Last updated: 2021-03-03
Checks: 2 0
Knit directory:
fa_sim_cal/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
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These are the previous versions of the repository in which changes were made
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files. If you’ve configured a remote Git repository (see
?wflow_git_remote), click on the hyperlinks in the table below to
view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 4260c26 | Ross Gayler | 2021-03-03 | Add section header for overview documents in index |
| html | 67e6fdf | Ross Gayler | 2021-03-03 | Build site. |
| Rmd | 5b5369f | Ross Gayler | 2021-03-03 | Add workflow management notes |
| Rmd | 55ee0b1 | Ross Gayler | 2021-02-27 | end of day |
| html | 0d30c5b | Ross Gayler | 2021-01-26 | Build site. |
| html | 23d740f | Ross Gayler | 2021-01-24 | Build site. |
| Rmd | 6df8db7 | Ross Gayler | 2021-01-24 | End of day |
| html | 0c48ca5 | Ross Gayler | 2021-01-17 | Build site. |
| Rmd | 3052780 | Ross Gayler | 2021-01-17 | Add 02-1 block vars |
| html | 0405e0b | Ross Gayler | 2021-01-15 | Build site. |
| Rmd | 00a9ff4 | Ross Gayler | 2021-01-15 | wflow_publish(c(“analysis/index.Rmd”)) |
| html | 5ab5dc4 | Ross Gayler | 2021-01-15 | Build site. |
| Rmd | c674a51 | Ross Gayler | 2021-01-15 | Add 01-6 clean vars |
| html | c674a51 | Ross Gayler | 2021-01-15 | Add 01-6 clean vars |
| Rmd | 874917f | Ross Gayler | 2021-01-13 | Revise conclusion re inserted 5 in name |
| html | c0c5313 | Ross Gayler | 2021-01-13 | Build site. |
| html | 22f0b81 | Ross Gayler | 2021-01-13 | Build site. |
| Rmd | d3deb84 | Ross Gayler | 2021-01-13 | Add 01-5 check name |
| html | 44538d8 | Ross Gayler | 2021-01-12 | Build site. |
| html | 8cd5fa1 | Ross Gayler | 2021-01-12 | Build site. |
| html | abb201f | Ross Gayler | 2021-01-12 | Build site. |
| Rmd | 2ae8660 | Ross Gayler | 2021-01-12 | Add 01-4 check demog |
| html | cb9bf70 | Ross Gayler | 2021-01-12 | Build site. |
| Rmd | 84d53a0 | Ross Gayler | 2021-01-12 | Add 01-3 check resid |
| html | 6edddf5 | Ross Gayler | 2021-01-12 | Build site. |
| Rmd | 6469262 | Ross Gayler | 2021-01-12 | Add 01-2 check admin |
| html | 6469262 | Ross Gayler | 2021-01-12 | Add 01-2 check admin |
| html | 4a8c170 | Ross Gayler | 2021-01-10 | Build site. |
| Rmd | 9c13ca8 | Ross Gayler | 2021-01-10 | wflow_publish(“analysis/index.Rmd”) |
| html | 03ad324 | Ross Gayler | 2021-01-05 | Build site. |
| Rmd | b03a2c1 | Ross Gayler | 2021-01-05 | wflow_publish(c(“analysis/index.Rmd”, “analysis/notes.Rmd”)) |
| html | 80b360b | Ross Gayler | 2021-01-04 | Build site. |
| html | 856a513 | Ross Gayler | 2021-01-04 | Build site. |
| html | 838463a | Ross Gayler | 2020-12-23 | Build site. |
| html | a618d9e | Ross Gayler | 2020-12-23 | Build site. |
| Rmd | c6390cc | Ross Gayler | 2020-12-23 | wflow_publish("analysis/*.Rmd") |
| html | 36ccc82 | Ross Gayler | 2020-12-13 | Build site. |
| Rmd | f0a165a | Ross Gayler | 2020-12-13 | End of day |
| html | d5eb60b | Ross Gayler | 2020-12-10 | Build site. |
| html | 01b669c | Ross Gayler | 2020-12-10 | Build site. |
| html | 1993afa | Ross Gayler | 2020-12-10 | Build site. |
| Rmd | 9ea6d8a | Ross Gayler | 2020-12-10 | Fix figure captions |
| html | bc8c1cc | Ross Gayler | 2020-12-06 | Build site. |
| Rmd | c99ceff | Ross Gayler | 2020-12-06 | First draft of proposal |
| html | 2f9886a | Ross Gayler | 2020-12-05 | Build site. |
| html | 5f37c79 | Ross Gayler | 2020-11-30 | Build site. |
| Rmd | c2e37f3 | Ross Gayler | 2020-11-30 | Initial ndex.Rmd |
| html | c2e37f3 | Ross Gayler | 2020-11-30 | Initial ndex.Rmd |
| Rmd | 2a722d0 | Ross Gayler | 2020-11-29 | end of day |
| html | 2a722d0 | Ross Gayler | 2020-11-29 | end of day |
| html | 03b0a02 | Ross Gayler | 2020-11-04 | Build site. |
| Rmd | e163b3b | Ross Gayler | 2020-11-04 | Start workflowr project. |
This is the website for the research project “Frequency-Aware Similarity Calibration”.
If you have cloned the project to a local computer this website is
rendered in the docs subdirectory of the project directory.
If you are using workflowr to publish the research website it will
also be rendered online to GitHub Pages.
This page acts as a table of contents for the website. There are links to the web pages generated from the analysis notebooks and to the rendered versions of manuscripts/documents/presentations.
This notebook explains the central ideas behind the project.
This notebook is for keeping notes of any points that may be useful for later project or manuscript development and which are not covered in the analysis notebooks or at risk of getting lost in the notebooks.
This project uses the targets
and workflowr packages for
managing the workflow of the project (making sure that the dependencies
between computational steps are satisfied). When this work was started
there were no easily found examples of using targets and workflowr
together. This notebook contains notes on the proposed workflow for
using targets and workflowr.
Links to rendered manuscripts and presentations will go here.
Initial data preparation of imported entity records.
Import the raw data, cut it back to the subset of rows and columns that are possibly useful, sanity check the data, and save the data in an R-friendly format.
Check the “administrative” variables. This is data relating to the administration of voter registration.
Check the residence variables - residential address and phone number.
Check the demographic variables - sex, age, and birth place.
Check the name variables.
Examine the distributions of potential blocking variables.
Characterise the potential blocking variables and combinations of variables.
Detailed examination of the distributions of name frequencies induced by the string equality relation.
Detailed examination of the distributions of name frequencies induced by a string similarity relation.
Detailed examination of the calibration from similarity to probability of identity match, both unconditionally and as a function of name frequency.
Estimate multivariate compatibility models.