Hello, I have data with 1500+ observations. Each observation has two attributes _id_, a self identifier, and _parentid_, identifying a single association with a previous observation. The value of _parentid_ can either be the _id_ value of that single associated observation or NA. Different observations can be associated with the same previous observation and share the same value for _parentid_. In this way, these 1500+ observations form a directed graph made up of several disconnected clusters (of various sizes) and several isolates. I need to identify these disconnected clusters of two or more observations. I have been trying to figure out how to use the network, sna, and kinship packages, but, without little time before finals to read the relevant literature, I am desperate for some helpful advice. Thank you in advance-- John
Hello, I have data with 1500+ observations. Each observation has two attributes _id_, a self identifier, and _parentid_, identifying a single association with a previous observation. The value of _parentid_ can either be the _id_ value of that single associated observation or NA. Different observations can be associated with the same previous observation and share the same value for _parentid_. In this way, these 1500+ observations form a directed graph made up of several disconnected clusters (of various sizes) and several isolates. I need to identify these disconnected clusters of two or more observations. I have been trying to figure out how to use the network, sna, and kinship packages, but, without little time before finals to read the relevant literature, I am desperate for some helpful advice. Thank you in advance-- John