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

Usage

# S3 method for tbl_lazy
complete(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

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 %>% tidyr::complete(group, nesting(item_id, item_name))
#> # Source:   SQL [4 x 5]
#> # Database: sqlite 3.42.0 [:memory:]
#>   group item_id item_name value1 value2
#>   <dbl>   <dbl> <chr>      <int>  <int>
#> 1     1       1 a              1      4
#> 2     1       2 b              3      6
#> 3     2       1 a             NA     NA
#> 4     2       2 b              2      5

# You can also choose to fill in missing values
df %>% tidyr::complete(group, nesting(item_id, item_name), fill = list(value1 = 0))
#> # Source:   SQL [4 x 5]
#> # Database: sqlite 3.42.0 [: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