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Create a summary table for a two-sample mean test

Usage

infer_2mean_test(data, formula, digits = 3, conf_lvl = 0.95, caption = NULL)

Arguments

data

A data frame (or tibble).

formula

The variables to run the test on, in formula syntax, var1 ~ var2.

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.

caption

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_2mean_test(mtcars, wt~vs)
Two Sample Independent Means Test Between wt and vs
Confidence Level: 95%

Variable

n

n
Missing

Group
Means

Standard
Error

t

df

p-value
(2 tail)

0

18

0

3.689

0.286

3.764

29.981

0.000728

1

14

0

2.611

infer_2mean_test(mtcars, wt~vs, conf_lvl = .9)
Two Sample Independent Means Test Between wt and vs
Confidence Level: 90%

Variable

n

n
Missing

Group
Means

Standard
Error

t

df

p-value
(2 tail)

0

18

0

3.689

0.286

3.764

29.981

0.000728

1

14

0

2.611