check_completeness(df, cols)

Report trait completeness for each column: N available, N missing, and percentage complete. Returns a tidy data frame sorted by completeness.

statisticsdata

Args:df — species × traits data framecols — column names to check (default: all numeric)

check_completeness <- function(df, cols = NULL) {
  if (is.null(cols)) cols <- names(df)[sapply(df, is.numeric)]
  out <- do.call(rbind, lapply(cols, function(col) {
    x   <- df[[col]]
    n   <- length(x)
    ok  <- sum(!is.na(x))
    data.frame(trait = col, n_total = n, n_available = ok,
               n_missing = n - ok,
               pct_complete = round(100 * ok / n, 1),
               stringsAsFactors = FALSE)
  }))
  out[order(out$pct_complete), ]
}

# Example
check_completeness(iris)