Create a data.frame from the Portal rodent data with specified arguments, each row corresponds to a newmmoonnumber, and missing data are interpolated.
make_portal_block(path = portalr::get_default_data_path(), filter_q = NULL, output = "abundance", plots = c(2, 4, 8, 11, 12, 14, 17, 22), ...)
path | either the file path that contains the PortalData folder or "repo", which then pulls data from the PortalData GitHub repository |
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filter_q | the numerical quantile by which to filter species. Only
species that are present at least |
output | specify whether to return "abundance", or "biomass", or "energy" |
plots | specify subset of plots; can be a vector of plots, or specific sets: "all" plots or "Longterm" plots (plots that have had the same treatment for the entire time series) |
... | arguments passed to |
a data.frame with columns for censusdate
, and each species