Create a summary table for a linear regression test

infer_reg() creates a small table summarizing a linear regression test. The traditional columns of t and p-value are removed by default but a full table can be accessed with simple = FALSE.

Usage

infer_reg(data, formula, digits = 3, caption = NULL, reduced = c("yes", "no"))

Arguments

data

A data frame (or tibble).

formula

The variables to run the test on, in formula syntax. Passed on to stats::lm().

digits

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

caption

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

reduced

Should a simple table be created (i.e., removal of the t and p-value columns)? Defaults to "yes".

Value

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

Examples

infer_reg(mtcars, drat~wt)
Linear Model Coefficients Table
 Degrees of Freedom: 1 
 R-Squared: 0.508
Term
Estimate
Standard
Error
(Intercept)
 4.849
0.235
wt
-0.389
0.070
infer_reg(mtcars, drat~wt, reduced = "no")
Linear Model Coefficients Table
 Degrees of Freedom: 1 
 R-Squared: 0.508 
Overall F:  30.923
Term
Estimate
Standard
Error
t
p-value
(Intercept)
 4.849
0.235
20.624
< 0.0001
wt
-0.389
0.070
-5.561
< 0.0001
infer_reg(mtcars, drat~wt, digits = 4)
Linear Model Coefficients Table
 Degrees of Freedom: 1 
 R-Squared: 0.5076
Term
Estimate
Standard
Error
(Intercept)
 4.8491
0.23510
wt
-0.3893
0.07001
infer_reg(mtcars, drat~wt + qsec)
Linear Model Coefficients Table
 Degrees of Freedom: 2 
 R-Squared: 0.509
Term
Estimate
Standard
Error
(Intercept)
 5.043
0.7840
wt
-0.3930
0.0722
qsec
-0.0103
0.0396