with {SparkR} | R Documentation |
Evaluate a R expression in an environment constructed from a SparkDataFrame with() allows access to columns of a SparkDataFrame by simply referring to their name. It appends every column of a SparkDataFrame into a new environment. Then, the given expression is evaluated in this new environment.
with(data, expr, ...) ## S4 method for signature 'SparkDataFrame' with(data, expr, ...)
data |
(SparkDataFrame) SparkDataFrame to use for constructing an environment. |
expr |
(expression) Expression to evaluate. |
... |
arguments to be passed to future methods. |
## Not run:
##D with(irisDf, nrow(Sepal_Width))
## End(Not run)