id = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
strata = c(6, 6, 6, 7, 7, 7, 8, 8, 8, 8, 8, 8)
weight = c(60, 75, 85, 140, 170, 175, 270, 310, 325, 785, 1450, 3920)
fpc = c(8, 8, 8, 7, 7, 7, 6, 6, 6, 6, 6, 6)
answer = c("2", "2", "3", "1", "2", NA, NA, 2, "3", NA, "1", NA)
df = data.frame(id, strata, weight, fpc, answer)
df <- df[complete.cases(df), ]

dstrat<-svydesign(id=~1,strata=~strata, weights=~weight, data=df, fpc=~fpc)
svymean(~answer, dstrat)

        mean    SE
answer1 0.60803 0.2573
answer2 0.23518 0.1755
answer3 0.15679 0.1479

answer1 = good
answer2 = neutral
answer3 = bad

library(survey)
id <- c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
strata <- c(6, 6, 6, 7, 7, 7, 8, 8, 8, 8, 8, 8)
weight <- c(60, 75, 85, 140, 170, 175, 270, 310, 325, 785, 1450, 3920)
fpc <- c(8, 8, 8, 7, 7, 7, 6, 6, 6, 6, 6, 6)
answer <- c("2", "2", "3", "1", "2", NA, NA, 2, "3", NA, "1", NA)
df <- data.frame(id=id, strata=strata, weight=weight, fpc=fpc, answer=answer)


# this is probably a mistake
df <- df[complete.cases(df), ]
# in most data sets, you should be using na.rm=TRUE later
# and not tossing out statements before the `svydesign` gets run

df$ones <- as.numeric( df$answer %in% 1 )

df$threes <- as.numeric( df$answer %in% 3 )

dstrat<-svydesign(id=~1,strata=~strata, weights=~weight, data=df, fpc=~fpc)

a <- svymean( ~ ones + threes , dstrat , na.rm = TRUE )

svycontrast(a, list(avg=c(0,0), diff=c(1,-1)))