alyselin Goto Github PK

bookdown

Authoring Books and Technical Documents with R Markdown

cheatsheets

RStudio Cheat Sheets

data-science-in-tidyverse

Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)

datasciencecoursera

The Data Scientist’s Toolbox: Project

datasharing

The Leek group guide to data sharing

genentech-build-tidy-tools

Materials for the Building Tidy Tools workshop at Genentech 2020

getting-and-cleaning-data-course-project

Getting and Cleaning Data Course Project submitted by Edgar Manukyan

getting-and-cleaning-data-peer-assesment

Getting and Cleaning Data Peer Assesment

getting-and-cleaning-data-project

The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected.

interadapt

Shiny app for looking at the pros and cons of adaptive trial designs

learnanalytics-mr4ds

R and Microsoft R Workflows for Data Science

malmo-challenge

Task and example code for the Malmo Collaborative AI Challenge

mixada

GUI for mixture model fit

mixadaexamples

Simulated example data sets for trying mixADA

mrgsolve

Simulate from ODE-based population PK/PD and QSP models in R

packrat

Packrat is a dependency management system for R

pharmasug-r-workshop

Intro to Shiny, R Markdown, & HTML Widgets - Application in Drug Development - 2017 PharmaSUG Baltimore

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

rocker

R configurations for Docker

rstudioconf2018slides

Links to slides for talks at the 2018 rstudio::conf

rstudioconf2019-eposter

"Modernizing the Clinical Trial Analysis Pipeline with R and JavaScript" ePoster presented at RStudio::Conf(2019)

shiny

Easy interactive web applications with R

shinyworkshopdeps

summarytools

R Package for quickly and neatly summarizing vectors and dataframes

tensorflow-v1

test-repo

testing

tidyverse

Easily install and load packages from the tidyverse