blob: 62304c7811deb07baa63c19aa4058ec4ee81dfc4 [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)
options(digits=22)
library("Matrix")
library("DescTools")
Salaries <- read.csv(args[1], header=TRUE, na.strings = "19")
mode = Mode(Salaries$yrs.since.phd, na.rm = TRUE)
Salaries$yrs.since.phd[is.na(Salaries$yrs.since.phd)]<-mode
t = Salaries$yrs.service
mean = mean(t, na.rm = TRUE)
Salaries$yrs.service[is.na(Salaries$yrs.service)]<-mean
output = cbind(Salaries$yrs.since.phd, Salaries$yrs.service)
Mode <- function(x, na.rm = FALSE) {
if(na.rm){
x = x[!is.na(x)]
}
ux <- unique(x)
return(ux[which.max(tabulate(match(x, ux)))])
}
writeMM(as(output, "CsparseMatrix"), paste(args[2], "B", sep=""));