tests/testthat/_snaps/hypothesize.md

In tidymodels/infer: Tidy Statistical Inference

hypothesize() throws an error when null is not point or independence

Code
  hypothesize(specify(mtcars_df, response = mpg), null = "dependence")
Condition
  Error in `hypothesize()`:
  ! `null` should be either "point", "independence", or "paired independence".

hypothesize() throws an error when multiple null values are provided

Code
  hypothesize(specify(mtcars_df, response = mpg), null = c("point",
    "independence"))
Condition
  Error in `hypothesize()`:
  ! You should specify exactly one type of null hypothesis.

hypothesize() throws an error when multiple params are set

Code
  hypothesize(specify(mtcars_df, response = mpg), null = "point", mu = 25, med = 20)
Condition
  Error in `hypothesize()`:
  ! You must specify exactly one of `p`, `mu`, `med`, or `sigma`.

hypothesize() throws a warning when params are set with independence

Code
  res_ <- hypothesize(specify(mtcars_df, mpg ~ vs), null = "independence", mu = 25)
Condition
  Warning:
  Parameter values should not be specified when testing that two variables are independent.

hypothesize() throws a warning when params are set with paired independence

Code
  res_ <- hypothesize(specify(mtcars_df, response = mpg), null = "paired independence",
  mu = 25)
Condition
  Warning:
  Parameter values should not be specified when testing paired independence.

hypothesize() throws an error when p is greater than 1

Code
  res_ <- hypothesize(specify(mtcars_df, response = vs, success = "1"), null = "point",
  p = 1 + .Machine$double.eps)
Condition
  Error in `hypothesize()`:
  ! `p` should only contain values between zero and one.

hypothesize() throws an error when p is less than 0

Code
  res_ <- hypothesize(specify(mtcars_df, response = vs, success = "1"), null = "point",
  p = -.Machine$double.neg.eps)
Condition
  Error in `hypothesize()`:
  ! `p` should only contain values between zero and one.

hypothesize() throws an error when p contains missing values

Code
  res_ <- hypothesize(specify(mtcars_df, response = vs, success = "1"), null = "point",
  p = c(`0` = 0.5, `1` = NA_real_))
Condition
  Error in `hypothesize()`:
  ! `p` should not contain missing values.

hypothesize() throws an error when vector p does not sum to 1

Code
  res_ <- hypothesize(specify(mtcars_df, response = vs, success = "1"), null = "point",
  p = c(`0` = 0.5, `1` = 0.5 + (eps * 2)))
Condition
  Error in `hypothesize()`:
  ! Make sure the hypothesized values for the `p` parameters sum to 1. Please try again.

hypothesize arguments function

Code
  res_ <- hypothesize(matrix1)
Condition
  Error in `hypothesize()`:
  ! `null` should be either "point", "independence", or "paired independence".

Code
  res_ <- hypothesize(mtcars_s, null = NA)
Condition
  Error in `hypothesize()`:
  ! `null` should be either "point", "independence", or "paired independence".

Code
  res_ <- hypothesize(mtcars_s)
Condition
  Error in `hypothesize()`:
  ! `null` should be either "point", "independence", or "paired independence".

Code
  res_ <- hypothesize(mtcars_s, null = "point", mean = 3)
Condition
  Error in `hypothesize()`:
  ! unused argument (mean = 3)

Code
  res_ <- hypothesize(mtcars_s, null = "independence")
Condition
  Error in `hypothesize()`:
  ! Please `specify()` an explanatory and a response variable when testing a null hypothesis of `"independence"`.

Code
  res_ <- hypothesize(mtcars_s, null = "point")
Condition
  Error in `hypothesize()`:
  ! You must specify exactly one of `p`, `mu`, `med`, or `sigma`.

Code
  res_ <- hypothesize(specify(mtcars_f, mpg ~ am), null = "paired independence")
Condition
  Error in `hypothesize()`:
  ! Please `specify()` only a response variable when testing a null hypothesis of `"paired independence"`.
  i The supplied response variable should be the pre-computed difference between paired observations.

Code
  res <- hypothesize(mtcars_s, null = c("point", "independence"), mu = 3)
Condition
  Error in `hypothesize()`:
  ! You should specify exactly one type of null hypothesis.

Code
  res_ <- hypothesize(dplyr::select(mtcars_df, vs), null = "point", mu = 1)
Condition
  Error in `.subset2()`:
  ! attempt to select less than one element in get1index

Code
  res_ <- hypothesize(specify(mtcars_df, response = vs), null = "point", mu = 1)
Condition
  Error in `specify()`:
  ! A level of the response variable `vs` needs to be specified for the `success` argument in `specify()`.

Code
  res_ <- hypothesize(mtcars_s, null = "point", p = 0.2)
Condition
  Error in `hypothesize()`:
  ! A point null regarding a proportion requires that `success` be indicated in `specify()`.

Code
  res_ <- hypothesize(mtcars_s)
Condition
  Error in `hypothesize()`:
  ! `null` should be either "point", "independence", or "paired independence".

params correct

Code
  res_ <- hypothesize(one_prop_specify, null = "point", mu = 2)
Condition
  Error in `hypothesize()`:
  ! Testing one categorical variable requires `p` to be used as a parameter.

Code
  res_ <- hypothesize(one_mean_specify, null = "point", mean = 0.5)
Condition
  Error in `hypothesize()`:
  ! unused argument (mean = 0.5)

user can specify multiple explanatory variables

Code
  res_ <- hypothesize(specify(gss, hours ~ sex + college), null = "independence",
  mu = 40)
Condition
  Warning:
  Parameter values should not be specified when testing that two variables are independent.

tidymodels/infer documentation built on July 3, 2025, 6:45 p.m.