Nothing

```
library(survey)
# Dummy data for testing nonresponse adjustments
toy <- data.frame(id = 1:10,
dummy = 1,
class = c(rep("A", 5), rep("B", 5)),
responded = c(rep(TRUE, 8), FALSE, FALSE),
weight = rep(100, 10))
# With jackknife replicate weights
toy_repweights <- matrix(rep(1000/9, 100), nrow = 10)
diag(toy_repweights) <- rep(0, 10)
# Scramble up which person is in which jackknife group
toy_repweights <- toy_repweights[sample(1:10, size = 10), ]
toy_design <- svrepdesign(variables = toy[, 1:4],
weights = toy$weight,
repweights = toy_repweights,
type = "JK1",
scale = 0.9)
# Get the sum of the weights for the full sample
poptotals <- as.data.frame(svyby(formula = ~dummy,
by = ~class,
design = toy_design,
FUN = survey::svytotal))
poptotals$Freq <- poptotals$dummy
poptotals$dummy <- NULL
poptotals$se <- NULL
# Adjust the weights of the responding sample to match to the full sample
adjusted <- postStratify(design = subset(toy_design, responded),
strata = ~class,
population = poptotals)
# This works for the weights...
svyby(formula = ~dummy,
by = ~class,
design = adjusted,
FUN = survey::svytotal)
# ...and some, but not all, the replicate weights
stopifnot(all.equal(colSums(toy_design$repweights), colSums(adjusted$repweights)))
```

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