te_datastore_duckdb, functions and methods — te_datastore

This method is used internally by expand_trials to save the data to the "datastore" defined in set_expansion_options.

Usage

# S4 method for class 'te_datastore_duckdb'
save_expanded_data(object, data)

# S4 method for class 'te_datastore_duckdb'
read_expanded_data(object, period = NULL, subset_condition = NULL)

# S4 method for class 'te_datastore_duckdb'
sample_expanded_data(
  object,
  p_control,
  period = NULL,
  subset_condition = NULL,
  seed
)

Arguments

object: An object of class te_datastore or a child class.
data: A data frame containing the expanded trial data. The columns trial_period and id are present, which may be used in methods to save the data in an optimal way, such as with indexes, keys or separate files.
period: An integerish vector of non-zero length to select trial period(s) or NULL (default) to select all files.
subset_condition: A string of length 1 or NULL (default).
p_control: Probability of selecting a control.
seed: An integer seed or NULL (default).

Value

A 'te_datastore_duckdb' object.

Slots

path: Path to the duckdb file containing the data.
table: .
con: S4 object of class duckdb_connection.

Examples

temp_dir <- tempfile("csv_dir_")
dir.create(temp_dir)
datastore <- save_to_csv(temp_dir)
data(vignette_switch_data)
save_expanded_data(datastore, vignette_switch_data[1:200, ])
#> A TE Datastore CSV object 
#> N: 200 observations 
#> Periods: 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 
#> Path: /tmp/RtmpKwnwI6/csv_dir_17d36e4a0139 
#> Columns: id, trial_period, followup_time, outcome, weight, treatment, catvarA, catvarB, catvarC, nvarA, nvarB, nvarC, assigned_treatment 

# delete after use
unlink(temp_dir, recursive = TRUE)