CLiREN-LMS
Data Analysis in R

Summarizing Numeric Variables

Code Example 1

30-45 minutes Applied Step 7 of 9
Code

Code Example 1

7 / 9
Code

Code Example 1

r

prepared_data |>
  summarise(
    n = sum(!is.na(age_years_derived)),
    missing = sum(is.na(age_years_derived)),
    mean = mean(age_years_derived, na.rm = TRUE),
    sd = sd(age_years_derived, na.rm = TRUE),
    median = median(age_years_derived, na.rm = TRUE),
    q1 = quantile(age_years_derived, 0.25, na.rm = TRUE),
    q3 = quantile(age_years_derived, 0.75, na.rm = TRUE),
    min = min(age_years_derived, na.rm = TRUE),
    max = max(age_years_derived, na.rm = TRUE)
  )