The summary method for a tableby object, which is a pretty rendering of a tableby object into a publication-quality results table in R Markdown, and can render well in text-only.

# S3 method for tableby
summary(
object,
...,
labelTranslations = NULL,
text = FALSE,
title = NULL,
pfootnote = FALSE,
term.name = ""
)

# S3 method for summary.tableby
as.data.frame(
x,
...,
text = x$text, pfootnote = x$pfootnote,
term.name = x\$term.name,
width = NULL,
min.split = NULL,
list.ok = FALSE
)

## Arguments

object An object of class "tableby", made by the tableby function. For summary.tableby, other arguments passed to as.data.frame.tableby. For printing the summary object, these are passed to both as.data.frame.summary.tableby and kable. A named list (or vector) where the name is the label in the output to be replaced in the pretty rendering by the character string value for the named element of the list, e.g., list(age = "Age(Years)", meansd = "Mean(SD)"). An argument denoting how to print the summary to the screen. Default is FALSE (show markdown output). TRUE and NULL output a text-only version, with the latter avoiding all formatting. "html" uses the HTML tag  instead of the markdown formatting, and "latex" uses the LaTeX command \textbf. Title/caption for the table, defaulting to NULL (no title). Passed to kable. Can be length > 1 if the more than one table is being printed. Logical, denoting whether to put footnotes describing the tests used to generate the p-values. Alternatively, "html" to surround the outputted footnotes with 
• . A character vector denoting the column name for the "terms" column. It should be the same length as the number of tables or less (it will get recycled if needed). The special value TRUE will use the y-variable's label for each table. An object of class "summary.tableby". Passed to smart.split for formatting of the "term" column. Passed to smart.split for formatting of the "term" column. If the object has multiple by-variables, is it okay to return a list of data.frames instead of a single data.frame? If FALSE but there are multiple by-variables, a warning is issued.
• ## Value

An object of class summary.tableby

tableby.control, tableby

## Author

Ethan Heinzen, based on code by Gregory Dougherty, Jason Sinnwell, Beth Atkinson, adapted from SAS Macros written by Paul Novotny and Ryan Lennon

## Examples


set.seed(100)
## make 3+ categories for response
nsubj <- 90
mdat <- data.frame(Response=sample(c(1,2,3),nsubj, replace=TRUE),
Sex=sample(c("Male", "Female"), nsubj,replace=TRUE),
Age=round(rnorm(nsubj,mean=40, sd=5)),
HtIn=round(rnorm(nsubj,mean=65,sd=5)))

## allow default summaries on RHS variables
out <- tableby(Response ~ Sex + Age + HtIn, data=mdat)
summary(out, text=TRUE)
#>
#>
#> |             |    1 (N=25)     |    2 (N=31)     |    3 (N=34)     |  Total (N=90)   | p value|
#> |:------------|:---------------:|:---------------:|:---------------:|:---------------:|-------:|
#> |Sex          |                 |                 |                 |                 |   0.232|
#> |-  Female    |   17 (68.0%)    |   14 (45.2%)    |   19 (55.9%)    |   50 (55.6%)    |        |
#> |-  Male      |    8 (32.0%)    |   17 (54.8%)    |   15 (44.1%)    |   40 (44.4%)    |        |
#> |Age          |                 |                 |                 |                 |   0.547|
#> |-  Mean (SD) | 40.200 (4.021)  | 40.161 (3.796)  | 39.265 (3.671)  | 39.833 (3.796)  |        |
#> |-  Range     | 29.000 - 48.000 | 33.000 - 51.000 | 30.000 - 48.000 | 29.000 - 51.000 |        |
#> |HtIn         |                 |                 |                 |                 |   0.093|
#> |-  Mean (SD) | 63.360 (5.322)  | 66.516 (4.878)  | 65.000 (5.684)  | 65.067 (5.402)  |        |
#> |-  Range     | 52.000 - 78.000 | 57.000 - 78.000 | 50.000 - 79.000 | 50.000 - 79.000 |        |
#> labels(out)
#>   Response        Sex        Age       HtIn
#> "Response"      "Sex"      "Age"     "HtIn" labels(out) <- c(Age="Age (years)", HtIn="Height (inches)")
summary(out, stats.labels=c(meansd="Mean-SD", q1q3 = "Q1-Q3"), text=TRUE)
#>
#>
#> |                |    1 (N=25)     |    2 (N=31)     |    3 (N=34)     |  Total (N=90)   | p value|
#> |:---------------|:---------------:|:---------------:|:---------------:|:---------------:|-------:|
#> |Sex             |                 |                 |                 |                 |   0.232|
#> |-  Female       |   17 (68.0%)    |   14 (45.2%)    |   19 (55.9%)    |   50 (55.6%)    |        |
#> |-  Male         |    8 (32.0%)    |   17 (54.8%)    |   15 (44.1%)    |   40 (44.4%)    |        |
#> |Age (years)     |                 |                 |                 |                 |   0.547|
#> |-  Mean-SD      | 40.200 (4.021)  | 40.161 (3.796)  | 39.265 (3.671)  | 39.833 (3.796)  |        |
#> |-  Range        | 29.000 - 48.000 | 33.000 - 51.000 | 30.000 - 48.000 | 29.000 - 51.000 |        |
#> |Height (inches) |                 |                 |                 |                 |   0.093|
#> |-  Mean-SD      | 63.360 (5.322)  | 66.516 (4.878)  | 65.000 (5.684)  | 65.067 (5.402)  |        |
#> |-  Range        | 52.000 - 78.000 | 57.000 - 78.000 | 50.000 - 79.000 | 50.000 - 79.000 |        |
#>