Create a summary table for a two-sample proportion test

## 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.

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

## Value

An object of class flextable. In an interactive environment, results are viewable immediately.

## Examples

```
infer_2prop_test(mtcars, vs~am, success = 1)
```Two Sample Proportion Test Between vs and am

Successes: 1 | Confidence: 95% Variable

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

Successes: 1 | Confidence: 90% Variable

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