diff --git a/NAMESPACE b/NAMESPACE
index 2f037b3f32..09c549faa3 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -14,6 +14,7 @@ export(all_stat_cols)
 export(any_of)
 export(as_gt)
 export(as_tibble)
+export(assign_summary_digits)
 export(assign_summary_type)
 export(brdg_summary)
 export(contains)
diff --git a/R/assign_summary_digits.R b/R/assign_summary_digits.R
index 1731bdd78a..486753bc54 100644
--- a/R/assign_summary_digits.R
+++ b/R/assign_summary_digits.R
@@ -1,9 +1,32 @@
-
-
+#' Assign Default Digits
+#'
+#' Used to assign the default formatting for variables summarized with
+#' `tbl_summary()`.
+#'
+#' @param data (`data.frame`)\cr
+#'   a data frame
+#' @param statistic (`named list`)\cr
+#'   a named list; notably, _not_ a [`formula-list-selector`][syntax]
+#' @param type (`named list`)\cr
+#'   a named list; notably, _not_ a [`formula-list-selector`][syntax]
+#' @param digits (`named list`)\cr
+#'   a named list; notably, _not_ a [`formula-list-selector`][syntax].
+#'   Default is `NULL`
+#'
+#' @return a named list
+#' @export
+#'
+#' @examples
+#' assign_summary_digits(
+#'   mtcars,
+#'   statistic = list(mpg = "{mean}"),
+#'   type = list(mpg = "continuous")
+#' )
 assign_summary_digits <- function(data, statistic, type, digits = NULL) {
   # stats returned for all variables
   lst_cat_summary_fns <- .categorical_summary_functions(c("n", "p"))
-  lst_all_fmt_fns <- .categorical_summary_functions()
+  lst_all_fmt_fns <-
+    .categorical_summary_functions(c("N_obs", "N_miss", "N_nonmiss", "p_miss", "p_nonmiss"))
 
   # extract the statistics
   statistic <- lapply(statistic, function(x) .extract_glue_elements(x) |> unlist())
diff --git a/R/tbl_summary.R b/R/tbl_summary.R
index 4a1a008924..50021db9a4 100644
--- a/R/tbl_summary.R
+++ b/R/tbl_summary.R
@@ -19,15 +19,36 @@
 #'   The default is
 #'   `list(all_continuous() ~ "{median} ({p25}, {p75})", all_categorical() ~ "{n} ({p}%)")`.
 #'   See below for details.
-#' @param digits TODO:
-#' @param type TODO:
-#' @param value TODO:
-#' @param missing TODO:
-#' @param missing_text TODO:
-#' @param missing_stat TODO:
-#' @param sort TODO:
-#' @param percent TODO:
-#' @param include TODO:
+#' @param digits  ([`formula-list-selector`][syntax])\cr
+#'   Specifies how summary statistics are rounded. Values may be either integer(s)
+#'   or function(s). If not specified, default formatting is assigned
+#'   via `assign_summary_digits()`. See below for details.
+#' @param type ([`formula-list-selector`][syntax])\cr
+#'   Specifies the summary type. Accepted value are
+#'   `c("continuous", "continuous2", "categorical", "dichotomous")`.
+#'   If not specified, default type is assigned via
+#'   `assign_summary_type()`. See below for details.
+#' @param value ([`formula-list-selector`][syntax])\cr
+#'   Specifies the level of a variable to display on a single row.
+#'   The gtsummary type selectors, e.g. `all_dichotomous()`, cannot be used
+#'   with this argument. Default is `NULL`. See below for details.
+#' @param statistic ([`formula-list-selector`][syntax])\cr
+#'   Specifies summary statistics to display for each variable.  The default is
+#'   `list(all_continuous() ~ "{median} ({p25}, {p75})", all_categorical() ~ "{n} ({p}%)")`.
+#'   See below for details.
+#' @param missing,missing_text,missing_stat
+#'   Arguments dictating how and if missing values are presented:
+#'   - `missing`: must be one of `c("ifany", "no", "always")`
+#'   - `missing_text`: string indicating text shown on missing row. Default is `"Unknown"`
+#'   - `missing_stat`: statistic to show on missing row. Default is `"{N_miss}"`.
+#'     Possible values are `N_miss`, `N_obs`, `N_nonmiss`, `p_miss`, `p_nonmiss`
+#' @param sort ([`formula-list-selector`][syntax])\cr
+#'   Specifies sorting to perform for categorical variables.
+#'   Values must be one of `c("alphanumeric", "frequency")`.
+#'   Default is `all_categorical(FALSE) ~ "alphanumeric"`
+#' @param percent Indicates the type of percentage to return.
+#'   Must be one of `c("column", "row", "cell")`. Default is `"column"`.
+#' @param include variables to include in the summary table. Default is `everything()`
 #'
 #' @return a gtsummary table of class `"tbl_summary"`
 #' @export
@@ -43,25 +64,14 @@
 #' a name that appears between curly brackets will be interpreted as a function
 #' name and the formatted result of that function will be placed in the table.
 #'
-#' For categorical variables, the following statistics are available to display.
-#' \itemize{
-#'   \item `{n}` frequency
-#'   \item `{N}` denominator, or cohort size
-#'   \item `{p}` formatted percentage
-#' }
+#' For categorical variables, the following statistics are available to display:
+#' `{n}` (frequency), `{N}` (denominator), `{p}` (percent).
 #'
-#' For continuous variables, **any univariate function may be used**. Below is a list
-#' of the _most commonly_ used statistics.
-#' \itemize{
-#'   \item `{median}` median
-#'   \item `{mean}` mean
-#'   \item `{sd}` standard deviation
-#'   \item `{var}` variance
-#'   \item `{min}` minimum
-#'   \item `{max}` maximum
-#'   \item `{sum}` sum
-#'   \item `{p##}` any integer percentile, where `##` is an integer from 0 to 100
-#' }
+#' For continuous variables, **any univariate function may be used**.
+#' The most commonly used functions are `{median}`, `{mean}`, `{sd}`, `{min}`,
+#' and `{max}`.
+#' Additionally, `{p##}` is available for percentiles, where `##` is an integer from 0 to 100.
+#' For example, `p25: quantile(probs=0.25, type=2)`.
 #'
 #' When the summary type is `"continuous2"`, pass a vector of statistics.
 #' Each element of the vector will result in a separate row in the summary table.
@@ -77,6 +87,36 @@
 #'   \item `{p_nonmiss}` percentage of observations not missing
 #' }
 #'
+#' @section digits argument:
+#' The digits argument specifies the the number of digits (or formatting function)
+#' statistics are rounded to.
+#'
+#' The values passed can either be a single integer, a vector of integers, a
+#' function, or a list of functions. If a single integer or function is passed,
+#' it is recycled to the length of the number of statistics presented.
+#' For example, if the statistic is `"{mean} ({sd})"`, it is equivalent to
+#' pass `1`, `c(1, 1)`, `styfn_number(digits=1)`, and
+#' `list(styfn_number(digits=1), styfn_number(digits=1))`.
+#'
+#' Named lists are also accepted to change the default formatting for a single
+#' statistic, e.g. `list(sd = styfn_number(digits=1))`.
+#'
+#' @section type and value arguments:
+#' There are four summary types:
+#'    - `"continuous"` summaries are shown on a *single row*. Most numeric
+#'    variables default to summary type continuous.
+#'    - `"continuous2"` summaries are shown on *2 or more rows*
+#'    - `"categorical"` *multi-line* summaries of nominal data. Character variables,
+#'    factor variables, and numeric variables with fewer than 10 unique levels default to
+#'    type categorical. To change a numeric variable to continuous that
+#'    defaulted to categorical, use `type = list(varname ~ "continuous")`
+#'    - `"dichotomous"` categorical variables that are displayed on a *single row*,
+#'    rather than one row per level of the variable.
+#'    Variables coded as `TRUE`/`FALSE`, `0`/`1`, or `yes`/`no` are assumed to be dichotomous,
+#'    and the `TRUE`, `1`, and `yes` rows are displayed.
+#'    Otherwise, the value to display must be specified in the `value`
+#'    argument, e.g. `value = list(varname ~ "level to show")`
+#'
 #' @export
 #' @return A table of class `c('tbl_summary', 'gtsummary')`
 #'
diff --git a/man/assign_summary_digits.Rd b/man/assign_summary_digits.Rd
new file mode 100644
index 0000000000..0e27003c33
--- /dev/null
+++ b/man/assign_summary_digits.Rd
@@ -0,0 +1,36 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/assign_summary_digits.R
+\name{assign_summary_digits}
+\alias{assign_summary_digits}
+\title{Assign Default Digits}
+\usage{
+assign_summary_digits(data, statistic, type, digits = NULL)
+}
+\arguments{
+\item{data}{(\code{data.frame})\cr
+a data frame}
+
+\item{statistic}{(\verb{named list})\cr
+a named list; notably, \emph{not} a \code{\link[=syntax]{formula-list-selector}}}
+
+\item{type}{(\verb{named list})\cr
+a named list; notably, \emph{not} a \code{\link[=syntax]{formula-list-selector}}}
+
+\item{digits}{(\verb{named list})\cr
+a named list; notably, \emph{not} a \code{\link[=syntax]{formula-list-selector}}.
+Default is \code{NULL}}
+}
+\value{
+a named list
+}
+\description{
+Used to assign the default formatting for variables summarized with
+\code{tbl_summary()}.
+}
+\examples{
+assign_summary_digits(
+  mtcars,
+  statistic = list(mpg = "{mean}"),
+  type = list(mpg = "continuous")
+)
+}
diff --git a/man/bridge_summary.Rd b/man/bridge_summary.Rd
index 314078c183..1fdca1effe 100644
--- a/man/bridge_summary.Rd
+++ b/man/bridge_summary.Rd
@@ -34,11 +34,13 @@ internally to organize results.}
 \item{value}{named list of values to be summarized. the names are the
 variable names.}
 
-\item{missing}{TODO:}
-
-\item{missing_text}{TODO:}
-
-\item{missing_stat}{TODO:}
+\item{missing, missing_text, missing_stat}{Arguments dictating how and if missing values are presented:
+\itemize{
+\item \code{missing}: must be one of \code{c("ifany", "no", "always")}
+\item \code{missing_text}: string indicating text shown on missing row. Default is \code{"Unknown"}
+\item \code{missing_stat}: statistic to show on missing row. Default is \code{"{N_miss}"}.
+Possible values are \code{N_miss}, \code{N_obs}, \code{N_nonmiss}, \code{p_miss}, \code{p_nonmiss}
+}}
 }
 \value{
 data frame
diff --git a/man/tbl_summary.Rd b/man/tbl_summary.Rd
index 33bf955889..a81f4e32cd 100644
--- a/man/tbl_summary.Rd
+++ b/man/tbl_summary.Rd
@@ -33,28 +33,43 @@ The default for each variable is the column label attribute, \code{attr(., 'labe
 If no label has been set, the column name is used.}
 
 \item{statistic}{(\code{\link[=syntax]{formula-list-selector}})\cr
-Used to specify the summary statistics for each variable.
-The default is
+Specifies summary statistics to display for each variable.  The default is
 \code{list(all_continuous() ~ "{median} ({p25}, {p75})", all_categorical() ~ "{n} ({p}\%)")}.
 See below for details.}
 
-\item{digits}{TODO:}
+\item{digits}{(\code{\link[=syntax]{formula-list-selector}})\cr
+Specifies how summary statistics are rounded. Values may be either integer(s)
+or function(s). If not specified, default formatting is assigned
+via \code{assign_summary_digits()}. See below for details.}
 
-\item{type}{TODO:}
+\item{type}{(\code{\link[=syntax]{formula-list-selector}})\cr
+Specifies the summary type. Accepted value are
+\code{c("continuous", "continuous2", "categorical", "dichotomous")}.
+If not specified, default type is assigned via
+\code{assign_summary_type()}. See below for details.}
 
-\item{value}{TODO:}
+\item{value}{(\code{\link[=syntax]{formula-list-selector}})\cr
+Specifies the level of a variable to display on a single row.
+The gtsummary type selectors, e.g. \code{all_dichotomous()}, cannot be used
+with this argument. Default is \code{NULL}. See below for details.}
 
-\item{missing}{TODO:}
-
-\item{missing_text}{TODO:}
-
-\item{missing_stat}{TODO:}
+\item{missing, missing_text, missing_stat}{Arguments dictating how and if missing values are presented:
+\itemize{
+\item \code{missing}: must be one of \code{c("ifany", "no", "always")}
+\item \code{missing_text}: string indicating text shown on missing row. Default is \code{"Unknown"}
+\item \code{missing_stat}: statistic to show on missing row. Default is \code{"{N_miss}"}.
+Possible values are \code{N_miss}, \code{N_obs}, \code{N_nonmiss}, \code{p_miss}, \code{p_nonmiss}
+}}
 
-\item{sort}{TODO:}
+\item{sort}{(\code{\link[=syntax]{formula-list-selector}})\cr
+Specifies sorting to perform for categorical variables.
+Values must be one of \code{c("alphanumeric", "frequency")}.
+Default is \code{all_categorical(FALSE) ~ "alphanumeric"}}
 
-\item{percent}{TODO:}
+\item{percent}{Indicates the type of percentage to return.
+Must be one of \code{c("column", "row", "cell")}. Default is \code{"column"}.}
 
-\item{include}{TODO:}
+\item{include}{variables to include in the summary table. Default is \code{everything()}}
 }
 \value{
 a gtsummary table of class \code{"tbl_summary"}
@@ -80,25 +95,14 @@ The values are interpreted using  \code{\link[glue:glue]{glue::glue()}} syntax:
 a name that appears between curly brackets will be interpreted as a function
 name and the formatted result of that function will be placed in the table.
 
-For categorical variables, the following statistics are available to display.
-\itemize{
-\item \code{{n}} frequency
-\item \code{{N}} denominator, or cohort size
-\item \code{{p}} formatted percentage
-}
+For categorical variables, the following statistics are available to display:
+\code{{n}} (frequency), \code{{N}} (denominator), \code{{p}} (percent).
 
-For continuous variables, \strong{any univariate function may be used}. Below is a list
-of the \emph{most commonly} used statistics.
-\itemize{
-\item \code{{median}} median
-\item \code{{mean}} mean
-\item \code{{sd}} standard deviation
-\item \code{{var}} variance
-\item \code{{min}} minimum
-\item \code{{max}} maximum
-\item \code{{sum}} sum
-\item \verb{\{p##\}} any integer percentile, where \verb{##} is an integer from 0 to 100
-}
+For continuous variables, \strong{any univariate function may be used}.
+The most commonly used functions are \code{{median}}, \code{{mean}}, \code{{sd}}, \code{{min}},
+and \code{{max}}.
+Additionally, \verb{\{p##\}} is available for percentiles, where \verb{##} is an integer from 0 to 100.
+For example, \code{p25: quantile(probs=0.25, type=2)}.
 
 When the summary type is \code{"continuous2"}, pass a vector of statistics.
 Each element of the vector will result in a separate row in the summary table.
@@ -115,6 +119,42 @@ display.
 }
 }
 
+\section{digits argument}{
+
+The digits argument specifies the the number of digits (or formatting function)
+statistics are rounded to.
+
+The values passed can either be a single integer, a vector of integers, a
+function, or a list of functions. If a single integer or function is passed,
+it is recycled to the length of the number of statistics presented.
+For example, if the statistic is \code{"{mean} ({sd})"}, it is equivalent to
+pass \code{1}, \code{c(1, 1)}, \code{styfn_number(digits=1)}, and
+\code{list(styfn_number(digits=1), styfn_number(digits=1))}.
+
+Named lists are also accepted to change the default formatting for a single
+statistic, e.g. \code{list(sd = styfn_number(digits=1))}.
+}
+
+\section{type and value arguments}{
+
+There are four summary types:
+\itemize{
+\item \code{"continuous"} summaries are shown on a \emph{single row}. Most numeric
+variables default to summary type continuous.
+\item \code{"continuous2"} summaries are shown on \emph{2 or more rows}
+\item \code{"categorical"} \emph{multi-line} summaries of nominal data. Character variables,
+factor variables, and numeric variables with fewer than 10 unique levels default to
+type categorical. To change a numeric variable to continuous that
+defaulted to categorical, use \code{type = list(varname ~ "continuous")}
+\item \code{"dichotomous"} categorical variables that are displayed on a \emph{single row},
+rather than one row per level of the variable.
+Variables coded as \code{TRUE}/\code{FALSE}, \code{0}/\code{1}, or \code{yes}/\code{no} are assumed to be dichotomous,
+and the \code{TRUE}, \code{1}, and \code{yes} rows are displayed.
+Otherwise, the value to display must be specified in the \code{value}
+argument, e.g. \code{value = list(varname ~ "level to show")}
+}
+}
+
 \examples{
 # Example 1 ----------------------------------
 tbl_summary_ex1 <-