Comparing data read and write performance in R
This post explores the performance of various data formats in R for reading and writing operations, highlighting file size, speed, and memory usage.
About Me
I am Thiago de Paula Oliveira, a statistician at AbacusBio. My research interests encompass statistical modelling, agriculture, genetics, and sports. I lead the development of advanced statistical models, economic selection indexes, and data visualization dashboards. My work is focused on providing actionable insights to drive impactful research and practical applications across various fields, including agriculture and sports performance.
Interests
- Statistics and biostatistics
- Concordance analysis
- Multilevel and forecast models
- Generalized mixed-effects models
- Longitudinal data
- Agriculture
- Sports (athlete performance)
- Dashboard app development
- Economic selection indexes
Education
PhD in Statistics
University of São Paulo
MSc in Statistics
University of São Paulo
BSc in Agricultural Engineering
University of São Paulo
📈 Expertise and Research
I am a seasoned statistician with over 13 years of experience in experimental statistics and statistical modelling. My research interests include statistical modelling, agriculture, genetics, and sports.
Currently, I am a Consultant Statistician at AbacusBio, where I leverage my expertise in statistical methods and data analysis to drive impactful research and innovative solutions. My career has been marked by the application of both qualitative and quantitative methods to explore the role of science and technology across various sectors.
I am passionate about using data to uncover insights and support decision-making processes. Whether it’s improving agricultural outcomes or enhancing athletic performance, my goal is to apply rigorous statistical techniques to solve real-world problems.
I invite you to explore my work, review my publications, and reach out if you are interested in collaboration or have any inquiries.
Featured Publications
Recent Publications
(2024).
A Hierarchical Approach for Evaluating Athlete Performance with an Application in Elite Basketball.
Scientific Reports.
(2023).
Comparison of Markerless and Marker-based Motion Capture Systems using 95% Functional Limits of Agreement in a Linear Mixed-Effects Modelling Framework.
Scientific Reports.
(2023).
Pedigree-based Animal Models Using Directed Acyclic Graphs.
Under consideration in Livestock Science.
(2023).
A method for partitioning trends in genetic mean and variance to understand breeding practices.
Genetics Selection Evolution.
Recent & Upcoming Talks
Recent Posts
Exploring Polynomial, Fractional Polynomial, and Spline Models
The ability to accurately model and interpret complex data sets is paramount. This technical exploration delves into three sophisticated modelling techniques: Polynomial Models, Fractional Polynomials, and Spline Models. Each of these models serves as a fundamental tool in the statistical toolkit, enabling us to capture and understand the intricacies of linear and non-linear relationships inherent in real-world data.
Precision & Accuracy - The Role of Concordance Correlation in Research
General idea The Concordance Correlation Coefficient (CCC) is a statistical measure designed to evaluate the agreement between two sets of measurements, such as those represented by two random variables, $X$ and $Y$.
R Programming with Efficient Snippets
Introduction In R programming, efficiency is key. Snippets, small reusable blocks of code, are a cornerstone in achieving this. This post delves into the world of snippets, offering both novice and seasoned R programmers insights into their power and versatility.
Navigating the Shiny Universe with Golem
The golem package In the world of R programming, Shiny applications let us make interactive web apps using R code. The golem package (Fay et al. 2021) makes it easier to develop these apps.
🎓 Connect with an expert statistician
My work focuses on developing advanced statistical models, economic selection indexes, dashboard applications, and Docker containers, providing actionable insights that drive impactful research in agriculture and sports performance.
Areas of impact:
- Agricultural Productivity: implemented statistical models to optimize crop yield and livestock breeding.
- Sports Analytics: developed tools to enhance athlete performance through data-driven insights.
- Public Health: contributed to COVID-19 predictive modelling efforts, aiding in effective policy-making.
Here, you can explore my latest publications, upcoming talks, and recent news in the field of statistics and biostatistics. If you are interested in collaboration or would like to learn more about my work, please do not hesitate to get in touch.
Stay connected and follow my journey in statistical modelling and data analysis: