Package: rfm 0.3.0
rfm: Recency, Frequency and Monetary Value Analysis
Tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a 'shiny' app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.
Authors:
rfm_0.3.0.tar.gz
rfm_0.3.0.zip(r-4.5)rfm_0.3.0.zip(r-4.4)rfm_0.3.0.zip(r-4.3)
rfm_0.3.0.tgz(r-4.4-any)rfm_0.3.0.tgz(r-4.3-any)
rfm_0.3.0.tar.gz(r-4.5-noble)rfm_0.3.0.tar.gz(r-4.4-noble)
rfm_0.3.0.tgz(r-4.4-emscripten)rfm_0.3.0.tgz(r-4.3-emscripten)
rfm.pdf |rfm.html✨
rfm/json (API)
NEWS
# Install 'rfm' in R: |
install.packages('rfm', repos = c('https://rsquaredacademy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rsquaredacademy/rfm/issues
- rfm_data_customer - RFM customer data
- rfm_data_orders - RFM transaction data
customer-analyticscustomer-segmentationrfm-analysissegmentation
Last updated 8 months agofrom:297ed8b34a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 23 2024 |
R-4.5-win | OK | Oct 23 2024 |
R-4.5-linux | OK | Oct 23 2024 |
R-4.4-win | OK | Oct 23 2024 |
R-4.4-mac | OK | Oct 23 2024 |
R-4.3-win | OK | Oct 23 2024 |
R-4.3-mac | OK | Oct 23 2024 |
Exports:rfm_bar_chartrfm_barchart_datarfm_create_reportrfm_fm_plotrfm_heatmaprfm_heatmap_datarfm_histogramsrfm_launch_apprfm_order_distrfm_plot_bar_chartrfm_plot_heatmaprfm_plot_histogramrfm_plot_median_frequencyrfm_plot_median_monetaryrfm_plot_median_recencyrfm_plot_order_distrfm_plot_revenue_distrfm_plot_segmentrfm_plot_segment_scatterrfm_plot_segment_summaryrfm_rf_plotrfm_rm_plotrfm_segmentrfm_segment_summaryrfm_table_customerrfm_table_customer_2rfm_table_order
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayoncurldigestdplyrfansifarverfastmapfontawesomefsgenericsggfittextggplot2gluegridtextgtablehtmltoolshttpuvisobandjpegjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrmarkdownMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpngpromisesR6rappdirsRColorBrewerRcpprlangsassscalesshadesshinysourcetoolsstringistringrtibbletidyselecttreemapifyutf8vctrsviridisLitewithrxfunxml2xplorerrxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bar chart data | rfm_barchart_data |
RFM report | rfm_create_report |
RFM customer data | rfm_data_customer |
RFM transaction data | rfm_data_orders |
Heatmap data | rfm_heatmap_data |
Launch shiny app | rfm_launch_app |
RFM bar chart | rfm_bar_chart rfm_plot_bar_chart |
RFM heatmap | rfm_heatmap rfm_plot_heatmap |
RFM histograms | rfm_histograms rfm_plot_histogram |
Median plots | rfm_plot_median_frequency rfm_plot_median_monetary rfm_plot_median_recency |
Customers by orders | rfm_order_dist rfm_plot_order_dist |
Revenue distribution | rfm_plot_revenue_dist |
RFM Segmentation Plot | rfm_plot_segment |
Segment Scatter Plots | rfm_plot_segment_scatter |
Visulaize segment summary | rfm_plot_segment_summary |
RFM Scatter plot | rfm_fm_plot rfm_rf_plot rfm_rm_plot |
Segmentation | rfm_segment |
Segment summary | rfm_segment_summary |
RFM table (customer data) | rfm_table_customer rfm_table_customer_2 |
RFM table (transaction data) | rfm_table_order |