split_imputations function

Split a flat list of imputation_single() into multiple imputation_df()'s by ID

split_imputations(list_of_singles, split_ids)

Arguments

• list_of_singles: A list of imputation_single()'s
• split_ids: A list with 1 element per required split. Each element must contain a vector of "ID"'s which correspond to the imputation_single() ID's that are required within that sample. The total number of ID's must by equal to the length of list_of_singles

Details

This function converts a list of imputations from being structured per patient to being structured per sample i.e. it converts

obj <- list(
    imputation_single("Ben", numeric(0)),
    imputation_single("Ben", numeric(0)),
    imputation_single("Ben", numeric(0)),
    imputation_single("Harry", c(1, 2)),
    imputation_single("Phil", c(3, 4)),
    imputation_single("Phil", c(5, 6)),
    imputation_single("Tom", c(7, 8, 9))
)

index <- list(
    c("Ben", "Harry", "Phil", "Tom"),
    c("Ben", "Ben", "Phil")
)

Into:

output <- list(
    imputation_df(
   imputation_single(id = "Ben", values = numeric(0)),
   imputation_single(id = "Harry", values = c(1, 2)),
   imputation_single(id = "Phil", values = c(3, 4)),
   imputation_single(id = "Tom", values = c(7, 8, 9))
    ),
    imputation_df(
   imputation_single(id = "Ben", values = numeric(0)),
   imputation_single(id = "Ben", values = numeric(0)),
   imputation_single(id = "Phil", values = c(5, 6))
    )
)