@@ -3054,10 +3054,10 @@ setMethod("describe",
30543054# ' \item stddev
30553055# ' \item min
30563056# ' \item max
3057- # ' \item arbitrary approximate percentiles specified as a percentage (eg, "75%")
3057+ # ' \item arbitrary approximate percentiles specified as a percentage (eg, "75\ %")
30583058# ' }
30593059# ' If no statistics are given, this function computes count, mean, stddev, min,
3060- # ' approximate quartiles (percentiles at 25%, 50%, and 75%), and max.
3060+ # ' approximate quartiles (percentiles at 25\ %, 50\ %, and 75\ %), and max.
30613061# ' This function is meant for exploratory data analysis, as we make no guarantee about the
30623062# ' backward compatibility of the schema of the resulting Dataset. If you want to
30633063# ' programmatically compute summary statistics, use the \code{agg} function instead.
@@ -4019,9 +4019,9 @@ setMethod("broadcast",
40194019# '
40204020# ' Spark will use this watermark for several purposes:
40214021# ' \itemize{
4022- # ' \item{-} To know when a given time window aggregation can be finalized and thus can be emitted
4022+ # ' \item To know when a given time window aggregation can be finalized and thus can be emitted
40234023# ' when using output modes that do not allow updates.
4024- # ' \item{-} To minimize the amount of state that we need to keep for on-going aggregations.
4024+ # ' \item To minimize the amount of state that we need to keep for on-going aggregations.
40254025# ' }
40264026# ' The current watermark is computed by looking at the \code{MAX(eventTime)} seen across
40274027# ' all of the partitions in the query minus a user specified \code{delayThreshold}. Due to the cost
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