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create_period_exposures()
The create_period_exposures() function provides: Aggregation of exposures into standardized time periods (month, quarter, half-year, year) Support for both point-in-time data and period-based exposure data Special handling for logarithmic values (e.g., decibel-scale noise measurements) Time-weighted averaging to account for varying exposure durations Data quality metrics to assess completeness of exposure information Flexible parameter options to customize the aggregation process
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An analysis of NY Cabs in BLR
Advanced Statistics: Hierarchical Modeling
Easy to read step-by-step introduction to multilevel models
calculate_tw_exposure()
Time-weighted exposure metrics are essential in environmental epidemiology for capturing cumulative or lagged effects of exposures such as noise or air pollution. The calculate_tw_exposure() function provides a flexible way to compute time-weighted averages, minimum/maximum values, and missingness metrics for configurable time windows around each observation.
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Practica Análisis de datos
Pemanfaatan Model ARIMA dalam Memprediksi Harga Saham di Indonesia
Indeks Harga Saham Gabungan (IHSG) merupakan salah satu indeks pasar saham yang digunakan oleh Bursa Efek Indonesia. Setiap hari IHSG mengalami fluktuasi secara tidak pasti dan menjadikan kegiatan perdagangan saham beresiko tinggi. Objek kajian ini akan lebih dipelajari untuk meramalkan harga saham di Indonesia menggunakan metode analisis deret waktu ARIMA dengan memanfaatkan software RStudio.
Final Project
air quality data
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final project
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