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Kata_a
Phase 2, api layer
Superstore Sales Capstone Project
Superstore Sales Capstone Project: 8 Interactive and animated visualizations
Seneca Afterburner Temperature Increase Study
Cyanide is a by-product of incomplete combustion in the multiple hearth furnace at Seneca Water Resource Recovery Facility (WRRF). The cyanide is removed from incinerator exhaust, along with other air pollutants, in the venturi and after-cooler wet scrubbers. Spent venturi and after-cooler water containing cyanide is sent to the head of the plant, mixing with plant influent before entering the primary clarifiers. Cyanide is a known inhibitor of nitrification and is thought to have contributed to the 2025 Seneca plant upset where incomplete nitrification during secondary treatment lead to high nitrite concentrations in plant effluent and subsequent failure of chlorine disinfection (See the Report titled Seneca Nitrifier Washout and Disinfection Upset for reference). Starting in August of 2025, weekly monitoring of cyanide concentrations in venturi and after-cooler waste streams was implemented. A thorough attempt was made, using multiple regression and principle component analyses, to relate cyanide production in Seneca’s incineration system with various operating parameters including incinerator, afterburner, venturi scrubber, and after-cooler setpoints and process values. However, no variables were found to strongly correlate with cyanide concentration in scrubber water streams. Multiple sources, including a publication by Daigger et al. (1998) and a 2000 WEFTEC Report by the Central Conta Costa Sanitary District (Martinez, CA) have reported that increasing the afterburner temperature to > 1300°F in a multiple hearth furnace system can serve to destroy cyanide before it is collected into aqueous streams by the wet scrubbers. Seneca WRRF currently operates their afterburners at 1250°F with process values controlling tightly to this setpoint. The following study was performed on April 30, 2026 at Seneca WRRF to determine the efficacy of increased afterburner temperatures for destroying cyanide at the plant.
BR Plot 9 Forth Survey
Digitised version of plot 9 forth survey of the biomass ranking survey done in 1989 by Greg Forsyth in the swartboskloof. Prepared by Jason Ross in 2026.
Sesión 2. Inferencia causal
BR Plot 9 Third Survey
Digitised version of the biomass rankings for plot 9 of the third survey done by Greg Forsyth in 1988 in the swartboskloof. Prepared by Jason Ross in 2026.
Résultats v.3
Plant–insect network (functional roles)
Plant-insect interactions in cranberry farms in the Centre-du-Québec region showing the different functional roles within the insect community. Green: Pollinator, Pink: Herbivore, Yellow: Predator/Omnivore, Red: Parasitoid/Parasite, Black: Plant. Dark colour show native species, and pale colours show introduced species. Zoom in for species name.
Analisi del Mercato Immobiliare
Progetto del corso di statistica descrittiva.
Pengaruh Karakteristik Sosial Ekonomi terhadap Persentase Penduduk Miskin dan Indeks Kedalaman Kemiskinan di Kabupaten/Kota Provinsi Aceh Tahun 2023 Menggunakan Analisis Regresi Multivariat
Kemiskinan merupakan permasalahan pembangunan yang tidak hanya dilihat dari besarnya persentase penduduk miskin, tetapi juga dari tingkat kedalaman kemiskinan yang dialami masyarakat. Penelitian ini bertujuan untuk menganalisis pengaruh karakteristik sosial ekonomi terhadap Persentase Penduduk Miskin dan Indeks Kedalaman Kemiskinan di kabupaten/kota Provinsi Aceh tahun 2023. Variabel independen yang digunakan meliputi AMH, RLS, TPT, dan PDRB per Kapita. Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder dari Badan Pusat Statistik Provinsi Aceh yang mencakup 23 kabupaten/kota. Metode analisis yang digunakan adalah regresi multivariat karena terdapat dua variabel dependen yang dianalisis secara simultan. Hasil penelitian menunjukkan bahwa secara simultan keempat variabel independen berpengaruh signifikan terhadap Persentase Penduduk Miskin, tetapi tidak berpengaruh signifikan terhadap Indeks Kedalaman Kemiskinan. Nilai koefisien determinasi menunjukkan bahwa model mampu menjelaskan 39,71% variasi Persentase Penduduk Miskin dan 33,19% variasi Indeks Kedalaman Kemiskinan. Hasil uji Wilks’ Lambda menunjukkan bahwa AMH merupakan variabel yang berpengaruh signifikan terhadap kedua indikator kemiskinan secara simultan. Temuan ini menunjukkan bahwa peningkatan literasi dasar menjadi salah satu faktor penting dalam mendukung upaya penanggulangan kemiskinan di Provinsi Aceh