blob: d68be2571bc6a122049befae177aff9c03cd5b58 [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.
#
#-------------------------------------------------------------
args <- commandArgs(TRUE)
library("Matrix")
library("imputeTS")
input_matrix = as.matrix(readMM(paste(args[1], "A.mtx", sep="")))
input_matrix[input_matrix==0] = NA
bins_in = as.numeric(args[2])
output = matrix(0, nrow=8, ncol=1)
Out = statsNA(input_matrix, bins = bins_in, print_only = FALSE)
output[1,1]=Out["length_series"][[1]]
output[2,1]=Out["number_NAs"][[1]]
output[3,1]=as.numeric(sub("%","",Out["percentage_NAs"][[1]],fixed=TRUE))/100
output[4,1]=Out["number_na_gaps"][[1]]
output[5,1]=Out["average_size_na_gaps"][[1]]
output[6,1]=Out["longest_na_gap"][[1]]
output[7,1]=Out["most_frequent_na_gap"][[1]]
output[8,1]=Out["most_weighty_na_gap"][[1]]
writeMM(as(output, "CsparseMatrix"), paste(args[3], "Out", sep=""))