Package: cellKey 1.0.2

cellKey: Consistent Perturbation of Statistical Frequency- And Magnitude Tables

Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.

Authors:Bernhard Meindl [aut, cre]

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cellKey.pdf |cellKey.html✨
cellKey/json (API)
NEWS

# Install 'cellKey' in R:

install.packages('cellKey', repos = c('https://bernhard-da.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sdctools/usersupport/issues

Datasets:

ck_dat_hc92 - A real-world data set on persons
testdata - A real-world data set on household income and expenditures

On CRAN:

10 exports 0.09 score 77 dependencies 7 scripts 299 downloads

Last updated 10 months agofrom:7246630aad. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 21 2024
R-4.5-win	OK	Aug 21 2024
R-4.5-linux	OK	Aug 21 2024
R-4.4-win	OK	Aug 21 2024
R-4.4-mac	OK	Aug 21 2024
R-4.3-win	OK	Aug 21 2024
R-4.3-mac	OK	Aug 21 2024

Exports:ck_cnt_measures ck_create_testdata ck_flexparams ck_generate_rkeys ck_params_cnts ck_params_nums ck_read_yaml ck_setup ck_simpleparams ck_vignette

Dependencies:base64enc bslib cachem cli colorspace commonmark crayon data.table digest evaluate fansi farver fastmap flexdashboard fontawesome fs ggplot2 glpkAPI glue gtable highr hms htmltools htmlwidgets httpuv isoband jquerylib jsonlite knitr labeling later lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme nloptr pillar pkgconfig prettyunits progress promises ptable R6 rappdirs RColorBrewer Rcpp Rglpk rlang rmarkdown sass scales sdcHierarchies sdcTable shiny shinyjs shinythemes shinyTree slam sourcetools SSBtools stringi stringr tibble tinytex utf8 vctrs viridisLite withr xfun xtable yaml

Introduction to the cellKey-Package

Bernhard Meindl

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Aug 21 2024.

Last update: 2023-11-25
Started: 2023-03-10

Citation

Readme and manuals

Help Manual

Help page	Topics
R6 Class defining statistical tables that can be perturbed	cellkey_pkg ck_class ck_setup
Utility measures for perturbed counts	ck_cnt_measures
ck_create_testdata	ck_create_testdata
A real-world data set on persons	ck_dat_hc92
Set parameters required to perturb numeric variables using a flex function	ck_flexparams
Generate random record keys	ck_generate_rkeys
Create perturbation parameters for count variables	ck_params_cnts
Set perturbation parameters for continuous variables	ck_params_nums
Read perturbation parameters from yaml-files	ck_read_yaml
Set parameters required to perturb numeric variables using a simple approach	ck_simpleparams
ck_vignette	ck_vignette
A real-world data set on household income and expenditures	testdata