Selectively clean up variables after

Public-Health-Scotland · Jul 20, 2023 · e110cdf · e110cdf
1 parent e4c1465
commit e110cdf
Showing 1 changed file with 6 additions and 8 deletions.
diff --git a/R/create_individual_file.R b/R/create_individual_file.R
@@ -760,14 +760,12 @@ clean_individual_file <- function(individual_file, year) {
   cli::cli_alert_info("Clean individual file function started at {Sys.time()}")
 
   individual_file %>%
-    dplyr::select(
-      !c(
-        "ch_no_cost",
-        "no_paid_items",
-        "total_no_dn_contacts",
-        "cost_total_net_inc_dnas"
-      )
-    ) %>%
+    dplyr::select(dplyr::any_of(!c(
+      "ch_no_cost",
+      "no_paid_items",
+      "total_no_dn_contacts",
+      "cost_total_net_inc_dnas"
+    ))) %>%
     clean_up_gender() %>%
     dplyr::mutate(age = compute_mid_year_age(year, .data$dob))
 }