Skip to contents

nmds_ecosite runs an NMDS using the vegan package. NMDS has numerous settings that can be adjusted, not all of which can be manipulated through the arguments of this function. This function is intended to be used as a quick way of producing ordinations. If you are interested in optimizing your NMDS, please do your own research. At a minimum, you should understand stress and evaluate the stress report in the results.

Usage

nmds_ecosite(veg_summary, ecosite, pres_abs, nmds_dim, reduce_species)

Arguments

veg_summary

veg_summary object where the ecositer::veg_summary() function was saved.

ecosite

ecosite is the ecosite(s) you want to include in an ordination. If you are interested in ordinating multiple ecosites together, concatenate the ecosites of interest (e.g., c("a", "b"))

pres_abs

use TRUE to convert data to presence/absence. This is the more robust option. If you have missing abundance values, presence/absence should be used. If you have abundance data, use FALSE.

nmds_dim

specify the number of dimensions you want in your NMDS. This value will affect stress considerably.

reduce_species

NA if you do not want to remove species. A numeric value, interpretted as percent, specifying the minimum percentage of plots a species must be present in to remain in the dataset.

Value

an NMDS object generated using the vegan package

Examples

formatted_veg <- formatted_veg_df(static_location = "C:/Users/Nathan.Roe/Documents/SEKI/CA792_veg.sqlite")
#> Error in formatted_veg_df(static_location = "C:/Users/Nathan.Roe/Documents/SEKI/CA792_veg.sqlite"): could not find function "formatted_veg_df"
my_veg_summary <- ecositer::veg_summary(veg_df = formatted_veg)
my_nmds <- ecositer::nmds_ecosite(veg_summary = my_veg_summary, ecosite = "F022AK100CA", pres_abs = TRUE, nmds_dim = 2, reduce_species = NA)
#> Error in veg_df %>% dplyr::group_by(vegplotid, plantsciname) %>% dplyr::summarise(sum(akstratumcoverclasspct)) %>%     dplyr::rename(pctcover = `sum(akstratumcoverclasspct)`): could not find function "%>%"