Evaluate different logical conditions from string for each row

Question

I have a data.frame like this:

  value     condition
1  0.46   value > 0.5
2  0.96 value == 0.79
3  0.45 value <= 0.65
4  0.68 value == 0.         


        

Answer 1

Using match.fun:

# get function, and the value
myFun <- lapply(strsplit(df1$condition, " "), function(i){
  list(f = match.fun(i[ 2 ]), 
       v = as.numeric(i[ 3 ]))
})

df1$goal <- mapply(function(x, y){ 
  x[[ "f" ]](y, x[ "v" ])
  }, x = myFun, y = df1$value)

#   value     condition  goal
# 1  0.46   value > 0.5 FALSE
# 2  0.96 value == 0.79 FALSE
# 3  0.45 value <= 0.65  TRUE
# 4  0.68 value == 0.88 FALSE
# 5  0.57   value < 0.9  TRUE
# 6  0.10  value > 0.01  TRUE
# 7  0.90  value >= 0.6  TRUE
# 8  0.25  value < 0.91  TRUE
# 9  0.04   value > 0.2 FALSE