[SOLVED] False positive and false negative without loop in R

False positive and false negative without loop in R

I have the following dataframe (simplified example)

   y.true yhat
1       U    E
2       E    U
3       U    E
4       E    U
5       E    U
6       U    E
7       E    U
8       E    E
9       U    U
10      E    E

I need to calculate the number of false negative (y.true==U,yhat==E) and false positive (y.true==E,yhat==U) where E=0, U=1 in my case. Of course I could right a for loop of the type:

FP<-0
FN<-0
for (i in 1:dim(df.b)[1]) {
  if (df.b[i,1]=='U' & df.b[i,2]=='E') {
    FN<-FN+1
  }
  else if (df.b[i,1]=='E' & df.b[i,2]=='U') {
    FP<-FP+1
  }
}

However: is there a more efficient way to get this task done using logical indexing instead of a loop?

Solution

If df.b is your data.frame, you don't need to use a for-loop at all.

FP <- sum(df.b$y.true == 'U' & df.b$yhat == 'E')
FN <- sum(df.b$y.true == 'E' & df.b$yhat == 'U')