From ac077b086c43c294d80a538edb7e01ea04c60ee6 Mon Sep 17 00:00:00 2001
From: Alexandre Courtiol <alexandre.courtiol@gmail.com>
Date: Sat, 28 Oct 2023 17:30:58 +0200
Subject: [PATCH] Add value field in documentation

---
 DESCRIPTION | 2 +-
 NEWS.md     | 4 ++++
 R/lay.R     | 2 ++
 man/lay.Rd  | 3 +++
 4 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index d7560a2..b4e7559 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: lay
 Title: Simple but Efficient Rowwise Jobs
-Version: 0.1.2
+Version: 0.1.3
 Authors@R: c(
     person("Alexandre", "Courtiol", email = "alexandre.courtiol@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0637-2959")),
     person("Romain", "François", role = c("aut"), comment = c(ORCID = "0000-0002-2444-4226"))
diff --git a/NEWS.md b/NEWS.md
index 801f3c0..72f47ca 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,7 @@
+# lay 0.1.3
+
+* Add value field in documentation to meet CRAN requirements.
+
 # lay 0.1.2
 
 * Initial CRAN submission.
diff --git a/R/lay.R b/R/lay.R
index b183458..d157be4 100644
--- a/R/lay.R
+++ b/R/lay.R
@@ -51,6 +51,8 @@
 #'
 #'   The default has been chosen based on these [**benchmarks**](https://courtiol.github.io/lay/articles/benchmarks.html).
 #'
+#' @return A vector with one element per row of `.data`, or a data frame (or tibble) with one row per row of `.data`. The class of the output is determined by `.fn`.
+#'
 #' @importFrom vctrs vec_c
 #' @importFrom rlang list2 exec as_function
 #' @importFrom purrr pmap
diff --git a/man/lay.Rd b/man/lay.Rd
index d8ca7ae..506dcbf 100644
--- a/man/lay.Rd
+++ b/man/lay.Rd
@@ -33,6 +33,9 @@ across columns.
 
 The default has been chosen based on these \href{https://courtiol.github.io/lay/articles/benchmarks.html}{\strong{benchmarks}}.}
 }
+\value{
+A vector with one element per row of \code{.data}, or a data frame (or tibble) with one row per row of \code{.data}. The class of the output is determined by \code{.fn}.
+}
 \description{
 Create efficiently new column(s) in data frame (including tibble) by applying a function one row
 at a time.