bigPint

DOI: 10.18129/B9.bioc.bigPint    

Big multivariate data plotted interactively

Bioconductor version: Release (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>

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

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
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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 http://bioconductor.org/packages/bigPint/
Package Downloads Report Download Stats

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