Working with labelled data

I'm not really sure because I haven't worked with labelled data much. However, I can imagine that having multiple choice data in a single variable could make the labelled package not work right. Happy to look at an example if you have some code you can share.

Here you go David. Thanks.

#Daframe for type of kits 
type_kit1 <- pdm_subset_cleandata |>
  select(1,4:7)
              
#Tidy q2 Survey question
type_kit1 <- type_kit1 |>
  pivot_longer(
  cols = c(q_2_1,q_2_2,q_2_3,q_2_4),
  names_to = "q_2",
  values_to = "type_kit1_received",
  values_drop_na = TRUE
  )      
 
# Update the type of kits dataframe as a factor
type_kit1 |>
  generate_dictionary()

type_kit1 |>
  as_factor()

type_kit1_factor <- 
  type_kit1 |>
  as_factor ()


#Aggregate the variable type_kit1_received
type_kit1_factor <- type_kit1_factor|>
  count(type_kit1_received)

Can you make this fully reproducible so I can run your code? I'd need to have the data importing step work so I can see what your data looks like.

I'm happy to do this, but I'm not quite sure what you mean. Do you want me to make a different plot than the one I show in the video?

I am sorry for being vague. What I meant is: Can you use data in the form that you would normally use it (i.e. not labelled data from spss/stata etc), and then create a similar plot that you did in the video (i.e. the video where you used the labelled data by transforming the variable into a factor)? What I would love to do is create plots/graphs etc that have meaningful text in it, so that the plot/graph is intuitive for the reader of the report. In order to do that - don´t you often need some type of text string that explains what we are looking at? Even if we don´t call it "a variable label" and "value labels" it is often more meaningful to have variables show up with text (such as in the penguins data, where Islands and Penguins have character string names, they are not calles 1, 2, 3 (for the three different penguin types), for example. I really want to understand what is the best practice of dealing with data in R, and it seems a bit time consuming to always have to specify in a plot that what the x and y labels/values are.

If I might chime in here, I think what you'll need is a combination of a tailored function and the use of the fct() function. You can have a vector containing your "labels" and assign them to another variable values when mutating them into a factor using fct(). We have an extra lesson on factors, we'll put it up so you can take a look! Also, we'll discuss some of that a bit later, after we go through advanced data wrangling and data viz! =D

Gracielle's suggestion is probably your best bet. Since she knows your data too, maybe she can put something together for you based on your data.

Awesome! The extra lesson is already up here: https://rfortherestofus.com/courses/r-in-3-months-fall-2024/lessons/factors

I'll try a couple of things with your data and then we can book a 1:1 to go through it =D