`infer_2prop()`

is an alternative to `infer_2prop_test()`

and `infer_2prop_int()`

. Rather than have
hypothesis test and confidence interval output split into two separate functions, you can now do it
in one. For just a hypothesis test, do nothing different from `infer_2prop_test()`

(except change
the function name). For a confidence interval provided with that, use `conf_int = "show"`

.

## Usage

```
infer_2prop(
data,
formula,
success,
digits = 3,
conf_lvl = 0.95,
conf_int = c("hide", "show"),
caption = NULL
)
```

## Arguments

- data
A data frame (or tibble).

- formula
The variables to run the test on, in formula syntax,

`var1 ~ var2`

.- success
The data value that constitutes a "success".

- digits
The number of digits to round table values to. Defaults to 3.

- conf_lvl
The confidence level of the interval, entered as a value between 0 and 1. Defaults to 0.95.

- conf_int
Should a confidence interval be provided in addition to the hypothesis test output? Defaults to "hide" with the other option being "show".

An override to the table caption. A sensible default is provided.

## Examples

```
infer_2prop(mtcars, vs~am, success = 1)
```Two Sample Proportion Test Between vs and am

Success: 1 | Confidence: 95% am

n

Successes

n

n

Missing

p̂

Standard

Error

z

p-value

(2 tail)

0

7

19

0

0.368

0.177

0.907

0.341

1

7

13

0

0.538

infer_2prop(mtcars, vs~am, success = 1, conf_lvl = .9, digits = 4)
Two Sample Proportion Test Between vs and am

Success: 1 | Confidence: 90% am

n

Successes

n

n

Missing

p̂

Standard

Error

z

p-value

(2 tail)

0

7

19

0

0.3684

0.1771

0.9069

0.3409

1

7

13

0

0.5385

infer_2prop(mtcars, vs~am, success = 1, conf_lvl = .9, digits = 5, conf_int = "show")
Two Sample Proportion Test Between vs and am

Success: 1 | Confidence: 90% am

n

Successes

n

n

Missing

p̂

Standard

Error

z

p-value

(1 tail)

90%

Interval

Lower

90%

Interval

Upper

0

7

19

0

0.36842

0.17710

0.90688

0.17047

-0.46134

0.12126

1

7

13

0

0.53846