select_bi_cases: Select cases based on minimum number of available session...

In milanwiedemann/lcstools: Univariate and Bivariate Latent Change Score Modelling

Select cases based on minimum number of available session scores on two longitudinal measures

Description

Select cases based on minimum number of available session scores on two longitudinal measures

Usage

select_bi_cases(data, id_var, var_list_x, var_list_y, min_count_x, min_count_y)

Arguments

data	A data frame in "wide" format, i.e. one column for each measurement point and one row for each observation.
id_var	String, specifying id variable.
var_list_x	Vector, specifying variable names of construct X in sequential order.
var_list_y	Vector, specifying variable names of construct Y in sequential order.
min_count_x	Numeric, specifying minimum number of available scores for construct X.
min_count_y	Numeric, specifying minimum number of available scores for construct Y.

Value

tibble

Examples

select_bi_cases(data_bi_lcsm,
  id_var = "id",
  var_list_x = names(data_bi_lcsm)[2:11],
  var_list_y = names(data_bi_lcsm)[12:21],
  min_count_x = 7,
  min_count_y = 7
)

milanwiedemann/lcstools documentation built on March 3, 2023, 5:14 a.m.