Established in 1991, Luna often referred to as a" Stuart landmark" draws an eclectic neighborhood crowd. Located in the Riverview shopping and Dining district in our Historic Downtown. With it's creative mouth watering entrees and specialty pizzas, Luna knows how to satisfy all appetites and budgets. Home of the original and irresistible garlic knot. You'll be happy you stopped by! Casual dining as well as outside seating.
We're just steps away from the Historic Lyric Theatre! Present your membership card before or after your show and receive a discount on your meal. Loyal and consistent contributor to Martin County's non-profits and community initiatives!
For weekly specials and info on up-coming events at Luna and Downtown please Visit our Facebook page at: www.facebook.com/lunadowntownstuart
Tag us on Facebook and Instagram using the hashtag #letsluna
Luna is an open-source C/C++ software package for manipulating andanalyzing polysomnographic recordings, with a focus on the sleep EEG.Originally oriented around command-line scripting(lunaC), we are developing various extensions,including the Python modulelunapi and the lunaR libraryfor the R statistical package. Thecurrent release is v1.00 (31-May-2024): see here fora list of changes/additions. For any queries, please contact luna.r...@gmail.com
The Luna package comprises a number of related components, all ofwhich are oriented around the same core C/C++ library. The core libraryimplements all the commands for working with sleepsignal data. There are three main ways to use the library, all of whichprovide fundamentally the same basic functionality:
via the lunaC command-line tool: this is the original interface, and is still the best approach for working with large datasets, ideally with scripted analyses and using a Unix-like cluster-computing environment
In this documentation, we often refer to lunaC simply asLuna. Also, luna is the filename of both the actual command lineexecutable and the R package, and so we use the terms lunaC to disambiguate it fromlunapi or lunaR where necessary. Most material iscommon to all packages, as they are based on the same basic C/C++ Lunalibrary.
After downloading one or more of the Lunainterfaces, the best place to start is thetutorial. The tutorial is initially couched in terms ofthe command line tool, but versions are available for both R andPython interfaces. Then work your way through the pages listed in theleft-hand side menu. (On devices with smaller screens this may beminimized: if so, click the top left three horizontal bars icon.) Inparticular, the Concepts page describes many key ideasand conventions, that are relevant for all implementations of Luna.
Luna was originally designed to work with the large number ofpolysomnograms at the NSRR, with a focus onintersecting sleep EEG signals with other annotations. As such, someareas are not well supported, or effectively outside of Luna's scope.
Methods development platform: although the Python/R extensions can support methods development, other tools (including general purpose Matlab packages such as EEGLAB) will be better suited for expert users interested in flexibly altering and developing new analyses
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