How to use ggplot with Haven dataset - r

Question

New to coding and R but have a STATA dataset, I want to use ggplot for visulations of my data however, I get multiple errors such as
no applicable method for 'rescale' applied to an object of class "c('haven_labelled', 'vctrs_vctr', 'double')"
I dont know how to convert them so I can plot them for visualisations,
the lines of code are as followed:
Data <- read_dta("longitudinal_td.dta")
Data <- Data %>%
select(pidp,wave,age_dv,sex_dv,ethn_dv,sf1_dv,bmi_dv,sf12pcs_dv,fihhmnnet1_dv,sf12mcs_dv) %>%
filter(wave == "1", age_dv<=50)%>%
mutate(pipd = row_number(),age=age_dv, sex=sex_dv, ethnicity = ethn_dv, general_health=sf1_dv,
bmi=bmi_dv, physical_component_score=sf12pcs_dv, mental_component_score=sf12mcs_dv, household_income=fihhmnnet1_dv)%>%
select(-pipd,-age_dv,-sex_dv,-ethn_dv,-sf1_dv,-bmi_dv,-sf12pcs_dv,-sf12mcs_dv,-fihhmnnet1_dv)
I hope this is correct, here is the dput:
Essentially im just trying to explore BMI but i dont know if I can just plot these or have to assign the numbers to a label like it already is done in haven labels
dput(head(Data))
structure(list(pidp = structure(c(68001367, 68006127, 68008167,
68009527, 68010207, 68010887), label = "cross-wave person identifier (public release)", format.stata = "%12.0g"),
wave = structure(c(1, 1, 1, 1, 1, 1), label = "interview wave", format.stata = "%8.0g"),
age = structure(c(39, 39, 38, 31, 24, 45), label = "Age, derived from dob_dv and intdat_dv", format.stata = "%8.0g"),
sex = structure(c(1, 2, 2, 1, 2, 2), label = "Sex, derived", format.stata = "%8.0g", labels = c(Male = 1,
Female = 2), class = c("haven_labelled", "vctrs_vctr", "double"
)), ethnicity = structure(c(1, 1, 1, 1, 1, 1), label = "Ethnic group (derived from multiple sources)", format.stata = "%8.0g", labels = c(`white uk` = 1,
irish = 2, `gypsy or irish traveller` = 3, `any other white background` = 4,
`white and black caribbean` = 5, `white and black african` = 6,
`white and asian` = 7, `any other mixed background` = 8,
indian = 9, pakistani = 10, bangladeshi = 11, chinese = 12,
`any other asian background` = 13, caribbean = 14, african = 15,
`any other black background` = 16, arab = 17, `any other ethnic group` = 97
), class = c("haven_labelled", "vctrs_vctr", "double")),
general_health = structure(c(2, 4, 5, 3, 1, 1), label = "General health", format.stata = "%8.0g", labels = c(excellent = 1,
`very good` = 2, good = 3, fair = 4, `or Poor?` = 5), class = c("haven_labelled",
"vctrs_vctr", "double")), bmi = structure(c(29.6, 38.8, 21.5,
24.2, 25, 25.5), label = "Body Mass Index", format.stata = "%12.0g")

Answer 1

Thanks for posting an example of your data with dput(). The format of the data you have posted suggests that it has somehow become a list rather than a data frame. You need to convert it to a data frame - as you're using haven I would stick with the tidyverse and do it with as_tibble().
Similarly, you want the labels rather than the underlying integers. You can simply apply as_factor to the whole data frame to do this.
Your data is then ready to be piped to ggplot2. For example:
library(dplyr)
library(ggplot2)
library(haven)
Data |>
as_tibble() |>
as_factor() |>
ggplot() +
geom_boxplot(aes(x=sex, y=bmi))