Repository files navigation

Welcome to theSqueakR package!

To install the CRAN release of the package, run the following code:

install.packages(SqueakR)library(SqueakR)

To install the development version ofSqueakR, run the following code (ensure devtools is loaded first):

install_github("osimon81/SqueakR")library(SqueakR)

SqueakR represents a suite of programs designed to assist researchers with processing and exploring data from experiments which use DeepSqueak for bioacoustics projects. DeepSqueak is a machine-vision program capable of aggregating detected vocalizations based on the features a call might have, allowing subsequent analysis of call syntax, significant changes in call features across groups, etc.

For reference, the entireSqueakR suite can be foundunder this GitHub list.

The tools and resources available underSqueakR include:

• TheSqueakRpkgdown website available through GitHub. Detailed information about its functions can be found under theReference tab on the SqueakR website. TheGet started tab is the recommended site for learning how to use the package.

• Themain SqueakR Package repository, and the correspondingWiki andDiscussions sections.

• TheSqueakR package itself, and documentation describing its functions, on CRAN.

• TheSqueakR On Swirl course GitHub repository. Installing this course will teach you how to use SqueakR within RStudio itself!

If you have any questions that cannot be answered through any of these ways, feel free to contact me atsimon.ogundare@columbia.edu, and I'll get back to you as soon as possible.