generate.md
In infer: Tidy Statistical Inference

cohesion with type argument

Code
  res_ <- generate(hyp_prop, type = "bootstrap")
Condition
  Warning:
  You have given `type = "bootstrap"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hyp_chisq_gof, type = "bootstrap")
Condition
  Warning:
  You have given `type = "bootstrap"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hyp_diff_in_props, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"permute"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hyp_chisq_ind, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"permute"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hyp_mean, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `sample.int()`:
  ! NA in probability vector

Code
  res_ <- generate(hyp_diff_in_means, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"permute"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hyp_anova, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"permute"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hyp_prop, type = "permute")
Condition
  Warning:
  You have given `type = "permute"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `generate()`:
  ! Please `specify()` an explanatory and a response variable when permuting.

Code
  res_ <- generate(hyp_chisq_gof, type = "permute")
Condition
  Warning:
  You have given `type = "permute"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `generate()`:
  ! Please `specify()` an explanatory and a response variable when permuting.

Code
  res_ <- generate(hyp_mean, type = "permute")
Condition
  Warning:
  You have given `type = "permute"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `generate()`:
  ! Please `specify()` an explanatory and a response variable when permuting.

sensible output

Code
  generate(hyp_mean, reps = 1, type = "other")
Condition
  Error in `generate()`:
  ! The `type` argument should be one of "bootstrap", "permute", or "draw". See `generate()` (`?infer::generate()`) for more details.

auto `type` works (generate)

Code
  generate(hypothesize(specify(mtcars_df, response = mpg), null = "point", mu = 25),
  reps = 100, type = "permute")
Condition
  Warning:
  You have given `type = "permute"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `generate()`:
  ! Please `specify()` an explanatory and a response variable when permuting.

Code
  res_ <- generate(specify(mtcars_df, response = mpg), reps = 100, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, response = mpg), null = "point",
  med = 26), reps = 100, type = "permute")
Condition
  Warning:
  You have given `type = "permute"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `generate()`:
  ! Please `specify()` an explanatory and a response variable when permuting.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, response = am, success = "1"),
  null = "point", p = 0.25), reps = 100, type = "bootstrap")
Condition
  Warning:
  You have given `type = "bootstrap"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, cyl ~ NULL), null = "point", p = c(
    `4` = 0.5, `6` = 0.25, `8` = 0.25)), reps = 100, type = "bootstrap")
Condition
  Warning:
  You have given `type = "bootstrap"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, cyl ~ am), null = "independence"),
  reps = 100, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"permute"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, mpg ~ cyl), null = "independence"),
  reps = 100, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"permute"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(specify(mtcars_df, response = am, success = "1"), reps = 100,
  type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(specify(mtcars_df, mpg ~ am), reps = 100, type = "permute")
Condition
  Warning:
  You have given `type = "permute"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `generate()`:
  ! Permuting should be done only when doing an independence hypothesis test. See `hypothesize()` (`?infer::hypothesize()`).

Code
  res_ <- generate(specify(mtcars_df, am ~ vs, success = "1"), reps = 100, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(specify(mtcars_df, mpg ~ hp), reps = 100, type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.

mismatches lead to error

Code
  res_ <- generate(mtcars_df, reps = 10, type = "permute")
Condition
  Error in `generate()`:
  ! The `variables` argument should be one or more unquoted variable names (not strings in quotation marks).

Code
  res_ <- generate(hypothesize(specify(mtcars_df, am ~ NULL, success = "1"),
  null = "independence", p = c(`1` = 0.5)), reps = 100, type = "draw")
Condition
  Error in `hypothesize()`:
  ! Please `specify()` an explanatory and a response variable when testing a null hypothesis of `"independence"`.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, cyl ~ NULL), null = "point", p = c(
    `4` = 0.5, `6` = 0.25, `8` = 0.25)), reps = 100, type = "bootstrap")
Condition
  Warning:
  You have given `type = "bootstrap"`, but `type` is expected to be `"draw"`. This workflow is untested and the results may not mean what you think they mean.

Code
  res_ <- generate(specify(mtcars_df, mpg ~ hp), reps = 100, type = "other")
Condition
  Error in `generate()`:
  ! The `type` argument should be one of "bootstrap", "permute", or "draw". See `generate()` (`?infer::generate()`) for more details.

generate() handles `NULL` value of `type`

Code
  res_ <- generate(hyp_prop, type = NULL)
Message
  Setting `type = "draw"` in `generate()`.

variables argument prompts when it ought to

Code
  res_ <- generate(hypothesize(specify(gss[1:10, ], hours ~ age + college), null = "independence"),
  reps = 2, type = "permute", variables = c(howdy))
Condition
  Error in `generate()`:
  ! The column howdy provided to the `variables` argument is not in the supplied data.

Code
  res <- generate(hypothesize(specify(gss[1:10, ], hours ~ age + college), null = "independence"),
  reps = 2, type = "permute", variables = c(howdy, doo))
Condition
  Error in `generate()`:
  ! The columns howdy and doo provided to the `variables` argument are not in the supplied data.

Code
  res_ <- generate(hypothesize(specify(gss[1:10, ], hours ~ NULL), null = "point",
  mu = 40), reps = 2, type = "bootstrap", variables = c(hours))
Condition
  Warning:
  The `variables` argument is only relevant for the "permute" generation type and will be ignored.

Code
  res_ <- generate(hypothesize(specify(gss[1:10, ], hours ~ age + college), null = "independence"),
  reps = 2, type = "permute", variables = "hours")
Condition
  Error in `generate()`:
  ! The `variables` argument should be one or more unquoted variable names (not strings in quotation marks).

Code
  res_ <- generate(hypothesize(specify(gss[1:10, ], hours ~ age + college + age *
    college), null = "independence"), reps = 2, type = "permute", variables = age *
    college)
Message
  Message: Please supply only data columns to the `variables` argument. Note that any derived effects that depend on these columns will also be affected.

Code
  res_ <- generate(hypothesize(specify(gss[1:10, ], hours ~ age + college + age *
    college), null = "independence"), reps = 2, type = "permute", variables = c(
    hours, age * college))
Message
  Message: Please supply only data columns to the `variables` argument. Note that any derived effects that depend on these columns will also be affected.

Code
  res_ <- generate(specify(gss[1:10, ], hours ~ age * college), reps = 2, type = "bootstrap",
  variables = c(hours, age * college))
Condition
  Warning:
  The `variables` argument is only relevant for the "permute" generation type and will be ignored.

type = 'draw'/'simulate' superseding handled gracefully

Code
  res_ <- generate(hypothesize(specify(mtcars_df, response = am, success = "1"),
  null = "point", p = 0.5), type = "simulate")
Message
  The `"simulate"` generation type has been renamed to `"draw"`. Use `type = "draw"` instead to quiet this message.

Code
  res_ <- generate(hypothesize(specify(mtcars_df, response = am, success = "1"),
  null = "point", p = 0.5), type = "boop")
Condition
  Error in `generate()`:
  ! The `type` argument should be one of "bootstrap", "permute", or "draw". See `generate()` (`?infer::generate()`) for more details.

Code
  generate(hypothesize(specify(mtcars_df, response = mpg), null = "point", mu = 20),
  type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `sample.int()`:
  ! NA in probability vector

Code
  generate(hypothesize(specify(mtcars_df, response = mpg), null = "point", mu = 20),
  type = "draw")
Condition
  Warning:
  You have given `type = "draw"`, but `type` is expected to be `"bootstrap"`. This workflow is untested and the results may not mean what you think they mean.
  Error in `sample.int()`:
  ! NA in probability vector