Extract and Summarise Data from Published Figures
single_MB_extract
specify_type
summary.metaDigitise
user_base
user_calibrate
user_count
user_numeric
user_options
user_rotate_graph
user_unique
ask_variable
bulk_edit
cal_coords
calibrate
cat_matrix
CI95_to_sd
convert_group_data
convert_histogram_data
delete_points
dir_details
edit_group
edit_metaDigitise
enter_N
error_to_sd
extract_digitised
filename
get_notDone_file_details
getExtracted
getVals
grandMean
grandSD
group_scatter_extract
histogram_extract
import_menu
import_metaDigitise
internal_digitise
internal_redraw
is.even
is.wholenumber
isNumeric
knownN
load_metaDigitise
locator_mD
getVals
MB_extract
metaDigitise
order_lists
plot.metaDigitise
point_extraction
print.metaDigitise
print_cal_instructions
process_data
process_new_files
range_to_sd
redraw_calibration
redraw_points
rotate_graph
rqm_to_mean
rqm_to_sd
se_to_sd
setup_calibration_dir
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.