diff --git a/NAMESPACE b/NAMESPACE
index e89863807..afd84cb87 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -228,6 +228,7 @@ export(data_adjust)
 export(data_arrange)
 export(data_codebook)
 export(data_duplicated)
+export(data_expand)
 export(data_extract)
 export(data_filter)
 export(data_find)
diff --git a/R/data_expand.R b/R/data_expand.R
new file mode 100644
index 000000000..e0d528031
--- /dev/null
+++ b/R/data_expand.R
@@ -0,0 +1,69 @@
+#' @title Expand (i.e. replicate rows) a data frame
+#' @name data_expand
+#'
+#' @description
+#' Expand a data frame by replicating rows based on another variable that
+#' contains the counts of replications per row.
+#'
+#' @param data A data frame.
+#' @param expand The name of the column that contains the counts of replications
+#' for each row.
+#' @param ... Currently not used.
+#' @inheritParams find_columns
+#'
+#' @return `data`, with each row replicated as many times as defined in `expand`.
+#'
+#' @examples
+#' data(mtcars)
+#' data_expand(head(mtcars), "carb")
+#' @export
+data_expand <- function(data,
+                        expand = NULL,
+                        select = NULL,
+                        exclude = NULL,
+                        remove_na = FALSE,
+                        ignore_case = FALSE,
+                        verbose = TRUE,
+                        regex = FALSE,
+                        ...) {
+  # we need a name for the new column
+  if (is.null(expand)) {
+    insight::format_error(
+      "No column that should be used to expand the data frame was provided. Please use `expand` to define a column."
+    )
+  }
+
+  # only one column name
+  if (length(expand) > 1) {
+    insight::format_error(
+      "Please provide only a single string for `expand`, no character vector with multiple values."
+    )
+  }
+
+  # check if in data
+  if (!expand %in% colnames(data)) {
+    insight::format_error(
+      "The column provided in `expand` does not exist in the data frame.",
+      .misspelled_string(colnames(data), expand, "Possibly misspelled?")
+    )
+  }
+
+  # evaluate select/exclude, may be select-helpers
+  select <- .select_nse(select,
+    data,
+    exclude,
+    ignore_case,
+    regex = regex,
+    verbose = verbose
+  )
+
+  # extract variable that contains the counts of replicates
+  replicates <- data[[expand]]
+  # we can remove that column now
+  data[[replicates]] <- NULL
+
+  # fin
+  as.data.frame(do.call(cbind, lapply(data[select], function(variable) {
+    unlist(Map(rep, variable, replicates), use.names = FALSE)
+  })))
+}
diff --git a/_pkgdown.yaml b/_pkgdown.yaml
index 2adc0768c..93043c95a 100644
--- a/_pkgdown.yaml
+++ b/_pkgdown.yaml
@@ -20,6 +20,7 @@ reference:
       - data_partition
       - data_rotate
       - data_group
+      - data_expand
       - data_duplicated
       - data_unique
 
diff --git a/man/data_expand.Rd b/man/data_expand.Rd
new file mode 100644
index 000000000..b3f14e19d
--- /dev/null
+++ b/man/data_expand.Rd
@@ -0,0 +1,88 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data_expand.R
+\name{data_expand}
+\alias{data_expand}
+\title{Expand (i.e. replicate rows) a data frame}
+\usage{
+data_expand(
+  data,
+  expand = NULL,
+  select = NULL,
+  exclude = NULL,
+  remove_na = FALSE,
+  ignore_case = FALSE,
+  verbose = TRUE,
+  regex = FALSE,
+  ...
+)
+}
+\arguments{
+\item{data}{A data frame.}
+
+\item{expand}{The name of the column that contains the counts of replications
+for each row.}
+
+\item{select}{Variables that will be included when performing the required
+tasks. Can be either
+\itemize{
+\item a variable specified as a literal variable name (e.g., \code{column_name}),
+\item a string with the variable name (e.g., \code{"column_name"}), or a character
+vector of variable names (e.g., \code{c("col1", "col2", "col3")}),
+\item a formula with variable names (e.g., \code{~column_1 + column_2}),
+\item a vector of positive integers, giving the positions counting from the left
+(e.g. \code{1} or \code{c(1, 3, 5)}),
+\item a vector of negative integers, giving the positions counting from the
+right (e.g., \code{-1} or \code{-1:-3}),
+\item one of the following select-helpers: \code{starts_with()}, \code{ends_with()},
+\code{contains()}, a range using \code{:} or \code{regex("")}. \code{starts_with()},
+\code{ends_with()}, and  \code{contains()} accept several patterns, e.g
+\code{starts_with("Sep", "Petal")}.
+\item or a function testing for logical conditions, e.g. \code{is.numeric()} (or
+\code{is.numeric}), or any user-defined function that selects the variables
+for which the function returns \code{TRUE} (like: \code{foo <- function(x) mean(x) > 3}),
+\item ranges specified via literal variable names, select-helpers (except
+\code{regex()}) and (user-defined) functions can be negated, i.e. return
+non-matching elements, when prefixed with a \code{-}, e.g. \code{-ends_with("")},
+\code{-is.numeric} or \code{-(Sepal.Width:Petal.Length)}. \strong{Note:} Negation means
+that matches are \emph{excluded}, and thus, the \code{exclude} argument can be
+used alternatively. For instance, \code{select=-ends_with("Length")} (with
+\code{-}) is equivalent to \code{exclude=ends_with("Length")} (no \code{-}). In case
+negation should not work as expected, use the \code{exclude} argument instead.
+}
+
+If \code{NULL}, selects all columns. Patterns that found no matches are silently
+ignored, e.g. \code{find_columns(iris, select = c("Species", "Test"))} will just
+return \code{"Species"}.}
+
+\item{exclude}{See \code{select}, however, column names matched by the pattern
+from \code{exclude} will be excluded instead of selected. If \code{NULL} (the default),
+excludes no columns.}
+
+\item{ignore_case}{Logical, if \code{TRUE} and when one of the select-helpers or
+a regular expression is used in \code{select}, ignores lower/upper case in the
+search pattern when matching against variable names.}
+
+\item{verbose}{Toggle warnings.}
+
+\item{regex}{Logical, if \code{TRUE}, the search pattern from \code{select} will be
+treated as regular expression. When \code{regex = TRUE}, select \emph{must} be a
+character string (or a variable containing a character string) and is not
+allowed to be one of the supported select-helpers or a character vector
+of length > 1. \code{regex = TRUE} is comparable to using one of the two
+select-helpers, \code{select = contains("")} or \code{select = regex("")}, however,
+since the select-helpers may not work when called from inside other
+functions (see 'Details'), this argument may be used as workaround.}
+
+\item{...}{Currently not used.}
+}
+\value{
+\code{data}, with each row replicated as many times as defined in \code{expand}.
+}
+\description{
+Expand a data frame by replicating rows based on another variable that
+contains the counts of replications per row.
+}
+\examples{
+data(mtcars)
+data_expand(head(mtcars), "carb")
+}