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grafify gallery
grafify is now on CRAN and can be installed by typing install.packages("grafify").
Any updates not yet on CRAN will be made available on GitHub. To install from GitHub you also need to install the remotes package. Then type remotes::install_github("ashenoy-cmbi/grafify@*release").
grafify requires the following packages to be installed: car, emmeans, ggplot2, Hmisc, lme4, lmerTest, magrittr, mgcv, patchwork, pbkrtest, purrr, stats, tidyr.
grafify do?It makes easier for new (or advanced) users of R do the following:
grafify or ggplot2Twelve colour blind-friendly palettes are available for categorical/nominal/discreet variables.
Five colour schemes are available for quantitative data, including three sequential and two divergent schemes.
Colour schemes are implemented from excellent blogs by Paul Tol, the Okabe-Ito scheme, Mike Mol’s blog, and the cols4all package.
In addition to using these palettes with grafify graphs, these can be applied to ggplot2 objects.

Also visit the companion website on Statistics for Mico/Immuno Biologists which describes statistical tests and using base R functions to execute them (e.g. with lme4, emmeans, ggplot2).
If you use grafify, please cite
Shenoy, A. R. (2021) grafify: an R package for easy graphs, ANOVAs and post-hoc comparisons. Zenodo. http://doi.org/10.5281/zenodo.5136508
grafify hexsticker