Package: didrooRFM 1.0.0
didrooRFM: Compute Recency Frequency Monetary Scores for your Customer Data
This hosts the findRFM function which generates RFM scores on a 1-5 point scale for customer transaction data. The function consumes a data frame with Transaction Number, Customer ID, Date of Purchase (in date format) and Amount of Purchase as the attributes. The function returns a data frame with RFM data for the sales information.
Authors:
didrooRFM_1.0.0.tar.gz
didrooRFM_1.0.0.zip(r-4.5)didrooRFM_1.0.0.zip(r-4.4)didrooRFM_1.0.0.zip(r-4.3)
didrooRFM_1.0.0.tgz(r-4.4-any)didrooRFM_1.0.0.tgz(r-4.3-any)
didrooRFM_1.0.0.tar.gz(r-4.5-noble)didrooRFM_1.0.0.tar.gz(r-4.4-noble)
didrooRFM_1.0.0.tgz(r-4.4-emscripten)didrooRFM_1.0.0.tgz(r-4.3-emscripten)
didrooRFM.pdf |didrooRFM.html✨
didrooRFM/json (API)
# Install 'didrooRFM' in R: |
install.packages('didrooRFM', repos = c('https://didroo55.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:9ef63a16e8. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
R-4.4-win | OK | Nov 02 2024 |
R-4.4-mac | OK | Nov 02 2024 |
R-4.3-win | OK | Nov 02 2024 |
R-4.3-mac | OK | Nov 02 2024 |
Exports:findRFM
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Compute RFM for Transaction Data | findRFM |