Here's one way to do it ...
# create example data frame
y <- rnorm(30)
gene_subset <- data.frame(y, x1=rnorm(30), x2=rnorm(30), x3=100*y+rnorm(30))
# fit a full linear model
fit <- lm(y ~ ., df)
# reduce the model
reduced_model <- stepAIC(fit, trace=FALSE)
# NON-omitted variables (excluding the
I am regressing a gene on another gene subset. Then I use stepAIC to reduce
the number of explanatory genes. How do I get the index of the NON-omitted
variables, so that I could analyse them?
gene_subset=c(y=genes[,i], genes[,other_genes]);
reduced_model=stepAIC(y~.,data=gene_subset,trace=
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