Package: eider 1.0.0
eider: Declarative Feature Extraction from Tabular Data Records
Extract features from tabular data in a declarative fashion, with a focus on processing medical records. Features are specified as JSON and are independently processed before being joined. Input data can be provided as CSV files or as data frames. This setup ensures that data is transformed in a modular and reproducible manner, and allows the same pipeline to be easily applied to new data.
Authors:
eider_1.0.0.tar.gz
eider_1.0.0.zip(r-4.5)eider_1.0.0.zip(r-4.4)eider_1.0.0.zip(r-4.3)
eider_1.0.0.tgz(r-4.4-any)eider_1.0.0.tgz(r-4.3-any)
eider_1.0.0.tar.gz(r-4.5-noble)eider_1.0.0.tar.gz(r-4.4-noble)
eider_1.0.0.tgz(r-4.4-emscripten)eider_1.0.0.tgz(r-4.3-emscripten)
eider.pdf |eider.html✨
eider/json (API)
NEWS
# Install 'eider' in R: |
install.packages('eider', repos = c('https://alan-turing-institute.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alan-turing-institute/eider/issues
Last updated 7 months agofrom:1eeab80afd. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | OK | Nov 10 2024 |
R-4.5-linux | OK | Nov 10 2024 |
R-4.4-win | OK | Nov 10 2024 |
R-4.4-mac | OK | Nov 10 2024 |
R-4.3-win | OK | Nov 10 2024 |
R-4.3-mac | OK | Nov 10 2024 |
Exports:eider_examplerun_pipeline
Dependencies:clicpp11dplyrfansifsgenericsgluejsonlitelifecycleloggerlubridatemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyselecttimechangeutf8vctrswithr
An overview of features
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Combination features
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Examples: A&E data
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Examples: LTC data
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Examples: PIS data
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Examples: SMR04 data
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Filtering
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Introduction to eider
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Logging and errors
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Preprocessing
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Readme and manuals
Help Manual
Help page | Topics |
---|---|
Obtain filepaths to example data and JSON features | eider_example |
Perform the entire feature transformation process | run_pipeline |