tidy() returns one set of ordination scores as a tibble, and
glance() a one-row summary of the ordination.
Arguments
- x
A
td_ordinationfromord_fit().- display
Scores to return:
"sites","species","vectors"(environmental arrows),"centroids"(factor levels),"axes"(eigenvalues and variation explained) or"envfit"(fit of passive variables).- ...
Not used.
Examples
ord <- ord_fit(png_frogs, method = "ca")
tidy(ord, "species")
#> # A tibble: 55 x 4
#> species axis1 axis2 axis3
#> <chr> <dbl> <dbl> <dbl>
#> 1 FR01 -0.983 0.702 -0.467
#> 2 FR02 -0.619 0.00967 0.321
#> 3 FR03 0.367 -1.30 0.774
#> 4 FR04 -0.0481 -0.955 1.07
#> 5 FR05 0.367 -1.30 0.774
#> 6 FR06 0.128 -1.10 0.944
#> 7 FR07 1.22 -0.521 -1.98
#> 8 FR08 -0.818 0.347 0.0591
#> 9 FR09 1.22 -0.521 -1.98
#> 10 FR10 1.20 -0.536 -1.93
#> # i 45 more rows
glance(ord)
#> # A tibble: 1 x 8
#> method n_sites n_species transform distance scaling stress constrained
#> <chr> <int> <int> <chr> <lgl> <chr> <dbl> <dbl>
#> 1 ca 8 55 none NA species NA NA