filter {Momocs} | R Documentation |
Subset based on conditions
Description
Return shapes with matching conditions, from the $fac
. See examples and ?dplyr::filter
.
Usage
filter(.data, ...)
Arguments
.data |
a |
... |
logical conditions |
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.
Value
a Momocs object of the same class.
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
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)
[Package Momocs version 1.4.1 Index]