Group by one or more variables — ds.group

DataSHIELD implentation of dplyr::group_by.

ds.group_by(
  df.name = NULL,
  tidy_expr,
  .add = FALSE,
  .drop = TRUE,
  newobj = NULL,
  datasources = NULL
)

Arguments

df.name: Character specifying a serverside data frame or tibble.
tidy_expr: List of variables or computations to group by.
.add: When FALSE, the default, group_by() will override existing groups. To add to the existing groups, use .add = TRUE.
.drop: Drop groups formed by factor levels that don't appear in the data? The default is TRUE except when .data has been previously grouped with .drop = FALSE.
newobj: Character specifying name for new server-side data frame.
datasources: DataSHIELD connections object.

Value

No return value, called for its side effects. A grouped data frame with class grouped_df newobj is created on the server, unless the combination of tidy_expr and .add

yields a empty set of grouping columns, in which case a tibble will be created on the server.

Examples

if (FALSE) {
ds.group_by(
  df.name = "mtcars",
  expr = list(mpg, cyl),
  newobj = "grouped_df"
)
}