This R code appears to construct a `tibble` (a modern...

August 25, 2025 at 03:05 AM

df <- tibble( x = x[seq_len(n)], # generates a sequence of integers from 1 to n resid = res[seq_len(n)] # keep only non-NA values ) %>% mutate(partial = resid + beta * x)

This R code appears to construct a tibble (a modern version of a data.frame) and performs the following steps:

  1. Extracting sequences of values:

    • The variable x is assigned the first n elements of an object x using seq_len(n), which generates a sequence of integers from 1 to n. For example, if n = 5, seq_len(n) returns c(1, 2, 3, 4, 5).
    • The column resid is similarly assigned the first n elements of the object res, keeping only those specific non-missing values.
  2. Creating a tibble:

    • A tibble is created with two columns: x and resid, containing the extracted values based on the first n elements.
  3. Adding a new column with mutate():

    • The mutate() function is used to add a new column called partial.
    • The partial column is computed as the sum of resid and beta * x, where beta is likely a predetermined scalar value.

Summary

This code creates a tibble containing three columns:

  • x: The first n elements of an object named x.
  • resid: The first n elements of an object named res.
  • partial: A new computed column where each value is the sum of the corresponding resid value and the product of beta and x.

In short, it processes two input vectors (x and res), subsets them based on a sequence of length n, and then generates a new column partial based on the provided formula.

Generate your own explanations
Download our vscode extension
Read other generated explanations

Built by @thebuilderjr
Sponsored by beam analytics
Read our terms and privacy policy
Forked from openai-quickstart-node