Latent Profile Analysis (LPA) with R

In this tutorial, you'll learn how to use Latent Profile Analysis (LPA) with R.
LPA is a powerful technique belonging to the class of finite mixture models that can help you uncover hidden subgroups in your data. Unlike Latent Class Analysis (LCA), which uses categorical variables to extract latent classes, latent profile analysis is based on continuous variables. By analyzing the patterns of the continuous variables, LPA allows you to identify groups of individuals who share similar characteristics.
If you're interested in data analysis or machine learning, LPA is a valuable tool to have in your toolkit. Follow along with this step-by-step guide to get started!
Link to the R code:
www.regorz-statistik.de/en/r_l...

[@PrabhathW]

Great...Very helpful... Thank you.

[@jiahaowang1558]

Very clear and heloful. Thank you! Would you give us some more details about data process and estimation problems when using model 2, 3 or 6 compared to 1?

[@RegorzStatistik]

I don't have more details about that. In general, the more latent parameters you are estimating the larger the risk of estimation problems.

[@hannahalveshagy4141]

Super helpful! If I wanted to control / account for a variable (e.g., education) in theLPA how mightI be able to alter the code to do that?

[@RegorzStatistik]

I am not sure if this package can do that, I haven't found anything about that in its documentation (and, at least, I don't know how to do it).
I'd guess that MPlus would provide these capabilities.

[@laurapissani]

This was really useful, thank you. I wonder if there is a part two, the one thing I could not figure out is how to see which subjects belong to which class. I can see their assigned id but not to which of my subject number would that correspond.

[@RegorzStatistik]

I believe the id is assigned in the order of the cases in the dataframe. I think with your original dataframe you could map your subject number to the case id (= to its position in the dataframe) and then merge those two dataframes (one with two columns, id and subject number, and the second with the results of the LPA) using the id - but programming these kinds of data transformations in r is not my core competency.

[@anton6562]

Do you think Multilevel LPA is possible in R?

[@RegorzStatistik]

I don't know.

[@tamlyhoctrongtoi8437]

my plot is blank, i don't know why

[@RegorzStatistik]

Unfortunately, I don't know why that happened with your data.

[@tamlyhoctrongtoi8437]

@@RegorzStatistik could you do a multi-group latent profile analyses (LPAs) with r video?

[@RegorzStatistik]

@@tamlyhoctrongtoi8437 I don't have any experience with multi-group LPA.