`svygofchisq.Rd`

A Rao-Scott-type version of the chi-squared test for goodness of fit to prespecified proportions. The test statistic is the chi-squared statistic applied to the estimated population table, and the reference distribution is a Satterthwaite approximation: the test statistic divided by the estimated scale is compared to a chi-squared distribution with the estimated df.

`svygofchisq(formula, p, design, ...)`

- formula
Formula specifying a single factor variable

- p
Vector of probabilities for the categories of the factor, in the correct order (will be rescaled to sum to 1)

- design
Survey design object

- ...
Other arguments to pass to

`svytotal`

, such as`na.rm`

An object of class `htest`

```
data(api)
dclus2<-svydesign(id=~dnum+snum, fpc=~fpc1+fpc2, data=apiclus2)
true_p <- table(apipop$stype)
svygofchisq(~stype,dclus2,p=true_p)
#>
#> Design-based chi-squared test for given probabilities
#>
#> data: ~stype
#> X-squared = 26.789, scale = 137.2990, df = 1.2401, p-value = 0.7459
#>
svygofchisq(~stype,dclus2,p=c(1/3,1/3,1/3))
#>
#> Design-based chi-squared test for given probabilities
#>
#> data: ~stype
#> X-squared = 2811.9, scale = 176.3389, df = 1.1477, p-value = 8.743e-05
#>
```