table , exclude - count the frequency in a data frame but exclude one value

with(df, table(x=factor(x, exclude=1), y))

with(df, table(x=factor(x, exclude=1), y=factor(y, levels=3:1)))

Hi,

   I have a data frame with two variables x, y, both of which take values
in the set {1,2,3}. I'd like to count the frequency by the command "table",
but exclude the value "1" in variable x, but keep "1" in variable y. Is it
possible?  When I use "exclude", value 1 in both x and y are excluded.
Thanks,

df <- data.frame(x = 1:3, y = 3:1, z = letters[1:3])
table(df[,c("y","x")])

   x
y   1 2 3
  1 0 0 1
  2 0 1 0
  3 1 0 0

table(df[,c("y","x")], exclude = 1)

   x
y   2 3
  2 1 0
  3 0 0

table(df[,c("y","x")], exclude = c(NULL, 1))

   x
y   2 3
  2 1 0
  3 0 0

table(df[,c("y","x")], exclude = c(1, NULL))

   x
y   2 3
  2 1 0
  3 0 0

table(df[,c("y","x")], exclude = c(1, 0))

   x
y   2 3
  2 1 0
  3 0 0

table(df[,c("y","x")], exclude = list(1 , NULL))

Error in as.vector(exclude, typeof(x)) :
  (list) object cannot be coerced to type 'integer'

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