CODEWITHSUNDEEP
rcross-validationglmcv.glm
user303287
user303287

Reputation: 131

cv.glm variable lengths differ despite correct model formula

I am experiencing the same error as raised and answered here (cv.glm variable lengths differ) and in various other threads. Despite using the "correct" formula structure as suggested in all these threads, the error persists:

mod <- glm(Y ~ Var_1, data = df, family = binomial)

cv.glm(df, mod, K=8)

Error in model.frame.default(formula = Y ~ Var_1, data = list( : variable lengths differ (found for 'Var1')

Are there any other known sources of this issue?

Upvotes: 0

Views: 105

Answers (1)

user303287
user303287

Reputation: 131

My response variable was actually defined as

Y <- cbind(df$Y2, df$Y1-Y2), and so whilst the model formula looked like it was in the correct format, the way my response variable was created posed an issue.

If I use the alternative of:

mod <- glm(Y2/Y1 ~ Var1, family = binomial, data = df, weights = Y1)

then running boot::cv.glm(df, mod, K = 8) works.

Upvotes: 0

Related Questions