Thanks! This is actually simpler than I anticipated it to be. Great work! I will try it out. However, I was wondering, do you not think that we are losing a nuance in the data by converting it into a binary variable? For example, maybe there's some important information between "having an item (1) and not having that item (0), which is most likely lost when categorising into a binary variable?
@BhuruJoker8 ай бұрын
Great video. Thanks so much. My question is why "predict comp1" only? What if comp2 and comp3 have eigen values greater than 1, do we also run the "predict comp2" and "predict comp2" command.
@aklimakhatun15305 ай бұрын
After comp1, is the procedure the same for all other components?
@biostatbd5 ай бұрын
@@aklimakhatun1530 Yes, if you need 2nd or 3rd, then type predict comp2 comp3
@josephbini89408 ай бұрын
please i have this message : estat kmo correlation matrix is singular