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Join Data for "joined" functions

Source: R/derive_joined.R
get_joined_data.Rd

The helper function joins the data for the "joined" functions. All .join variables are included in the output dataset.

Usage

get_joined_data(
  dataset,
  dataset_add,
  by_vars = NULL,
  join_vars = NULL,
  join_type,
  first_cond_lower = NULL,
  first_cond_upper = NULL,
  order = NULL,
  tmp_obs_nr_var = NULL,
  filter_add = NULL,
  filter_join = NULL,
  check_type = "warning"
)

Arguments

dataset

Input dataset

The variables specified by the by_vars argument are expected to be in the dataset.

dataset_add

Additional dataset

The variables specified by the by_vars, the new_vars, the join_vars, and the order argument are expected.

by_vars

Grouping variables

The two datasets are joined by the specified variables.

Variables can be renamed by naming the element, i.e. by_vars = exprs(<name in input dataset> = <name in additional dataset>), similar to the dplyr joins.

Permitted Values: list of variables created by exprs() e.g. exprs(USUBJID, VISIT)

join_vars

Variables to use from additional dataset

Any extra variables required from the additional dataset for filter_join should be specified for this argument. Variables specified for new_vars do not need to be repeated for join_vars. If a specified variable exists in both the input dataset and the additional dataset, the suffix ".join" is added to the variable from the additional dataset.

If an expression is named, e.g., exprs(EXTDT = convert_dtc_to_dt(EXSTDTC)), a corresponding variable is added to the additional dataset and can be used in the filter conditions (filter_add, filter_join) and for new_vars. The variable is not included in the output dataset.

The variables are not included in the output dataset.

Permitted Values: list of variables or named expressions created by exprs()

join_type

Observations to keep after joining

The argument determines which of the joined observations are kept with respect to the original observation. For example, if join_type = "after" is specified all observations after the original observations are kept.

For example for confirmed response or BOR in the oncology setting or confirmed deterioration in questionnaires the confirmatory assessment must be after the assessment. Thus join_type = "after" could be used.

Whereas, sometimes you might allow for confirmatory observations to occur prior to the observation. For example, to identify AEs occurring on or after seven days before a COVID AE. Thus join_type = "all" could be used.

Permitted Values: "before", "after", "all"

first_cond_lower

Condition for selecting range of data (before)

If this argument is specified, the other observations are restricted from the first observation before the current observation where the specified condition is fulfilled up to the current observation. If the condition is not fulfilled for any of the other observations, no observations are considered, i.e., the observation is not flagged.

This argument should be specified if filter_join contains summary functions which should not apply to all observations but only from a certain observation before the current observation up to the current observation.

first_cond_upper

Condition for selecting range of data (after)

If this argument is specified, the other observations are restricted up to the first observation where the specified condition is fulfilled. If the condition is not fulfilled for any of the other observations, no observations are considered, i.e., the observation is not flagged.

This argument should be specified if filter_join contains summary functions which should not apply to all observations but only up to the confirmation assessment.

order

Sort order

If the argument is set to a non-null value, for each observation of the input dataset the first or last observation from the joined dataset is selected with respect to the specified order. The specified variables are expected in the additional dataset (dataset_add). If a variable is available in both dataset and dataset_add, the one from dataset_add is used for the sorting.

If an expression is named, e.g., exprs(EXSTDT = convert_dtc_to_dt(EXSTDTC), EXSEQ), a corresponding variable (EXSTDT) is added to the additional dataset and can be used in the filter conditions (filter_add, filter_join) and for join_vars and new_vars. The variable is not included in the output dataset.

For handling of NAs in sorting variables see Sort Order.

Permitted Values: list of expressions created by exprs(), e.g., exprs(ADT, desc(AVAL)) or NULL

tmp_obs_nr_var

Temporary observation number

The specified variable is added to the input dataset (dataset) and the additional dataset (dataset_add). It is set to the observation number with respect to order. For each by group (by_vars) the observation number starts with 1. The variable can be used in the conditions (filter_join, first_cond_upper, first_cond_lower). It can also be used to select consecutive observations or the last observation.

filter_add

Filter for additional dataset (dataset_add)

Only observations from dataset_add fulfilling the specified condition are joined to the input dataset. If the argument is not specified, all observations are joined.

Variables created by order or new_vars arguments can be used in the condition.

The condition can include summary functions like all() or any(). The additional dataset is grouped by the by variables (by_vars).

Permitted Values: a condition

filter_join

Filter for the joined dataset

The specified condition is applied to the joined dataset. Therefore variables from both datasets dataset and dataset_add can be used.

Variables created by order or new_vars arguments can be used in the condition.

The condition can include summary functions like all() or any(). The joined dataset is grouped by the original observations.

Permitted Values: a condition

check_type

Check uniqueness?

If "warning" or "error" is specified, the specified message is issued if the observations of the (restricted) joined dataset are not unique with respect to the by variables and the order.

This argument is ignored if order is not specified. In this case an error is issued independent of check_type if the restricted joined dataset contains more than one observation for any of the observations of the input dataset.

Permitted Values: "none", "warning", "error"

Details

  1. The variables specified by order are added to the additional dataset (dataset_add).

  2. The variables specified by join_vars are added to the additional dataset (dataset_add).

  3. The records from the additional dataset (dataset_add) are restricted to those matching the filter_add condition.

  4. The input dataset and the (restricted) additional dataset are left joined by the grouping variables (by_vars). If no grouping variables are specified, a full join is performed.

  5. The joined dataset is restricted by the filter_join condition.