Turns implicit missing values into explicit missing values. This is a method for the tidyr::complete() generic.

complete.tbl_lazy(data, ..., fill = list())

Arguments

data

A lazy data frame backed by a database query.

...

Specification of columns to expand. See tidyr::expand for more details.

fill

A named list that for each variable supplies a single value to use instead of NA for missing combinations.

Value

Another tbl_lazy. Use show_query() to see the generated query, and use collect() to execute the query and return data to R.

Examples

if (require("tidyr", quietly = TRUE)) { df <- memdb_frame( group = c(1:2, 1), item_id = c(1:2, 2), item_name = c("a", "b", "b"), value1 = 1:3, value2 = 4:6 ) df %>% complete(group, nesting(item_id, item_name)) # You can also choose to fill in missing values df %>% complete(group, nesting(item_id, item_name), fill = list(value1 = 0)) }
#> # Source: lazy query [?? x 5] #> # Database: sqlite 3.34.1 [:memory:] #> group item_id item_name value1 value2 #> <dbl> <dbl> <chr> <dbl> <int> #> 1 1 1 a 1 4 #> 2 1 2 b 3 6 #> 3 2 1 a 0 NA #> 4 2 2 b 2 5