knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
A simple use-case that shows how deepSTRAPP can be used to test for differences in diversification rates between two trait states along evolutionary times is available here and within R: vignette("main_tutorial").
This tutorial presents the main functions in a typical deepSTRAPP workflow.
For more advanced used, please refer to the vignettes/tutorials below.
This vignette points to tutorials detailing how to use the [deepSTRAPP] package beyond the simple use-case presented in the README file and also available here: vignette("main_tutorial").
The following tutorials present more advanced usages of deepSTRAPP. They provide explanations on available arguments and interpretations of results of deepSTRAPP across multiple type of data.
● 1.1/ Full deepSTRAPP workflow for continuous trait data: vignette("deepSTRAPP_continuous_data").
● 1.2/ Full deepSTRAPP workflow for categorical trait data with 3-levels: vignette("deepSTRAPP_categorical_data").
● 1.3/ Full deepSTRAPP workflow for biogeographic range data: vignette("deepSTRAPP_biogeographic_data").
● 2.1/ Model evolution of continuous trait data: vignette("model_continuous_trait_evolution").
● 2.2/ Model evolution of categorical trait data: vignette("model_categorical_trait_evolution").
● 2.3/ Model evolution of biogeographic range data: vignette("model_biogeographic_range_evolution").
● Model diversification dynamics with BAMM within deepSTRAPP: vignette("model_diversification_dynamics").
● Test different hypotheses: vignette("explore_STRAPP_test_types").
● Explore options for plotting diversification rates through time in relation to trait data: vignette("plot_rates_through_time").
● Cut different types of (mapped) phylogenies for a given focal-time: vignette("cut_phylogenies").
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