
metaDigitise_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
metaDigitise/json (API)
NEWS

# Install 'metaDigitise' in R:
install.packages('metaDigitise', repos = c('https://daniel1noble.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/daniel1noble/metadigitise/issues

On CRAN:

Conda:

7.02 score 86 stars 49 scripts 377 downloads 1 mentions 15 exports 10 dependencies

Last updated from:92dacc235a. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE130
source / vignettesOK206
linux-release-x86_64NOTE127
macos-release-arm64NOTE137
macos-oldrel-arm64NOTE193
windows-develNOTE78
windows-releaseNOTE66
windows-oldrelNOTE75
wasm-releaseOK118

Exports:CI95_to_sddir_detailserror_to_sdget_notDone_file_detailsgetExtractedgrandMeangrandSDinternal_digitisemetaDigitiseprocess_new_filesrange_to_sdrqm_to_meanrqm_to_sdse_to_sdsetup_calibration_dir

Dependencies:clicurlgluelifecyclemagickmagrittrpurrrRcpprlangvctrs

metaDigitise

Rendered frommetaDigitise.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2018-07-14
Started: 2018-07-14

Readme and manuals

Help Manual

Help pageTopics
ask_variableask_variable
bulk_editbulk_edit
cal_coordscal_coords
calibratecalibrate
cat_matrixcat_matrix
CI95_to_sdCI95_to_sd
convert_group_dataconvert_group_data
convert_histogram_dataconvert_histogram_data
delete_pointsdelete_group
dir_detailsdir_details
edit_groupedit_group
edit_metaDigitiseedit_metaDigitise
enter_Nenter_N
error_to_sderror_to_sd
extract_digitisedextract_digitised
filenamefilename
get_notDone_file_detailsget_notDone_file_details
getExtractedgetExtracted
getValsgetVals
grandMeangrandMean
grandSDgrandSD
group_scatter_extractgroup_scatter_extract
histogram_extracthistogram_extract
import_menuimport_menu
import_metaDigitiseimport_metaDigitise
internal_digitiseinternal_digitise
internal_redrawinternal_redraw
is.evenis.even
is.wholenumberis.wholenumber
isNumericisNumeric
knownNknownN
load_metaDigitiseload_metaDigitise
locator_mDlocator_mD
getValslogAxes
MB_extractMB_extract
metaDigitisemetaDigitise
order_listsorder_lists
plot.metaDigitiseplot.metaDigitise
point_extractionpoint_extraction
print_cal_instructionsprint_cal_instructions
print.metaDigitiseprint.metaDigitise
process_dataprocess_data
process_new_filesprocess_new_files
range_to_sdrange_to_sd
redraw_calibrationredraw_calibration
redraw_pointsredraw_points
rotate_graphredraw_rotation
rqm_to_meanrqm_to_mean
rqm_to_sdrqm_to_sd
se_to_sdse_to_sd
setup_calibration_dirsetup_calibration_dir
single_MB_extractsingle_MB_extract
specify_typespecify_type
summary.metaDigitisesummary.metaDigitise
user_baseuser_base
user_calibrateuser_calibrate
user_countuser_count
user_numericuser_numeric
user_optionsuser_options
user_rotate_graphuser_rotate_graph
user_uniqueuser_unique