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.
This exercise is part of the course
Inference for Numerical Data in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# 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)