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.
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.
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()` (`?infer::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.
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()` (`?infer::generate()`) for more details.
NULL
value of type
Code
res_ <- generate(hyp_prop, type = NULL)
Message
Setting `type = "draw"` in `generate()`.
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 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 howdy and 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.
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()` (`?infer::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
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