blob: 4dc92846a2ba4f4273f6a09ab76c269cfc4be94c [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
# Returns the quantiles requested, but treating the input matrix X as a flattened matrix
# to return quantiles of all cells as if it was a continuous allocation.
#
# INPUT:
# --------------------------------------------------------------------------------
# X Matrix with values to extract quantiles from.
# P Quantiles to extract as well if empty matrix not calculated
# --------------------------------------------------------------------------------
#
# OUTPUT:
# -----------------------------------------------------------------------------------------------
# Q Quantiles calculated
# -----------------------------------------------------------------------------------------------
m_flattenQuantile = function(Matrix[Double] X, Matrix[Double] P)
return (Matrix[Double] Q){
Q = matrix(0, rows=0, cols=0)
if(nrow(P) > 0){ # calculate the quantiles
flatten_X = matrix(X, nrow(X) * ncol(X), 1)
quantile_X = quantile(flatten_X, P)
Q = t(quantile_X)
}
}