Create a summary table for a one-sample proportion test

## Usage

```
infer_1prop_test(
data,
formula,
success = NULL,
p0 = 0.5,
digits = 3,
conf_lvl = 0.95,
caption = NULL
)
```

## Arguments

- data
A data frame (or tibble).

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

`~var`

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

- p0
The null hypothesis value. Defaults to 0.5.

- 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. P-values are one-sided.

## Examples

```
infer_1prop_test(mtcars, ~vs, success = 1)
```One-Sample Proportion Test on Variable vs

Successes: 1

Null Value: 0.5 n

Successes

n

Missing

n

Used

p̂

Standard

Error

z

p-value

(2 tail)

14

0

32

0.438

0.0884

-0.707

0.48

infer_1prop_test(mtcars, ~vs, success = 1, conf_lvl = 0.90)
One-Sample Proportion Test on Variable vs

Successes: 1

Null Value: 0.5 n

Successes

n

Missing

n

Used

p̂

Standard

Error

z

p-value

(2 tail)

14

0

32

0.438

0.0884

-0.707

0.48

infer_1prop_test(mtcars, ~vs, success = 1, p0 = 0.4)
One-Sample Proportion Test on Variable vs

Successes: 1

Null Value: 0.4 n

Successes

n

Missing

n

Used

p̂

Standard

Error

z

p-value

(2 tail)

14

0

32

0.438

0.0866

0.433

0.665