assume.md
In infer: Tidy Statistical Inference

assume errors with bad arguments

Code
  assume(hypothesize(specify(gss, age ~ college), null = "independence"), "boop",
  nrow(gss) - 1)
Condition
  Error in `assume()`:
  ! The distribution argument must be one of "Chisq", "F", "t", or "z".

Code
  assume(hypothesize(specify(gss, age ~ college), null = "independence"), "t", c(
    nrow(gss) - 1, 2))
Condition
  Error in `assume()`:
  ! A T distribution requires 1 degrees of freedom argument, but 2 were supplied.

Code
  assume(hypothesize(specify(gss, age ~ partyid), null = "independence"), "F",
  nrow(gss) - 1)
Message
  Dropping unused factor levels DK from the supplied explanatory variable 'partyid'.
Condition
  Error in `assume()`:
  ! An F distribution requires 2 degrees of freedom arguments, but 1 was supplied.

Code
  assume(hypothesize(specify(gss, age ~ partyid), null = "independence"), "F",
  "boop")
Message
  Dropping unused factor levels DK from the supplied explanatory variable 'partyid'.
Condition
  Error in `assume()`:
  ! `assume()` expects the `df` argument to be a numeric vector, but you supplied a character object.

Code
  assume(hypothesize(specify(gss, age ~ partyid), null = "independence"), "F",
  nrow(gss) - 1, 1)
Message
  Dropping unused factor levels DK from the supplied explanatory variable 'partyid'.
Condition
  Error in `assume()`:
  ! `assume()` ignores the dots `...` argument, though the argument were supplied.
  i Did you forget to concatenate the `df` argument with `c()`?

Code
  assume(hypothesize(specify(gss, age ~ partyid), null = "independence"), "F",
  nrow(gss) - 1, 1, 2)
Message
  Dropping unused factor levels DK from the supplied explanatory variable 'partyid'.
Condition
  Error in `assume()`:
  ! `assume()` ignores the dots `...` argument, though the arguments were supplied.
  i Did you forget to concatenate the `df` argument with `c()`?

Code
  assume(hypothesize(specify(gss, age ~ finrela), null = "independence"), "t",
  nrow(gss) - 1)
Condition
  Error in `assume()`:
  ! The supplied distribution "t" is not well-defined for a numeric response variable (age) and a multinomial categorical explanatory variable (finrela).

Code
  assume(hypothesize(specify(gss, age ~ finrela), null = "independence"), "z",
  nrow(gss) - 1)
Condition
  Error in `assume()`:
  ! The supplied distribution "z" is not well-defined for a numeric response variable (age) and a multinomial categorical explanatory variable (finrela).

Code
  assume(hypothesize(specify(gss, age ~ NULL), null = "point", mu = 40), "z",
  nrow(gss) - 1)
Condition
  Error in `assume()`:
  ! The supplied distribution "z" is not well-defined for a numeric response variable (age) and no explanatory variable.

Code
  assume(gss, "z", nrow(gss) - 1)
Condition
  Error in `assume()`:
  ! The `x` argument must be the output of a core infer function, likely `specify()` or `hypothesize()`.

Code
  assume("boop", "z", nrow(gss) - 1)
Condition
  Error in `assume()`:
  ! The `x` argument must be the output of a core infer function, likely `specify()` or `hypothesize()`.

assume() handles automatic df gracefully

Code
  res_ <- assume(hypothesize(specify(gss, response = hours), null = "point", mu = 40),
  "t", nrow(gss) - 2)
Message
  Message: The supplied `df` argument does not match its expected value. If this is unexpected, ensure that your calculation for `df` is correct (see `assume()` (`?infer::assume()`) for recognized values) or supply `df = NULL` to `assume()`.