
Last chance! 50% off unlimited learning
Sale ends in
This is a method for the tidyr::expand generics. It doesn't sort the
result explicitly, so the order might be different to what expand()
returns for data frames.
# S3 method for tbl_lazy
expand(data, ..., .name_repair = "check_unique")
Another tbl_lazy
. Use show_query()
to see the generated
query, and use collect()
to execute the query
and return data to R.
A lazy data frame backed by a database query.
Specification of columns to expand. See tidyr::expand for more details.
Treatment of problematic column names:
"minimal"
: No name repair or checks, beyond basic existence,
"unique"
: Make sure names are unique and not empty,
"check_unique"
: (default value), no name repair, but check they are
unique
,
"universal"
: Make the names unique
and syntactic
a function: apply custom name repair (e.g., .name_repair = make.names
for names in the style of base R).
A purrr-style anonymous function, see rlang::as_function()
This argument is passed on as repair
to vctrs::vec_as_names()
.
See there for more details on these terms and the strategies used
to enforce them.
fruits <- memdb_frame(
type = c("apple", "orange", "apple", "orange", "orange", "orange"),
year = c(2010, 2010, 2012, 2010, 2010, 2012),
size = c("XS", "S", "M", "S", "S", "M"),
weights = rnorm(6)
)
# All possible combinations ---------------------------------------
fruits %>% tidyr::expand(type)
fruits %>% tidyr::expand(type, size)
# Only combinations that already appear in the data ---------------
fruits %>% tidyr::expand(nesting(type, size))
Run the code above in your browser using DataLab