In tidymodels/infer: Tidy Statistical Inference

Reproducibility

When using the infer package for research, or in other cases when exact reproducibility is a priority, be sure the set the seed for R's random number generator. infer will respect the random seed specified in the set.seed() function, returning the same result when generate()ing data given an identical seed. For instance, we can calculate the difference in mean age by college degree status using the gss dataset from 10 versions of the gss resampled with permutation using the following code.

library(infer)

set.seed(1)

gss %>%
  specify(age ~ college) %>%
  hypothesize(null = "independence") %>%
  generate(reps = 5, type = "permute") %>%
  calculate("diff in means", order = c("degree", "no degree"))

Setting the seed to the same value again and rerunning the same code will produce the same result.

# set the seed
set.seed(1)

gss %>%
  specify(age ~ college) %>%
  hypothesize(null = "independence") %>%
  generate(reps = 5, type = "permute") %>%
  calculate("diff in means", order = c("degree", "no degree"))

Please keep this in mind when writing infer code that utilizes resampling with generate().

tidymodels/infer documentation built on March 28, 2024, 7:02 p.m.