Find duplicated rows (based on 2 columns) in Data Frame in R

Question

I have a data frame in R which looks like:

| RIC    | Date                | Open   |
|--------|---------------------|--------|
| S1A.PA | 2011-06-30 20:00:00         


        

Answer 1

I think what you're looking for is a way to return a data frame of the duplicated rows in the same format as your original data. There is probably a more elegant way to do this but this works:

dup <- data.frame(as.numeric(duplicated(df$var))) #creates df with binary var for duplicated rows
colnames(dup) <- c("dup") #renames column for simplicity
df2 <- cbind(df, dup) #bind to original df
df3 <- subset(df2, dup == 1) #subsets df using binary var for duplicated`