Package: cepumd 2.1.0
cepumd: Calculate Consumer Expenditure Survey (CE) Annual Estimates
Provides functions and data files to help CE Public-Use Microdata (PUMD) users calculate annual estimated expenditure means, standard errors, and quantiles according to the methods used by the CE with PUMD. For more information on the CE please visit <https://www.bls.gov/cex>. For further reading on CE estimate calculations please see the CE Calculation section of the U.S. Bureau of Labor Statistics (BLS) Handbook of Methods at <https://www.bls.gov/opub/hom/cex/calculation.htm>. For further information about CE PUMD please visit <https://www.bls.gov/cex/pumd.htm>.
Authors:
cepumd_2.1.0.tar.gz
cepumd_2.1.0.zip(r-4.5)cepumd_2.1.0.zip(r-4.4)cepumd_2.1.0.zip(r-4.3)
cepumd_2.1.0.tgz(r-4.4-any)cepumd_2.1.0.tgz(r-4.3-any)
cepumd_2.1.0.tar.gz(r-4.5-noble)cepumd_2.1.0.tar.gz(r-4.4-noble)
cepumd_2.1.0.tgz(r-4.4-emscripten)cepumd_2.1.0.tgz(r-4.3-emscripten)
cepumd.pdf |cepumd.html✨
cepumd/json (API)
NEWS
# Install 'cepumd' in R: |
install.packages('cepumd', repos = c('https://arcenis-r.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/arcenis-r/cepumd/issues
Last updated 7 months agofrom:d7dcd019e8. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | NOTE | Nov 04 2024 |
R-4.4-mac | NOTE | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:ce_hgce_meance_prepdatace_quantilesce_uccs
Dependencies:bitbit64cellrangerclicliprcpp11crayondplyrfansigenericsgluehmsjanitorlifecyclelubridatemagrittrpillarpkgconfigprettyunitsprogresspurrrR6readrreadxlrematchrlangsnakecasestringistringrtibbletidyrtidyselecttimechangetzdbutf8vctrsvroomwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Convert a CE heiarchical grouping file to a data frame | ce_hg |
Calculate a CE weighted mean | ce_mean |
Prepare CE data for calculating an estimated mean or median | ce_prepdata |
Calculate a CE weighted quantiles | ce_quantiles |
Find UCCs for expenditure categories | ce_uccs |
Generate tables of the necessary survey data files | get_survey_files |
Read in and modify EXPD files | read.expd |
Read in and modify FMLD files | read.fmld |
Read in and modify FMLI files | read.fmli |
Read in and modify MTBI files | read.mtbi |
Recode variables in interview and diary data | recode_ce_variables |