[Solved] Error in setting up and cleaning a dataframe R

Question

Let’s simply read and think about the error message:

Error: variable ‘dummygen’ was fitted with type “numeric” but type “factor” was supplied

This error occurs after the line:

ooslogit <- predict.glm(logit, newlogit, se.fit=TRUE)

(Presumably, at least, because you’re question isn’t very clear about this and provides lots of code that doesn’t seem related.)

So R is telling you that when the model was fit the variable dummygen was numeric, but now you’ve given it a factor.

So let’s look:

str(newlogit)
'data.frame':   20 obs. of  2 variables:
 $ age     : num  1 1.26 1.53 1.79 2.05 ...
 $ dummygen: Factor w/ 1 level "0": 1 1 1 1 1 1 1 1 1 1 ...

Yep!

So your problem was that you inexplicably created the data frame newlogit by specifying:

newlogit <- data.frame(age=seq(1,6, length=20), dummygen=("0"))

which clearly specifies that the variable dummygen is not going to be numeric. Just convert it back, or remove the quotes in the first place. For example:

newlogit <- data.frame(age=seq(1,6, length=20), dummygen= 0)

or

newlogit$dummygen <- as.numeric(newlogit$dummygen)

Accepted Answer