CLiREN-LMS
Data Cleaning and Preparation in R

Handling Missing Data in Cleaning Workflows

Code Example 3

30-45 minutes Applied Step 9 of 11
Code

Code Example 3

9 / 11
Code

Code Example 3

r

outcome_due_missing <- enrollment_data |>
  filter(follow_up_due_date <= Sys.Date()) |>
  filter(is.na(primary_outcome)) |>
  select(participant_id, site, follow_up_due_date, primary_outcome)