How do I calculate the hamming distance in R on a set of binary values?

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I need to compute the hamming distance and plot them in clusters in R for a dataset that has 2 columns and 45,000+ rows. Is there well known library available for this? Or do any strategies come recommended stronger than others?

I tried the hamming.distance function from the package "e1071", and get the error below. But even if I figure out how to calculate the hamming distance, I am not sure how to transition from those results to a cluster graph?

Error: evaluation nested too deeply: infinite recursion/options(expressions=)?
2015-02-02 18:50:59.704 R[1162:679616] Communications error:    <OS_xpc_error<error: 0x7fff7aaadb60> { count = 1, contents =
"XPCErrorDescription" => <string: 0x7fff7aaadfa8> { length = 22, contents =    "Connection interrupted" }

I tried this code:

 H<-hamming.distance(df)

Where df looks like this:

Name   Code
name1   0
name2   0
name3   1
name4   1
name5   0

Thank you for looking at this question and any help is greatly appreciated.

asked 50 secs ago

silverlight

20

How do I calculate the hamming distance in R on a set of binary values?