This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

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 is the development version of bigPint; for the stable release version, see bigPint.

Big multivariate data plotted interactively

Bioconductor version: Development (3.18)

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 <lindsayannerutter 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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("bigPint")

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

Documentation

Reference Manual PDF

Details

biocViews Clustering, DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, Transcription, Visualization
Version 1.17.1
In Bioconductor since BioC 3.9 (R-3.6) (4.5 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)
Linking To
Suggests 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)
System Requirements
Enhances
URL https://github.com/lindsayrutter/bigPint
Bug Reports https://github.com/lindsayrutter/bigPint/issues
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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/
Package Downloads Report Download Stats