Package: ggcyto
Type: Package
Title: Visualize Cytometry data with ggplot
Version: 1.18.0
Date: 2015-11-02
Author: Mike Jiang
Maintainer: Mike Jiang <wjiang2@fhcrc.org>,Jake Wagner <jpwagner@fhcrc.org>
Description: With the dedicated fortify method implemented for flowSet,
    ncdfFlowSet and GatingSet classes, both raw and gated flow cytometry data
    can be plotted directly with ggplot. ggcyto wrapper and some customed
    layers also make it easy to add gates and population statistics to the
    plot.
VignetteBuilder: knitr
Depends: methods, ggplot2(>= 3.3.0), flowCore(>= 1.41.5), ncdfFlow(>=
        2.17.1), flowWorkspace(>= 3.33.1)
Imports: plyr, scales, hexbin, data.table, RColorBrewer, gridExtra,
        rlang
Suggests: testthat, flowWorkspaceData, knitr, rmarkdown, flowStats,
        openCyto, flowViz, ggridges, vdiffr
License: Artistic-2.0
URL: https://github.com/RGLab/ggcyto/issues
biocViews: ImmunoOncology, FlowCytometry, CellBasedAssays,
        Infrastructure, Visualization
Collate: 'AllClasses.R' 'autoplot.R' 'axis_inverse_trans.R'
        'compute_stats.R' 'fortify.R' 'fortify_fs.R' 'geom_gate.R'
        'geom_hvline.R' 'geom_overlay.R' 'geom_stats.R'
        'getFlowFrame.R' 'ggcyto.R' 'ggcyto_GatingLayout.R'
        'ggcyto_GatingSet.R' 'ggcyto_flowSet.R' 'labs.R' 'ggcyto_par.R'
        'ggplot_data_frame.R' 'merge.quad.gates.R' 'replace_data.R'
        'scales_flowCore_fasinh.R' 'scales_flowJo_biexp.R'
        'scales_flowJo_fasinh.R' 'scales_logicle.R' 'stat_position.R'
        'transform_gate.R' 'utility.R'
RoxygenNote: 7.1.0
git_url: https://git.bioconductor.org/packages/ggcyto
git_branch: RELEASE_3_12
git_last_commit: 659fc4e
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: no
Packaged: 2020-10-28 00:27:57 UTC; biocbuild
Built: R 4.0.3; ; 2020-11-01 06:04:49 UTC; unix
