Pinned Repositories
audgendb.github.io
Static html code for the audgendb.github.io site.
52_saunters_2020
Website tracking the 52 hikes - or as Jim Muir says, "saunters" - during the year of 2020.
aas2020_slides
Slide deck of presentation to AAS 2020, entitled, "Text-mining for Cohort Ascertainment and Analysis of Patients with EVA," given on Mar. 5, 2020.
audgendb_rmd_template
R Markdown Template for use on the Audiological and Genetic Database (AudGenDB) Project, but which can be useful for other projects with minor changes.
bookdown-start
:book: A Starter Kit for Bookdown
education-materials
Resources for Arcus Education workshops
ockham
Ockham is a content-first minimalist Jekyll blog theme.
R_resources
Codebase for "Compendium of Web Resources for Learning R" Website
reticulate_ex
Introductory exercise in which R is used for data preprocessing, and Python is used in reticulate to train a Support Vector Machine for a simple classification task.
travel_db
A SQlite3 database with information on travel destinations, largely focused on outdoors activity in and around Pennsylvania.
ebciii's Repositories
ebciii/travel_db
A SQlite3 database with information on travel destinations, largely focused on outdoors activity in and around Pennsylvania.
ebciii/52_saunters_2020
Website tracking the 52 hikes - or as Jim Muir says, "saunters" - during the year of 2020.
ebciii/aas2020_slides
Slide deck of presentation to AAS 2020, entitled, "Text-mining for Cohort Ascertainment and Analysis of Patients with EVA," given on Mar. 5, 2020.
ebciii/audgendb_rmd_template
R Markdown Template for use on the Audiological and Genetic Database (AudGenDB) Project, but which can be useful for other projects with minor changes.
ebciii/bookdown-start
:book: A Starter Kit for Bookdown
ebciii/education-materials
Resources for Arcus Education workshops
ebciii/ockham
Ockham is a content-first minimalist Jekyll blog theme.
ebciii/R_resources
Codebase for "Compendium of Web Resources for Learning R" Website
ebciii/reticulate_ex
Introductory exercise in which R is used for data preprocessing, and Python is used in reticulate to train a Support Vector Machine for a simple classification task.