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Split to several objects based on a factor

Source: R/cl-handling.R
chop.Rd

Rougher slicing that accepts a classifier ie a column name from the $fac on Momocs classes. Returns a named (after every level) list that can be lapply-ed and combined. See examples.

Usage

chop(.data, fac)

Arguments

.data

a Coo or Coe object

fac

a column name from the $fac

Value

a named list of Coo or Coe objects

See also

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

Examples

 olea %>%
      filter(var == "Aglan") %>% # to have a balanced nb of 'view'
      chop(~view) %>%    # split into a list of 2
      npoly %>%          # separately apply npoly
                         # strict equivalent to lapply(npoly)
      combine %>%       # recombine
      PCA %>% plot      # an illustration of the 2 views
#> 'nb.pts' missing and set to: 95
#> 'degree' missing and set to: 5
#> 'nb.pts' missing and set to: 91
#> 'degree' missing and set to: 5
#> will be deprecated soon, see ?plot_PCA

      # treated separately