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` for more details.

auto `type` works (generate)

Code
  mtcars_df %>% specify(response = mpg) %>% hypothesize(null = "point", mu = 25) %>%
    generate(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_ <- mtcars_df %>% specify(response = mpg) %>% generate(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_ <- mtcars_df %>% specify(response = mpg) %>% hypothesize(null = "point",
    med = 26) %>% generate(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_ <- mtcars_df %>% specify(response = am, success = "1") %>% hypothesize(
    null = "point", p = 0.25) %>% generate(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_ <- mtcars_df %>% specify(cyl ~ NULL) %>% hypothesize(null = "point", p = c(
    `4` = 0.5, `6` = 0.25, `8` = 0.25)) %>% generate(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_ <- mtcars_df %>% specify(cyl ~ am) %>% hypothesize(null = "independence") %>%
    generate(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_ <- mtcars_df %>% specify(mpg ~ cyl) %>% hypothesize(null = "independence") %>%
    generate(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_ <- mtcars_df %>% specify(response = am, success = "1") %>% generate(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_ <- mtcars_df %>% specify(mpg ~ am) %>% generate(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()`.

Code
  res_ <- mtcars_df %>% specify(am ~ vs, success = "1") %>% generate(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_ <- mtcars_df %>% specify(mpg ~ hp) %>% generate(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_ <- mtcars_df %>% generate(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_ <- mtcars_df %>% specify(am ~ NULL, success = "1") %>% hypothesize(null = "independence",
    p = c(`1` = 0.5)) %>% generate(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_ <- mtcars_df %>% specify(cyl ~ NULL) %>% hypothesize(null = "point", p = c(
    `4` = 0.5, `6` = 0.25, `8` = 0.25)) %>% generate(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_ <- mtcars_df %>% specify(mpg ~ hp) %>% generate(reps = 100, type = "other")
Condition
  Error in `generate()`:
  ! The `type` argument should be one of "bootstrap", "permute", or "draw". See `?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_ <- gss[1:10, ] %>% specify(hours ~ age + college) %>% hypothesize(null = "independence") %>%
    generate(reps = 2, type = "permute", variables = c(howdy))
Condition
  Error in `generate()`:
  ! The column `list("howdy")` provided to the `variables` argument is not in the supplied data.

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

Code
  res_ <- gss[1:10, ] %>% specify(hours ~ NULL) %>% hypothesize(null = "point",
    mu = 40) %>% generate(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_ <- gss[1:10, ] %>% specify(hours ~ age + college) %>% hypothesize(null = "independence") %>%
    generate(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_ <- gss[1:10, ] %>% specify(hours ~ age + college + age * college) %>%
    hypothesize(null = "independence") %>% generate(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_ <- gss[1:10, ] %>% specify(hours ~ age + college + age * college) %>%
    hypothesize(null = "independence") %>% generate(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_ <- gss[1:10, ] %>% specify(hours ~ age * college) %>% generate(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_ <- mtcars_df %>% specify(response = am, success = "1") %>% hypothesize(
    null = "point", p = 0.5) %>% generate(type = "simulate")
Message
  The `"simulate"` generation type has been renamed to `"draw"`. Use `type = "draw"` instead to quiet this message.

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

Code
  mtcars_df %>% specify(response = mpg) %>% hypothesize(null = "point", mu = 20) %>%
    generate(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
  mtcars_df %>% specify(response = mpg) %>% hypothesize(null = "point", mu = 20) %>%
    generate(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