tests/testthat/_snaps/specify.md

In tidymodels/infer: Tidy Statistical Inference

data argument

Code
  specify(blah ~ cyl)
Condition
  Error in `specify()`:
  ! `x` must be 'data.frame', not 'language'.

Code
  specify(1:3)
Condition
  Error in `specify()`:
  ! `x` must be 'data.frame', not 'integer'.

Code
  specify(mtcars_df, mtcars_df$mpg)
Condition
  Error in `specify()`:
  ! The first unnamed argument must be a formula.
  i You passed in 'double'.
  x Did you forget to name one or more arguments?

response and explanatory arguments

Code
  specify(mtcars_df, response = blah)
Condition
  Error in `specify()`:
  ! The response variable `blah` cannot be found in this dataframe.

Code
  specify(mtcars_df, response = "blah")
Condition
  Error in `specify()`:
  ! The response should be a bare variable name (not a string in quotation marks).

Code
  specify(mtcars_df, formula = mpg ~ blah)
Condition
  Error in `specify()`:
  ! The explanatory variable `blah` cannot be found in this dataframe.

Code
  specify(mtcars_df, blah2 ~ cyl)
Condition
  Error in `specify()`:
  ! The response variable `blah2` cannot be found in this dataframe.

Code
  specify(mtcars_df)
Condition
  Error in `specify()`:
  ! Please supply a response variable that is not `NULL`.

Code
  specify(mtcars_df, formula = mpg ~ mpg)
Condition
  Error in `specify()`:
  ! The response and explanatory variables must be different from one another.

Code
  specify(mtcars_df, formula = "mpg" ~ cyl)
Condition
  Error in `specify()`:
  ! The response should be a bare variable name (not a string in quotation marks).

Code
  specify(mtcars_df, formula = mpg ~ "cyl")
Condition
  Error in `specify()`:
  ! The explanatory should be a bare variable name (not a string in quotation marks).

Code
  specify(mtcars_df, formula = NULL ~ cyl)
Condition
  Error in `specify()`:
  ! Please supply a response variable that is not `NULL`.

success argument

Code
  specify(mtcars_df, response = vs, success = 1)
Condition
  Error in `specify()`:
  ! `success` must be a string.

Code
  specify(mtcars_df, response = vs, success = "bogus")
Condition
  Error in `specify()`:
  ! bogus is not a valid level of vs.

Code
  specify(mtcars_df, response = mpg, success = "1")
Condition
  Error in `specify()`:
  ! `success` should only be specified if the response is a categorical variable.

Code
  specify(mtcars_df, response = cyl, success = "4")
Condition
  Error in `specify()`:
  ! `success` can only be used if the response has two levels. `filter()` can reduce a variable to two levels.

Code
  specify(mtcars_df, response = am)
Condition
  Error in `specify()`:
  ! A level of the response variable `am` needs to be specified for the `success` argument in `specify()`.

formula argument is a formula

Code
  specify(mtcars_df, formula = "vs", success = 1)
Condition
  Error in `specify()`:
  ! The first unnamed argument must be a formula.
  i You passed in 'character'.
  x Did you forget to name one or more arguments?

Code
  specify(mtcars, am, success = "1")
Condition
  Error in `specify()`:
  ! The argument you passed in for the formula does not exist.
  i Were you trying to pass in an unquoted column name?
  i Did you forget to name one or more arguments?

Code
  specify(mtcars, response = am, "1")
Condition
  Error in `specify()`:
  ! The first unnamed argument must be a formula.
  i You passed in 'character'.
  x Did you forget to name one or more arguments?

is_complete works

Code
  res_ <- specify(some_missing, response = vec)
Condition
  Warning:
  Removed 1 rows containing missing values.

specify messages when dropping unused levels

Code
  res_ <- gss %>% dplyr::filter(partyid %in% c("rep", "dem")) %>% specify(age ~
    partyid)
Message
  Dropping unused factor levels c("ind", "other", "DK") from the supplied explanatory variable 'partyid'.

Code
  res_ <- gss %>% dplyr::filter(partyid %in% c("rep", "dem")) %>% specify(
    partyid ~ age)
Message
  Dropping unused factor levels c("ind", "other", "DK") from the supplied response variable 'partyid'.

Code
  res_ <- gss %>% dplyr::filter(partyid %in% c("rep", "dem")) %>% specify(
    partyid ~ NULL)
Message
  Dropping unused factor levels c("ind", "other", "DK") from the supplied response variable 'partyid'.

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