Changes in version 1.3.0 (2022-06-28)                  

version 1.3.0 [GitHub release] [CRAN release]

  - Added animal field for each added experiment data, which updates
    experiment metadata for animals field. Updated compatibility to
    match semi-automatic and automatic SqueakR pipelines, as well as
    describe_experiment() function. Updated documentation to reflect the
    change
  - Added Plotly sunburst plot (to functions list and dashboard) to
    graph proportions of collected data done per experimenter, as well
    as data collected per animal per group
  - Added Plotly 3D surface plot (plotSurface()) using 2D kernel density
    estimation to represent call density against principal frequency and
    call length
  - Added functions for unblinding experimenters to data
  - Added function — plotContours() — which renders plotSurface() as
    a 2D rendering, flanked by histograms displaying distributions of
    principal frequency and call length
  - Standardized some function naming (plotSurface instead of
    plotCallDataSurface, etc)

version 1.2.8

  - Used report package for analyses: added functions for reporting
    descriptive statistics for grouped data in SqueakR Dashboard tab
  - Deprecated SqueakR Dashboard repository on GitHub and merged
    functions into SqueakR
  - Added 3D cluster plot visualization function plotClusters() against
    call length (z), principal frequency (x) and mean power (y) using
    plotly, available in base SqueakR and on dashboard

version 1.2.5

  - Merged SqueakR dashboard into SqueakR package! Dashboard can now be
    run after loading the package by running squeakRDashboard()
  - Added function for calculating ANOVA between groups
  - Added ANOVA tab on SqueakR Dashboard for determining statistical
    significance between call features

version 1.2.0

  - Added fully-automatic pipeline function (autosqueakRpipeline())
    which references Google Sheet to add data without experimenter input
    for every file
  - Renamed experiment_pipeline() to semisqueakRpipeline()
  - Added function (remove_experiment_data()) to remove data from
    experiment object
  - Updated vignette to reflect package changes

version 1.0.0

  - Recreated NEWS.md file to track changes to the package.
  - Added functions for generating experiment and analyzing data between
    experimental groups.
  - Added visualizations including ethnograms, histograms, box-plots,
    and correlation matrices.

version 0.5.1

  - Basic set of functions without all plotting functions
  - Bug fixes
  - Prepared development release for Mac
  - Prepared development release for Windows

version 0.0.0.9000

NEWS.md setup

  - added development NEWS.md file