Both the subjectivity & emotion lexicon when read in (say, as csv) construct a data frame for you. Adding entries to a data frame can be done using the rbind() function.
> patientID <- c(1, 2, 3, 4)
> age <- c(25, 34, 28, 52)
> diabetes <- c("Type1", "Type2", "Type1", "Type1")
> status <- c("Poor", "Improved", "Excellent", "Poor")
> patientdata <- data.frame(patientID, age, diabetes, status)
> patientdata
patientID age diabetes status
1 1 25 Type1 Poor
2 2 34 Type2 Improved
3 3 28 Type1 Excellent
4 4 52 Type1 Poor
> patientID <- c(10, 20, 30, 40)
> age <- c(50, 68, 56, 104)
> diabetes <- c("Type4", "Type5", "Type6", "Type7")
> status <- c("Poorish", "Improving", "Excellento", "Poorish")
> patientdata1 <- data.frame(patientID, age, diabetes, status)
> patientdata1
patientID age diabetes status
1 10 50 Type4 Poorish
2 20 68 Type5 Improving
3 30 56 Type6 Excellento
4 40 104 Type7 Poorish
> concatPD <- rbind(patientdata,patientdata1)
> concatPD
patientID age diabetes status
1 1 25 Type1 Poor
2 2 34 Type2 Improved
3 3 28 Type1 Excellent
4 4 52 Type1 Poor
5 10 50 Type4 Poorish
6 20 68 Type5 Improving
7 30 56 Type6 Excellento
8 40 104 Type7 Poorish
>
I simply added the weird types of diabetes to ensure that the 2 frames are distinguished. :-) In other words, you can create our own csv, read it (thereby creating another data frame) & rbind them. Ensure that the columns of both data frames are in sync.