🇧🇷 A project for analyzing acceptability judgments of Brazilian Portuguese nonce words using R, focusing on syllable length and initial segment type. Includes mosaic plots and chi-square tests to assess structural effects on responses, with results suggesting no significant influence from either factor.

R Cafe community event Utrecht University

Files to reproduce analyses of Phanerozoic-scale diversity dynamics with the 'divDyn' package

Are we alone in the universe? - Data Analysis and Data Visualization of UFO sightings with R. How to analyze and visualize data of UFO sightings of the last century in the USA and the rest of the world with R language.

The new Bayesian two-stage phase II clinical trial design for the binary endpoint, BETEC design, and delta-BETEC design. It also includes the R code for STD and DTD design (Tan and Machin, 2002, SIM) and R code for BET design (Shi and Yin, 2018, biometrics).

This repo sums up my experience learning from R-Language while taking courses from either JHU's coursera sites (Data Science, Data Visualization and Tidyverse Specialization) and other resources.

Data and code for SMJ 2019 paper

Data repository for the paper of the same name.

This repository has the one species one season occupancy model of Atlapetes blancae, developed under R code. This occupancy model has been make using the "unmarked" package. Here we evaluated vegetation, enviromental and terrain covariates. Please let me know if you find any mistake.

Proyecto realizado en colaboración con Roche para evaluar la implementación de la Historia Clínica en el Perú, así como el acceso a internet por parte de los hogares y la cobertura de la banda ancha a nivel nacional. Toda la data utilizada es de acceso público.

Time Series Forecasting using ARMA/ARMAX models

Analysis of tidal water elevations for salt marshes

Data and code for OS 2024 paper

This is the data repository for the publication of the same name.

Procesamiento de datos para el estudio de ACNUR sobre immigración en Perú. Se utiliza el paquete Kobo Cruncher, desarrollado por Edouard Legoupil.

Titanic AI model trained in R code running in Docker.

Analyzed salary trends for data analysts using R, applying GAM for trend separation and AGNES clustering for technology grouping. Used feature engineering for keyword extraction and ggplot2 for visualization. Demonstrated skills in data wrangling, statistical modeling, and trend analysis.

对汽车数据使用17种分类算法进行数据分析,对代码进行实践应用和内容翻译

Ranked Set Sampling