From 62547fecd5f1ea82cc5e0332ef8217a64a43e9be Mon Sep 17 00:00:00 2001 From: Marcel Costa Date: Sat, 5 Feb 2022 16:54:41 +0100 Subject: [PATCH] =?UTF-8?q?A=C3=B1adida=20opci=C3=B3n=20de=20escalado.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- man/ggheatmap.Rd | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/man/ggheatmap.Rd b/man/ggheatmap.Rd index bf4c9af..80ae147 100644 --- a/man/ggheatmap.Rd +++ b/man/ggheatmap.Rd @@ -2,7 +2,7 @@ \alias{ggheatmap} \title{ggheatmap} \usage{ -ggheatmap(df, x=NULL, y=NULL, value=NULL, grouping="mean", exclude_group=NULL) +ggheatmap(df, x=NULL, y=NULL, value=NULL, grouping="mean", exclude_group=NULL, scale="none") } \arguments{ \item{df}{A data frame in "long" format.} @@ -11,6 +11,7 @@ ggheatmap(df, x=NULL, y=NULL, value=NULL, grouping="mean", exclude_group=NULL) \item{value}{The variable that will be used for colouring the heatmap. If not specified, the third column will be used.} \item{grouping}{The function that will be used to group if there is more than one observation for each X-Y combination. "mean" or "median" are posible, defaulting to "mean".} \item{exclude_group}{If you want to exclude columns from grouping, you can introduce a character vector here. Useful if you want to facet the plot.} + \item{scale}{Escales (z-score) by "rows" or "cols" if diferent of "none" (default).} } \description{ Generates a heatmap using ggplot for a dataframe.