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bigPint

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see bigPint.

BIG multivariate data Plotted INTeractively


Bioconductor version: Release (3.18)

Make big data pint-sized. Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.

Author: Lindsay Rutter [aut, cre], Dianne Cook [aut]

Maintainer: Lindsay Rutter <bigpintpackage at gmail.com>

Citation (from within R, enter citation("bigPint")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("bigPint")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Software
Version 1.18.1
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL-3
Depends R (>= 3.6.0)
Imports DelayedArray(>= 0.12.2), dplyr (>= 0.7.2), GGally (>= 1.3.2), ggplot2 (>= 2.2.1), graphics (>= 3.5.0), grDevices (>= 3.5.0), grid (>= 3.5.0), gridExtra (>= 2.3), hexbin (>= 1.27.1), Hmisc (>= 4.0.3), htmlwidgets (>= 0.9), methods (>= 3.5.2), plotly (>= 4.7.1), plyr (>= 1.8.4), RColorBrewer (>= 1.1.2), reshape (>= 0.8.7), shiny (>= 1.0.5), shinycssloaders (>= 0.2.0), shinydashboard (>= 0.6.1), stats (>= 3.5.0), stringr (>= 1.3.1), SummarizedExperiment(>= 1.16.1), tidyr (>= 0.7.0), utils (>= 3.5.0)
System Requirements
URL https://github.com/lindsayrutter/bigPint
Bug Reports https://github.com/lindsayrutter/bigPint/issues
See More
Suggests BiocStyle(>= 3.18), BiocGenerics(>= 0.29.1), data.table (>= 1.11.8), EDASeq(>= 2.14.0), edgeR(>= 3.22.2), gtools (>= 3.5.0), knitr (>= 1.13), matrixStats (>= 0.53.1), rmarkdown (>= 1.10), roxygen2 (>= 3.0.0), RUnit (>= 0.4.32), tibble (>= 1.4.2)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/bigPint
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/bigPint
Package Short Url https://bioconductor.org/packages/bigPint/
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