Calculate proportion from a survey design
create_analysis_prop_select_multiple.Rd
Calculate proportion from a survey design
Usage
create_analysis_prop_select_multiple(
design,
group_var = NA,
analysis_var,
level = 0.95,
sm_separator = "."
)
Arguments
- design
design survey
- group_var
dependent variable(s), variable to group by. If no dependent variable, it should be NA or empty string. If more than one variable, it should be one string with each variable separated by comma, e.g. "groupa, groupb" to group for groupa and groupb. NA is default for no grouping.
- analysis_var
the independent variable, variable to summarise. It has to be the parent select multiple
- level
the confidence level. 0.95 is default
- sm_separator
Select multiple separator. Default is "."
Examples
somedata <- data.frame(
groups = sample(c("group_a", "group_b"), size = 100, replace = TRUE),
smvar = rep(NA_character_, 100),
smvar.option1 = sample(c(TRUE, FALSE), size = 100, replace = TRUE, prob = c(.7, .3)),
smvar.option2 = sample(c(TRUE, FALSE), size = 100, replace = TRUE, prob = c(.6, .4)),
smvar.option3 = sample(c(TRUE, FALSE), size = 100, replace = TRUE, prob = c(.1, .9)),
smvar.option4 = sample(c(TRUE, FALSE), size = 100, replace = TRUE, prob = c(.8, .2)),
uuid = 1:100 %>% as.character()
) %>%
cleaningtools::recreate_parent_column(uuid = "uuid", sm_separator = ".")
#> Joining with `by = join_by(uuid)`
#> groups
#> smvar
#> smvar.option1
#> smvar.option2
#> smvar.option3
#> smvar.option4
#> groups
#> smvar.option1
#> smvar.option2
#> smvar.option3
#> smvar.option4
#> groups
#> smvar
#> smvar.option1
#> smvar.option2
#> smvar.option3
#> smvar.option4
somedata <- somedata$data_with_fix_concat
create_analysis_prop_select_multiple(srvyr::as_survey(somedata),
group_var = NA,
analysis_var = "smvar",
level = 0.95
)
#> # A tibble: 5 × 13
#> analysis_type analysis_var analysis_var_value group_var group_var_value stat
#> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 prop_select_… smvar option1 NA NA 0.625
#> 2 prop_select_… smvar option2 NA NA 0.562
#> 3 prop_select_… smvar option3 NA NA 0.115
#> 4 prop_select_… smvar option4 NA NA 0.854
#> 5 prop_select_… smvar NA NA NA NA
#> # ℹ 7 more variables: stat_low <dbl>, stat_upp <dbl>, n <dbl>, n_total <dbl>,
#> # n_w <dbl>, n_w_total <dbl>, analysis_key <chr>
create_analysis_prop_select_multiple(srvyr::as_survey(somedata),
group_var = "groups",
analysis_var = "smvar",
level = 0.95
)
#> # A tibble: 10 × 13
#> analysis_type analysis_var analysis_var_value group_var group_var_value
#> <chr> <chr> <chr> <chr> <chr>
#> 1 prop_select_multip… smvar option1 groups group_a
#> 2 prop_select_multip… smvar option2 groups group_a
#> 3 prop_select_multip… smvar option3 groups group_a
#> 4 prop_select_multip… smvar option4 groups group_a
#> 5 prop_select_multip… smvar NA groups group_a
#> 6 prop_select_multip… smvar option1 groups group_b
#> 7 prop_select_multip… smvar option2 groups group_b
#> 8 prop_select_multip… smvar option3 groups group_b
#> 9 prop_select_multip… smvar option4 groups group_b
#> 10 prop_select_multip… smvar NA groups group_b
#> # ℹ 8 more variables: stat <dbl>, stat_low <dbl>, stat_upp <dbl>, n <dbl>,
#> # n_total <dbl>, n_w <dbl>, n_w_total <dbl>, analysis_key <chr>