Momocs (version 1.3.2)

filter: Subset based on conditions

Description

Return shapes with matching conditions, from the $fac. See examples and ?dplyr::filter.

Usage

filter(.data, ...)

Arguments

.data

a Coo, Coe, PCA object

...

logical conditions

Value

a Momocs object of the same class.

Details

dplyr verbs are maintained. You should probbaly not filter on PCA objects. The latter are calculated using all individuals and filtering may lead to false conclusions. If you want to highlith some individuals, see examples in plot_PCA.

See Also

Other handling functions: arrange(), at_least(), chop(), combine(), dissolve(), fac_dispatcher(), mutate(), rename(), rescale(), rm_harm(), rm_missing(), rm_uncomplete(), rw_fac(), sample_frac(), sample_n(), select(), slice(), subsetize()

Examples

# NOT RUN {
olea
# we retain on dorsal views
filter(olea, view=="VD")
# only dorsal views and Aglan+PicMa varieties
filter(olea, view=="VD", var %in% c("Aglan", "PicMa"))
# we create an id column and retain the 120 first shapes
olea %>% mutate(id=1:length(olea)) %>% filter(id > 120)
# }