How to check multiple values using if condition [duplicate]

Answer 1

Records$Status<-ifelse(Records$Remarks %in% c("ABC","AAB","ABB"),TRUE,
                        ifelse(Records$Remarks %in% 
                                   c("XYZ","ZZX"),FALSE, NA))

You need to enclose your lists of strings with c(), and add an "else" condition for the second ifelse (but see Roman's answer below for a better way of doing this with case_when). (Also note that here I changed the "TRUE" and "FALSE" (as character class) into TRUE and FALSE (the logical class).

For the summary (using dplyr):

Records %>% group_by(ID) %>% 
dplyr::summarise(trues=sum(Status), falses=sum(!Status), sum=sum(Value))

# A tibble: 2 x 4
     ID trues falses   sum
      
1     1     2      1    37
2     2     1      1    26

Of course, if you don't really need the intermediate Status column but just want the summary table, you can skip the first step altogether:

Records %>% group_by(ID) %>% 
dplyr::summarise(trues=sum(Remarks %in% c("ABC","AAB","ABB")), 
  falses=sum(Remarks %in% c("XYZ","ZZX")), 
  sum=sum(Value))