Package: ggcyto
Type: Package
Title: Visualize Cytometry data with ggplot
Version: 1.6.0
Date: 2015-11-02
Author: Mike Jiang
Maintainer: Mike Jiang <wjiang2@fhcrc.org>
Description: With the dedicated fority 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(>= 2.0.0), flowCore(>= 1.41.5), ncdfFlow(>=
        2.17.1), flowWorkspace(>= 3.17.24)
Imports: plyr, scales, data.table, RColorBrewer, gridExtra
Suggests: testthat, flowWorkspaceData, knitr, rmarkdown, flowStats,
        openCyto, flowViz, ggjoy
License: Artistic-2.0
URL: https://github.com/RGLab/ggcyto/issues
biocViews: 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'
        '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'
        'utility.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-31 00:38:31 UTC; biocbuild
Built: R 3.4.1; ; 2017-11-13 17:48:53 UTC; unix
