RMap
Permits random sampling of the elements of the map. Elements are randomly sampled with equal probability based on the number of element in the map. There must be at least one element to permit random sampling.
Properties
If true, the stream will automatically participate in having its stream advanced to the next sub-stream via stream managers
Tells the stream to start producing antithetic variates
Selected a value equally likely from the map
If true, the stream will automatically participate in having its stream reset to its start stream via stream managers
the underlying stream of random numbers
Functions
Positions the RNG at the beginning of its next substream
Computes the box plot summaries for the data within the map
Computes the confidence intervals for the data in the map
The map of arrays is considered rectangular if all arrays in the map have the same number of elements (same size).
The resetStartStream method will position the RNG at the beginning of its stream. This is the same location in the stream as assigned when the RNG was created and initialized.
Resets the position of the RNG at the start of the current substream
Computes the statistical summaries for the data within the map
Converts the data map to a 2-D array. The values of the map are extracted
Converts the data stored in each array to columns within a DataFrame, with the column names as the key from the map and the columns holding the data. Each array must have the same size.
Converts the inner DoubleArray to List
Converts the data map to a long format view of the observations.
Assigns the stream associated with the supplied number from the default RNStreamProvider