Sample n shapes from a Momocs object. See examples and ?dplyr::sample_n.
Arguments
- tbl
a Momocs object (Coo, Coe)
- size
numeric how many shapes should we sample
- replace
logical whether sample should be done with ot without replacement
- fac
a column name if a
$facis defined; size is then applied within levels of this factor- ...
additional arguments to dplyr::sample_n and to maintain generic compatibility
See also
Other handling functions:
arrange(),
at_least(),
chop(),
combine(),
dissolve(),
fac_dispatcher(),
filter(),
mutate(),
rename(),
rescale(),
rm_harm(),
rm_missing(),
rm_uncomplete(),
rw_fac(),
sample_frac(),
select(),
slice(),
subsetize()
Examples
# samples 5 bottles no matter their type
sample_n(bot, 5)
#> Out (outlines)
#> - 5 outlines, 162 +/- 30 coords (in $coo)
#> - 2 classifiers (in $fac):
#> # A tibble: 5 × 2
#> type fake
#> <fct> <fct>
#> 1 whisky b
#> 2 beer d
#> 3 beer d
#> 4 whisky a
#> 5 whisky b
#> - also: $ldk
# 5 bottles of beer and of whisky
table(sample_n(bot, 5, fac="type")$type)
#>
#> beer whisky
#> 5 5
# many repetitions
table(names(sample_n(bot, 400, replace=TRUE)))
#>
#> amrut ballantines brahma bushmills caney
#> 6 7 6 11 10
#> chimay chivas corona dalmore deusventrue
#> 13 16 14 17 10
#> duvel famousgrouse franziskaner glendronach glenmorangie
#> 14 15 8 12 12
#> grimbergen guiness highlandpark hoegardeen jackdaniels
#> 7 5 8 10 7
#> jb johnniewalker jupiler kingfisher latrappe
#> 7 14 9 13 10
#> lindemanskriek magallan makersmark nicechouffe oban
#> 11 11 11 9 8
#> oldpotrero pecheresse redbreast sierranevada tamdhu
#> 10 10 14 8 10
#> tanglefoot tauro westmalle wildturkey yoichi
#> 7 6 8 11 5