anestistouloumis Goto Github PK
Name: Anestis Touloumis
Type: User
Company: University of Brighton
Twitter: anetouloumis
Location: Brighton, UK
Blog: https://research.brighton.ac.uk/en/persons/anestis-touloumis
Name: Anestis Touloumis
Type: User
Company: University of Brighton
Twitter: anetouloumis
Location: Brighton, UK
Blog: https://research.brighton.ac.uk/en/persons/anestis-touloumis
My scripts from BL5233 lectures and practicals.
My CV built using R Markdown and the vitae package.
Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.
Introduction to R
Introduction to Statistical Computing - Spring 2014
Materials for 2018 rstudio::conf shortcourse, Introduction to R & RStudio
Create Handouts with notes from your Latexbeamer presentation
GEE solver for correlated nominal or ordinal multinomial responses using a local odds ratios parameterization.
:notebook: Data Carpentry R lessons on ecology.
Tools and information about developing and improving "good" R packages
This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.
My personal RStudio configuration
Provides nonparametric Steinian shrinkage estimators of the covariance matrix that are suitable in high dimensional settings, that is when the number of variables is larger than the sample size.
Simulates correlated multinomial responses conditional on a marginal model specification.
Prediction competition for FIFA World Cup 2018
SPSS data for IRP session
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.
Various teaching material
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.