build_table.lm | R Documentation |
Takes a linear regression model object and summarizes it into a ready to export, human-readable summary table.
## S3 method for class 'lm' build_table( .object, ..., .test = c("F", "Chisq"), .col.test = FALSE, .level = 0.95, .stat.pct.sign = TRUE, .digits = 1, .p.digits = 4 )
.object |
An object of class |
... |
One or more unquoted expressions separated by commas representing
columns in the data.frame. May be specified using
|
.test |
A character. The name of the
|
.col.test |
A logical. Append a columns for the test and accompanying statistic used to derive the p-value. |
.level |
A double. The confidence level required. |
.stat.pct.sign |
A logical. Paste a percent symbol after all reported frequencies. |
.digits |
An integer. The number of digits to round numbers to. |
.p.digits |
An integer. The number of p-value digits to report. Note
that the p-value still rounded to the number of digits specified in
|
An object of class tbl_df
(tibble) summarizing the provided
object.
build_table
library(dplyr) data_mtcars <- datasets::mtcars |> mutate_at(vars('vs', 'am'), as.logical) |> mutate_at(vars('gear', 'carb', 'cyl'), as.factor) fit <- lm(mpg ~ vs + drat + cyl, data = data_mtcars) fit |> build_table()
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