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Welcome to the SqueakR package!
To install the CRAN release of the package, run the following code:
install.packages(SqueakR)
library(SqueakR)To install the development version of SqueakR, 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 entire SqueakR suite can be found under this GitHub
list.
The tools and resources available under SqueakR
include:
The SqueakR pkgdown website available
through GitHub. Detailed information about its functions can be found
under the Reference tab on the SqueakR website. The Get
started tab is the recommended site for learning how to use the
package.
The main SqueakR Package repository, and the corresponding Wiki and Discussions sections.
The SqueakR package itself,
and documentation describing its functions, on CRAN.
The SqueakR 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 at simon.ogundare@columbia.edu, and I’ll get back to you as soon as possible.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.