dplyr table manipulation methods for zoomed dm objects

Use these methods without the '.zoomed_dm' suffix (see examples).

# S3 method for zoomed_dm
filter(.data, ...)

# S3 method for zoomed_dm
mutate(.data, ...)

# S3 method for zoomed_dm
transmute(.data, ...)

# S3 method for zoomed_dm
select(.data, ...)

# S3 method for zoomed_dm
rename(.data, ...)

# S3 method for zoomed_dm
distinct(.data, ..., .keep_all = FALSE)

# S3 method for zoomed_dm
arrange(.data, ...)

# S3 method for zoomed_dm
slice(.data, ..., .keep_pk = NULL)

# S3 method for zoomed_dm
group_by(.data, ...)

# S3 method for zoomed_dm
ungroup(x, ...)

# S3 method for zoomed_dm
summarise(.data, ...)

# S3 method for zoomed_dm
count(
  x,
  ...,
  wt = NULL,
  sort = FALSE,
  name = NULL,
  .drop = group_by_drop_default(x)
)

# S3 method for zoomed_dm
tally(x, ...)

# S3 method for zoomed_dm
pull(.data, var = -1, ...)

Arguments

.data	object of class zoomed_dm
...	see corresponding function in package dplyr or tidyr
.keep_all	For distinct.zoomed_dm(): see dplyr::distinct
.keep_pk	For slice.zoomed_dm: Logical, if TRUE, the primary key will be retained during this transformation. If FALSE, it will be dropped. By default, the value is NULL, which causes the function to issue a message in case a primary key is available for the zoomed table. This argument is specific for the slice.zoomed_dm() method.
x	For ungroup.zoomed_dm: object of class zoomed_dm
wt	<data-masking> Frequency weights. Can be NULL or a variable: If NULL (the default), counts the number of rows in each group. If a variable, computes sum(wt) for each group.
sort	If TRUE, will show the largest groups at the top.
name	The name of the new column in the output. If omitted, it will default to n. If there's already a column called n, it will error, and require you to specify the name.
.drop	For count(): if FALSE will include counts for empty groups (i.e. for levels of factors that don't exist in the data). Deprecated in add_count() since it didn't actually affect the output.
var	A variable specified as: a literal variable name a positive integer, giving the position counting from the left a negative integer, giving the position counting from the right. The default returns the last column (on the assumption that's the column you've created most recently). This argument is taken by expression and supports quasiquotation (you can unquote column names and column locations).

Examples

zoomed <- dm_nycflights13() %>%
  dm_zoom_to(flights) %>%
  group_by(month) %>%
  arrange(desc(day)) %>%
  summarize(avg_air_time = mean(air_time, na.rm = TRUE))
zoomed
#> # Zoomed table: flights
#> # A tibble:     12 x 2
#>    month avg_air_time
#>    <int>        <dbl>
#>  1     1         147.
#>  2     2         149.
#>  3     3         144.
#>  4     4         158.
#>  5     5         147.
#>  6     6         152.
#>  7     7         153.
#>  8     8         157.
#>  9     9         138.
#> 10    10         143.
#> 11    11         157.
#> 12    12         179.
dm_insert_zoomed(zoomed, new_tbl_name = "avg_air_time_per_month")
#> ── Metadata ────────────────────────────────────────────────────────────────────
#> Tables: `airlines`, `airports`, `flights`, `planes`, `weather`, `avg_air_time_per_month`
#> Columns: 55
#> Primary keys: 3
#> Foreign keys: 3