| cume_dist {SparkR} | R Documentation | 
Window function: returns the cumulative distribution of values within a window partition, i.e. the fraction of rows that are below the current row.
cume_dist(x = "missing") ## S4 method for signature 'missing' cume_dist()
| x | empty. Should be used with no argument. | 
N = total number of rows in the partition cume_dist(x) = number of values before (and including) x / N
This is equivalent to the CUME_DIST function in SQL.
cume_dist since 1.6.0
Other window_funcs: dense_rank,
lag, lead,
ntile, percent_rank,
rank, row_number
## Not run: 
##D   df <- createDataFrame(mtcars)
##D   ws <- orderBy(windowPartitionBy("am"), "hp")
##D   out <- select(df, over(cume_dist(), ws), df$hp, df$am)
## End(Not run)