Built on top of grid, this package aims at making a
high-level plotting system that is optimized for speed and modularity.
This has great utility for quick visualizations when testing code, with
the key benefit that visualizations are updated independently of one
another.
The suggested package fastshp can be installed with:
install.packages("fastshp", repos = "https://rforge.net", type = "source") or for binary:
install.packages('fastshp', repos = 'https://PredictiveEcology.r-universe.dev')
Building packages from source requires the appropriate development libraries for your operating system (e.g., Windows users should install Rtools).
Install from CRAN:
install.packages("quickPlot")Install from GitHub:
# install.packages("remotes")
remotes::install_github("PredictiveEcology/quickPlot", dependencies = TRUE)Install from GitHub:
# install.packages("remotes")
remotes::install_github("PredictiveEcology/quickPlot@development", dependencies = TRUE)
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