How to check if two data frames are equal

Question

Say I have large datasets in R and I just want to know whether two of them they are the same. I use this often when I'm experimenting different algorithms to achieve the same result. For example, say we have the following datasets:

df1 <- data.frame(num = 1:5, let = letters[1:5])
df2 <- df1
df3 <- data.frame(num = c(1:5, NA), let = letters[1:6])
df4 <- df3

So this is what I do to compare them:

table(x == y, useNA = 'ifany')

Which works great when the datasets have no NAs:

> table(df1 == df2, useNA = 'ifany')
TRUE 
  10 

But not so much when they have NAs:

> table(df3 == df4, useNA = 'ifany')
TRUE <NA> 
  11    1 

In the example, it's easy to dismiss the NA as not a problem since we know that both dataframes are equal. The problem is that NA == <anything> yields NA, so whenever one of the datasets has an NA, it doesn't matter what the other one has on that same position, the result is always going to be NA.

So using table() to compare datasets doesn't seem ideal to me. How can I better check if two data frames are identical?

P.S.: Note this is not a duplicate of R - comparing several datasets, Comparing 2 datasets in R or Compare datasets in R

Answer 1

Look up all.equal. It has some riders but it might work for you.

all.equal(df3,df4)
# [1] TRUE
all.equal(df2,df1)
# [1] TRUE