REML random-effects meta-analysis of acute exercise transcriptome in human skeletal muscle (ExTraMeta, Amar 2021)
-
Updated
Jun 12, 2026 - R
REML random-effects meta-analysis of acute exercise transcriptome in human skeletal muscle (ExTraMeta, Amar 2021)
Proyek ini menganalisis kinerja sistem antrian di Kantin GKUβ2 ITERA menggunakan pendekatan teori antrian (M/M/1 & M/M/2) untuk memahami pola kedatangan pelanggan, waktu pelayanan, dan dampaknya terhadap durasi tunggu
A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends
R scripts for analyzing Edar and Xedar gene expression data in mouse and rat tail development
Statistik dengan Excel, Bahasa R
New-user active-comparator cohort study comparing SGLT2i vs DPP4i on HF hospitalization risk. Propensity score matching, Cox PH, IPTW β full protocol, SAP, and results report in R.
A learning repository for R programming, covering data manipulation, visualization, and statistical analysis.
Hα» thα»ng phΓ’n tΓch rα»§i ro mαΊ₯t mα»c (de-peg) cα»§a Stablecoin sα» dα»₯ng mΓ΄ hΓ¬nh Logistic Regression vα»i Cluster Standard Errors, tΓch hợp quαΊ£n lΓ½ mΓ΄i trΖ°α»ng bαΊ±ng renv
Anatomy-to-electric field modeling pipeline for non-invasive brain stimulation (tDCS, N=590). Modular, JSON-configured R/Python statistical tools -- mixed-effects GLMs, parcellation-based network analysis, PCA with label clustering -- adaptable to any spatially distributed multivariate data.
π Hands on R programming for Data Analytics & Statistics π Practical scripts for visualization, insights & reporting π§ Learning by solving real world analytical problems. π§ͺ Real-use-case R Programs for data science π Covers dplyr, ggplot2, data cleaning & modeling
Reproducible ML pipeline evaluating temporal leakage in Expected Pass Turnovers (xPT) models for football analytics. Compares 4 algorithms (mixed-effects logistic, penalised logistic, random forest, XGBoost) across leakage-inclusive and leakage-corrected feature sets. Supporting code for manuscript under review.
Add a description, image, and links to the r-statistics topic page so that developers can more easily learn about it.
To associate your repository with the r-statistics topic, visit your repo's landing page and select "manage topics."