bigPint

DOI: 10.18129/B9.bioc.bigPint    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see bigPint.

Big multivariate data plotted interactively

Bioconductor version: 3.9

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>

Installation

To install this package, start R (version "3.6") and enter:

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

BiocManager::install("bigPint")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("bigPint")

 

HTML	R Script	bigPint Vignette
PDF		Reference Manual
Text		NEWS

Details

biocViews	Clustering, DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, Transcription, Visualization
Version	1.0.0
In Bioconductor since	BioC 3.9 (R-3.6) (< 6 months)
License	GPL-3
Depends	R (>= 3.5.2)
Imports	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), tidyr (>= 0.7.0), utils (>= 3.5.0)
LinkingTo
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)
SystemRequirements
Enhances
URL	https://github.com/lindsayrutter/bigPint
BugReports	https://github.com/lindsayrutter/bigPint/issues
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	bigPint_1.0.0.tar.gz
Windows Binary	bigPint_1.0.0.zip
Mac OS X 10.11 (El Capitan)	bigPint_1.0.0.tgz
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