simaerep (version 1.0.0)

get_portf_config: Get Portfolio Configuration

Description

Get Portfolio configuration from a df_visit input dataframe. Will . filter studies with only a few sites and patients and will anonymize IDs. . Portfolio configuration can be used by sim_test_data_portfolio to generate data for an artificial portfolio.

Usage

get_portf_config(
  df_visit,
  check = TRUE,
  min_pat_per_study = 100,
  min_sites_per_study = 10,
  anonymize = TRUE,
  pad_width = 4
)

Value

dataframe with the following columns:

study_id

study identification

event_per_visit_mean

mean event per visit per study

site_id

site

max_visit_sd

standard deviation of maximum patient visits per site

max_visit_mean

mean of maximum patient visits per site

n_pat

number of patients

Arguments

df_visit

input dataframe with columns study_id, site_id, patient_id, visit, n_events. Can also be a lazy database table.

check

logical, perform standard checks on df_visit, Default: TRUE

min_pat_per_study

minimum number of patients per study, Default: 100

min_sites_per_study

minimum number of sites per study, Default: 10

anonymize

logical, Default: TRUE

pad_width

padding width for newly created IDs, Default: 4

See Also

sim_test_data_study get_portf_config sim_test_data_portfolio

Examples

df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 10,
                                 ratio_out = 0.4, factor_event_rate = - 0.6,
                                 study_id = "A")


df_visit2 <- sim_test_data_study(n_pat = 100, n_sites = 10,
                                 ratio_out = 0.2, factor_event_rate = - 0.1,
                                 study_id = "B")


df_visit <- dplyr::bind_rows(df_visit1, df_visit2)


get_portf_config(df_visit)

# \donttest{
# Database example
con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
dplyr::copy_to(con, df_visit, "visit")
tbl_visit <- dplyr::tbl(con, "visit")
get_portf_config(tbl_visit)
DBI::dbDisconnect(con)
# }