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Weighting data with normal distribution

Alice Lin 
I have a vector of binary data ? a string of 0?s and 1?s. 
I want to weight these inputs with a normal kernel centered around entry x
so it is transformed into a new vector of data that takes into account the
values of the entries around it (weighting them more heavily if they are
near).

Example:
      -
   -     -
-          -
0 1 0 0 1 0 0 1 1 1 1 
If x = 3, it?s current value is 0 but it?s new value with the Gaussian
weighting around would be something like .1*0+.5*1+1*0+0.5*0+.1*1= 0.6

I want to be able to play with adjusting the variance to different values as
well.
I?ve found wkde in the mixtools library and think it may be useful but I
have not figured out how to use it yet.

Any tips would be appreciated.

Thanks!

Thread (2 messages)

Alice Lin Weighting data with normal distribution Mar 26 Mark Lyman Weighting data with normal distribution Mar 27