This is the released version of plotGrouper; for the devel version, see plotGrouper.
Shiny app GUI wrapper for ggplot with built-in statistical analysisBioconductor version: Release (3.21)
A shiny app-based GUI wrapper for ggplot with built-in statistical analysis. Import data from file and use dropdown menus and checkboxes to specify the plotting variables, graph type, and look of your plots. Once created, plots can be saved independently or stored in a report that can be saved as a pdf. If new data are added to the file, the report can be refreshed to include new data. Statistical tests can be selected and added to the graphs. Analysis of flow cytometry data is especially integrated with plotGrouper. Count data can be transformed to return the absolute number of cells in a sample (this feature requires inclusion of the number of beads per sample and information about any dilution performed).
Author: John D. Gagnon [aut, cre]
Maintainer: John D. Gagnon <john.gagnon.42 at gmail.com>
Citation (from within R, entercitation("plotGrouper")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("plotGrouper")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("plotGrouper")
Details biocViews DataImport, FlowCytometry, GUI, GraphAndNetwork, ImmunoOncology, MultipleComparison, Software, StatisticalMethod Version 1.26.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 years) License GPL-3 Depends R (>= 3.5) Imports ggplot2 (>= 3.0.0), dplyr (>= 0.7.6), tidyr (>= 0.2.0), tibble (>= 1.4.2), stringr (>= 1.3.1), readr (>= 1.1.1), readxl (>= 1.1.0), scales (>= 1.0.0), stats, grid, gridExtra (>= 2.3), egg (>= 0.4.0), gtable (>= 0.2.0), ggpubr (>= 0.1.8), shiny (>= 1.1.0), shinythemes (>= 1.1.1), colourpicker (>= 1.0), magrittr (>= 1.5), Hmisc (>= 4.1.1), rlang (>= 0.2.2) System Requirements URL https://jdgagnon.github.io/plotGrouper/ Bug Reports https://github.com/jdgagnon/plotGrouper/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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