This code filters the rows of `df`, `y`, and `y_fac`...

August 25, 2025 at 03:45 AM

df <- df[complete_rows, ] y <- y[complete_rows] y_fac <- y_fac[complete_rows]

This code filters the rows of df, y, and y_fac based on the logical vector complete_rows. Here is what each line does:

  1. df <- df[complete_rows, ]:

    • This subsets the data frame df, keeping only the rows where complete_rows is TRUE.
    • df[complete_rows, ] means "select all columns (,) but only the rows specified by the logical vector complete_rows".
    • The filtered rows are then reassigned to df.
  2. y <- y[complete_rows]:

    • This subsets the vector y (1D structure) based on the logical vector complete_rows, keeping only the elements where complete_rows is TRUE.
    • The filtered values are reassigned to y.
  3. y_fac <- y_fac[complete_rows]:

    • This subsets the vector/factor y_fac in the same way as with y, keeping only the elements where complete_rows is TRUE.
    • The filtered values are reassigned to y_fac.

Summary:

  • complete_rows is a logical vector (TRUE/FALSE) indicating which rows (or elements) to keep.
  • This code ensures that df (a data frame), y (a vector), and y_fac (a vector/factor) only retain corresponding rows/elements where complete_rows is TRUE.
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