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Create a summary table for a two-sample mean test

Source: R/infer_mean.R
infer_2mean_test.Rd

Create a summary table for a two-sample mean test

Usage

infer_2mean_test(
  data,
  formula,
  digits = 3,
  mu0 = 0,
  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.

mu0

The null hypothesis value. Defaults to 0.

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 
Null Hypothesis Value (Difference in Means): 0
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 
Null Hypothesis Value (Difference in Means): 0
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