Basic Statistical Functions in R

Instruction: Explain how to use the 'summary' function in R and provide an example using any dataset of your choice. Describe what statistical information the function returns by default.

Context: This question evaluates the candidate's familiarity with R's built-in functions for descriptive statistics. It checks the candidate's ability to leverage R's capabilities to summarize key statistical information about data, which is crucial for any data analysis task.

Updated

Official answer available

Read the opening below, then unlock the full answer and practical guidance.

summary is a generic function: its output depends on the object's class. Numeric vectors usually report minimum, quartiles, median, mean and maximum, plus a missing count when present; factor methods count levels. A model summary is model-specific.

x <- c(1, 2, 3, 4, NA_real_) s <- summary(x) stopifnot(unname(s["Mean"]) == 2.5, unname(s["NA's"]) == 1) group...

Related Questions