util_observations_in_subgroups: Utility function observations in subgroups

In dataquieR: Data Quality in Epidemiological Research

Utility function observations in subgroups

Description

This function uses !is.na to count the number of non-missing observations in subgroups of the data (list) and in a set of user defined response variables. In some applications it is required that the number of observations per e.g. factor level is higher than a user-defined minimum number.

Usage

util_observations_in_subgroups(x, rvs)

Arguments

x	data frame
rvs	variable names

Value

matrix of flags

See Also

prep_min_obs_level

util_check_group_levels

Other robustness_functions: util_as_valid_missing_codes(), util_check_one_unique_value(), util_correct_variable_use(), util_empty(), util_ensure_character(), util_ensure_in(), util_ensure_suggested(), util_expect_scalar(), util_fix_rstudio_bugs(), util_is_integer(), util_is_numeric_in(), util_is_valid_missing_codes(), util_match_arg(), util_only_NAs(), util_stop_if_not(), util_warn_unordered()

dataquieR documentation built on May 29, 2024, 7:18 a.m.