emilelatour Goto Github PK
Name: Emile Latour
Type: User
Company: Oregon Health & Science University
Location: Portland , OR
Name: Emile Latour
Type: User
Company: Oregon Health & Science University
Location: Portland , OR
[R package]: Datasets from "Applied Logistic Regression" by Hosmer D.W., Lemeshow S. and Sturdivant X.
A curated list of awesome tools for R package development
misc functions and aesthetic elements for my personal website
Slides for Intro to Data Viz workshop
Example code for CSP 2018 presentation
Slides, code, references, materials from 2021 CSP Workshop on Missing Data and Multiple Imputation
Archive of lesson material from an online course at Worcester Polytechnic Institute
my . files
edat -- Explore your data; quick plots and tables of a data set
Personal website of Emile Latour
A brazen two-column theme for Jekyll.
:exclamation: This is a read-only mirror of the CRAN R package repository. extracat â Categorical Data Analysis and Visualization
Workshop introducing basic and intermediate skills in tidyverse
Workshop introducing Shiny programming concepts
Talk on rslurm
A very brief intro to our coding style, mostly to introduce the pipe %>%
Additional Addins for RStudio
Calculate a various interrater agreement coefficients
Miscellaneous tools for data cleaning and other tasks.
Latour's table functions, helpers, and wrappers.
An interactive introduction to LaTeX using Overleaf.
Emile's visualization fun zone
Code for comparing the top 10 predictors to the lasso/debiased lasso
In biomedical research we often wish to classify data into two or more groups (eg. healthy and diseased) based on a variety of measurement variables, but how do you determine if the model youâve selected is good? In this BioData Club workshop instructor Crista Moreno will discuss the mathematics of logistic regression for binary classification modeling, and how to prevent the harms of overfitting with cross validation in R. Attendees will gain knowledge through hands-on exercises about the following concepts and data science skills. Logistic regression (logit function, probability, binary classification) Overfitting (adding parameters and high dimensional spaces) Cross validation Cross validation Error R (R markdown, R packages magrittr, dplyr, ggplot2, tidyr, corrplot, caret, rgl) Anyone with interest in building a classification model for biomedical data is encouraged to attend! Prior experience with R, Rstudio, and a basic knowledge of classification modeling (also mathematical functions) will be helpful, but is not a requirement.
Formatted datasets for Machine Learning With R by Brett Lantz
:white_check_mark::small_red_triangle_down: A collection of alternate R markdown templates
Machine Learning with R
Quarto template with preferences, packages and yaml headers set.
Welcome to OHSU Code Club!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â¤ď¸ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.