vlda: Visualization of Multidimensional Longitudinal Data

Assists in producing a plot that more effectively expresses changes over time for two different types (long format and wide format) using a consistent calling scheme for longitudinal data. It provides the ability to projection supplementary information (supplementary objects and variables) that can often occur in longitudinal data to graphs, as well as provides a new interactive implementation to perform the additional interpretation, so it is also useful for longitudinal data visuals analysis (see <http://lib.pusan.ac.kr/resource/e-article/?app=eds&mod=detail&record_id=edsker.000004649097&db_id=edsker> for more information).

Version: 1.1.5
Depends: R (≥ 3.6.0)
Imports: dplyr, ggrepel, ggplot2, ggiraph, ggsci
Published: 2020-06-26
Author: Seongwon Ryu [aut, cre], Bohui Lee [aut], Yongseok Choi [ctb]
Maintainer: Seongwon Ryu <seongwon6154 at gmail.com>
BugReports: https://github.com/pnuwon/vlda/issues
License: MIT + file LICENSE
URL: https://github.com/pnuwon/vlda
NeedsCompilation: yes
Materials: README
CRAN checks: vlda results

Downloads:

Reference manual: vlda.pdf
Package source: vlda_1.1.5.tar.gz
Windows binaries: r-devel: vlda_1.1.5.zip, r-devel-UCRT: vlda_1.1.5.zip, r-release: vlda_1.1.5.zip, r-oldrel: vlda_1.1.5.zip
macOS binaries: r-release (arm64): vlda_1.1.5.tgz, r-release (x86_64): vlda_1.1.5.tgz, r-oldrel: vlda_1.1.5.tgz

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