CODEWITHSUNDEEP
rglmpredict
Hoffmann
Hoffmann

Reputation: 1082

predict values for glm model build without the case itself

I'd like to predict values using a generated model. That is the simple part:

predicted = fitted.values(glm(dep ~ indep, family = myFamily, maxit = myMaxit)

But: for each case I don't want to use that case for building that model (without using a for-loop)

Example:

Grade  Sex  Age  Course  School
-------------------------------
  1    m    11   math    St.Adam
  2    w    12   engl    St.Adam
  3    m    13   fren    St.Adam
  4    w    14   math    St.Eve
  5    m    15   engl    St.Eve
  6    w    16   fren    St.Eve
    …   …     …     …        …

Assume I want to predict a mean grade for St.Adam's pupils but don't want to use them for building the model.

Upvotes: 0

Views: 149

Answers (1)

Thomas
Thomas

Reputation: 44555

Maybe something like...

lapply(1:dim(df)[1], FUN = function(x)
    fitted.values(glm(dep ~ indep, family = myFamily, maxit = myMaxit, data=df[-x,])) )

Upvotes: 1

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