Add new variables to the $fac. See examples and ?dplyr::mutate.
See also
Other handling functions:
arrange(),
at_least(),
chop(),
combine(),
dissolve(),
fac_dispatcher(),
filter(),
rename(),
rescale(),
rm_harm(),
rm_missing(),
rm_uncomplete(),
rw_fac(),
sample_frac(),
sample_n(),
select(),
slice(),
subsetize()
Examples
olea
#> Opn (curves)
#> - 210 curves, 99 +/- 3 coords (in $coo)
#> - 4 classifiers (in $fac):
#> # A tibble: 210 × 4
#> var domes view ind
#> <fct> <fct> <fct> <fct>
#> 1 Aglan cult VD O10
#> 2 Aglan cult VL O10
#> 3 Aglan cult VD O11
#> 4 Aglan cult VL O11
#> 5 Aglan cult VD O12
#> 6 Aglan cult VL O12
#> # ℹ 204 more rows
#> - also: $ldk
mutate(olea, id=factor(1:length(olea)))
#> Opn (curves)
#> - 210 curves, 99 +/- 4 coords (in $coo)
#> - 5 classifiers (in $fac):
#> # A tibble: 210 × 5
#> var domes view ind id
#> <fct> <fct> <fct> <fct> <fct>
#> 1 Aglan cult VD O10 1
#> 2 Aglan cult VL O10 2
#> 3 Aglan cult VD O11 3
#> 4 Aglan cult VL O11 4
#> 5 Aglan cult VD O12 5
#> 6 Aglan cult VL O12 6
#> # ℹ 204 more rows
#> - also: $ldk