prep CRAN v0.5.6

R/sentomeasures_main.R

@@ -183,9 +183,8 @@ ctr_agg <- function(howWithin = "proportional", howDocs = "equal_weight", howTim
 #' \item{stats}{a \code{data.frame} with a series of elementary statistics (mean, standard deviation, maximum, minimum, and
 #' average correlation with all other measures) for each individual sentiment measure.}
 #' \item{sentiment}{the sentiment scores \code{data.table} with \code{"date"}, \code{"word_count"} and lexicon--feature
-#' sentiment scores columns. The \code{"date"} column has the dates already converted at the frequency for
-#' the across-document aggregation.
-#' If \code{ctr$do.ignoreZeros = TRUE}, all zeros are replaced by \code{NA}.}
+#' sentiment scores columns. The \code{"date"} column has the dates converted at the frequency for
+#' across-document aggregation. All zeros are replaced by \code{NA} if \code{ctr$do.ignoreZeros = TRUE}.}
 #' \item{howDocs}{a single \code{character} vector to remind how sentiment across documents was aggregated.}
 #' \item{fill}{a single \code{character} vector that specifies if and how missing dates have been added before
 #' aggregation across time was carried out.}