dshelldhillon Goto Github PK

awesome-rshiny

An awesome R-shiny list!

become-a-full-stack-web-developer

Free resources for learning Full Stack Web Development

beginners_bayes_workshop

causality

code-for-publications

Code to reproduce some academic publications.

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)

datasaurus

R Package 📦 Containing the Datasaurus Dozen datasets :bar_chart:

electricshine

Create Standalone Installable Shiny Apps

intro-to-web-scraping

introduction_to_r

This repository contains the documentation, background material, scripts, and data for a tutorial on the Introduction to R. This introductory workshop is greared towards people with a interest/ background in geography and environmental science.

markdowntemplate

mcmcvis

R package to visualize, manipulate, and summarize MCMC output

mgcv.helper

Helper functions for using mgcv

modelselection

Tutorial on model assessment, model selection and inference after model selection

osprey

Simple, clean, and fast one-page Hugo portfolio theme accompanied by a blog

pressure-uncertainty

printy

Tools for pretty-printing numbers in RMarkdown reports

purrrogress

Add progress bars to mapping functions

reading

report

:scroll: :tada: Automated reporting of statistical models in R

resources

PyMC3 educational resources

rverbalexpressions

:construction_worker_man::speech_balloon: Create regular expressions easily

shinystudio

A Docker stack of RStudio, Shiny Server, and ShinyProxy

skpr

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

styler

Non-invasive pretty printing of R code

time_series_analysis

Review of time series using regression and neural network methods

user2019_h2o_tutorial

useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)

vitamin_d_covid

whirlwindtourofpython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"