s1056035_HW_1_BDA

s1056035_HW_1_BDA.R

#!/usr/bin/Rscript
# Name : Rosdyana Kusuma
# Student ID : s1056035
# mail : me@rosdyanakusuma.com , rosdyana.kusuma@gmail.com
# site : rosdyanakusuma.com

# read input data.
dataInput = read.csv("input.csv", header=F , sep=",")

# create confusion matrix.
table <- table(dataInput[,1],dataInput[,2])
x = table

# check the matrix result
x

# init
appliedCol = NULL
maxVal = max(x)
minVal = min(x)

# re-position the highest value in column based on their row position.
# my codes isn't optimize, its ugly codes
for(a in maxVal:minVal)
{
  # check value is exist or not
  if( a %in% x){
    # get current position
    CurPos = which(x[,] == a, arr.ind=T)  
    
    # extract the postion
    RowPos = CurPos[1]
    ColPos = CurPos[2]
    
    if(any(appliedCol==ColPos) ){
      print("column fixed") 
    } else {
      if(is.null(appliedCol) || !(RowPos %in% appliedCol) ){
        print("moved to new column")
        x[ , c(ColPos,RowPos)] <- x[ , c(RowPos,ColPos)]
        appliedCol = append(appliedCol,RowPos)    
      } else {
        print("column already assigned")
      }
    }
    print(x)   
  }
}

# check the matrix result
x

# write into output.csv
write.table(x, file="output.csv",col.names=F,row.names=F,sep = ",")