diff --git a/man/gt.Rd b/man/gt.Rd index 809688a457..8ceae7dde6 100644 --- a/man/gt.Rd +++ b/man/gt.Rd @@ -38,9 +38,9 @@ column name provided to \code{rowname_col} will be ignored.} \verb{scalar} // \emph{default:} \code{NULL} (\code{optional}) The column name in the input \code{data} table to use as group labels for -generation of stub row groups. If the input \code{data} table has the -\code{grouped_df} class (through use of the \code{\link[dplyr:group_by]{dplyr::group_by()}} function or -associated \verb{group_by*()} functions) then any input here is ignored.} +generation of row groups. If the input \code{data} table has the \code{grouped_df} +class (through use of the \code{\link[dplyr:group_by]{dplyr::group_by()}} function or associated +\verb{group_by*()} functions) then any input here is ignored.} \item{process_md}{\emph{Process Markdown in \code{rowname_col} and \code{groupname_col}} @@ -117,17 +117,18 @@ before rendering to a display table of various formats. } \details{ There are a few data ingest options we can consider at this stage. We can -choose to create a table stub with rowname captions using the \code{rowname_col} -argument. Further to this, stub row groups can be created with the -\code{groupname_col}. Both arguments take the name of a column in the input table -data. Typically, the data in the \code{groupname_col} will consist of categories -of data in a table and the data in the \code{rowname_col} are unique labels -(perhaps unique across the entire table or unique within groups). +choose to create a table stub containing row labels through the use of the +\code{rowname_col} argument. Further to this, stub row groups can be created with +the \code{groupname_col} argument. Both arguments take the name of a column in the +input table data. Typically, the data in the \code{groupname_col} column will +consist of categorical text whereas the data in the \code{rowname_col} column will +contain unique labels (could be unique across the entire table or unique +within the different row groups). Row groups can also be created by passing a \code{grouped_df} to \code{gt()} by using the \code{\link[dplyr:group_by]{dplyr::group_by()}} function on the table data. In this way, two or more columns of categorical data can be used to make row groups. The -\code{row_group.sep} argument allows for control in how the row group label will +\code{row_group.sep} argument allows for control in how the row group labels will appear in the display table. } \section{Examples}{