A 'ggplot2'-consistent approach to generating 2D displays of volumetric brain imaging data. Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects, inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.
Version: | 0.8.1 |
Depends: | R (≥ 3.5.0) |
Imports: | Matrix, RNifti, checkmate, data.table, dplyr, ggplot2, ggnewscale, ggrepel, glue, imager, patchwork, rlang, tibble, tidyr, tidyselect, Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown |
Published: | 2023-03-21 |
DOI: | 10.32614/CRAN.package.ggbrain |
Author: | Michael Hallquist [aut, cre] |
Maintainer: | Michael Hallquist <michael.hallquist at gmail.com> |
BugReports: | https://github.com/michaelhallquist/ggbrain/issues |
License: | GPL (≥ 3) |
URL: | https://michaelhallquist.github.io/ggbrain/ |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | ggbrain results |
Reference manual: | ggbrain.pdf |
Vignettes: |
Aesthetic refinement of ggbrain plots Introduction to ggbrain Working with annotations and labels in ggbrain |
Package source: | ggbrain_0.8.1.tar.gz |
Windows binaries: | r-devel: ggbrain_0.8.1.zip, r-release: ggbrain_0.8.1.zip, r-oldrel: ggbrain_0.8.1.zip |
macOS binaries: | r-release (arm64): ggbrain_0.8.1.tgz, r-oldrel (arm64): ggbrain_0.8.1.tgz, r-release (x86_64): ggbrain_0.8.1.tgz, r-oldrel (x86_64): ggbrain_0.8.1.tgz |
Old sources: | ggbrain archive |
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