Using Cut2 to combine/collapse categories from a dataset

Question

I am new to R and I'm struggling with this.

I am trying to use cut2 to combine preexisting categories from a dataset with variables

I loaded

library(poliscidata)

Followed

freq(gss$polviews, gss$wtss)

Followed by

library(Hmisc)

The results I get back at varying degrees of political affiliation between Liberal, Conservative, and Moderate on the frequency chart from slight to extreme.

I am trying to utilize cut2 to create a new variable by combining the 3 varying degrees of liberal into one liberal category, and for the three varying degrees of conservative into one conservative group.

I tried:

gss$polviews3 = as.numeric(cut2(gss$polviews))

But what I get back is

Error in Summary.factor(c(1L, 1L, 1L, 1L, 1L, 1L), na.rm = FALSE) : 
‘min’ not meaningful for factors