Description Usage Arguments Details Examples
View source: R/posterior_analyses.R
Plot posterior predictive intervals of Eta (denoised ALR abundances) over observed time series for designated host
1 2 3 4 5 6 7 8 9 | plot_posterior_predictive(
host,
tax_level = "ASV",
predict_coords = NULL,
fit_obj = NULL,
logratio = "clr",
show_plot = FALSE,
plot_label = NULL
)
|
host |
host short name (e.g. ACA) |
tax_level |
taxonomic level at which to agglomerate data |
predict_coords |
ALR coordinates to visualize prediction intervals over |
fit_obj |
optional fitted model to provide; if NULL the function checks the output directory |
logratio |
logratio representation to use (e.g. "alr", "ilr", "clr") |
show_plot |
show() plot of first 2 principle coordinates (in addition to rendering first 4 PCoA to files) |
plot_label |
optional label to append to the saved filename |
Output are png files of predicted series intervals.
1 | plot_posterior_predictive(host="ZIB", tax_level="ASV", predict_coords=c(1,2,3))
|
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