I want to create a new list of data comparing whether the predict will be equal actual in every row of the data in order to check for my correctly predicted outcome. sorry if my code is very messy and inefficient. I need some guideline for the problem stated below. thank you.
First i create a list for predict and actual
predict <-list(compare_result[,1])`
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
1 1 0 1 0 0 1 1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 0 1 0 0
actual <-list(compare_result[,2])
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
0 1 1 1 1 1 0 1 0 1 1 0 1 1 0 1 1 0 0 0 1 0 1 1 0 0 0
Then i try to use the ifelse statement for both of the list but an error came out:
> comapare2 <- ifelse(predict=actual,"true","false")
Error in ifelse(predict = actual, "true", "false") :
unused argument (predict = actual)
You can compare two vectors directly, e.g.:
matches <- compare_results[, 1] == compare_results[,2]
and then if you need that to be a list (not sure why), just cast the final result:
matches_list <- as.list(matches)