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To ease the visualization of outputs from Diversity Motif Analyser (‘DiMA’; https://github.com/BVU-BILSAB/DiMA). ‘vDiveR’ allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer https://vdiver-manual.readthedocs.io/en/latest/ for more information.
# install vDiveR:
install.packages("vDiveR")
# Or the development version from GitHub:
# install.packages("devtools")
devtools::install_github("pendy05/vDiveR")
Figure 1: vDiveR functions. In the image above, purpose of each function together with its main arguments is shown. The dataframe returned from the respective functions are colored in orange.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.