PHP and R - Putting the PoweR in PHP Statistics
summary
Time-series sales data from March 2005 (monthly, ~10 years) gets loaded into R, fitted with an ARIMA model, diagnostics produced (ACF, residuals, chi-square) and a twelve‑month forecast generated showing flat/declining growth; charts and PNG files are written to disk. PHP integration options shown: an exec-driven script builder and runner that parses R text output, an rApache/Shiny approach that returns JSON and interactive plots, and a future WebAssembly avenue; noted limits: single‑threaded and in‑memory constraints and Fortran-linked CRAN libs.
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chapters (11)
- 0:00Introduction to R
- 2:28R Language Features
- 7:40Data Analysis Demonstration
- 13:15Time Series Modeling
- 17:33Sales Forecasting
- 19:55Limitations of R
- 21:56Integrating PHP and R
- 26:09Advanced R-PHP Library
- 31:06Modern R Alternatives
- 34:38Interactive Data Apps
- 37:15Future of R and Q&A
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