| percent_rank {SparkR} | R Documentation | 
Window function: returns the relative rank (i.e. percentile) of rows within a window partition.
percent_rank(x = "missing") ## S4 method for signature 'missing' percent_rank()
| x | empty. Should be used with no argument. | 
This is computed by:
(rank of row in its partition - 1) / (number of rows in the partition - 1)
This is equivalent to the PERCENT_RANK function in SQL.
percent_rank since 1.6.0
Other window_funcs: cume_dist,
dense_rank, lag,
lead, ntile,
rank, row_number
## Not run: 
##D   df <- createDataFrame(mtcars)
##D   ws <- orderBy(windowPartitionBy("am"), "hp")
##D   out <- select(df, over(percent_rank(), ws), df$hp, df$am)
## End(Not run)