The surveydata package exposes functionality to support some of the dplyr verbs, e.g. dplyr::filter(). The computation is performed by dplyr, and the resulting object is of class surveydata (as well as the dplyr result).
# S3 method for surveydata
mutate(.data, ...)
# S3 method for surveydata
as_tibble(x, ..., .name_repair, rownames)
# S3 method for surveydata
as.tbl(x, ...)
# S3 method for surveydata
select(.data, ...)
# S3 method for surveydata
arrange(.data, ...)
# S3 method for surveydata
summarise(.data, ...)
# S3 method for surveydata
summarize(.data, ...)
# S3 method for surveydata
slice(.data, ...)surveydata object or tbl passed to dplyr verb
passed to dplyr verb
withr::with_package("dplyr", {
membersurvey %>%
as_tibble() %>%
.[c("id", "Q1", "Q2")] %>%
filter(Q2 == 2009)
})
#> # A tibble: 20 × 4
#> id Q1_1 Q1_2 Q2
#> <dbl> <dbl> <dbl> <ord>
#> 1 3 8 2 2009
#> 2 21 12 2.5 2009
#> 3 31 20 5 2009
#> 4 66 25 2 2009
#> 5 89 7 2.5 2009
#> 6 116 7 20 2009
#> 7 142 12 3 2009
#> 8 146 NA 26 2009
#> 9 194 5 2 2009
#> 10 195 20 10 2009
#> 11 197 25 14 2009
#> 12 214 25 2 2009
#> 13 219 27 2 2009
#> 14 221 20 1 2009
#> 15 222 19 7 2009
#> 16 239 11 4 2009
#> 17 253 12 7 2009
#> 18 255 31 11 2009
#> 19 269 45 25 2009
#> 20 276 5 10 2009