create hash value for each row of data in dataframe in R

Question

I am exploring how to compare two dataframe in R more efficiently, and I come up with hash.

My plan is to create hash for each row of data in two dataframe with same

Answer 1

If I get what you want properly, digest will work directly with apply:

library(digest)
ssi.10q3.v1.hash <- data.frame(uid = 1:nrow(ssi.10q3.v1), hash = apply(ssi.10q3.v1, 1, digest))

Answer 2

I know this answer doesn't match the title of the question, but if you just want to see when rows are different you can do it directly:

rowSums(df2 == df1) == ncol(df1)

Assuming both data.frames have the same dimensions, that will evaluate to FALSE for every row that is not identical. If you need to test rownames as well that could be manage seperately and combined with the test of contents, and similarly for colnames (and attributes, and strict tests on column types).

 rowSums(df2 == df1) == ncol(df1) & rownames(df2) == rownames(df1)