gravatar

nwstephens

Nathan Stephens

Recently Published

torch-workshop
This workshop presents a conceptual overview of the R interface for PyTorch. Emphasis will be on basic structures and applications for deep learning. Materials are based on the new book, Deep Learning and Scientific Computing with R torch by Sigrid Keydana (2023).
Xaringan
Test
Document
Database plots with dbplot
Performance comparison: odbc vs RPostgreSQL
There was no one decisive winner for all tests. The odbc R package along with the RStudio Professional Drivers was decisively faster than RPostgreSQL when collecting records. For all other operations, the differences in performance between the two packages were comparable.
Document
Performance comparison: odbc vs RPostgreSQL
There was no one decisive winner for all tests. The odbc R package along with the RStudio Professional Drivers was decisively faster than RPostgreSQL when collecting records. For all other operations, the differences in performance between the two packages were comparable.
Retro
Modest
Splendor
html_air
MAA Noise
How do noise levels change over time according to the Maryland Aviation Administration noise monitors around BWI. These data come from two reports online Supplemental Permanent Noise Monitoring Data.
Query Methods with SQL Server
There are many ways to query data with R. This document shows you three of the most common ways to query data: 1. Using DBI 2. Using dplyr syntax 3. Using R Notebooks
SQL Queries with R
This document shows you three common ways to query your databases using R: 1. DBI pass through code 2. dplyr syntax 3. An R Notebook SQL engine
Document
ggplotly with lots of colors
Document
trash
Document
junk
New York Taxi Spark Demo
Data Sizes in R
Whats the largest dataset you’ve used with #rstats?
NYR 2016 Abstract
Shiny gadgets, RStudio addins, and HTML templates are a new tools that help analysts improve their work.
AirOnTime Analysis
Is there evidence to suggest that some airline carriers gain time once their flight is delayed? This analysis compares the time gain for delayed flights against various predictors. Methods include the dplyr package, Amazon's Redshift data warehouse, and various HTML widgets.
AirOnTime Analysis
Publish Document
Air On Time Analysis
HTML