Generate bootstrap distribution for median
When building a bootstrap distribution for a single statistic, we first generate a series of bootstrap resamples, and then record the relevant statistic (in this case, the median) of each distribution.
In this exercise, the tidyverse packages, including ggplot2 have been loaded for you, as has infer.
Este ejercicio forma parte del curso
Inference for Numerical Data in R
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Generate bootstrap distribution of medians
rent_med_ci <- manhattan %>%
# Specify the variable of interest
___(response = ___) %>%
# Generate 15000 bootstrap samples
___(reps = ___, type = "___") %>%
# Calculate the median of each bootstrap sample
___(stat = "___")
# View its structure
str(rent_med_ci)