How can I use the row.names attribute to order the rows of my dataframe in R?

I created a random forest and predicted the classes of my test set, which are living happily in a dataframe: ``` row.names class 564028 1 275747 1 601137 0 922930 1 481988 1 ... ``` The `row.names` attribute tells me which row is which, before I did various operations that scrambled the order of the rows during the process. So far so good. Now I would like get a general feel for the accuracy of my predictions. To do this, I need to take this dataframe and reorder it in ascending order according to the `row.names` attribute. This way, I can compare the observations, row-wise, to the labels, which I already know. Forgive me for asking such a basic question, but for the life of me, I can't find a good source of information regarding how to do such a trivial task. The documentation implores me to: use `attr(x, "row.names")` if you need to retrieve an integer-valued set of row names. but this leaves me with nothing but `NULL`. My question is, how can I use `row.names` which has been loyally following me around in the various incarnations of dataframes throughout my workflow? Isn't this what it is there for?