`svysd`

extends the `survey`

package by calculating standard
deviations with syntax similar to the original package, which provides
only a `svyvar()`

function.

## Usage

```
svysd(
formula,
design,
na.rm = FALSE,
digits = getOption("jtools-digits", default = 3),
...
)
```

## Arguments

- formula
A formula (e.g., ~var1+var2) specifying the term(s) of interest.

- design
The

`survey.design`

or`svyrep.design`

object.- na.rm
Logical. Should cases with missing values be dropped?

- digits
An integer specifying the number of digits past the decimal to report in the output. Default is 3. You can change the default number of digits for all jtools functions with

`options("jtools-digits" = digits)`

where digits is the desired number.- ...
Additional arguments passed to

`svyvar()`

.

## Details

An alternative is to simply do `sqrt(svyvar(~term, design = design))`

.
However, if printing and sharing the output, this may be misleading since
the output will say "variance."

## Note

This function was designed independent of the survey package and is neither endorsed nor known to its authors.

## See also

Other survey package extensions:
`svycor()`

Other survey tools:
`pf_sv_test()`

,
`svycor()`

,
`weights_tests()`

,
`wgttest()`

## Examples

```
if (requireNamespace("survey")) {
library(survey)
data(api)
# Create survey design object
dstrat <- svydesign(id = ~1,strata = ~stype, weights = ~pw, data = apistrat,
fpc=~fpc)
# Print the standard deviation of some variables
svysd(~api00+ell+meals, design = dstrat)
}
#> std. dev.
#> api00 123.250
#> ell 21.267
#> meals 29.503
```