dataquieR (version 2.1.0)

util_remove_na_records: remove all records, that have at least one NA in any of the given variables

Description

remove all records, that have at least one NA in any of the given variables

Usage

util_remove_na_records(study_data, vars = colnames(study_data))

Value

modified study_data data frame

Arguments

study_data

the study data frame

vars

the variables being checked for NAs

See Also

Other data_management: util_assign_levlabs(), util_check_data_type(), util_check_group_levels(), util_compare_meta_with_study(), util_dichotomize(), util_merge_data_frame_list(), util_rbind(), util_replace_hard_limit_violations(), util_study_var2factor(), util_table_of_vct()

Examples

if (FALSE) {
dta <- iris
dim(util_remove_na_records(dta))
dta$Species[4:6] <- NA
dim(util_remove_na_records(dta))
dim(util_remove_na_records(dta, c("Sepal.Length", "Petal.Length")))
}