blob: 7f371cd9bef9f7ce077a58102d1f6e4be48bb85e [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.
#
#-------------------------------------------------------------
m_scale = function(Matrix[Double] X, Boolean center, Boolean scale) return (Matrix[Double] Y) {
# This function centers scales and performs z-score on the input matrix X
if( center )
X = X - colMeans(X);
if (scale) {
N = nrow(X);
if( center )
cvars = (colSums(X^2) - N*(colMeans(X)^2))/(N-1);
else
cvars = colSums(X^2)/(N-1);
#scale by std-dev and replace NaNs with 0's
X = replace(target=X/sqrt(cvars),
pattern=NaN, replacement=0);
}
Y = X;
}