How to achieve class size of each profile when using TidyLPA?

[tb4872]

Dear all,

I am new to R programming software. I am now performing LPA using TidyLPA. The model suggests that the 5 -profile option fits best. However, I would like to achieve the class size (number of cases in each profile). I couldn't find the syntax to avhieve this. Also, I would like to investigate the mean difference of each variable among the five profiles. Anyone knows the systax to perform this?

Thanks in advance for any comments and suggestions.

[nirgrahamuk]

to find the number of cases that were used to build each profile you can do like this :

library(tidyverse)
library(tidyLPA)

#make example 
lpa_1 <- pisaUSA15[1:100, ] %>%
  select(broad_interest, enjoyment, self_efficacy) %>%
  single_imputation() %>%
  estimate_profiles(3) # 3 classes 

# get the numbers per class
get_data(lpa_1) |> group_by(Class) |> count()

# A tibble: 3 x 2
# Groups:   Class [3]
  Class     n
  <dbl> <int>
1     1    36
2     2     3
3     3    61