`survey_prop()`

now uses proportions as the default, which should confidence interval improve coverage, but does mean results may slightly change (#141, #142, thanks @szimmer)- New function
`survey_corr()`

calculates the correlation between 2 variables, (#150, #151, thanks @szimmer & @bschneidr) - Added method for
`dplyr::reframe`

for srvyr’s objects - The function
`as_survey_rep()`

now accepts`type="ACS"`

and`type="successive-difference"`

for user-supplied replicate weights. (#153, thanks @bschneidr) - Squashed some deprecation warnings introduced by dplyr 1.1.0 (which is now the minimum version)

- Fix for upcoming version of tidyselect (#147, thanks @hadley)

- Add function
`cur_svy_wts()`

to access the survey weights (#136, #139, thanks @ray-p144 and @bschneidr) - Allow access to survey context functions like
`cur_svy()`

and`cur_svy_wts()`

in`mutate`

and`filter`

(#138, #139, thanks @ray-p144 and @bschneidr) - Improve behavior of
`interact()`

when using`cascade()`

(#133, thanks @szimmer) - Fix a bug with non-standard names of grouping variables (like
`1234`

) in cascade (#132, thanks @szimmer)

- Uses the new quantile functions provided in version 4.1 of the
survey package. The old survey quantile functions can be accessed with
`survey_old_quantile()`

and`survey_old_median()`

- Adds a new function
`interact`

that makes it easier to calculate proportions among interacted groups - “Filering joins” (
`anti_join`

and`semi_join`

) are now available for srvyr objects. You must put the`tbl_svy`

object first. (#65, #120, @bschneidr) - Auto-unpacking of data.frames works even inside of a named
data.frame column (like one created by
`dplyr::across`

). (#129) - Miscellaneous documentation improvements (#119, #126, #127)

`survey_mean()`

with no`x`

no longer errors when there are no grouping variables (#117)

`summarize`

has been rearchitected,- main user facing improvements are:
`dplyr::across()`

now works within it- dplyr functions like
`dplyr::cur_group()`

,`dplyr::cur_group_id()`

,`dplyr::cur_data()`

work in it (as well as new analogous functions srvyr-specific`cur_svy()`

and`cur_svy_full()`

)

- The only known breaking change is:
objects in the

`summarize`

will refer to the output of`summarize`

before the input. Meaning code that looks like this:`%>% summarize(api99 = survey_mean(api99), api_diff = survey_mean(api00 - api99)) dstrata`

will now error because it calculates the mean of

`api99`

before using it inside of the calculation for`api_diff`

. This behavior better matches`dplyr`

’s so will likely be kept.

- main user facing improvements are:
Support for

`group_map()`

/`group_walk()`

/`group_map_dfr()`

,`group_split()`

,`group_nest()`

and`nest_by()`

were added for`tbl_svy`

objects.Support

`drop_na`

from tidyr (#107).`as_survey()`

and`as_survey_()`

are now idempotent: given a`srvyr`

survey object (a`tbl_srv`

), they return it unchanged. If extra arguments are provided, they are ignored with a warning (#97, thanks @krivit).`rename_with()`

now works with surveys (#96, thanks @krivit).

Fix to ensure that ordered factors can be used as grouping variables or as inputs to

`survey_count`

and`survey_tally`

(#92, thanks for reporting @szimmer & @walkerke & for fixing @bschneidr).Fix to ensure that numeric values can be used in grouping variables (#78 & #74, thanks for reporting @tzoltak & fix @bschneidr)

Some improvements for dplyr 1.0 (#79)

`transmute()`

now works (thanks for reporting @caayala),`summarise()`

’s`.groups`

argument is respected, and multi-row returns to`summarise()`

work. (Unfortunately the new`across()`

function isn’t quite supported in`summarise()`

yet, it will hopefully come soon)

- Another fix for upcoming dplyr
- Fix in vignette for changes to vardpoor package

- Fix for upcoming version of dplyr (thanks @romainfrancois)

`unweighted`

now evaluates in the right context and so will provide correct error when an incorrectly interpolated function is used (#70, thanks for reporting @tlmcmurry)`filter_at`

works now, (#57, thanks for reporting @dcaseykc & helping @bschneidr).Fix for upcoming version of tibble (#72).

`filter`

ing on grouped survey designs now works correctly (#54, thanks for reporting @dcaseykc)Added function

`pull`

(#63, thanks @dcaseykc)`df`

parameter now set to be degrees of freedom of survey for quantiles and variance to match other functions.Updated tests to work with upcoming version of survey (#66).

Small update to quasiquotation syntax inside

`unweighted`

to improve consistency with recent rlang updates (#54).Added functions

`survey_tally()`

and`survey_count()`

(#53)

New functions survey_var and survey_sd to calculate population variance and standard deviaton.

Computation of standard errors in all survey_ functions can be suppressed by setting vartype=NULL (#45, thanks @tzoltak).

Fixed an issue where you’d get an error when summarize components returned different lengths of data - usually when factor levels were not present in the data (#49).

Removed references to MonetDBLite since it has been removed from CRAN.

Small updates to replace soft-deprecated dplyr functions with their tibble and tidyselect equivalents (#52, thanks @bschneidr).

survey_mean/survey_total allow

`deff="replace"`

like their survey package forbearers. (#46, thanks @mandes95)Fixes for new release of dplyr

Add warning to explain that design effects cannot be calculated on proportions. (#39, thanks @mlaviolet)

Remove dependency on stringr in tests and add DBI to suggests so that test dependencies are correctly specified (#40, thanks CRAN!)

- Bug fix for calculating multiple quantiles on grouped data (#38, thanks @iantperry)

When converting from a survey db-backed survey to a srvyr one srvyr now tries to capture the updates you’ve already sent. If dbplyr can convert the function, then it will bring the update. If it can’t it will warn you (#35).

Small bug fixes, mostly having to do with CRAN checks, running on CI services, or for upstream rev dep checks.

srvyr now uses tidy evaluation from rlang. The “underscore” functions have been soft deprecated in favor of quosure splicing. See dplyr’s vignette “programming” for more details. In almost all cases, the old syntax will still work, with one exception: the standard evaluation function

`as_survey_twophase_()`

had to be changed slightly so that the entire list is inside quotation.Datbase support has been rewritten. It should be faster now and doesn’t require a unique identifier. You also can now convert survey db-backed surveys to srvyr with as_survey.

srvyr now has a pkgdown site, check it out at http://gdfe.co/srvyr/

- Remove test blocking survey update

Added support for dplyr mutate_at/_if/_all and summarize_at/_if/_all for srvyr surveys.

Fixed a few bugs introduced with dplyr 0.6. This version of srvyr will work with both old versions of dplyr and 0.6, but may be full of warnings if you update dplyr. Full support for the new dplyr is coming soon.

- Added support for database backed surveys, using dplyr’s handling of DBI. Because of problems interacting with the survey package twophase designs do not work.

Fixed a problem with confidence levels not being passed into quantiles

Added deff parameter to

`survey_mean()`

,`survey_total()`

and`survey_median()`

, and a df parameter to those functions and`survey_quantile()`

/`survey_median()`

.`summarize`

and`mutate`

match dplyr’s behavior when arguments aren’t named (uses`dplyr::auto_name()`

)

New function

`cascade`

summarizes groups, and cascades to create summary statistics of groups of groups.Fixed a bug for confidence intervals for

`survey_total()`

on groups.Fixed some issues with the upcoming version of dplyr.