#' format a result of latent class analysis with `poLCA_result`
#'
#' format a result of latent class analysis with `poLCA_result`
#'
#' @param .poLCA_result_table an object exported from `poLCA_result()`
#' @param nclass number of latent classes to check class property
#'
#' @importFrom magrittr %>%
#' @importFrom dplyr filter tibble pull transmute row_number mutate bind_rows select
#' @importFrom tidyr unnest pivot_wider
#' @importFrom purrr list_flatten pluck
#'
#' @export
#'
poLCA_check_class <- function(.poLCA_result_table, nclass){
if(!inherits(.poLCA_result_table, 'poLCA_result')) stop('.poLCA_result_table must be an object exported from `poLCA_result()`')
.poLCA <- filter(.poLCA_result_table, model.no == nclass)
class_prop <-
tibble(
estimate =
pull(.poLCA, model) %>%
pluck(1, 'P')
) %>%
transmute(
variable = 'クラス構成割合',
class = row_number(),
outcome = NA,
estimate
)
lca_output <-
unnest(.poLCA, tidy) %>%
select(variable:estimate) %>%
bind_rows(class_prop, .) %>%
pivot_wider(names_from = class, values_from = estimate)
return(lca_output)
}
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