specify()
is used to specify which columns in the supplied data frame are
the relevant response (and, if applicable, explanatory) variables. Note that
character variables are converted to factor
s.
Learn more in vignette("infer")
.
specify(x, formula, response = NULL, explanatory = NULL, success = NULL)
x | A data frame that can be coerced into a tibble. |
---|---|
formula | A formula with the response variable on the left and the
explanatory on the right. Alternatively, a |
response | The variable name in |
explanatory | The variable name in |
success | The level of |
A tibble containing the response (and explanatory, if specified) variable data.
Other core functions:
calculate()
,
generate()
,
hypothesize()
# specifying for a point estimate on one variable
gss %>%
specify(response = age)
#> Response: age (numeric)
#> # A tibble: 500 × 1
#> age
#> <dbl>
#> 1 36
#> 2 34
#> 3 24
#> 4 42
#> 5 31
#> 6 32
#> 7 48
#> 8 36
#> 9 30
#> 10 33
#> # … with 490 more rows
# specify a relationship between variables as a formula...
gss %>%
specify(age ~ partyid)
#> Dropping unused factor levels DK from the supplied explanatory variable 'partyid'.
#> Response: age (numeric)
#> Explanatory: partyid (factor)
#> # A tibble: 500 × 2
#> age partyid
#> <dbl> <fct>
#> 1 36 ind
#> 2 34 rep
#> 3 24 ind
#> 4 42 ind
#> 5 31 rep
#> 6 32 rep
#> 7 48 dem
#> 8 36 ind
#> 9 30 rep
#> 10 33 dem
#> # … with 490 more rows
# ...or with named arguments!
gss %>%
specify(response = age, explanatory = partyid)
#> Dropping unused factor levels DK from the supplied explanatory variable 'partyid'.
#> Response: age (numeric)
#> Explanatory: partyid (factor)
#> # A tibble: 500 × 2
#> age partyid
#> <dbl> <fct>
#> 1 36 ind
#> 2 34 rep
#> 3 24 ind
#> 4 42 ind
#> 5 31 rep
#> 6 32 rep
#> 7 48 dem
#> 8 36 ind
#> 9 30 rep
#> 10 33 dem
#> # … with 490 more rows
# more in-depth explanation of how to use the infer package
if (FALSE) {
vignette("infer")
}