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DESCRIPTION

@@ -35,4 +35,4 @@ Config/testthat/edition: 3
 Encoding: UTF-8
 Language: en-US
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.0

R/experDesign-package.R

@@ -1,15 +1,22 @@
-#' experDesign: Expert experiment design in batches
-#'
-#' Enables easy distribution of samples per batch avoiding batch and
-#' confounding effects by randomization of the variables in each batch.
-#'
-#' The most important function is [design()], which distributes
-#' samples in batches according to the information provided.
-#'
-#' To help in the bench there is the [inspect()] function that appends
-#' the group to the data provided.
-#' @author Lluís Revilla
-#' @name experDesign-package
-#' @aliases experDesign
-#' @docType package
-NULL
+#' experDesign: Expert experiment design in batches
+#'
+#' Enables easy distribution of samples per batch avoiding batch and
+#' confounding effects by randomization of the variables in each batch.
+#'
+#' The most important function is [design()], which distributes
+#' samples in batches according to the information provided.
+#'
+#' To help in the bench there is the [inspect()] function that appends
+#' the group to the data provided.
+#'
+#' If you have a grid or some spatial data, you might want to look at the
+#' [spatial()] function to distribute the samples while keeping the original
+#' design.
+#'
+#' In case an experiment was half processed and you need to extend it you can
+#'  use [follow_up()] or [follow_up2()]. It helps selecting which samples
+#'  already used should be used in the follow up.
+#' @author Lluís Revilla
+#' @name experDesign-package
+#' @aliases experDesign
+"_PACKAGE"